#DevOpsTools

[centizen]

Revolutionizing Software Development: Understanding the Phases, Lifecycle, and Tools of DevOps

DevOps refers to the combinations of Development and Operational Skills. Basically, to overcome the long, time-consuming process of traditional waterfall models, DevOps are preferred. Nowadays many companies are interested to employ engineers who are skilled at DevOps.It integrates development and operations i.e. it takes a combination of software developers and IT sector.

Phases of DevOps

DevOps engineering consists of three phases:

Automated testing

Integration

Delivery

DevOps lifecycle

DevOps mainly focuses on planning, coding, building and testing as the development part. Added is the operational part that includes releasing, deployment, operation, and monitoring. The development and operational part make up the life cycle.

DevOps team & work style

In business enterprises, DevOps engineers create and deliver software. The main aim of this team, in an enterprise environment, is to develop a quality product without the traditional time consumed.

DevOps employs an automated architecture which comes with a set of rules, a person who has worked as a front-runner for the organization, will lead the team based on the company’s beliefs and values.

A Senior DevOps engineer is expected the following skills

Software testing: The responsibility increases along with coding new requirements to test, deploy and monitor the entire process as well.

Experience assurance: The person follows the customer’s idea to develop the end product.

Security engineer: During the development phase the security engineering tools to be used in the security requirements.

On-time deployment: The engineer should ensure that the product is compatible and running at the client’s end.

Performance engineer: Ensures that the product functions properly.

Release engineer: The role of the release engineer is to address the management and coordination of the product from development through production. Release ensures the coordination, integration, flow of development, testing, and deployment to support continuous delivery and maintenance of the end-end applications.

System admin: Traditionally system admin focuses only on the server running. But DevOps handles the open source pros, passionate towards technology, and hands-on with development platforms and tools. They maintain the networks, servers database and even support.

Usage of the DevOps tools

The Git tool is a version control system tool used to develop the source code by developers and send it to the Git repository and we have to edit the code in the repository.

Jenkins is a powerful application tool that allows the code from the repository using the git plugin and builds it using tools like Ant or Maven.

Selenium is an open-source automation tool. The Selenium tool performs regression and functional testing. Selenium is used for testing the code from Jenkins.

Puppet is a configuration management and deploys testing environment.

Once the code is tested, Jenkins sends it for deployment on the production server.

Then the completion of Jenkins it goes to be monitored by tools Nagios.

After the monitoring process, Docker containers provide a testing environment to test the built features.

Basic technical knowledge for DevOps recruiters:

The DevOps recruiters should follow basic methodologies such as agile, continuous delivery, continuous integration, microservices, test-driven development, and infrastructure as a code.

They must know the basic scripting languages such as Bash, Python, Ruby, Perl, and Php.

The recruiters must know the infrastructure automation codes such as Puppet, chef, Ansible, Salt, Terraform, Cloud formation, and Source code management such as Git, Mercurial, and Subversion.

The developers should study cloud services such as AWS, Azure, Google Cloud, and open stack.

Another skill is orchestration. In programming, to manage the interconnections and interactions among the private and public clouds.

Next one is containers, a method of OS virtualization that allows you to run an application and its dependents in a resource-isolated process, it includes LXD, Docker.

The recruiters should be able to manage multiple projects, simultaneously.

They must know the usage of tools for continuous integration and delivery. Such as Cruise control, Jenkins, Bamboo, Travis CI, GOCD, Team Foundation server, Team City, Circle CI

Testing tools such as Test Complete, Testing Whiz, Serverspec, Testinfra, In Spec, Customer Driven Contracts. Recruiters must know the monitoring tools such as Prometheus, Nagios, Icinga, Zabbix, Splunk, ELK Stack, collected, CloudWatch, Open Zipkin.

