#Kubernetes Review

[annajade456]

Becoming a DevOps Pro: The Art of Choosing the Ideal Online Course

In today's fast-paced and technology-driven world, the role of a DevOps engineer has become increasingly vital. Organizations worldwide are embracing DevOps practices to streamline their software development and delivery processes. DevOps professionals serve as the linchpins of efficient and agile development operations, playing a pivotal role in breaking down silos between development and IT operations. This collaborative approach, coupled with automation, leads to more efficient and reliable software development.

A top-tier DevOps course is your gateway to success in this high-demand field. It goes beyond theoretical knowledge, focusing on providing practical skills that can be directly applied in real-world situations. These courses are meticulously designed to cover a wide array of essential topics that are fundamental to DevOps practices. 

Let's explore some steps to help you find the best online DevOps course that aligns with your goals and sets you on the path to a successful DevOps career.

1. Define Your Goals: When embarking on your journey to find the ideal DevOps course, it's crucial to begin by clearly defining your goals. Ask yourself what you hope to achieve. Are you starting from scratch with little to no prior knowledge of DevOps practices? Are you seeking to enhance your existing DevOps skills? Or perhaps your objective is to earn a specific certification in the field, like the AWS Certified DevOps Engineer or Docker Certified Associate. Understanding your goals will significantly influence your course selection.

2. Check Course Content: The core of a top-tier DevOps course lies in its content. Such a course should be comprehensive, covering a wide range of DevOps topics that equip you with a well-rounded knowledge of the field. Look for courses that provide in-depth coverage of fundamental DevOps concepts and practices. This includes areas such as version control, continuous integration/continuous deployment (CI/CD) pipelines, automation tools, containerization (with technologies like Docker), orchestration (commonly utilizing Kubernetes), and cloud platforms such as AWS, Azure, or Google Cloud. 

3. Instructor Expertise: Instructors play a pivotal role in your learning journey. Their qualifications and real-world experience directly impact the quality of education you receive. To ensure you're getting the best guidance, consider courses led by instructors with a strong background in DevOps, including relevant certifications. Instructors with hands-on experience can offer valuable insights and practical advice that extends beyond theoretical knowledge. Their expertise is particularly crucial when it comes to understanding the real-world applications of DevOps practices. Thus, researching the instructors' qualifications and expertise is a vital factor to consider in your course selection process.

4. Hands-On Experience: DevOps is a hands-on field, emphasizing practical experience to master its concepts. Look for a course that integrates hands-on labs, real-world projects, and scenarios where you can directly apply what you learn. These practical exercises are essential for developing the skills and confidence necessary to become proficient in DevOps practices. With hands-on experience, you'll have the opportunity to work through real DevOps challenges, learn how to solve problems, and understand the intricacies of applying DevOps principles in actual scenarios. 

5. Student Reviews: One of the most reliable ways to gauge the quality of a DevOps course is by reading reviews from previous students. These reviews often provide candid and honest accounts of the course's strengths and areas for improvement. By listening to the experiences of those who have already undertaken the course, you can gain valuable insights into the quality of the course content, the effectiveness of the instructors, and the overall learning experience. 

6. Certification Preparation: If your goal is to earn specific DevOps certifications, ensure that the course you choose offers preparation for these certifications. DevOps certifications, such as the AWS Certified DevOps Engineer or Docker Certified Associate, are valuable credentials that can significantly enhance your career prospects. A course explicitly designed to prepare you for these certifications provides targeted training, aligning the curriculum with the certification requirements. This focused preparation can better equip you to successfully pass the certification exam and validate your DevOps expertise.

7. Flexibility: Flexibility is a crucial consideration, especially if you have existing commitments or a busy schedule. Look for courses that offer flexibility in terms of learning options. Some courses provide self-paced learning, enabling you to progress through the material at your own speed. Others may offer live sessions that accommodate different time zones and availability. Flexibility ensures that your course fits seamlessly into your schedule, making it easier to manage your educational journey alongside other responsibilities.

8. Cost and Value: While assessing courses, make a careful evaluation of their cost and the value they offer. Keep in mind that investing in quality education can lead to better career opportunities and potentially higher earning potential. Compare course prices while considering the comprehensiveness of the curriculum, the expertise of the instructors, the availability of hands-on experiences, and the alignment with your goals. Weigh the cost against the potential return on investment your education can bring to your career. Sometimes, a slightly higher investment in a top-tier course can translate into significant long-term benefits.

In conclusion, the best online DevOps course is one that aligns with your specific goals, provides comprehensive content, and offers practical, hands-on experience. Thoroughly researching courses, instructors, reading student reviews, and considering your schedule and budget will empower you to make an informed decision. If you're seeking high-quality DevOps training that encompasses all these aspects, ACTE Technologies stands out as an excellent choice. Their well-rounded educational experience can set you on the path to success in the ever-evolving and highly rewarding field of DevOps. As the DevOps landscape continues to evolve, your investment in education will serve as a solid foundation for a prosperous and dynamic career.

[certocen]

Understanding the Role of an AWS Solutions Architect in Modern Cloud Infrastructure

As the new technology era evolved, cloud computing revolutionized how organizations deploy, manage, and scale their IT infrastructure. Among the front-runners of cloud platforms is Amazon Web Services (AWS), a giant of a player with a gigantic portfolio of services spanning from simple web hosting to sophisticated machine learning and data analytics. At the fulcrum of utilizing AWS effectively is the central position of an AWS Solutions Architect—a professional who designs secure, scalable, high-performance, and trusted cloud solutions. With enterprises rapidly transferring their workloads to the cloud, the need for skilled AWS Solutions Architects has grown, and the profession is now among the most crucial in the field of cloud computing.

What Does an AWS Solutions Architect Do?

An AWS Solutions Architect is tasked with converting technical specifications into architecture designs that dictate how cloud infrastructure and applications should be designed and deployed. The experts collaborate with IT operations teams, developers, project managers, and business stakeholders to determine business requirements and design cloud systems that are scalable, cost-saving, and reliable. Whether assisting an emerging startup roll out a new application or a large corporation migrate legacy systems to the cloud, an AWS Solutions Architect ensures architecture is meeting needs current and future. They specialize in a wide array of AWS services such as EC2 for compute, S3 for storage, RDS for databases, VPC for networking, and Lambda for serverless computing and understand how to use these tools to build efficient systems that add value.

Key Work of an AWS Solutions Architect

Being an AWS Solutions Architect is all about a lot more than designing out systems. They are generally doing end-to-end project delivery, from planning to deployment and optimization. Any given day could find them attending technical reviews, demoing solutions to stakeholders, determining the most optimal AWS services to use, and making sure the architecture aligns with AWS's well-architected framework, with an emphasis on operational excellence, security, reliability, performance efficiency, and cost optimization. Most of the time, AWS Solutions Architect is also an ambassador to non-technical and technical staff, decoding arcane technical words into easy-to-understand actionable strategies for business leaders. They may also have to apply DevOps patterns to enable continuous integration and delivery pipelines, handle Infrastructure as Code (IaC) using products such as AWS CloudFormation or Terraform, and monitor system performance through AWS CloudWatch and X-Ray.

Skills and Certifications Required for AWS Solutions Architects

To be successful as an AWS Solutions Architect, one should have a good grasp of cloud computing principles and a good grasp of IT infrastructure such as networking, databases, storage devices, and security. One should be skilled in designing distributed systems and should also have a good grasp of how AWS services integrate with one another. Although practical experience cannot be replaced, getting the relevant certifications can authenticate your knowledge and improve your credibility. The most suitable certifications are the AWS Certified Solutions Architect – Associate and the AWS Certified Solutions Architect – Professional. These are designed to assess your skill in designing and deploying dynamic scalable, fault-tolerant, highly available, and reliable applications on AWS. Apart from that, programming language knowledge such as Python, Java, or Node.js, as well as DevOps tools like Jenkins, Docker, and Kubernetes, will provide you with a competitive advantage. 

Why AWS Solutions Architect Career is in Hot Demand

Greater usage of cloud services across industries—such as healthcare, banking, entertainment, and education—has witnessed a sudden boom in the demand for AWS Solutions Architects with skills.

With increasingly larger numbers of firms attempting to bring their workloads on AWS or expand their cloud infrastructure, they need skilled specialists to lead them through this procedure, reduce potential risks, and make sure they are leveraging all the features AWS has to provide. Based on job market trends, the AWS Solutions Architect position is one of the most rewarding and in-demand IT careers, with average salaries between $120,000 and more than $160,000 per year, depending on experience and location. Furthermore, remote work innovations have optimized the potential for AWS Solutions Architects worldwide to work with best-in-class companies anywhere globally. 

Real-World Impact: How AWS Solutions Architects Drive Innovation

AWS Solutions Architects are not only system architects but also innovation enablers.

