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bigeyeglobal · 22 days

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Cloud Computing vs Cloud Consulting

Cloud computing and cloud consulting are related but distinct concepts within the broader field of cloud services. Here’s a breakdown of the differences and how each plays a role in the technology landscape:

Cloud Computing

Cloud computing refers to the delivery of computing services over the Internet. These services include servers, storage, databases, networking, software, analytics, and more. The main idea is to provide scalable and flexible resources on demand, allowing users to access and use these resources without needing to manage physical hardware or software.

Key Components:

Infrastructure as a Service (IaaS): Provides virtualized computing resources over the internet. Examples include virtual machines, storage, and networks.

Platform as a Service (PaaS): Offers a platform allowing developers to build, run, and manage applications without dealing with the underlying infrastructure.

Software as a Service (SaaS): Delivers software applications over the internet on a subscription basis, accessible via web browsers.

Benefits:

Scalability: Easily scale resources up or down based on demand.

Cost Efficiency: Pay for what you use rather than investing in physical hardware.

Accessibility: Access resources from anywhere with an internet connection.

Maintenance: Providers handle maintenance and updates.

Cloud Consulting

Cloud consulting involves advisory services provided by experts to help organizations plan, implement, and optimize their cloud computing strategies. Consultants assist businesses in understanding how cloud technologies can be applied to meet their specific needs and goals.

Key Components:

Strategy Development: Advising on the best cloud strategy based on an organization’s needs, including choosing between public, private, or hybrid clouds.

Migration Planning: Helping businesses move their data, applications, and workloads to the cloud efficiently and securely.

Architecture Design: Designing cloud solutions that are scalable, secure, and aligned with business objectives.

Optimization: Analyzing and improving cloud performance and cost-efficiency.

Compliance and Security: Ensuring that cloud solutions meet regulatory requirements and have appropriate security measures.

Benefits:

Expertise: Access to specialized knowledge and experience that helps in making informed decisions.

Tailored Solutions: Customized advice and solutions that address specific business challenges and goals.

Risk Mitigation: Identifying potential risks and developing strategies to manage them.

Efficiency: Streamlining cloud adoption processes and optimizing existing cloud investments.

Comparison

Scope:

Cloud Computing: Focuses on the actual delivery and use of cloud services and resources.

Cloud Consulting: Focuses on advising and assisting organizations in adopting and optimizing cloud technologies.

Objective:

Cloud Computing: Provides the infrastructure, platforms, and software needed for cloud-based operations.

Cloud Consulting: Helps businesses navigate their cloud journey, from planning and migration to optimization and compliance.

Audience:

Cloud Computing: Typically involves IT departments and end-users who consume cloud services.

Cloud Consulting: Targets business leaders, IT managers, and organizations seeking expert guidance on cloud strategies.

In summary, cloud computing is about using Cloud Computing services to meet your business needs, while Cloud Consulting is about getting expert advice to make the most of those services. Both are crucial, but they address different aspects of cloud technology.

#cloudcomputing #cloudconsulting #cloud services

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intellion · 2 months

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Next - Gen cyber security

Introduction

Welcome and Orientation

Overview of the Next-Gen Cyber Security Skills course in Bangalore

Introduction to instructors and fellow participants

Setting goals and expectations for the course

Module 1: Foundations of Cyber Security

Understanding Cyber Security

Definition and importance of cyber security in today’s world

Current landscape and emerging threats

Cyber Security Terminology

Key terms and concepts crucial for the Bangalore cyber security course

Overview of common attack vectors and defenses

Cyber Security Frameworks and Standards

NIST Cybersecurity Framework

ISO/IEC 27001

CIS Controls and their relevance to Bangalore’s cyber security environment

Module 2: Network Security

Network Security Fundamentals

Basic networking concepts vital for Bangalore cyber security professionals

Understanding firewalls, VPNs, and IDS/IPS

Securing Network Infrastructure

Techniques for network segmentation and isolation

Secure network design and architecture

Wireless Network Security

Wireless security protocols (WPA3, WPA2)

Securing wireless access points in a Bangalore context

Module 3: Application Security

Introduction to Application Security

Common vulnerabilities (OWASP Top Ten)

Secure coding practices essential for Bangalore developers

Web Application Security

Addressing Cross-Site Scripting (XSS) and SQL Injection

Integrating secure development lifecycle (SDLC) practices

Mobile Application Security

Addressing mobile-specific threats and vulnerabilities

Best practices for securing mobile apps in the Bangalore market

Module 4: Endpoint Security

Endpoint Protection

Anti-virus and anti-malware solutions

Endpoint Detection and Response (EDR) tools

Securing Operating Systems

Hardening Windows and Linux systems

Effective patch management and software updates

BYOD and IoT Security

Managing Bring Your Own Device (BYOD) policies in Bangalore

Securing Internet of Things (IoT) devices

Module 5: Identity and Access Management (IAM)

Fundamentals of IAM

Authentication vs. Authorization

Identity lifecycle management and its application in Bangalore businesses

Access Control Mechanisms

Role-Based Access Control (RBAC)

Implementing Multi-Factor Authentication (MFA)