In conclusion, DevOps combines development and operational skills to streamline the software development process, with a focus on planning, coding, building, testing, releasing, deploying, operating, and monitoring. The DevOps team is responsible for creating and delivering quality products in an enterprise environment using automated architecture and a set of tools such as Git, Jenkins, Selenium, Puppet, Nagios, and Docker. DevOps recruiters should have basic technical knowledge of agile, continuous delivery, scripting languages, infrastructure automation, cloud services, orchestration, containers, and project management, as well as proficiency in various tools for continuous integration and delivery, testing, and monitoring.

[thnagarajthangaraj]

What Are the Stages of the Software Development Lifecycle?

The Software Development Lifecycle (SDLC) is a structured approach to software development that ensures high-quality software is delivered efficiently and effectively. It encompasses various stages, each with its own set of activities and deliverables. Here's a breakdown of the typical stages of the SDLC:

1. Planning and Requirements Gathering

Objective: Identify the scope, objectives, and requirements of the software project.

Key Activities:

Requirement Analysis: Gathering requirements from stakeholders, end-users, and clients to understand what the software should do.

Feasibility Study: Assessing the project’s technical, operational, and financial feasibility.

Resource Allocation: Determining the resources, budget, and timeline required for the project.

Deliverables:

Requirement documentation (Business Requirements Document - BRD)

Project plan and timeline

Feasibility report

2. System Design

Objective: Plan the software architecture and design the system based on the requirements.

Key Activities:

High-Level Design: Creating an architecture that defines the system’s structure, components, and interactions.

Detailed Design: Specifying the details of individual components, data models, and database schema.

UI/UX Design: Designing the user interface and user experience to ensure usability.

Deliverables:

System architecture diagrams

Data flow diagrams (DFD)

Wireframes or UI mockups

Database schema design

3. Implementation (Coding)

Objective: Develop the software based on the design specifications.

Key Activities:

Writing Code: Developers write the actual code using programming languages and development frameworks.

Unit Testing: Individual components are tested to ensure they work correctly in isolation.

Version Control: Managing code changes using tools like Git.

Deliverables:

Source code files

Unit test results

4. Testing

Objective: Identify and fix bugs or issues in the software to ensure it meets quality standards.

Key Activities:

Test Planning: Developing a test plan based on the requirements and design documents.

Test Execution: Running various tests, such as unit tests, integration tests, system tests, and user acceptance tests (UAT).

Bug Fixing: Identifying defects and addressing them before the product goes live.

Deliverables:

Test plans and test cases

Test reports

Bug/issue logs

5. Deployment

Objective: Release the software for use by the end users.

Key Activities:

Staging Deployment: Deploying the software in a test environment that mimics the production environment.

Production Deployment: Moving the software to the live environment.

Post-Deployment Monitoring: Monitoring the software for performance issues and bugs.

Deliverables:

Deployment scripts

Production environment setup

Monitoring and performance reports

6. Maintenance and Updates

Objective: Provide ongoing support and updates to the software after deployment.

Key Activities:

Bug Fixing: Addressing any issues reported by users or identified through monitoring.

Feature Enhancements: Adding new features or improving existing functionality based on user feedback.

System Upgrades: Updating the software to remain compatible with new technologies, platforms, or regulatory changes.

Deliverables:

Bug fix reports

Feature updates

Software patches or versions

Conclusion: The SDLC Journey

The Software Development Lifecycle provides a clear framework for delivering high-quality software that meets user needs and expectations. Each stage plays a critical role in ensuring the final product is functional, secure, and reliable. By following the SDLC stages, development teams can reduce risks, improve collaboration, and create software that stands the test of time.

[trendingitcourses]

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[pmpcertifications]

Discover the path to achieving Azure DevOps certification (AZ-400). Our comprehensive guide walks you through the world of DevOps on Microsoft Azure. Explore hands-on tutorials, expert advice, and practical strategies for passing the AZ-400 exam. Begin your journey towards becoming a certified Azure DevOps professional today!