Through designing flexible, secure, and elastic cloud solutions, they enable companies to get products to market quicker, reach customers globally, and adapt to shifting market needs in a matter of days. For instance, an e-commerce company collaborating with an AWS Solutions Architect would be able to accommodate a last-minute spike in website traffic for a holiday sale without interruption. A healthcare business would be able to securely store and process patient data in compliance with regulations through AWS's HIPAA-compliant solutions. A new media company would be able to deliver high-quality video with low latency through AWS's global content delivery network. These are just a few among several ways in which AWS Solutions Architects make a tremendous contribution in terms of fitting cloud technology in accordance with business objectives. 

Conclusion: Why Every Cloud Strategy Needs an AWS Solutions Architect

There are several paths to the cloud, and if not guided correctly, there can be problems like unnecessary expenses, loopholes in security, and inefficiencies in the system.

The AWS Solutions Architect is where all these issues stop.

With extensive AWS technology knowledge and a vision, these experts make sure that companies not only move to the cloud securely but flourish there. Whether you are an executive charting your cloud course or a future cloud expert hoping to develop a fulfilling career, it is crucial that you know the importance of an AWS Solutions Architect. While cloud adoption accelerates, these architects will be at the forefront of digital change—designing the systems driving the future.

[avinash007]

Measuring ROI in an AI Proof of Concept

Return on investment (ROI) guides organizations in deciding whether new initiatives justify resources. With an ai proof of concept, the stakes often feel higher—machine learning models, specialized data sets, and new infrastructure can rack up costs. Yet success can yield major wins, from operational gains to deeper user engagement. This blog explores how to systematically measure ROI in AI pilot projects and ensure those insights translate into more confident, data-driven expansions.

1. Defining Success Indicators

Cost-Reduction Metrics: E.g., “15% decrease in manual review time per day.”

Performance Upgrades: E.g., “Automated suggestions improved accuracy by 30%.”

User Engagement: E.g., “Chatbot usage soared by 40% after launch.”

Clear definitions let you quantify how the pilot aligns with strategic goals. If none of the metrics show improvement, the pilot might need rethinking.

2. Cost Components

Data Preparation: Labeling, cleaning, or merging data from scattered sources.

Model Development: ML engineering overhead—like CPU/GPU usage, specialized data scientists, or dev tools.

Pilot Deployment: Docker, Kubernetes, or cloud hosting charges.

Maintenance: Fixes, updates, and model re-training if performance drifts.

Tracking these helps you isolate each expense, forming a robust cost baseline for your ROI calculations.

3. Quantifying Benefits

Efficiency Gains: Did the pilot reduce manual steps? For instance, a helpdesk AI might cut average resolution time from 12 minutes to 6 minutes, saving labor hours.

Revenue Uplift: In some cases, a well-targeted AI pilot—like product recommendations—may boost cross-sales or conversions.

Quality Improvements: If AI-led inspection or analytics yields fewer defects or better forecasts, the resulting cost avoidance translates to real business value.

While intangible benefits like brand innovation or team morale matter, tangible metrics usually take precedence in ROI justification.

4. Data-Driven Approaches to ROI Tracking

4.1 A/B Testing Compare user interactions or processes in an AI pilot group vs. a control group. For example, half your site visitors see the AI-driven feature, half do not. Differences in behavior or outcomes highlight pilot benefits.

4.2 Real-Time Dashboards Visualizing cost usage, time saved, or user uptake as the pilot runs ensures immediate feedback. If metrics stall, you can adapt quickly—like adjusting model hyperparameters or focusing on new data sets.

4.3 Post-Pilot Analysis After the pilot, compile key stats into a final report: cost savings, success rates, or user opinions. This summary shapes the argument for further expansions or more advanced AI features.

5. Bridging the Gap Between Pilot and Full-Scale Implementation

Refine the Model: If the pilot’s accuracy was borderline acceptable, further data or re-training might close the gap for enterprise usage.

Enhance Architecture: For large-scale usage, add better DevOps integration or advanced orchestration with microservices.

Stakeholder Buy-In: Present the pilot’s ROI. If a chatbot saved 200 staff-hours monthly, scaling across more teams multiplies that advantage.

6. Potential Challenges in ROI Analysis

Attribution Issues: Distinguishing which gains come directly from the AI pilot vs. outside factors like seasonal demand spikes.

Overlapping Initiatives: If multiple transformations happen at once, it may be tough to isolate the pilot’s contribution.

Long-Term vs. Short-Term Gains: A short pilot might show minimal immediate gains, but set the foundation for bigger future returns.

7. Finalizing ROI-Focused Recommendations

Document Everything: Each cost item, from labeling hours to pipeline integration, ensures transparent budgeting.

Emphasize Quick Wins: Even small improvements can encourage broader stakeholder acceptance.

Propose Next Steps: If ROI is positive, highlight immediate expansions or features that could amplify results.

Conclusion

Calculating ROI for an ai proof of concept involves analyzing cost inputs meticulously against measurable improvements. By zeroing in on efficiency, accuracy, or revenue metrics, you can gauge the pilot’s tangible value. A well-structured ROI evaluation not only justifies the pilot’s budget but provides a roadmap for scaling AI across the enterprise—where real transformation, market competitiveness, and sustainable growth are realized. With data-driven ROI insights, your organization can confidently move from pilot success to broad-scale AI adoption.

[kyber-vietnam]

Kyber Network is hiring a Backend Engineer (Aggregator team) in Hanoi or HCMC!

*** ABOUT KYBER NETWORK

Kyber Network (https://kyber.network) is an industry-leading blockchain company, providing cryptocurrency liquidity for the largest companies in the DeFi (decentralized finance). The company raised US$52M in its token sale in 2017, making it one of the largest cryptocurrency-based fundraising in history.

Two co-founders, Dr. Luu The Loi (Chairman) and Victor Tran Huy Vu (CEO), were honored in Asia’s Forbes 30 under 30 in the ‘Finance - Investment’ category by Forbes magazine in 2017 and have since established the company as a market leader. Dr. Luu The Loi also has a PhD in blockchain security technology, and is one of the 10 most prominent Innovators under 35 in the Technology field in the Asia Pacific region (Innovators Under 35 Asia Pacific) published by the MIT Technology Review.

Kyber has developed a family of products including:

KyberSwap: KyberSwap.com - Trade & Earn at the Best Rates in DeFi with our leading Decentralized Exchange (DEX) Aggregator that does >US$1B in monthly trading volume

KyberDAO: Be part of the community governing Kyber Network to shape the future of DeFi and earn $KNC tokens

And many more stealth developments and ventures that the company has taken stake in.

Kyber Network has offices in Singapore, Hanoi, and Ho Chi Minh City:

Singapore office: 1 Upper Circular Road, #05-01 Singapore 058400

Hanoi office: 7th floor Web3 Tower, 15 Lane 4 Duy Tan Str., Cau Giay Dist., Hanoi, Vietnam

Ho Chi Minh city office: 4th floor, 113 Tran Quoc Toan, Vo Thi Sau Ward, District 3, Ho Chi Minh City, Vietnam

Join our team of brilliant and committed professionals pursuing the goal of creating a “Decentralized Economy for Everyone” based on blockchain technology.

Are you ready to take up the challenge of creating world-changing innovations in the next decade? Apply now.

*** JOB DESCRIPTION

Join the Aggregator Team, the backbone of KyberSwap’s flagship product, driving $26 billions in volume across 15 chains and serving 2M users within the year of 2024. You’ll build robust systems for liquidity aggregation, offering users with highly optimization in both speed and swap rate.

Responsibilities:

Lead architectural decisions for designing backend services for robust, high-volume, multi-chain aggregation.

Enable up-to-date integration with new liquidity protocols to ensure deep liquidity access and robust aggregation.

Ensure fault tolerance, scalability, and low-latency for the platform.

Optimize backend systems for performance and reliability and maintain service availability.

Collaborate with cross-functional teams to deliver efficient, scalable solutions for additional features.

Own the system, stay ahead of industry trends, continuously learning and applying new technologies to improve the product.

Qualifications:

Strong 3+ years of backend design and development experience (Go, or similar).

Experience with database and caching systems (SQL, Redis are preferred).

Familiarity with Docker and Kubernetes.

Ability to work in a fast-paced, evolving environment, to learn and adapt quickly to new things.

Solid troubleshooting and optimization skills.

Nice to Have:

Experience with DeFi protocols or blockchain systems.

Understanding of security best practices in backend development.

*** WHAT WE CAN OFFER

Vietnam - based benefits here

*** HOW TO APPLY

Please send your resume to hr@kyber.network with email subject “Your full name_Job title_kyber.vn”

Or talk to our Recruiters on Telegram/Skype: @anhpt_32

*** CONNECT WITH US

Discord: https://discord.com/invite/NB3vc8J9uv

Twitter EN: https://twitter.com/kybernetwork

Twitter KyberDAO: https://twitter.com/KyberDAO

Twitter Turkish: https://twitter.com/kyberturkish

Twitter Japanese: https://twitter.com/kybernetwork_jp

Forum: https://gov.kyber.org/

Reddit: https://www.reddit.com/r/kybernetwork/

Facebook EN: https://www.facebook.com/kyberswap

Facebook Careers: https://www.facebook.com/KyberCareers

Youtube: https://www.youtube.com/channel/UCQ-8mEqsKM3x9dTT6rrqgJw

Only shortlisted candidates will be contacted.