Identity Management Solutions

Single Sign-On (SSO) and Federation

Identity as a Service (IDaaS) platforms and their relevance

Module 6: Cloud Security

Cloud Security Basics

Understanding cloud service models (IaaS, PaaS, SaaS)

Shared responsibility model for cloud security

Securing Cloud Environments

Best practices for AWS, Azure, and Google Cloud in Bangalore

Cloud security posture management

Cloud Compliance and Governance

Regulatory requirements and compliance standards applicable in Bangalore

Data protection and privacy in the cloud

Module 7: Threat Intelligence and Incident Response

Cyber Threat Intelligence

Gathering and analyzing threat data

Using threat intelligence platforms effectively

Incident Response Planning

Developing an incident response plan

Incident detection and analysis

Handling Security Incidents

Containment, eradication, and recovery strategies

Post-incident activities and lessons learned

Module 8: Security Operations and Monitoring

Security Operations Center (SOC)

Roles and responsibilities of SOC teams

Setting up and managing a SOC in Bangalore

Monitoring and Logging

Importance of logging and monitoring

Using SIEM (Security Information and Event Management) tools

Threat Hunting

Proactive threat hunting techniques

Leveraging advanced analytics and AI for threat detection

Module 9: Compliance and Legal Aspects

Understanding Cyber Security Regulations

Key regulations (GDPR, CCPA, HIPAA, etc.)

Compliance requirements for organizations in Bangalore

Legal Considerations in Cyber Security

Data breach laws and notification requirements

Intellectual property and cyber crime laws

Auditing and Assessment

Conducting security audits and assessments

Preparing for compliance audits

Module 10: Capstone Project and Certification

Capstone Project

Real-world scenario-based project

Applying learned skills to solve complex problems

Exam Preparation

Review of key concepts and practice exams

Tips and strategies for passing the certification exam

Certification and Next Steps

Receiving course completion certificate

Exploring advanced certifications and career paths

Conclusion and Course Wrap-Up

Final Q&A Session

Addressing any remaining questions

Sharing additional resources and tools

Networking and Alumni Community

Joining the course alumni network

Continued learning and professional development opportunities in Bangalore

This Next-Gen Cyber Security course in Bangalore will equip you with the knowledge and skills needed to excel in the evolving field of cyber security

#cybersecurity

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techygrowth · 5 months

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Cloud Computing provides integrated application & network to business solutions. It provides numerous design & deliver digital services to customers. Business needs cloud computing because of high performance, Advanced security, Efficitue cost, Scalability & flexibility etc. To choose the right cloud module there are some features, Business requirements, Budget, and Technical Expertise. If you want to get a clear idea about SaaS Vs PaaS Vs IaaS: Choose Right for Your Business, then explore our article.

#best cloud module #cloud module for business #best cloud computing for business

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viral-web · 6 months

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[ad_1] Utilizing several cloud service models has long been a regular practice for businesses. Gradually, more enterprises acquire the power of the platform as a service (PaaS), infrastructure as a service (IaaS), and software as a service (SaaS). That’s why they can save on software and hardware required for app development or business processes. In this blog, we discuss IaaS vs PaaS vs. SaaS models and identify their actual differences. What are their core parameters to compare? They include usage, main characteristics, benefits, and limitations. What Does Mean By Cloud Computing? Cloud computing is defined as a demanded computing service of today’s era. It is offered over the Internet on pay-as-you-go (PAYG) basis. We can say that these PaaS, IaaS, and SaaS cloud service models help store and access data and applications in remote data centers. There is no requirement to keep them on your hardware anymore. Today, several firms replace on-premise technologies with cloud service models. This practice leads to global cloud computing market size development. From different studies, it is found that the market size may reach $625 billion by 2024. And the revenue can reach $917 billion by 2025. Furthermore, the reasons behind the huge demand for adopting cloud services include: Increasing digital transformation; Growing penetration of mobile devices as well as the Internet; Raising big data consumption Common examples of SaaS, PaaS, & IaaS Platform TypeCommon ExamplesIaaSDigitalOcean, Linode, Rackspace, Amazon Web Services (AWS), Cisco Metapod, Microsoft Azure, Google Compute Engine (GCE)PaaSAWS Elastic Beanstalk, Windows Azure, Heroku, Force.com, Google App Engine, Stratos, OpenShiftSaaSGoogle Workspace, Dropbox, Cisco WebEx, Concur, GoToMeeting The Cloud Service Models Demystified Infrastructure as a Service (IaaS) The cornerstone of cloud computing services is infrastructure as a service (IaaS). It offers virtualized computing resources on the internet. The cloud service providers deliver and handle all the necessary infrastructure components like depository, servers, and networking with IaaS. At the same time, you can have power over the applications, operating systems, and data. Here are some of the important characteristics of IaaS: Scalability: IaaS helps you scale several resources up or down as required, ensuring that only you pay for what you utilize. Control: You can configure, install, and handle your software and have complete authority over the operating system. Responsibilities: You can control virtual machines, their apps, and their data storage. Use Cases for IaaS: Hosting web applications and websites Running testing and development environments Disaster improvement solutions Complex data analytics, as well as big data processing Benefits of IaaS cloud model On-demand scalability. One of the most significant advantages of adopting the IaaS model is that it can scale fast as per the developing business needs of your firm. IaaS vendors provide the most potent storage and networking technology to fulfill customer requirements. Great reliability. Your infrastructure will not be affected by losing an internet connection or failure of specific hardware components. As a rule, IaaS vendors disperse the system’s workload across different data servers and centers. That’s why hardware, computing resources, and cloud-based applications will always be available. Operational flexibility. IaaS helps your team access the computing power, hardware, and apps utilized frequently. Because of the usage, they can witness the needed data and files on the go anytime. Disaster recovery (DR) and business continuity (BC).