[rtc-tek]

Manual DevOps processes can slow down the development process. Our DevOps automation services can help! We streamline development processes by the utilization of cutting-edge tools and techniques. By employing automation for tasks such as infrastructure provisioning, configuration management, and application deployment, we're able to eliminate the need for manual intervention in repetitive tasks. This not only saves time but also enhances efficiency across the board.

With these repetitive tasks automated, our development team can redirect their focus towards more critical matters, such as building new features, conducting rigorous testing, and fostering innovation. By freeing up their time from mundane tasks, we empower our team to unleash their creativity and drive meaningful progress within our projects.

Visit our website to know more about our services at https://rtctek.com/cloud-and-devops-services/. Connect with our DevOps experts at https://rtctek.com/contact-us/

[techtweek]

In today's dynamic digital landscape, leveraging cloud infrastructure is paramount for businesses aiming to maximize performance, bolster security, and ensure seamless scalability. At TechTweek Infotech, our cloud computing services offer a comprehensive solution tailored to meet diverse organizational needs. With our expertise, businesses can harness the full potential of cloud technology to achieve optimal performance, enabling faster deployment of applications and services. Moreover, our robust security measures safeguard sensitive data and applications against cyber threats, ensuring peace of mind for our clients. Scalability is inherent in our cloud infrastructure solutions, allowing businesses to effortlessly adapt to evolving demands without compromising efficiency or stability. Whether it's enhancing agility, reducing costs, or improving accessibility, TechTweek Infotech's cloud infrastructure services provide the foundation for sustainable growth and success in today's competitive market.

[justrandomthought1111]

Kubernetes Architecture in 5 Minutes || How Kubernetes Works || Understanding How Kubernetes Works

[shris890]

Hey there, cloud-native enthusiasts! Today, we’re diving into one of my favourite topics: Kubernetes Operators. These aren’t just tools; they’re game-changers in cloud-native application management. Let’s unravel the mystery of Operators and explore why they’re essential for anyone venturing into Kubernetes.

[orangemantrausa]

Explore the art of seamless collaboration and witness the sparks of creativity in development. Ready to ride the wave of DevOps magic? 🌊✨

[centizen]

The Top DevOps Tools in 2019

DevOps is no stranger in today’s technical world. However, it lets you to create, run and deploy at a comparatively faster rate. The reason for this acceleration is automation. On-time delivery and customer satisfaction have been the focus of the market in the past decade. DevOps has been the key to meet up with this expectation. Enterprises are preferring automation and constantly setting the bar high. The DevOps tools out there to meet out these standards.

In this article, I will talk about 5 applications. Git, Jenkins, Kubernetes, Puppet and Docker. I have also talked about some of these in a detailed format. So, let’s get started.

Git

Git is an open-source, distributed version control system. In other words, popular Source Code Management. The purpose of Git is to manage a project, particularly the changes made in the source code over time. It also redefines data integrity and support for distributed, non-linear workflow. The Git stores different versions of a file in a remote or a local repository. In addition, you can load the data in the previous formats. G it stores these changes in the repository. Git users are fans of its distributive nature. Rapid pull and release cycle make it a favourite of developers. To integrate Git and DevOps, you need to host repositories where your team members can push their work.

Jenkins

Jenkins, a CI/CD tool that focuses on continuous deployment with more than a few hundred plugins, that enhances its functionality. The ability to customize your pipeline makes Jenkins rank on top. In addition, Jenkins is compatible with every OS Jenkin’s ability to automize the non-human parts has made it popular in the DevOps circles. Comparatively, it requires little maintenance and adapts to automation scale. Every new change made is reflected in the repository. The testing runs the changes on a test server.

Docker

The Docker platform facilitates easy build, deploy and manage applications. Docker uses OS-level virtualization to deliver software packages called containers. Containers hold their own software, libraries and configuration files. Containers communicate through channels. Containers allow a developer to pack it with things they require such as libraries, dependencies ship it all out as a single package etc., With Docker there is no need to worry about dependencies. Docker supports all type of coding languages, ease to use, and takes zero time to download.