For other job opportunities at Kyber Group, click here https://kyber.vn/.

[chloedecker0]

Top Container Management Tools You Need to Know in 2024

Containers and container management technology have transformed the way we build, deploy, and manage applications. We’ve successfully collected and stored a program and all its dependencies in containers, allowing it to execute reliably across several computing environments.

Some novices to programming may overlook container technology, yet this approach tackles the age-old issue of software functioning differently in production than in development. QKS Group reveals that Container Management Projected to Register a CAGR of 10.20% by 2028

Containers make application development and deployment easier and more efficient, and developers rely on them to complete tasks. However, with more containers comes greater responsibility, and container management software is up to the task.

We’ll review all you need to know about container management so you can utilize, organize, coordinate, and manage huge containers more effectively.

Download the sample report of Market Share: https://qksgroup.com/download-sample-form/market-share-container-management-2023-worldwide-5112 

What is Container Management?

Container management refers to the process of managing, scaling, and sustaining containerized applications across several environments. It incorporates container orchestration, which automates container deployment, networking, scaling, and lifecycle management using platforms such as Kubernetes. Effective container management guarantees that applications in the cloud or on-premises infrastructures use resources efficiently, have optimized processes, and are highly available.

How Does Container Management Work?

Container management begins with the development and setup of containers. Each container is pre-configured with all of the components required to execute an application. This guarantees that the application environment is constant throughout the various container deployment situations.

After you’ve constructed your containers, it’s time to focus on the orchestration. This entails automating container deployment and operation in order to manage container scheduling across a cluster of servers. This enables more informed decisions about where to run containers based on resource availability, limitations, and inter-container relationships.

Beyond that, your container management platform will manage scalability and load balancing. As the demand for an application change, these systems dynamically modify the number of active containers, scaling up at peak times and down during quieter moments. They also handle load balancing, which distributes incoming application traffic evenly among all containers.

Download the sample report of Market Forecast: https://qksgroup.com/download-sample-form/market-forecast-container-management-2024-2028-worldwide-4629 

Top Container Management Software

Docker

Docker is an open-source software platform that allows you to create, deploy, and manage virtualized application containers on your operating system.

The container contains all the application’s services or functions, as well as its libraries, configuration files, dependencies, and other components.

Apache Mesos

Apache Mesos is an open-source cluster management system and a control plane for effective distribution of computer resources across application delivery platforms known as frameworks.

Amazon Elastic Container Service (ECS)

Amazon ECS is a highly scalable container management platform that supports Docker containers and enables you to efficiently run applications on a controlled cluster of Amazon EC2 instances.

This makes it simple to manage containers as modular services for your applications, eliminating the need to install, administer, and customize your own cluster management infrastructure.

OpenShift

OpenShift is a container management tool developed by RedHat. Its architecture is built around Docker container packaging and a Kubernetes-based cluster management. It also brings together various topics related to application lifecycle management.

Kubernetes

Kubernetes, developed by Google, is the most widely used container management technology. It was provided to the Cloud Native Computing Foundation in 2015 and is now maintained by the Kubernetes community.

Kubernetes soon became a top choice for a standard cluster and container management platform because it was one of the first solutions and is also open source.

Containers are widely used in application development due to their benefits in terms of constant performance, portability, scalability, and resource efficiency. Containers allow developers to bundle programs and services, as well as all their dependencies, into a standardized isolated element that can function smoothly and consistently in a variety of computer environments, simplifying application deployment. The Container Management Market Share, 2023, Worldwide research and the Market Forecast: Container Management, 2024-2028, Worldwide report are critical for acquiring a complete understanding of these emerging threats.

This widespread usage of containerization raises the difficulty of managing many containers, which may be overcome by using container management systems. Container management systems on the market today allow users to generate and manage container images, as well as manage the container lifecycle. They guarantee that infrastructure resources are managed effectively and efficiently, and that they grow in response to user traffic. They also enable container monitoring for performance and faults, which are reported in the form of dashboards and infographics, allowing developers to quickly address any concerns.

Talk To Analyst: https://qksgroup.com/become-client 

Conclusion

Containerization frees you from the constraints of an operating system, allowing you to speed development and perhaps expand your user base, so it’s no surprise that it’s the technology underlying more than half of all apps. I hope the information in this post was sufficient to get you started with the appropriate containerization solution for your requirements.

[shubhamjobsinlondon]

Top IT Jobs in London: High-Demand Roles & Salary Insights

London has long been a global center for business, finance, and innovation. Over the past decade, it has also emerged as one of the most attractive destinations for IT professionals. With a thriving tech ecosystem, diverse job opportunities, and competitive salaries, London is an excellent choice for those looking to build a career in IT.

Get More Job Opportunity:-https://jobsinlondon.com

Why London is the Ideal Destination for IT Jobs?

Booming Tech Industry: London is home to a rapidly growing tech sector, with numerous startups, established companies, and multinational corporations setting up offices in the city. Major players like Google, Microsoft, Amazon, and IBM have a strong presence in London, making it a hotbed for IT jobs.

Diverse Job Roles: Whether you're a software developer, cybersecurity expert, data analyst, or IT project manager, London offers opportunities across various domains. The demand for IT professionals continues to rise, driven by advancements in artificial intelligence, cloud computing, and data science.

Competitive Salaries: IT jobs in London offer some of the highest salaries in the UK. On average, a software engineer can expect to earn between £45,000 and £80,000 per year, while specialized roles like AI engineers and cybersecurity analysts can earn even more.

Networking & Growth Opportunities: London hosts numerous tech conferences, networking events, and meetups, providing IT professionals with excellent opportunities to connect, learn, and advance in their careers. Events like London Tech Week and AI & Big Data Expo bring together industry leaders and innovators.

Popular IT Job Roles in London

1. Software Developer/Engineer

Responsibilities: Designing, developing, and maintaining software applications.

Required Skills: Programming languages (Java, Python, C++, JavaScript), problem-solving, teamwork.

Average Salary: £50,000 - £90,000 per year.

2. Data Scientist

Responsibilities: Analyzing data, building predictive models, and helping businesses make data-driven decisions.

Required Skills: Python, R, machine learning, data visualization, SQL.

Average Salary: £55,000 - £100,000 per year.

3. Cybersecurity Analyst

Responsibilities: Protecting systems and networks from cyber threats and attacks.

Required Skills: Ethical hacking, risk assessment, network security, incident response.

Average Salary: £50,000 - £90,000 per year.

4. Cloud Engineer

Responsibilities: Managing cloud infrastructure, deploying cloud-based solutions, ensuring security and scalability.

Required Skills: AWS, Azure, Google Cloud, Kubernetes, DevOps.

Average Salary: £60,000 - £110,000 per year.

5. IT Project Manager

Responsibilities: Overseeing IT projects, managing budgets, timelines, and teams.

Required Skills: Agile methodology, communication, leadership, risk management.

Average Salary: £55,000 - £100,000 per year.

Top Companies Hiring IT Professionals in London

Google

Amazon

Microsoft

IBM

Accenture

Deloitte

Revolut

Monzo

Facebook (Meta)

Barclays & HSBC (for fintech roles)

Where to Find IT Jobs in London?

1. Online Job Portals

Jobs In London– A great platform for networking and job searching.

Indeed UK – Lists a variety of IT job openings.

Glassdoor – Provides insights into salaries and company reviews.

CW Jobs – A job board dedicated to IT and tech jobs.

2. Recruitment Agencies

Hays Technology

Robert Half Technology

Michael Page IT

Spring Technology

3. Company Career Pages

Most tech giants and startups post their job openings on their official career pages. Keeping an eye on these websites can help you land a job directly.

Tips to Land an IT Job in London

Build a Strong CV & Portfolio: Highlight your skills, experience, and projects. If you are a developer, having a GitHub portfolio can be beneficial.

Gain Certifications: Certifications such as AWS Certified Solutions Architect, Cisco CCNA, or CompTIA Security+ can boost your resume.

Network Actively: Attend London-based tech meetups, conferences, and LinkedIn networking events.

Stay Updated: The IT industry is ever-evolving, so continuous learning and upskilling are crucial.

Prepare for Interviews: Research common IT interview questions and practice coding challenges on platforms like LeetCode or HackerRank.

Conclusion

London offers an exciting and dynamic environment for IT professionals. With a booming tech industry, high salaries, and abundant job opportunities, it is one of the best places to build a rewarding career in IT. Whether you're a fresh graduate or an experienced tech expert, London has something to offer for everyone in the IT sector. Start your job search today and take advantage of the numerous opportunities available in this thriving city!

