Develop, Deploy and Deal with DevOps!


Develop, Deploy and Deal with DevOps!

Introduction:
DevOps is the amalgamation of development and operations and is the practice of collaborating together to define processes that drive the service lifecycle, from the design to the delivery. The word "DevOps" represents a set of ideas and practices much larger than those two terms alone, or together. This methodology is a natural extension for Agile and continuous delivery approaches.
DevOps is a way to release better software. It is not just technical tools or workflows. DevOps is also a cultural practice. DevOps produces better software, faster by aligning development, staging, and deployment.
While it is not a fixed methodology, automation, and a collaborative culture are the foundation for DevOps practices, which include:
  • Using a shared set of tools and best practices
  • Including all teams in the software delivery process from planning to production
  • Measuring the things that have an impact
  • Making those measurements visible to everyone
  • Automating the development pipeline
  • Removing bottlenecks for faster delivery

Essentials:
  • Culture: Think of DevOps much like agile, but with the operations included. Forming project- or product-oriented teams to replace function-based teams is a step in the right direction. Include development, QA, product management, design, operations, project management, and any other skill set the project requires. Teams that practice DevOps deploy 30x more frequently have 60x fewer failures, and recover 160x faster
  • Automation: Investing in automation eliminates repetitive manual work, yields repeatable processes, and creates reliable systems. Build, test, deploy, and provisioning automation are typical starting points for teams who don’t have them in place already
  • Lean: A DevOps mindset sees opportunities for continuous improvement everywhere
  • Measurement: It’s hard to prove your continuous improvement efforts are actually improving anything without data
  • Infrastructure as code: It is an infrastructure management approach that makes continuous delivery and DevOps possible. It entails using scripts to automatically set the deployment environment (networks, virtual machines, etc.) to the needed configuration regardless of its initial state. Infrastructure as code is a practice in which infrastructure is provisioned and managed using code and software development techniques, such as version control and continuous-integration
  • Containerization: Virtual machines emulate hardware behavior to share computing resources of a physical machine, which enables running multiple application environments or operating systems on a single physical server or distributing an application across multiple physical machines. Containers, on the other hand, are more lightweight and packaged with all runtime components but they don’t include whole operating systems, only the minimum required resources

  • Cloud infrastructure: Today most organizations use hybrid clouds, a combination of public and private ones   
  • NoOps: It means no operation. Its philosophy is to remove all the platform management parts and reduce friction between developers and infrastructure
  • Continuous Delivery: It’s a software development practice where code changes are automatically built, tested, and prepared for a release to production
  • Continuous Development: Your software is getting developed continuously
  • Continuous Integration: Which is where coding, building, integrating, and testing takes place. In this stage, if your code is supporting new functionality, it is then integrated with an existing code continuously. As the continuous development keeps on taking place the existing code needs to be integrated with the latest one “continuously”, also, the changed code should ensure that there are no errors in the current environment for them to work smoothly
  • Continuous Testing: Developed application is being tested continuously to detect the bugs using the several automation tools
  • Continuous Monitoring: The important information is provided and which basically helps you to ensure the service up-time and the optimal performance. The operations team get the results from the reliable monitoring tools to detect and fix the bugs/flaws in the application

  • Continuous Deployment: Which focuses on automating releases of projects as soon as possible
  • Configuration Management (CM): The process of maintaining up-to-date, detailed records of hardware and software - including versions, requirements, network addresses, and design and operational information is known as configuration management
  • Resource Orchestration: When it comes to micro-services, service-oriented architecture, converged infrastructures, virtualization, and provisioning, the coordination and integration of computer systems is known as orchestration
  • Containers: These are lightweight virtualization components that run isolated application workloads. They run their own processes, file systems, and network stacks, which are all virtualized using the root operating system (OS) running on the hardware
  • Source (Version) Control: Version control includes practices and tools that help R&D organizations maintain and control changes within their source code repository
  • Bug Tracking: A bug tracker is a system that aggregates and reports software bugs and defects
  • Test Automation: It facilitates test engineer work by supporting multiple tests that run continuously. It enhances test coverage while supporting efficient release cycles
  • Unit Test: It is a process that allows testers to examine small parts of an application, such as a specific code or module. This test is usually automated and reused in order to support continuous testing and integration
  • Monitoring: These tools are essential and provide crucial information that helps to ensure service robustness in terms of availability, security, and performance
  • Application Performance Monitoring (APM): APM allows you to automatically detect and be alerted about hotspots in your application framework that includes the application and database layers

  • Log Management: It’s the practice of dealing with large volumes of computer-generated messages. They can be operational messages or for BI purposes
  • Microservices: It is a design approach to build a single application as a set of small services. Each service runs in its own process and communicates with other services through a well-defined interface using a lightweight mechanism, typically an HTTP-based API
  • Operate: for conducting the development operations of configuration management and continuous monitoring

Advantages:
  • Speed, Rapid Delivery, Reliability, Scale, Improved Collaboration, and Security
  • Trust, Predictability, Reproducibility, Maintainability, and Time to market
  • Greater Quality, Reduced Risk, Resiliency, and Cost Efficiency
  • Breaks larger code base into small pieces, and Higher-quality software

Disadvantages:
  • Difficult to make changes in the testing environment and It is a risky process as it was difficult to diagnose and provide the feedback
  • It used to exclude the end-user/clients due to which the majority of people did not trust this methodology
  • Delays in the testing process and DevOps requires comprehensive automation tools


Developer-Take-A-Ways!

Conclusion:
DevOps promotes collaboration between Development and Operations Team to deploy code to production faster in a robotic & repeatable way. Manual code deployment leads to human errors in production. DevOps skills will only continue to grow and DevOps is here to stay. Dev and Ops teams are increasingly moving to rapid development and reliable, high-performance service delivery.
      I’m going to share a bunch of tools for developers at the Developer Take-A-Ways Section of the story, but feel free to comment, share or send me any other interesting videos or links you might have found. It’s a massive opportunity to work on. I hope you found this article useful.
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