Puppet

Puppet one of the popular DevOps tools used for managing technology through centralization and automatic configuration management process. Unlike other DevOps tools puppet does more than automate, it alters the work flow and helps developers and administrators to work together. Coders can code without having to wait out for resources form the Ops teams. Puppet can manage any system from scratch, and manage till the end of its cycle. Puppet has almost 5000 integrated modules with integrated tools to suit your needs.

Kubernetes

Kubernetes, an open-source container orchestration engine by Google with goals to make complex deployment and management, a simple task. Other than reducing operational burden, some people may find it a bit difficult but it is essential and necessary to handle complexity. This operates with containers as well, a small virtual machine with ready to run applications over virtual machine OS..

Conclusion

Now that you have an idea of what the top DevOps tools do, we hope you find the pair that works best for your requirements.

[thnagarajthangaraj]

How Can Businesses Optimize Cloud Infrastructure Costs?

Cloud computing offers businesses unparalleled flexibility, scalability, and cost savings. However, without careful management, cloud costs can quickly spiral out of control. As businesses increasingly rely on cloud infrastructure, optimizing cloud costs has become a critical concern for IT leaders. Efficient cloud cost management ensures businesses only pay for the resources they use, avoiding overspending and improving profitability.

In this blog, we'll explore effective strategies for optimizing cloud infrastructure costs while maintaining high performance and security.

1. Why Optimizing Cloud Costs is Important

Cloud providers like AWS, Microsoft Azure, and Google Cloud offer flexible pricing models, but this can sometimes lead to unexpected costs. Without optimization, businesses may face:

Over-Provisioned Resources: Paying for unused or underutilized resources.

Unpredictable Bills: Cloud costs that fluctuate based on usage patterns.

Cost Inefficiencies: Wasting money on services or features that aren’t required for your workload.

By optimizing cloud infrastructure costs, businesses can ensure their cloud investment delivers maximum value.

2. Strategies for Optimizing Cloud Infrastructure Costs

A. Right-Sizing Resources

Monitor Resource Utilization: Regularly review cloud resources (e.g., VMs, storage) to ensure they align with your actual usage.

Adjust to Demand: Scale down resources during off-peak times or periods of low demand.

Instance Types: Choose the right instance sizes based on your workloads. Don’t over-provision resources for low-demand tasks.

Example: If you use large VM instances for testing environments, scale down to smaller instances when not in use.

B. Utilize Reserved and Spot Instances

Reserved Instances: Purchase reserved instances for predictable workloads to save on long-term costs (up to 75% compared to on-demand prices).

Spot Instances: Take advantage of unused capacity through spot instances, which are often cheaper but come with the risk of termination.

Example: A company with a stable workload can benefit from reserved instances, while a startup with fluctuating needs may use spot instances for non-critical tasks.

C. Leverage Auto-Scaling

Auto-Scaling: Automatically adjust the number of resources (e.g., servers, containers) based on demand.

Elastic Load Balancing: Distribute traffic evenly across instances to prevent resource underutilization and overutilization.

Example: An e-commerce site can use auto-scaling during seasonal sales to handle increased traffic and scale down afterward to avoid unnecessary costs.

D. Use Cost Management and Monitoring Tools

Cloud Cost Management Tools: Platforms like AWS Cost Explorer, Azure Cost Management, and Google Cloud’s Cost Management tools allow you to track usage and costs.

Alerts and Budgets: Set up cost alerts and budgets to get notified when your cloud expenses exceed a predefined threshold.

Tagging Resources: Tag resources by project, department, or team to allocate and track costs effectively.

Example: Use AWS Budgets to receive alerts if your usage exceeds a set budget for a specific application.

E. Optimize Storage Costs

Choose the Right Storage Class: Cloud providers offer different storage classes (e.g., standard, infrequent access, cold storage) based on the frequency of access.