[24x7serversupport]

Google Cloud Service Management

https://tinyurl.com/23rno64l [vc_row][vc_column width=”1/3″][vc_column_text] Google Cloud Services Management Google Cloud Services management Platform, offered by Google, is a suite of cloud computing services that run on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics, and machine learning. Unlock the Full Potential of Your Cloud Infrastructure with Google Cloud Services Management As businesses transition to the cloud, managing Google Cloud services effectively becomes essential for achieving optimal performance, cost efficiency, and robust security. Google Cloud Platform (GCP) provides a comprehensive suite of cloud services, but without proper management, harnessing their full potential can be challenging. This is where specialized Google Cloud Services Management comes into play. In this guide, we’ll explore the key aspects of Google Cloud Services Management and highlight how 24×7 Server Support’s expertise can streamline your cloud operations. What is Google Cloud Services Management? Google Cloud Services Management involves the strategic oversight and optimization of resources and services within Google Cloud Platform (GCP). This includes tasks such as configuring resources, managing costs, ensuring security, and monitoring performance to maintain an efficient and secure cloud environment. Key Aspects of Google Cloud Services Management Resource Optimization Project Organization: Structure your GCP projects to separate environments (development, staging, production) and manage resources effectively. This helps in applying appropriate access controls and organizing billing. Resource Allocation: Efficiently allocate and manage resources like virtual machines, databases, and storage. Use tags and labels for better organization and cost tracking. Cost Management Budgeting and Forecasting: Set up budgets and alerts to monitor spending and avoid unexpected costs. Google Cloud’s Cost Management tools help in tracking expenses and forecasting future costs. Cost Optimization Strategies: Utilize GCP’s pricing calculators and recommendations to find cost-saving opportunities. Consider options like sustained use discounts or committed use contracts for predictable workloads. Security and Compliance Identity and Access Management (IAM): Configure IAM roles and permissions to ensure secure access to your resources. Regularly review and adjust permissions to adhere to the principle of least privilege. Compliance Monitoring: Implement GCP’s security tools to maintain compliance with industry standards and regulations. Use audit logs to track resource access and modifications. Performance Monitoring Real-time Monitoring: Utilize Google Cloud’s monitoring tools to track the performance of your resources and applications. Set up alerts for performance issues and anomalies to ensure timely response. Optimization and Scaling: Regularly review performance metrics and adjust resources to meet changing demands. Use auto-scaling features to automatically adjust resources based on traffic and load. [/vc_column_text][vc_btn title=”Get a quote” style=”gradient” shape=”square” i_icon_fontawesome=”” css_animation=”rollIn” add_icon=”true” link=”url:https%3A%2F%2F24x7serversupport.io%2Fcontact-us%2F|target:_blank”][/vc_column][vc_column width=”2/3″][vc_column_text] Specifications [/vc_column_text][vc_row_inner css=”.vc_custom_1513425380764{background-color: #f1f3f5 !important;}”][vc_column_inner width=”1/2″][vc_column_text] Compute From virtual machines with proven price/performance advantages to a fully managed app development platform. Compute Engine App Engine Kubernetes Engine Container Registry Cloud Functions [/vc_column_text][vc_column_text] Storage and Databases Scalable, resilient, high-performance object storage and databases for your applications. Cloud Storage Cloud SQL Cloud Bigtable Cloud Spanner Cloud Datastore Persistent Disk [/vc_column_text][vc_column_text] Networking State-of-the-art software-defined networking products on Google’s private fiber network. Cloud Virtual Network Cloud Load Balancing Cloud CDN Cloud Interconnect Cloud DNS Network Service Tiers [/vc_column_text][vc_column_text] Big Data Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and reliable messaging. BigQuery Cloud Dataflow Cloud Dataproc Cloud Datalab Cloud Dataprep Cloud Pub/Sub Genomics [/vc_column_text][vc_column_text] Identity and Security Control access and visibility to resources running on a platform protected by Google’s security model. Cloud IAM Cloud Identity-Aware Proxy Cloud Data Loss Prevention API Security Key Enforcement Cloud Key Management Service Cloud Resource Manager Cloud Security Scanner [/vc_column_text][/vc_column_inner][vc_column_inner width=”1/2″][vc_column_text] Data Transfer Online and offline transfer solutions for moving data quickly and securely. Google Transfer Appliance Cloud Storage Transfer Service Google BigQuery Data Transfer [/vc_column_text][vc_column_text] API Platform & Ecosystems Cross-cloud API platform enabling businesses to unlock the value of data deliver modern applications and power ecosystems. Apigee API Platform API Monetization Developer Portal API Analytics Apigee Sense Cloud Endpoints [/vc_column_text][vc_column_text] Internet of things Intelligent IoT platform that unlocks business insights from your global device network Cloud IoT Core [/vc_column_text][vc_column_text] Developer tools Monitoring, logging, and diagnostics and more, all in an easy to use web management console or mobile app. Stackdriver Overview Monitoring Logging Error Reporting Trace Debugger Cloud Deployment Manager Cloud Console Cloud Shell Cloud Mobile App Cloud Billing API [/vc_column_text][vc_column_text] Machine Learning Fast, scalable, easy to use ML services. Use our pre-trained models or train custom models on your data. Cloud Machine Learning Engine Cloud Job Discovery Cloud Natural Language Cloud Speech API Cloud Translation API Cloud Vision API Cloud Video Intelligence API [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_column_text] Why Choose 24×7 Server Support for Google Cloud Services Management? Effective Google Cloud Services Management requires expertise and continuous oversight. 24×7 Server Support specializes in providing comprehensive cloud management solutions that ensure your GCP infrastructure operates smoothly and efficiently. Here’s how their services stand out: Expertise and Experience: With a team of certified Google Cloud experts, 24×7 Server Support brings extensive knowledge to managing and optimizing your cloud environment. Their experience ensures that your GCP services are configured and maintained according to best practices. 24/7 Support: As the name suggests, 24×7 Server Support offers round-the-clock assistance. Whether you need help with configuration, troubleshooting, or performance issues, their support team is available 24/7 to address your concerns. Custom Solutions: Recognizing that every business has unique needs, 24×7 Server Support provides tailored management solutions. They work closely with you to understand your specific requirements and implement strategies that align with your business objectives. Cost Efficiency: Their team helps in optimizing your cloud expenditures by leveraging Google Cloud’s cost management tools and providing insights into cost-saving opportunities. This ensures you get the best value for your investment. Enhanced Security: 24×7 Server Support implements robust security measures to protect your data and comply with regulatory requirements. Their proactive approach to security and compliance helps safeguard your cloud infrastructure from potential threats. [/vc_column_text][/vc_column][/vc_row]

[nitor-infotech]

Top Platform Engineering Practices for Scalable Applications 

In today’s digital world, scalability is a crucial attribute for any platform. As businesses grow and demands change, building a platform that can adapt and expand is essential. Platform engineering practices focus on creating robust, flexible systems. These systems not only perform underload but also evolve with emerging technologies. Here are some top practices to ensure your applications remain scalable and efficient. 

1. Adopt a Microservices Architecture 

A microservices architecture breaks down a monolithic application into smaller, independent services that work together. This approach offers numerous benefits for scalability: 

Independent Scaling: Each service can be scaled separately based on demand. This ensures efficient resource utilization. 

Resilience: Isolated failures in one service do not bring down the entire application. This improves overall system stability. 

Flexibility: Services can be developed, deployed, and maintained using different technologies. This allows teams to choose the best tools for each job. 

2. Embrace Containerization and Orchestration 

Containerization, with tools like Docker, has become a staple in modern platform engineering. Containers package applications with all their dependencies. This ensures consistency across development, testing, and production environments. Orchestration platforms like Kubernetes further enhance scalability by automating the deployment, scaling, and management of containerized applications. This combination allows for rapid, reliable scaling. It alsod helps maintain high availability. 

3. Leverage Cloud-Native Technologies 

Cloud-native solutions are designed to exploit the full benefits of cloud computing. This includes utilizing Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate the provisioning of infrastructure. Cloud platforms offer dynamic scaling, robust security features, and managed services that reduce operational complexity. Transitioning to cloud-native technologies enables teams to focus on development. Meanwhile, underlying infrastructure adapts to workload changes. 

4. Implement Continuous Integration/Continuous Deployment (CI/CD) 

A robust CI/CD pipeline is essential for maintaining a scalable platform. Continuous integration ensures that new code changes are automatically tested and merged. This reduces the risk of integration issues. Continuous deployment, on the other hand, enables rapid, reliable releases of new features and improvements. By automating testing and deployment processes, organizations can quickly iterate on their products. They can also respond to user demands without sacrificing quality or stability. 

5. Monitor, Analyze, and Optimize 

Scalability isn’t a one-time setup—it requires continuous monitoring and optimization. Implementing comprehensive monitoring tools and logging frameworks is crucial for: 

tracking application performance,  

spotting bottlenecks, and  

identifying potential failures.  