Maximum DR plans are costly and bulky. Usually, an organization has separate DR and BC plans for each branch. However, IaaS integrates DR and BC in their service plans. A firm can depend on them in case of a disaster, reducing costs and manageability and saving business. Limitations of IaaS Problems with legacy systems. In the cloud, it is achievable to run legacy apps. However, the infrastructure is not designed to secure such kinds of applications. This compels you to boost your applications before you shift them to the cloud. Internal training is a must. With IaaS, you will handle backups, data security, and business continuity. For this, the team needs to learn how to manage new infrastructure. Otherwise, the managing and monitoring process can become more complicated. Lack of flexibility. IaaS vendors maintain and upgrade both cloud-based software as well as hardware. Productivity and efficacy will be compromised if your services are not regularly updated. Data security issues. IaaS allows you to control data, applications, middleware, and OS platforms. But you can’t monitor the communication security between virtual machines and infrastructure. You need to be dependent on the security measures that your IaaS provider gives. Platform as a Service (PaaS) In cloud computing, the next level is abstracting the basic infrastructure to build a complete dedicated platform for the deployment and development of applications. And it is done by platform as a service (PaaS). With this, cloud providers can handle everything, starting from infrastructure to the runtime environment. This makes you free from operational concerns. Here are a few important characteristics of PaaS: Improvement Focus: PaaS is designed for developers to help them concentrate on coding and developing applications instead of handling infrastructure. Productivity Tools: Mostly, PaaS combined database, development tools, and middleware, modifying the process of development. Responsibilities: Your important responsibility is building and managing the apps, while the underlying platform’s concern is taking care of the cloud provider. Use Cases for PaaS: Fast development and deployment application Mobile and web app development Cooperative software development Benefits of PaaS Cost-effectiveness. With PaaS cloud-based models, there is no requirement to build an application from the start. That’s why it is good to have an option if you have fewer resources or want to decrease operating expenses. Quick launch. Pre-established backend infrastructure helps fast development and prototyping. So you are able to release your application rapidly. This early launching boosts your success chances. They have reduced development time. PaaS vendors provide access to several frameworks, libraries, templates, and other tools. All those enable you to simplify and speed up the complete development process. Fast testing and deployment. With PaaS, you can access several configurations and machines to test your application. This gives a good opportunity to test the performance and compatibility of your applications. Limitations of PaaS Runtime problems. A few times, PaaS models are not made for different programming languages and frameworks that you want to apply. Also, you can face the unavailability of a specific framework issue with PaaS. Changes from the vendor. You may face problems because of the changes in the architecture made by the PaaS vendors. Let’s take an example. Imagine you are working with Python language, and it is very much compatible with your cloud solution. Suddenly, the PaaS provider has an update that needs Ruby for further compatibility. Now, you have two options: change the PaaS provider or the programming language. Customization requirement for legacy systems. If you have legacy services or applications, they are not working fine with PaaS products. To fix this problem, you must invest heavily in configuration and customization changes.

Limitations for operational capability. Tailor-made cloud operations have automated workflow management that might not go with PaaS solutions. That’s why functional options may be constricted for your end users. Software as a Service (SaaS) The easier and the most user-friendly cloud service model is Software as a Service (SaaS). It provides ready-to-use software applications reachable through the Internet. Everything is managed by the SaaS provider, starting from applications and infrastructure to security and updates. Here are some of the essential characteristics of SaaS. Easy Use: Applications of SaaS are accessible through different web browsers, needing no maintenance or installation on the user’s part. Automatic Updates: The SaaS provider continuously updates the product’s patch, ensuring users can access the latest features and security fixes. Use Cases for SaaS: Email and communication tool Customer Relationship Management (CRM) software Productivity tools like Google Workspace or Microsoft Office 365 Collaboration and project management software Benefits of the SaaS models Cost reduction. SaaS vendors have the responsibility to handle potential technical problems. They deal with servers, data, and storage networking. Also, they offer services like compliance, maintenance, and security services to users. This way, you can cut down your expenses. Time-saving. There is no need to install or download software products on single devices. Because of this, the technical staff are free from tedious tasks like upgrading or installing the software. Accessibility. You can access SaaS applications easily. Only you require a mobile or computer or any smart electronic appliance like a tablet with an internet connection. Off-the-shelf solutions. SaaS vendors provide unexpected products that are effortless to set up and use. Limitations of the SaaS model Performance issues. In remote data centers, applications dependent on the Internet may show poor performance. You should invest in a fast and reliable internet connection to avoid this. Lack of sufficient data security. This is one of the biggest reasons organizations don’t want to adopt SaaS. That’s why access management become more critical for you. Consider this fact before giving your sensitive information to a third-party service provider. Lack of integration support. A few SaaS products must be added with other applications and tools your company utilizes. So, you will automate your business’s workflow and boost your employees’ productivity. In this regard, SaaS vendors can give you limited support. Thus, you will need to invest internal resources to handle these integrations. Making the Right Choice The selection between Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) is not one-size-fits-all. Every Cloud Service Model serves particular requirements and comes with its own benefits and limitations. You should first analyze your company’s needs to make the proper selection. You can also opt for a combination of these models to fulfill your diverse requirements efficiently. Also, it is vital to stay informed regarding industry trends and changes happening in cloud technology. Remember that cloud service providers are continuously updating their services and offerings, which can affect your decision. Frequently reassess your cloud’s strategy to ensure that it aligns with your evolving business requirements. Conclusion The cloud service model you chose plays a vital role in portraying the success story of your cloud migration journey. By considering different factors like your technical skill set, business objectives, scalability, cost considerations, integration requirements, scalability, security measures, and the vendor network, you can select the perfect cloud service model that empowers your company’s growth in this digital era. Whether