Data Archiving: Move older, rarely accessed data to cheaper storage options like AWS Glacier or Google Cloud’s Nearline storage.

Delete Unused Data: Regularly review and remove unused or redundant data.

Example: A company storing large amounts of backup data can use cold storage or archival storage to reduce costs.

F. Use Multi-Cloud or Hybrid Cloud Solutions

Multi-Cloud Strategy: Distribute workloads across multiple cloud providers to leverage the best pricing and avoid vendor lock-in.

Hybrid Cloud: Use private clouds for sensitive workloads and public clouds for less-critical workloads to optimize costs.

Example: A financial firm could use a private cloud for secure, sensitive data and a public cloud for customer-facing applications to reduce overall expenses.

G. Take Advantage of Cloud-native Services

Managed Services: Use cloud-native managed services (e.g., AWS Lambda, Google Cloud Functions) to avoid over-provisioning and minimize overhead.

Serverless Computing: Serverless platforms allow businesses to pay only for the exact amount of compute power consumed, rather than paying for idle time.

Example: A media company could use serverless video encoding services, where they only pay for the actual encoding time rather than maintaining dedicated servers.

H. Implement Cost Optimization Best Practices

Continuous Cost Auditing: Regularly audit cloud infrastructure and usage to identify waste or areas for improvement.

Optimize Networking Costs: Minimize data transfer fees by keeping data within the same cloud region or using efficient content delivery networks (CDNs).

Cost Allocation and Reporting: Ensure your cloud costs are allocated accurately to different teams, departments, or projects for better visibility and accountability.

Example: An organization could use AWS Trusted Advisor to identify areas where cost savings can be realized through optimization recommendations.

3. Common Cloud Cost Pitfalls to Avoid

A. Over-Provisioning Resources

Allocating more resources than necessary for workloads can lead to unnecessary costs. Solution: Right-size your resources based on actual usage, using cloud monitoring tools.

B. Failing to Scale Down After Peak Periods

Not scaling down after high-traffic periods (e.g., holidays, sales events) can result in paying for resources you no longer need. Solution: Set up auto-scaling or manually adjust resources after demand drops.

C. Ignoring Unused Resources

Leaving unused resources (e.g., idle virtual machines, unused storage) active can incur charges. Solution: Regularly audit resources to identify and shut down unused instances.

D. Not Leveraging Free Tiers

Many cloud providers offer free tiers for specific services, but businesses may overlook these offerings. Solution: Utilize free-tier offerings for development, testing, and small-scale operations.

4. Conclusion

Optimizing cloud infrastructure costs is essential for businesses looking to control spending while maximizing the benefits of cloud computing. By using strategies like right-sizing resources, leveraging cost management tools, optimizing storage, and implementing automation, businesses can significantly reduce their cloud expenses.

[akkenna-technologies]

🚀 Unlock the Power of DevOps: Bridging Development and Operations 💻🔧

In today's fast-paced digital landscape, DevOps is the bridge that ensures smooth collaboration between development and operations teams. It's not just a methodology; it's a game-changer. 🌟

🔧 What is DevOps?: DevOps is the synergy of development and IT operations, enabling faster development cycles, automated testing, and continuous delivery.

💼 Benefits: With DevOps, you can accelerate innovation, reduce time-to-market, and enhance product quality.

🛠️ Our Expertise: At Akkenna Animations and Technologies, we're DevOps enthusiasts, helping businesses streamline their processes and boost efficiency.

Ready to embrace the DevOps revolution?

Let's talk! 📲 +91 74185 55205 Explore More: https://www.akkenna.com/

[mylearnings519]

The role of containerization in DevOps, and what are some popular containerization tools?

Containerization plays a crucial role in DevOps by providing a consistent and isolated environment for applications and their dependencies. Containers package applications and all required libraries and settings into a single, lightweight unit, making it easier to deploy, scale, and manage applications across different environments. Here’s a more detailed look at the role of containerization in…