Metrics such as response times, error rates, and resource utilization provide insights that drive informed decisions on scaling strategies. Regular performance reviews and proactive adjustments ensure that the platform remains robust under varying loads. 

6. Focus on Security and Compliance 

As platforms scale, security and compliance become increasingly complex yet critical. Integrating security practices into every stage of the development and deployment process—often referred to as DevSecOps—helps identify and mitigate vulnerabilities early. Automated security testing and regular audits ensure that the platform not only scales efficiently but also maintains data integrity and compliance with industry standards. 

Scalable applications require thoughtful platform engineering practices that balance flexibility, efficiency, and security. What happens when organizations adopt a microservices architecture, embrace containerization and cloud-native technologies, and implement continuous integration and monitoring? Organizations can build platforms capable of handling growing user demands. These practices streamline development and deployment. They also ensure that your applications are prepared for the future.  

Read more about how platform engineering powers efficiency and enhances business value. 

[learning-code-ficusoft]

Automation in DevOps (DevSecOps): Integrating Security into the Pipeline

In modern DevOps practices, security can no longer be an afterthought — it needs to be embedded throughout the software development lifecycle (SDLC). This approach, known as DevSecOps, integrates security automation into DevOps workflows to ensure applications remain secure without slowing down development.

Why Security Automation?

Traditional security models relied on manual code reviews and vulnerability assessments at the end of the development cycle, often leading to bottlenecks and delayed releases. Security automation addresses these issues by: ✔️ Detecting vulnerabilities early in the CI/CD pipeline ✔️ Reducing manual intervention and human error ✔️ Ensuring continuous compliance with industry regulations ✔️ Improving incident response time

Key Areas of Security Automation in DevOps

1. Automated Code Security (Static & Dynamic Analysis)

Static Application Security Testing (SAST): Scans source code for vulnerabilities before deployment (e.g., SonarQube, Checkmarx).

Dynamic Application Security Testing (DAST): Identifies security flaws in running applications (e.g., OWASP ZAP, Burp Suite).

Software Composition Analysis (SCA): Detects vulnerabilities in third-party dependencies (e.g., Snyk, WhiteSource).

🔹 Example: Running SAST scans automatically in a Jenkins pipeline to detect insecure coding practices before merging code.

2. Secrets Management & Access Control

Automating the detection and handling of hardcoded secrets, API keys, and credentials using tools like HashiCorp Vault, AWS Secrets Manager, and CyberArk.

Implementing least privilege access via automated IAM policies to ensure only authorized users and services can access sensitive data.

🔹 Example: Using HashiCorp Vault to generate and revoke temporary credentials dynamically instead of hardcoding them.

3. Automated Compliance & Policy Enforcement

Infrastructure as Code (IaC) security scans using Checkov, OPA (Open Policy Agent), or Terraform Sentinel ensure that cloud configurations follow security best practices.

Automated audits and reporting help maintain compliance with GDPR, HIPAA, SOC 2, and ISO 27001 standards.

🔹 Example: Using Checkov to scan Terraform code for misconfigurations before provisioning cloud resources.

4. Container & Kubernetes Security

Scanning container images for vulnerabilities using Trivy, Aqua Security, or Anchore before pushing them to a registry.

Implementing Kubernetes security policies (e.g., Pod Security Policies, Kyverno, or Gatekeeper) to enforce security rules.

🔹 Example: Using Trivy in a CI/CD pipeline to scan Docker images before deployment to Kubernetes.

5. Continuous Security Monitoring & Threat Detection

Implementing SIEM (Security Information and Event Management) tools like Splunk, ELK Stack, or AWS Security Hub for real-time security event detection.

Using Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS) (e.g., Snort, Suricata) to detect and respond to security threats.

AI-driven anomaly detection via Amazon GuardDuty, Microsoft Defender for Cloud, or Google Chronicle.

🔹 Example: Configuring AWS Security Hub to automatically detect and alert on misconfigurations in an AWS environment.

6. Automated Incident Response & Remediation

Using SOAR (Security Orchestration, Automation, and Response) platforms like Splunk SOAR or Palo Alto Cortex XSOAR to automate security incident triage and response.

Creating automated playbooks for threat mitigation, such as isolating compromised containers or blocking suspicious IPs.

🔹 Example: Automating AWS Lambda functions to quarantine an EC2 instance when an anomaly is detected.

Bringing It All Together: A DevSecOps Pipeline Example

1️⃣ Code Commit: Developers push code to a Git repository. 2️⃣ Static Code Analysis: SAST tools scan for vulnerabilities. 3️⃣ Dependency Scanning: SCA tools check third-party libraries. 4️⃣ Secrets Detection: Git hooks or automated scanners look for hardcoded secrets. 5️⃣ Container Security: Images are scanned before being pushed to a container registry. 6️⃣ Infrastructure as Code Scanning: Terraform or Kubernetes configurations are checked. 7️⃣ Automated Security Testing: DAST and penetration tests run in staging. 8️⃣ Compliance Checks: Policies are enforced before deployment. 9️⃣ Real-time Monitoring: Logs and security events are analyzed for threats. 🔟 Incident Response: Automated workflows handle detected threats.

Final Thoughts

Security automation in DevOps is critical for ensuring that security does not slow down development. By integrating automated security testing, policy enforcement, and monitoring, teams can build resilient, compliant, and secure applications without sacrificing speed.

WEBSITE: https://www.ficusoft.in/devops-training-in-chennai/

[ludoonline]

Smart Cloud Cost Optimization: Strategies for Reducing Expenses Without Downtime

Cloud computing offers scalability, flexibility, and efficiency, but without proper management, costs can spiral out of control. Organizations often face challenges like over-provisioning, underutilized resources, and unexpected billing spikes. The key to reducing cloud expenses without impacting performance is smart cost optimization strategies.

In this blog, we’ll explore proven techniques to optimize cloud costs while ensuring high availability and uptime.

1. Understanding Cloud Cost Challenges

🔍 Why Do Cloud Costs Increase?

✔ Over-Provisioning – Allocating more resources than necessary, leading to wasted spending. ✔ Idle and Underutilized Resources – Instances running at low capacity or completely unused. ✔ Inefficient Scaling – Not using auto-scaling to adjust resources dynamically. ✔ Lack of Cost Visibility – Difficulty tracking real-time spending and forecasting future expenses. ✔ Data Transfer Costs – High expenses due to unoptimized data movement between regions and services.

Without proper monitoring and optimization, businesses end up paying for resources they don’t use.

2. Smart Strategies for Cloud Cost Optimization

��� 1. Implement Cost Monitoring and Analytics

Use cloud-native cost management tools to gain visibility into cloud spending:

AWS Cost Explorer

Azure Cost Management + Billing

Google Cloud Billing Reports

📊 Best Practice: Set up real-time alerts for unexpected cost increases and review billing dashboards regularly.

📉 2. Right-Size Cloud Resources

Right-sizing ensures that compute, storage, and database resources are optimized for actual workloads.

✅ Steps to Right-Size Resources: ✔ Analyze CPU, memory, and network usage trends. ✔ Scale down over-provisioned instances. ✔ Choose appropriate instance types for workloads. ✔ Leverage serverless computing (AWS Lambda, Azure Functions) for cost-efficient execution.

Example: A company running a large EC2 instance for a small workload can switch to a smaller instance and save 30-50% in costs.

🔄 3. Utilize Auto-Scaling and Load Balancing

Instead of keeping fixed resources running all the time, use auto-scaling to adjust resources based on demand.

✔ Auto-scaling tools:

AWS Auto Scaling

Google Cloud Autoscaler

Azure Virtual Machine Scale Sets

🔹 Load balancing distributes workloads efficiently, ensuring that no single instance is overutilized while others sit idle.

Example: A retail e-commerce site experiencing traffic spikes during sales events can auto-scale up during peak times and scale down during off-hours.

💾 4. Optimize Storage and Data Transfer Costs

Cloud storage can become a hidden cost drain if not managed properly.

✅ Storage Cost Optimization Tips: ✔ Use object lifecycle policies to automatically move old data to cheaper storage tiers (AWS S3 Intelligent-Tiering, Azure Blob Storage Tiers). ✔ Delete unused snapshots and backups. ✔ Compress and deduplicate data before storing.

🚀 Reducing Data Transfer Costs: ✔ Minimize cross-region data transfers. ✔ Use content delivery networks (CDNs) like AWS CloudFront to cache data and reduce direct transfer costs. ✔ Consolidate workloads in the same region to avoid inter-region charges.

💵 5. Use Reserved Instances and Savings Plans

Cloud providers offer discounts for committing to long-term resource usage.

✔ AWS Reserved Instances (RI) – Save up to 75% compared to on-demand pricing. ✔ Azure Reserved VM Instances – Offers cost savings for predictable workloads. ✔ Google Cloud Committed Use Discounts – Prepay for compute resources to reduce per-hour costs.