IaaS, PaaS, or SaaS, the cloud service model is a powerful tool that can simplify operations, drive innovation, and ensure your business remains competitive in an evolving environment. Visit www.onpassive.com to get more tech updates. [ad_2] onpassive.com

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glasierinc · 7 months

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How To Choose Between SaaS vs PaaS vs IaaS

Visit Website, Glasier Inc.

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govindhtech · 6 months

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Optimize Public Cloud Security with 10 Tips

Public Cloud Security

The first commercial cloud launched 20 years ago, and Public Cloud security has exploded. They take for granted the many ways public cloud-related services like Instagram, Netflix, Gmail, and others pervade their lives.

Small startups and major organizations use public cloud computing models for flexibility, cost-effectiveness, and scalability. IDC predicts $1.35 trillion in public cloud provider investment by 2027.

The top 10 corporate use cases show how a Public Cloud security underpins contemporary business and drives digital transformation.

What is public cloud?

Public clouds allow customers to pay-per-use computing resources from a third-party vendor via the internet. Public clouds also let enterprises automatically scale computation and storage resources to their requirements.

How does public cloud work?

Cloud service providers (CSPs) execute customer workloads in massive physical data centers in public cloud computing. A self-service API interface created and allotted virtual resources to tenants in multi-tenant Public Cloud security settings. Multi-tenant hosting lets cloud service providers optimize data center and infrastructure usage to provide prices lower than company-owned data centers.

Cloud service providers also maintain hardware and offer high-speed network connection for application and data access. They handle server, operating system, networking, and other infrastructure virtualization to optimize public cloud data center resources. For instance, virtualization may divide a single server into many virtual servers serving various customers.

Public Cloud Service

Every major public cloud provider updates and maintains their infrastructure and uses the strongest data protection and security standards to avoid data breaches.

Cloud security technologies like IAM, DLP, and SIEM are also available.

Finally, a SLA encompasses public cloud service performance, availability, and management and specifies the CSP-client relationship.

Public cloud models

Hundreds of managed services and tools are available from cloud providers in four categories. Most major firms employ all four services to construct a contemporary IT cloud computing infrastructure.

Cloud-hosted application software is available on-demand as SaaS.

PaaS provides hardware, software, and infrastructure for app development, operating, and management.

IaaS provides basic computation, network, and storage services in the cloud.

The cloud provider handles provisioning, scaling, scheduling, and patching in serverless computing.

Public cloud advantages

Companies using public cloud solutions may get these benefits:

Use pay-per-usage or subscription pricing to cut hardware and on-premises infrastructure costs.

Efficiency: Use what you paid for to save resources.

Automate capacity addition for traffic spikes.

Scalability: Scale up or scale out to increasing workloads.

Access cutting-edge technologies like AI, edge computing, and the IoT.

Be more predictable with continuing operations expenditures to reduce IT spending.

Team collaboration: Use public cloud resources from anywhere and have real-time team communication for quicker results.

With automated backup and disaster recovery, reduce downtime and protect data.

Sustainability: Reduce your carbon impact by improving energy efficiency using CSP.

Public vs private vs hybrid cloud vs multicloud

Other cloud deployment methods include private, hybrid, and multicloud, each with its own benefits. Single-tenant cloud infrastructure deployed on-premises at a company’s location is called a private cloud. Dedicated cloud providers or third-party infrastructure may host private clouds. Financial, government, and healthcare enterprises with sensitive data and strict regulatory or security needs should use private clouds.

Hybrid clouds combine on-premises, private, and public cloud computing environments to offer a flexible managed IT architecture.

Businesses now employ multicloud and hybrid cloud environments to connect to numerous Public Cloud security providers. Companies may avoid vendor lock-in and choose the finest cloud services with a multicloud strategy. Large companies choose hybrid multiclouds because they have the greatest control over workload deployment and scaling.