Example: A SaaS company running 24/7 workloads can switch to Reserved Instances and save thousands per year.

⚙ 6. Leverage Serverless and Containers

Serverless computing and containers help in reducing costs by using resources only when needed.

✔ Serverless services (AWS Lambda, Google Cloud Functions) charge only for execution time. ✔ Containers (Kubernetes, Docker) improve resource efficiency by running multiple applications on a single instance.

🔹 Why It Works?

No need to pay for idle infrastructure.

Applications scale automatically based on demand.

Reduces operational overhead.

3. Automating Cost Optimization with AI and Machine Learning

🌟 AI-powered tools analyze cloud usage patterns and provide real-time recommendations for cost savings.

🔹 Popular AI-driven Cost Optimization Tools: ✔ AWS Compute Optimizer – Suggests optimal EC2 instance types. ✔ Azure Advisor – Provides recommendations on reducing VM and database costs. ✔ Google Cloud Recommender – Identifies unused resources and suggests cost-saving actions.

🚀 Benefit: AI automates cost management, reducing manual intervention and improving cloud efficiency.

4. Key Takeaways for Smart Cloud Cost Optimization

✅ Monitor costs in real-time using cloud-native tools. ✅ Right-size resources to eliminate wasteful spending. ✅ Use auto-scaling and load balancing for efficient resource management. ✅ Optimize storage and minimize data transfer costs. ✅ Commit to Reserved Instances for long-term cost savings. ✅ Adopt serverless computing and containers for efficient resource usage. ✅ Leverage AI-driven cost optimization tools for automated savings.

🔹 By implementing these strategies, businesses can cut cloud costs significantly—without sacrificing performance or uptime.

Conclusion

Cloud cost optimization is not just about cutting expenses—it’s about using smart strategies to ensure efficiency, scalability, and high performance. With the right mix of monitoring, automation, and resource management, organizations can maximize cloud ROI while maintaining uninterrupted operations.

💡 Looking for expert cloud cost optimization solutions? Salzen Cloud helps businesses reduce costs, improve performance, and optimize cloud resources effortlessly. Contact us today!

[ramyavarshini]

What Does a Full-Stack Developer Do Daily?

Full-stack developers are the backbone of modern web applications, bridging the gap between frontend and backend development. Their role requires versatility, problem-solving skills, and the ability to juggle multiple technologies. Enrolling in a Full Stack Developer Course in Bangalore significantly enhances one’s ability to leverage Java’s capabilities effectively.

But what does a typical day look like for a full-stack developer? Let’s explore their daily routine and responsibilities.

Planning and Prioritization

A full-stack developer’s day usually begins with checking emails, reviewing messages, and going through project management tools like Jira or Trello to assess the tasks at hand. Most teams have a daily stand-up meeting where developers discuss what they worked on the previous day, what they plan to accomplish, and any roadblocks they may be facing. This meeting helps align the team and ensures smooth progress on ongoing projects.

After the stand-up, developers often review and merge code changes submitted by colleagues. Code reviews play a crucial role in maintaining code quality and fostering collaboration within the team.

Coding, Debugging, and Development

The core of a full-stack developer’s job is writing and maintaining code. This could involve building new features, fixing bugs, or optimizing application performance. Since they handle both frontend and backend development, their tasks vary widely. They might spend time writing API endpoints, structuring databases, or designing intuitive user interfaces using frameworks like React, Angular, or Vue.js.

Debugging is another significant part of their work. When issues arise, developers analyze logs, test different scenarios, and work with the QA team to ensure everything functions smoothly. They also write unit tests and perform code refactoring to improve maintainability.

Collaboration and Integration

After a lunch break, developers often collaborate with designers, product managers, and other engineers. A full-stack developer ensures seamless communication between frontend and backend components, making necessary adjustments to APIs, databases, or UI elements. It’s simpler to master this tool and progress your profession with the help of Best Online Training & Placement Programs, which provide thorough instruction and job placement support to anyone seeking to improve their talents.

They might also work with DevOps engineers to deploy new features, set up continuous integration/continuous deployment (CI/CD) pipelines, or monitor application performance using tools like AWS CloudWatch, Docker, or Kubernetes. Security is another critical concern, so developers regularly implement authentication mechanisms, data encryption, and other protective measures to safeguard user data.

Testing, Documentation, and Learning

As the day winds down, developers focus on writing documentation for the features they’ve implemented. Well-documented code helps other developers understand the application better and speeds up future development.

Testing is an ongoing process, and before signing off, developers often run final tests to ensure the stability of their code. They might also spend time learning new technologies, reading tech blogs, or participating in coding communities to stay updated with industry trends.

Conclusion

A full-stack developer’s day is fast-paced and diverse, requiring expertise in multiple technologies and excellent problem-solving skills. From coding and debugging to collaborating and deploying, their work is essential in building robust and scalable applications. Despite the challenges, the role is incredibly rewarding, offering continuous learning opportunities and the ability to create impactful digital solutions.

[avinash007]

Next Steps After an AI Proof of Concept: Scaling AI for Enterprise

Completing an ai proof of concept can feel like a milestone, yet the real transformation happens when you take those learnings to scale. Scaling AI for broader enterprise adoption involves bridging cultural, technical, and strategic gaps. It demands robust data pipelines, cross-functional collaboration, and continuous improvement cycles. This blog outlines how to capitalize on pilot success, from refining architecture to measuring ROI across more complex use cases.

1. Reviewing Pilot Outcomes and Lessons

1.1 Stakeholder Debrief Once the pilot ends, gather data scientists, business leads, and key users to discuss what went right or wrong. Pinpoint the pilot’s exact ROI, user acceptance levels, and areas needing improvement.

1.2 Goal Alignment Adjust enterprise-level KPIs based on pilot discoveries. If the pilot lowered manual data-processing time by 30%, consider scaling that success across adjacent processes.

2. Architecting for Enterprise Scale

Data Infrastructure Upgrades: Transition from local or limited pilot setups to robust, possibly cloud-based data lakes or warehouses.

High-Availability & Redundancy: Ensure continuous operation for mission-critical tasks; load balancing, auto-scaling clusters, and backup strategies become crucial.

Security Enhancements: Larger scopes might handle more sensitive data, necessitating advanced encryption, identity management, and compliance checks.

The leap from a pilot that might use minimal resources to enterprise-level usage can be significant. Plan for resource spikes, advanced monitoring, and cost management.

3. Integrating with Existing Systems

3.1 API-First Strategy APIs facilitate smooth communication between the AI solution and internal CRMs, ERPs, or third-party platforms. Ensuring stable, well-documented APIs reduces friction for teams that rely on the AI’s data or insights.

3.2 Orchestration & Automation Tools like Kubernetes or Docker containers ensure each AI component (data ingestion, model inference, logging) remains modular, scalable, and portable across different runtime environments.

4. Team Expansion and Training

Upskilling Existing Staff: The pilot’s success fosters an appetite for more AI-driven initiatives. Offering training for business analysts or domain experts can help them interpret AI outputs effectively.

Dedicated AI Roles: Data scientists, MLOps engineers, or AI product managers might be needed once the solution extends enterprise-wide.

Communication & Collaboration: Maintain cross-department synergy to avoid confusion over how new AI-driven data or processes integrate with daily workflows.

5. Monitoring, Maintenance, and Continuous Improvement

Real-Time Dashboards: For scaled deployments, track performance, usage metrics, and anomalies.

Automated Model Retraining: If data patterns shift, frequent updates keep AI predictions accurate.

Feedback Channels: Ongoing suggestions from end-users or domain teams refine the solution over time.

6. Sustaining ROI and Value Expansion

6.1 ROI Tracking Even post-deployment, ROI measurement is essential. Evaluate cost savings, revenue boosts, or intangible benefits (like staff satisfaction). This data justifies further enhancements or expansions.

6.2 New Use Cases An initial AI agent or analytics solution might find synergy in other departments—customer support chatbots could expand into internal helpdesk solutions, or supply chain forecasting might link to finance for better budgeting. Each scenario multiplies the enterprise’s net gain from adopting AI.

6.3 Multi-Stage Roadmap Formulate a multi-year plan for advanced functionalities—like introducing Agentic AI for dynamic decision-making or linking to generative AI for content creation. This keeps momentum strong and budgets realistic.

7. Partnering with Experts for Scale

While a pilot may be handled in-house or through basic partnerships, scaling often demands robust external expertise. Collaboration with specialized AI consulting providers can streamline:

Architecture Audits: Ensuring your environment is stable, secure, and capable of high availability.

Tool & Framework Recommendations: Adopting or switching to more enterprise-grade solutions.

Strategic Roadmapping: Plotting out advanced goals like agentic AI for multi-agent collaboration, or edge AI for real-time local decision-making.

Conclusion

Completing an ai proof of concept is an excellent start. However, the real gains materialize when you integrate those findings into large-scale implementations. This process involves upgrading your infrastructure, refining processes for continuous deployment, and furthering staff education. By focusing on synergy between technical design, organizational alignment, and robust governance, your AI solutions can evolve from a small pilot to a powerful, enterprise-wide engine driving data-driven success. Whether you stay with AI Agents or move toward more advanced agentic approaches, scaling AI effectively ensures your organization remains at the forefront of innovation.

[kyber-vietnam]

Kyber Network is hiring a Site reliability engineering in Hanoi or HCMC!

*** ABOUT KYBER NETWORK

Kyber Network (https://kyber.network) is an industry-leading blockchain company, providing cryptocurrency liquidity for the largest companies in the DeFi (decentralized finance). The company raised US$52M in its token sale in 2017, making it one of the largest cryptocurrency-based fundraising in history.

Two co-founders, Dr. Luu The Loi (Chairman) and Victor Tran Huy Vu (CEO), were honored in Asia’s Forbes 30 under 30 in the ‘Finance - Investment’ category by Forbes magazine in 2017 and have since established the company as a market leader. Dr. Luu The Loi also has a PhD in blockchain security technology, and is one of the 10 most prominent Innovators under 35 in the Technology field in the Asia Pacific region (Innovators Under 35 Asia Pacific) published by the MIT Technology Review.

Kyber has developed a family of products including:

KyberSwap: KyberSwap.com - Trade & Earn at the Best Rates in DeFi with our leading Decentralized Exchange (DEX) Aggregator that does >US$1B in monthly trading volume

KyberDAO: Be part of the community governing Kyber Network to shape the future of DeFi and earn $KNC tokens

And many more stealth developments and ventures that the company has taken stake in.

Kyber Network has offices in Singapore, Hanoi, and Ho Chi Minh City:

Singapore office: 1 Upper Circular Road, #05-01 Singapore 058400

Hanoi office: 7th floor Web3 Tower, 15 Lane 4 Duy Tan Str., Cau Giay Dist., Hanoi, Vietnam

Ho Chi Minh city office: 4th floor, 113 Tran Quoc Toan, Vo Thi Sau Ward, District 3, Ho Chi Minh City, Vietnam

Join our team of brilliant and committed professionals pursuing the goal of creating a “Decentralized Economy for Everyone” based on blockchain technology.

Are you ready to take up the challenge of creating world-changing innovations in the next decade? Apply now.

*** JOB DESCRIPTION

Responsibility

Build and automate tools and platforms to eliminate manual work, enhance system operations, and improve the developer experience.

Own and operate the current Kubernetes infrastructure, ensuring its reliability, scalability, and security.

Collaborate with engineering teams to troubleshoot and optimize infrastructure, resolving performance and availability issues.

Conduct R&D on infrastructure solutions to enable business growth and product development.

Implement and manage observability solutions using open-source tools to enhance monitoring, logging, and alerting.

Ensure infrastructure best practices in GCP (Google Cloud Platform), optimizing cost, security, and performance.

Requirements

Must have

Strong programming skills in Golang and proficiency in scripting languages (e.g., Bash, Python).

Experience managing stateful applications (e.g., PostgreSQL, Redis) in a cloud-native environment, including backup strategies, performance tuning, and high availability configurations.

Deep understanding of major DevOps tools (e.g., Terraform, Helm, ArgoCD, GitOps workflows).

Hands-on experience with open-source observability platforms (e.g., Prometheus, Grafana, OpenTelemetry, Loki).

Proficiency in Kubernetes (GKE) and containerized environments.

Familiarity with Google Cloud Platform (GCP) services and networking.

Nice to have

Experience with the Ethereum ecosystem.

Experience with running blockchain nodes.

*** WHAT WE CAN OFFER

Vietnam - based benefits here

*** HOW TO APPLY

Please send your resume to hr@kyber.network with email subject “Your full name_Job title_kyber.vn”

Or talk to our Recruiters on Telegram/Skype: @anhpt_32

*** CONNECT WITH US

Discord: https://discord.com/invite/NB3vc8J9uv

Twitter EN: https://twitter.com/kybernetwork

Twitter KyberDAO: https://twitter.com/KyberDAO

Twitter Turkish: https://twitter.com/kyberturkish

Twitter Japanese: https://twitter.com/kybernetwork_jp

Forum: https://gov.kyber.org/

Reddit: https://www.reddit.com/r/kybernetwork/

Facebook EN: https://www.facebook.com/kyberswap

Facebook Careers: https://www.facebook.com/KyberCareers

Youtube: https://www.youtube.com/channel/UCQ-8mEqsKM3x9dTT6rrqgJw

Only shortlisted candidates will be contacted.

For other job opportunities at Kyber Group, click here https://kyber.vn/.

[devopscourses1]

Azure DevOps Certification: Your Ultimate Guide to Advancing Your IT Career

Azure DevOps Certification

With the growing need for efficient software development and deployment, DevOps has become a fundamental approach for IT professionals. Among the available certifications, Azure DevOps Certification is highly sought after, validating expertise in managing DevOps solutions on Microsoft Azure. This guide provides insights into the certification, its benefits, career opportunities, and preparation strategies.

Understanding Azure DevOps

Azure DevOps is a cloud-based service from Microsoft designed to facilitate collaboration between development and operations teams. It includes essential tools for:

Azure Repos – Source code management using Git repositories.

Azure Pipelines – Automating build and deployment processes.

Azure Test Plans – Enhancing software quality through automated testing.

Azure Artifacts – Managing dependencies effectively.

Azure Boards – Agile project tracking and planning.

Gaining expertise in these tools helps professionals streamline software development lifecycles.

Why Pursue Azure DevOps Certification?

Obtaining an Azure DevOps Certification offers multiple advantages, such as:

Expanded Job Prospects – Preferred by employers looking for skilled DevOps professionals.

Higher Earnings – Certified individuals often earn more than non-certified peers.

Global Recognition – A credential that validates proficiency in Azure DevOps practices.

Career Progression – Opens doors to senior roles like DevOps Engineer and Cloud Consultant.

Practical Knowledge – Helps professionals apply DevOps methodologies effectively in real-world scenarios.

Who Should Consider This Certification?

This certification benefits:

Software Developers

IT Administrators

Cloud Engineers

DevOps Professionals

System Architects

Anyone looking to Learn Azure DevOps and enhance their technical skill set will find this certification valuable.

Azure DevOps Certification Options

Microsoft offers several certifications focusing on DevOps practices:

1. AZ-400: Designing and Implementing Microsoft DevOps Solutions

This certification covers:

DevOps strategies and implementation

Continuous integration and deployment (CI/CD)

Infrastructure automation and monitoring

Security and compliance

2. Microsoft Certified: Azure Administrator Associate

Aimed at professionals handling Azure-based infrastructures, including:

Network and storage configurations

Virtual machine deployment

Identity and security management

3. Microsoft Certified: Azure Solutions Architect Expert

This certification is ideal for those designing cloud-based applications and managing Azure workloads efficiently.

Career Opportunities with Azure DevOps Certification

Certified professionals can pursue roles such as:

DevOps Engineer – Specializing in automation and CI/CD.

Cloud Engineer – Focusing on cloud computing solutions.

Site Reliability Engineer (SRE) – Ensuring system stability and performance.

Azure Consultant – Assisting businesses in implementing Azure DevOps.

Automation Engineer – Enhancing software deployment processes through scripting.

These positions offer competitive salaries and significant career growth.

Key Skills Required for Azure DevOps Certification

Professionals preparing for the certification should have expertise in:

CI/CD Pipelines – Automating application delivery.

Infrastructure as Code (IaC) – Managing cloud environments through scripts.

Version Control Systems – Proficiency in Git and repository management.

Containerization – Understanding Docker and Kubernetes.

Security & Monitoring – Implementing best practices for secure deployments.

How to Prepare for the Azure DevOps Certification Exam?

1. Review the Exam Syllabus

The AZ-400 exam covers DevOps methodologies, security, infrastructure, and compliance. Understanding the objectives helps in creating a structured study plan.

2. Enroll in an Azure DevOps Course

Joining an Azure DevOps Advanced Course provides structured learning and hands-on experience. Platforms like Kodestree offer expert-led training, ensuring candidates are well-prepared.

3. Gain Hands-on Experience

Practical exposure is crucial. Setting up DevOps pipelines, managing cloud resources, and automating processes will enhance understanding and confidence.

4. Utilize Microsoft Learning Resources

Microsoft provides free documentation, learning paths, and virtual labs to help candidates prepare effectively.

5. Engage with DevOps Communities

Joining study groups, participating in discussions, and attending webinars keeps candidates updated with industry best practices.

Exam Cost and Preparation Duration

1. Cost

The AZ-400 certification exam costs approximately $165 USD, subject to location-based variations.

2. Preparation Timeline

Beginners: 3-6 months

Intermediate Professionals: 2-3 months

Experienced Engineers: 1-2 months

Azure DevOps vs AWS DevOps Certification

Best Training Options for Azure DevOps Certification

If you’re searching for the best DevOps Training Institute in Bangalore, consider Kodestree. They offer:

Hands-on projects and practical experience.