The best public cloud uses

Top 10 ways firms use public cloud computing to save money, innovate, and expand.

Public Cloud Storage

1.Holding

Technology as-a-service and storage capacity in public cloud storage assist enterprises avoid the capital expenditures of constructing and maintaining in-house storage. In the event of a natural catastrophe, outage, or other emergency, cloud storage provides redundancy by keeping firm data on many devices.

2.Dynamic resource allocation

A Public Cloud security lets enterprises grow resources as needed. With a public cloud, a seasonal e-commerce business may swiftly increase its online offerings. They may scale down during normal sales and just pay for capacity during peak times.

3.Building and testing

Instead of the costly and time-consuming waterfall process, a public cloud environment is excellent for building and testing new apps. In minutes, developers may establish public cloud-based VM testing environments. Developers may quickly remove testing environments.

4.Apps and DevOps on the cloud

The public cloud provides cloud-native apps using microservices, which are essential to DevOps. Developers create containerized apps once and deploy them anywhere using DevOp tools to streamline cloud-native development and quick software delivery.

5.Low-coding

Low-code software has a graphical user interface with drag-and-drop functionality to automate development. Low-code platforms empower ordinary “citizen” developers to build apps. Low code speeds up the creation of websites, mobile applications, plugin integration, and cloud-based next-gen technologies like AI and ML.

6.Analytics

Mobile phones, the IoT, and other smart gadgets generate more data than ever, forcing firms to analyze it faster. The employment of sophisticated analytic tools on huge, diversified big data collections is vital to commercial success. Enterprises can make quicker data-driven decisions and improve customer experiences in real time and at scale using public cloud computing and networking infrastructure.

7.Hybrid multicloud strategy

Public cloud is key to hybrid multicloud. Organizations may choose where to execute workloads and pick the finest CSP services by combining public cloud services with private cloud or on-premises infrastructure. Financial institutions may prefer to test and develop new apps on the public cloud while putting fraud-sensitive and regulated workloads on a private cloud hosted by a specialized CSP.

8.Generative AI

For real-time, scalable data processing, generative AI requires the cloud for computation, storage, and networking. Companies may use public cloud providers to obtain data and processing capacity from several distant data centers for generative AI workloads.

9.Edge Computing

Enterprise applications may get quicker insights, reaction times, and bandwidth by moving data sources like mobile phones, sensors, IoT devices, and local edge servers closer to them. For example, edge devices monitor power grid activities to prevent energy waste. Connections to centralized public clouds or edge data centers synergize edge services with public clouds. Only relevant data is usually handled at the edge. Processing less vital data in a major public cloud data center frees up computer resources for low latency.

10.Quantum Computing

Solving complicated issues using computer hardware, algorithms, and quantum physics is quantum computing. Quantum computing for business is still in its infancy, but companies in processing-intensive fields like chemistry, biology, healthcare, and finance are starting to use it. Public cloud service companies now rent quantum machines, allow developers to construct utility-scale quantum algorithms and applications, and more.

IBM public clouds

Enterprise-grade platforms that provide high-performance, secure, and compliant cloud environments are needed to fully use public clouds. The full-stack IBM Cloud platform supports mission-critical workloads with over 170+ Public Cloud security solutions to reduce third- and fourth-party risk, enhance time to value, and minimize TCO.

Read more on govindhtech.com

#publiccloudsecurity #cloudcomputing #serverlesscomputing #ibmcloud #hybridclo #ai #news #technews #govindhtech #technology

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enactivewebs · 6 months

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13.3

Laurent Antonczak Guest lecture

UCC expectations

Difference between client and customer

Talk the same language as management - how to do this?

Digital economy

What technologies do you think will be the next big game changer? What radical changes are on the horizon?

SaaS -

PaaS -

IaaS - infrastructure as service

You manage vs vendor manages

Working out definitions -

Is innovation always related to markets and business?

Exploitation?

Diffusion ? Can you explain this a bit further?

How are you guys innovating your stories?

Who: what - how - why

What is your value proposition? What are you giving to your user/audience? What do you want to solve, address,

Who are you talking to?

When do you think user/customers journey starts? Can you elaborate on different types of touch points? Delivery options?

Importance of understanding systems?

How do you weave the same stories through different aspects of the user journey? From awareness to becoming a customer/user?

- Rescripting using chat gpt for different platforms

Point of view statement

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madmantechnologies · 7 months

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Traditional Data Centers vs. Cloud: Navigating the Digital Infrastructure Landscape

Introduction -

Businesses must continually make important decisions on their IT infrastructure in the quickly changing world of technology. Making the decision to switch to cloud computing solutions or remain in traditional data centres is one of the biggest decisions they face. Making an informed decision requires a grasp of the subtle differences between the two possibilities, each of which has advantages and disadvantages.

Traditional Data Centers: The Tried and Tested Workhorses

Enterprise IT infrastructures have traditionally been supported by traditional data centres. These on-premises facilities are located within an organization's walls and contain physical servers, storage arrays, networking hardware, and cooling systems.

Pros:

Control and Security: With data stored on-site, organizations have full control over security measures and compliance protocols, ensuring data sovereignty and confidentiality.

Predictable Performance: By managing their own hardware and software stack, organizations can fine-tune performance according to their specific requirements, ensuring consistent and predictable levels of performance.

Compliance: Traditional data centres enable organizations to adhere to industry-specific compliance regulations by keeping sensitive data within their premises, ensuring compliance with data protection laws.

Cons:

Capital Expenditure: A traditional data centre's construction and upkeep involve a large initial infrastructure investment, which covers hardware acquisition, setup fees, and continuing maintenance expenditures.

Scalability Challenges: It can be difficult and time-consuming to scale traditional data centres to handle increasing workloads or unexpected demand spikes; new hardware purchases and infrastructure modifications are frequently needed.

Maintenance overhead: The daily administration, upkeep, and troubleshooting of an organization's data centre infrastructure is their responsibility. This can be a resource-intensive task that takes time away from important company operations.

Cloud Computing: The Game-Changer in IT Infrastructure

Cloud computing, which provides on-demand scalability, flexibility, and cost-efficiency, has completely changed how businesses use and manage IT resources. Numerous services, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), are accessible through cloud solutions. These are the main advantages and difficulties:

Pros:

Scalability and Flexibility: Cloud computing allows organizations to scale resources up or down dynamically in response to changing demand, enabling optimal performance and cost-efficiency.

Cost Savings: Cloud solutions operate on a pay-as-you-go model, eliminating the need for upfront capital expenditure and enabling organizations to pay only for the resources they consume, resulting in cost savings and improved financial predictability.

Agility and Innovation: Cloud computing accelerates innovation by providing access to a vast array of services, tools, and technologies that enable rapid development, deployment, and iteration of applications.

Cons:

Security and Compliance Concerns: Entrusting sensitive data to third-party cloud providers raises concerns about data security, privacy, and compliance with industry regulations, necessitating robust security measures and compliance certifications.

Vendor Lock-In: Depending heavily on a single cloud provider may lead to vendor lock-in, limiting organizations' flexibility and portability between different cloud platforms.

Performance and Latency: Cloud solutions rely on internet connectivity, which may introduce latency and performance issues, particularly for applications with stringent latency requirements or data sovereignty concerns.

Making the Right Choice for Your Business

In the end, several variables, such as the organization's budget, performance requirements, scalability demands, and compliance obligations, will determine whether traditional data centres or cloud computing is preferable. Many businesses use a hybrid strategy, combining cloud and on-premises resources to strike the best possible balance between cost, scalability, and control. You may make well-informed judgments that promote innovation, efficiency, and growth in the digital age by comprehending the advantages and disadvantages of each strategy and matching them with your company's aims and objectives.

In conclusion, a variety of criteria, such as the organization's budget, performance requirements, scalability needs, and compliance duties, influence the decision between traditional data centres and cloud alternatives. Scalability, flexibility, and cost-effectiveness are offered by cloud solutions, while control and security are provided by traditional data centres. Many businesses use a hybrid strategy, combining cloud and on-premises resources to strike the best possible balance between cost, scalability, and control. In the end, choosing the best IT infrastructure plan to support corporate growth and innovation in the digital age depends on knowing the particular requirements of the company.

Additionally, numerous people can view the data simultaneously thanks to this technology. This expedites and simplifies work. You may handle your data in real-time from any remote part of the world with the help of Madman Technologies, they are the best Cloud Computing and DC migration services in India.

You can google our website and contact us over the phone — [email protected]

Contact details — 9625468776

#cloud services #cloud computing #it services #information technology #it sector #it company #traditional data centers #it products #itservices #technology #it technology #it solutions #artificial intelligence #video conferencing #wifi #data center #information consultancy #cloudcomputing

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kaartechofficial · 7 months

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Oracle Database vs SAP HANA: Which Database Solution Fits Your Business Needs?

Choosing the right database is pivotal for your business, and we're here to streamline that decision. Let's dive into a quick overview of Oracle DB and SAP HANA.

Oracle Database (Oracle DB):

Proven Track Record: Trusted for over 30 years.

Versatility: Scalable and secure, catering to diverse industries.

Performance Focus: Excelling in transactional processing.

SAP HANA:

In-Memory Advantage: Introduced in 2010, specializes in real-time analytics.

SAP Ecosystem: Ideal for those leveraging SAP's business applications.

Swift Processing: Engineered for quick analysis of substantial data volumes.

Quick Comparison:

Scaling Approach: Oracle - Horizontal scaling. SAP HANA - Vertical scaling.

Integration: Oracle's extensive ecosystem vs. SAP HANA's SAP application focus.

Data Management: Oracle's robust security vs. SAP HANA's in-memory architecture.

Cloud Journey:

Both offer robust cloud capabilities. Oracle provides IaaS and PaaS options, while SAP HANA is available on SAP Cloud Platform.

Budget Check:

Oracle DB: Known for potentially complex licensing.

SAP HANA: Pricing flexibility based on your implementation choice.

For a deeper dive or personalized recommendations tailored to your business, explore the detailed comparison. Click here to delve into the blog for an informed decision.