Placement assistance for job seekers.

Instructor-led Azure DevOps Training Online options for remote learners.

Other learning formats include:

Azure Online Courses for flexible self-paced study.

DevOps Coaching in Bangalore for structured classroom training.

DevOps Classes in Bangalore with personalized mentoring.

Tips for Successfully Passing the Exam

Study Microsoft’s official guides.

Attempt practice exams to identify weak areas.

Apply knowledge to real-world scenarios.

Keep up with the latest Azure DevOps updates.

Revise consistently before the exam day.

Conclusion

Azure DevOps Certification is a valuable credential for IT professionals aiming to specialize in DevOps methodologies and Azure-based cloud solutions. The increasing demand for DevOps expertise makes this certification an excellent career booster, leading to higher salaries and better job prospects.

For structured learning and expert guidance, explore Kodestree’s Azure DevOps Training Online and start your journey toward a rewarding career in DevOps today!

[softvision99]

write for us + software

Are you passionate about write for us + software, software development, programming, or technology? Do you have valuable insights, tutorials, or industry knowledge to share? If so, we invite you to contribute to our platform and become a guest writer!

Why Write for Us?

By contributing to our website, you will: ✅ Gain exposure to a broad tech audience. ✅ Boost your credibility as a software expert. ✅ Earn valuable backlinks to your website or portfolio. ✅ Help developers & tech enthusiasts by sharing your expertise.

Topics We Accept

We welcome high-quality, well-researched, and original articles on:

1. Software Development & Engineering

Best practices in software development.

Coding tips, tricks, and hacks.

Agile, Scrum, and software project management.

2. Programming Languages & Frameworks

Python, Java, JavaScript, C++, and more.

Web development (React, Angular, Vue).

Backend technologies (Node.js, Django, Laravel).

3. Software Testing & QA

Automated testing tools and techniques.

Manual vs. automated testing strategies.

4. AI, Machine Learning & Data Science

AI applications in software.

Data science trends and insights.

5. Cybersecurity & Software Security

Best practices for secure coding.

Protecting software from cyber threats.

6. Software Tools & SaaS Applications

Reviews of software tools and platforms.

Comparisons of SaaS solutions.

7. Cloud Computing & DevOps

AWS, Google Cloud, and Microsoft Azure.

CI/CD, containerization (Docker, Kubernetes).

Submission Guidelines

To ensure quality, please follow these rules: ✅ Original Content – No plagiarism, AI-generated, or republished content. ✅ Word Count – Minimum 1,500 words per article. ✅ Well-Structured – Use proper headings (H1, H2, H3). ✅ SEO Optimized – Include relevant keywords naturally. ✅ Engaging & Informative – Provide real value to readers. ✅ Relevant Images – Add screenshots, infographics, or code snippets.

How to Submit Your Article?

1️⃣ Email us at [Your Email] with the subject “Guest Post Submission – Software”. 2️⃣ Attach your article in Google Doc or Word format. 3️⃣ Include a short author bio (50-100 words) with your website or social links.

What Happens Next?

✔️ Our editorial team reviews submissions within 7 business days. ✔️ If approved, your article will be published with full credit. ✔️ You’ll receive a confirmation email with the live article link.

Join Our Tech Community!

Don’t miss this opportunity to showcase your expertise and contribute to the software development world.

📧 Ready to submit? Send your article to [softvisiondevelopmentofc@gmail.com] today!

We look forward to featuring your insights on our platform! 🚀

[krunal-vyas]

Hire Dedicated Developers in India to Secure Startup Funding

Startups looking to secure funding need a strong technical foundation. Investors prioritize companies with well-built, scalable products and reliable development teams. Hire dedicated developers in India offers startups access to world-class engineering talent while keeping costs significantly lower than in the U.S. or Europe.

This guide explores why investors focus on strong tech teams, the benefits of hiring Indian developers, key hiring strategies, and real-world case studies of successful startups.

By the end, you’ll have a clear roadmap for assembling a high-quality offshore development team in India to boost your funding potential.

Why Investors Prioritize Strong Tech Teams

1. The Role of a Skilled Development Team in Securing Funding

Investors seek a well-executed product vision backed by a competent technical team.

A dedicated software development team in India ensures efficient product development and reduces investor risk.

Scalable, high-quality products increase investor confidence and funding opportunities.

2. Startups That Secured Funding Due to Strong Technical Execution

Deel — A global payroll and HR platform enabling remote hiring. Raised $156M in Series C (2021), reaching unicorn status.

Gigster — On-demand software development platform. Secured $20M in Series B (2017) from investors like Andreessen Horowitz.

Andela — A tech talent marketplace connecting companies with global developers. Raised $200M from SoftBank (2021), valued at $1.5B.

3. How Investors Assess a Startup’s Technical Strength

Investors analyze the development team’s expertise, code quality, and scalability.

A well-structured software architecture boosts funding prospects.

Agile and remote development teams in India enhance a startup’s valuation.

Benefits of Hiring Dedicated Developers from India

1. Cost-Effective Development

Hiring developers in India is 30–40% cheaper than in the U.S. or Europe.

Startups can allocate more budget to marketing, customer acquisition, and scaling.

2. Access to Skilled Talent

India has over 5 million software developers, proficient in AI, blockchain, and full-stack development.

Expertise in MERN, MEAN, Python/Django, Java/Spring Boot, Flutter, and AI/ML technologies.

3. Faster Time-to-Market

24/7 development cycle due to time zone advantages accelerates product launch.

Rapid MVP development increases investor appeal.

4. Scalability & Flexibility

Easily scale teams up or down based on project needs.

Multiple engagement models: fixed-cost, hourly, or dedicated teams.

5. Founders Can Focus on Business Growth

A remote development team in India allows startup founders to focus on strategy, funding, and customer acquisition.

Key Tech Stacks & Roles Investors Look For

1. Essential Developer Roles:

Full-stack developers: React, Node.js, Angular

Mobile developers: iOS, Android, Flutter

AI/ML engineers: TensorFlow, PyTorch

DevOps specialists: AWS, Docker, Kubernetes

2. Popular Tech Stacks Among Funded Startups:

MERN, MEAN, Python/Django, Ruby on Rails, Java/Spring Boot

3. Aligning Tech Stack with Business Goals:

Choosing the right tech stack ensures scalability, security, and investor confidence.

How to Hire Dedicated Developers from India

1. Best Platforms to Hire Remote Developers:

Hiring Agencies: iQlance, Turing, Toptal

Freelance Marketplaces: Upwork, Fiverr, Freelancer

Dedicated Offshore Teams: Ideal for long-term collaboration

2. Evaluating & Selecting the Best Developers:

Conduct technical assessments and coding tests.

Assess communication skills and problem-solving abilities.

Review previous projects and client testimonials.

3. Choosing the Right Hiring Model:

Fixed-cost model: Best for short-term projects.

Hourly model: Ideal for ongoing development.

Dedicated team: Best for startups looking to scale rapidly.

4. Legal & Compliance Considerations:

Ensure NDAs, contracts, and IP protection to safeguard your business.

Case Studies: How Startups Secured Funding with Indian Developers

A U.S.-based payroll and HR platform leveraged Indian developers to enhance its automation and AI-driven payroll solutions, enabling rapid scalability. By integrating top-tier Indian engineering talent, the company built a robust platform that attracted investors, leading to a $130M funding round and a high valuation.

An on-demand software development platform tapped into India’s tech talent to provide cost-effective, high-quality engineering services. This strategy helped the company secure $10M in funding.

Both startups demonstrated how hiring skilled Indian developers can drive innovation, scale operations, and attract significant investment.

Overcoming Common Challenges in Offshore Development

1. Managing Time Zone Differences:

Implement overlapping work hours.

Use tools like Slack, Zoom, and Asana for seamless collaboration.

2. Communication Barriers:

Hire developers with strong English proficiency.

Set up clear documentation and regular meetings.

3. Ensuring Code Quality & Reliability:

Use agile development methodologies.

Implement automated testing and rigorous QA processes.

Steps to Get Started with Hiring Developers in India

Define Your Requirements — Identify the skills, tech stack, and team size you need.

Choose a Hiring Model — Decide between agencies, freelancers, or dedicated teams.

Conduct Developer Interviews — Assess technical skills, experience, and cultural fit.

Finalize Contracts & Start Development — Ensure legal compliance and begin onboarding.

Conclusion:

Investors prioritize strong technical teams because a well-executed product vision, backed by skilled developers, reduces risk and increases scalability. Startups with robust engineering teams are more likely to secure funding, as high-quality products and efficient development processes boost investor confidence. Hiring dedicated developers in India provides cost-effective access to top-tier engineering talent, ensuring rapid product development and market readiness.

Looking to hire dedicated developers in India for your startup? Contact iQlance today to build a high-quality, investor-ready tech team!