#oracle db #sap hana #sap #kaartech

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crestinfosystems · 7 months

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Google Cloud vs AWS vs Azure

Amazon Web Services (AWS) is battling Microsoft Azure for leadership in public cloud computing, while Google Cloud Platform (GCP) is close behind. Cloud infrastructure as a service (IaaS) and platform as a service (PaaS) companies are leading in this market segment.

There is a particular dominance of AWS. Amazon Web Services (AWS) has maintained its 33% share of the global cloud market, Microsoft Azure at 19%, and Google Cloud Platform at 7%, according to Statista.

Google Cloud, with its capabilities in artificial intelligence, is especially well-positioned for growth in the AI market - and offers discounts as well. Microsoft is powerful in SaaS, and Google Cloud, with its strengths in artificial intelligence, excels in providing discount services.

Well, in this article, we will make a detailed comparison between Google Cloud vs. AWS vs. Azure and help you understand which one is the right solution for your business.

Amazon Web Services

Its comprehensive set of tools is unrivaled, but its price structure can be confusing. AWS is more focused on the public cloud than the hybrid cloud or private cloud, meaning that interoperability with your data center isn't a top priority for AWS.

Features of AWS

Amazon offers tons of numerous features and functionalities with the best-in-class services, such as:

Analytics and machine learning

Developer and management tools

Productivity tools

Cloud app integration

Storage solutions

Computing

Pros and Cons of AWS

Let’s have a look at the top advantages and disadvantages of AWS.

Pros of AWS

As the first modern cloud service provider, Amazon Web Services enjoys many advantages that stem from its massive global operations and its status as the first modern cloud service provider.

AWS's growth has been enabled by these factors, which allow it to offer a large range of interruption-free services worldwide. It has the following strengths:

Supports almost all types of operating systems such as macOS

A full array of services

The constant growth of service selection

Great availability and maturity

The ability to handle a large number of end-users and resources

Simple startup

Like any other cloud platform, AWS has some drawbacks too.

Cons of AWS

It costs more compared to other ones

It requires extra charges for essential services

Additional charges for customer technical support

Sharp learning curve after startup

Resource caps

Microsoft Azure

If you're an enterprise customer, Azure is a close competitor to Amazon Web Services, it has an exceptional cloud infrastructure - few companies have the enterprise background (and Windows support) that Microsoft does.

The hybrid cloud is a true strength of Azure; the platform can interoperate seamlessly with data centers.

Features of Azure

Through the existing infrastructure Microsoft created for its software and business app offerings, Azure has repurposed and offered many easily configurable, deeply integrated services, such as:

Comprehensive IoT integration

Cloud development platform

Blockchain technologies

Predictive analytics

DevOps features

Pros of Azure

Azure, which has a rich development history in the IaaS area, has several strengths that correspond to its traditional role as a provider. Some core benefits and strengths include:

Fairly low on-demand pricing

Simple to set up and configure with the Microsoft family of software

Discounts of service contract for Microsoft cloud computing users

It has various built-in apps that offer support for various languages like PHP, Java, Python, .NET, etc.

High redundancies to reduce downtime

Wide availability

Cloud computing, however, does not come without its flaws, and you need to determine if the downsides of Azure will outweigh the potential benefits.

Some drawbacks of Azure are:

Complex to learn and understand compared to other platforms

Doesn’t come up with a more professional design than other ones

Difficulties in reporting regarding network management

Reporting issues through technical support

Low data management

Google Cloud

While Google has been well funded, it entered the cloud market later and does not have as much of the enterprise focus that is necessary to appeal to corporate customers.

It is an industry-leading company with market-leading capabilities in artificial intelligence, machine learning, deep learning, and data analytics.

Features of Google Cloud Platform

The Google Cloud Product team is quickly catching up to its competitors, backed by Google's extensive global reach and seemingly endless capacity for innovative thinking.

It offers the following services, including:

Machine learning and artificial intelligence engines, such as vision API, cloud speech API, etc.

Data storage and management

Productivity management

Cloud app development

Business Analytics

Pros of GCP

In addition to its high-performance computing, machine learning, and developer tools, Google Cloud Platform's strengths are its developer-orientation and developer-focused cloud platform. It includes the following benefits:

It uses the most popular languages like Java and Python

Generous sustained-use discounts

Easy to set up and configure

Faster response times

Data load balancing

Greater scalability

Though Google Cloud product has numerous features and advantages, there are some drawbacks too, to look into them.

Drawbacks of GCP

Limited advanced features

Lack of diversity of features

Low global data centers

Low service offerings

Google Cloud vs AWS vs Azure: Global Market Share

AWS and Google Cloud combined had been observed to outperform Microsoft Azure cloud revenue in the quarter ended 2021. Microsoft's Azure cloud outperformed its competitors in commercial-cloud revenues in the fiscal quarter with US$17.7 billion, a 50% increase over the previous quarter, despite AWS' Goliath-like stature.

According to Amazon's AWS company, the cloud business reported revenue of US$13.5 billion in the last quarter of 2012 (an increase of 32%), while Google Cloud reported revenue of US$4.05 billion.

As reported by Canalys, the global cloud market size for April 2021 is $41.8 billion, growing 35% over the previous quarter. Amazon Web Services (AWS) includes more than 32% of the market, while Microsoft Azure covers 19% and Google just has 7%.

Google Cloud vs AWS vs Azure: Price Comparison

It is cheaper to operate cloud-based instances on Google Cloud compared to Amazon Web Services and Microsoft Azure. Furthermore, the instance types of accelerated computing tend to be more expensive than others.

For small businesses

With Amazon Web Services, a monthly cost of around US$69 is the norm for a very basic instance with 2 virtual CPUs and 8 GB of RAM. In Azure, you will pay about US$70/month for the same types of instances (2 vCPUs and 8 GB of RAM).

At 25 percent less than Amazon Web Services, Google Cloud Platform will provide you with the most basic instance, which contains two virtual CPUs and eight gigabytes of RAM. Your monthly cost will be about $50.

For large businesses,

It will cost you about US$3.97/hour to run the most expensive instance provided by AWS, which includes 3.84 TB of RAM and 128 vCPUs. Azure offers instances with up to 3.89 TB of RAM and 128 virtual CPUs. The cost is approximately $7.69 per hour.

The largest instance on the Google Cloud Platform has 3.75 TB of RAM and 160 virtual CPUs. Prices are approximately $5.32 per hour.

AWS vs Azure vs Google Cloud: Hybrid and Multi-Cloud Options

While none of the three vendors offer hybrid or multi-cloud offerings significantly, they each provide different tools that provide flexibility to customers.

AWS Hybrid and Multi-Cloud

VMware Cloud on AWS

Amazon EKS Anywhere

Amazon ECS Anywhere

AWS Local Zones

AWS Wavelength

AWS Snowcone

AWS Outposts

AWS Snowball

Azure Hybrid and Multi-Cloud

Azure Active Directory

Azure Security Center

Azure Blob Storage

Azure Centinel

Azure Backup

Azure Stack

Azure Arc

Google Cloud Hybrid and Multi-Cloud

Cloud Run for Anthos

Traffic Director

Cloud Build

Operations

Anthos

Looker

Google Cloud vs AWS vs Azure: Availability Zones

The fact that Amazon Web Services (AWS) was the first in the cloud domain means they have had time to set up and grow their network. They host their data in different locations across the world.

Azure and Google Cloud Platform (GCP) also host their data in different locations but their availability zones differ. AWS, Azure, and GCP all host in multiple locations worldwide.

AWS has zone availability with over 12 more on the way.

Azure has nearly 54 regions across the globe and is available in 140 countries worldwide.

Google Cloud Platform has nearly 20 regions worldwide with 3 more on their way.

Google Cloud vs AWS vs Azure: Services

Now you know what all three of these cloud giants have to offer in terms of services. With five years of a head start, Amazon Web Services has the most functionally varied and developed cloud computing services.

Check out these AWS and Azure Tutorials! AWS offers over 200 different services, whereas Azure offers more than 100 different services. Google Cloud offers around 60 different services, while Azure and AWS offer a combined of 200 services.

Let’s have a detailed comparison between Google Cloud vs AWS vs Azure.

Google Cloud Vs. AWS Vs. Azure: Which One is Right For Your Business?

Your best choice of public cloud vendor will depend on your needs and workload. In fact, you might find that some of your projects call for an entirely different cloud provider.

Several experts expect that enterprises will heavily invest in multi-cloud computing soon. The move may help mitigate vendor lock-in and help match workloads with the best available service.

Considering AWS Cloud Solution

If you're looking for a more personal relationship, then small boutique shops might be a better option. AWS has a rich collection of tools and services, along with its massive scale and low prices.

Despite Amazon's enormous size, there are managed service providers that can provide such excellent customer service.

Considering Azure Cloud Solution

Microsoft, meanwhile, has its Microsoft shops as its greatest draw. Azure works well with all your existing .Net code, and it is easier to connect your server environment with Azure and migrate on-premises apps more quickly and efficiently.

In addition to this, Azure mainly focuses on the hybrid cloud that replaces the legacy data center environment with the fastest-growing and most scalable Microsoft cloud.

Considering Google Cloud Solution

Talking about Google Cloud, it is rapidly growing but it still seems like a work in progress. Naturally, Google does not have any experience dealing with businesses. Although the company has been investing billions in its cloud effort, it remains committed.

Cisco, which does know how to work with large companies, is also a partner in its cloud efforts. Google's cloud is built on its core strengths, which are scale and machine learning. Most people should check it out if they didn't like what they saw a year ago. It's for sure they will be surprised.

Final Thoughts

Therefore, the choice between cloud vendors will vary based on the type of business and its application requirements. This is why certain types of businesses may be more attracted to a certain vendor. For example, if you run a company that uses Microsoft products, you may want to investigate Azure.

If you are a startup, web-based company looking to scale and grow faster, considering Google Cloud Platform would be the best option. The AWS system will probably be the best option for you if you are a large enterprise and looking for a wide selection of services and worldwide reach. Additionally, if you are building a customized application with cloud capabilities, migrating to cloud services, or experiencing costs and scalability issues with your existing infrastructure, approaching a leading cloud service provider can help.

#Google Cloud #aws #azure

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