Explaining the content and importance of initiatives in system development projects
1. What is DevOps?
DevOps is a combination of two words: “Development” and “Operations.” Although the term itself is new, the idea behind it is simple. It is a way of thinking and methods that enable developers, who create software and applications, and operators, who actually operate and manage them, to work together more closely to continuously improve and evolve products.
2. Why do we need DevOps?
(Coordination between development and operation)
In old development environments, the typical step was for a developer to create a new feature, and once it was completed, hand it over to an operator to run it. However, this approach can easily create a communication gap between developers and operators, which can lead to errors and problems. In particular, when using the Scrum development method, not only operation but also development continues even after the development project is completed and released to users. DevOps was born as a methodology to eliminate the gap between development and operations and achieve faster and more efficient development and operations.
(Response to expanding functions)
Each system function and data is closely related. When adding a new feature, not only that feature, but all existing features need to be re-examined. Considering this current situation, the more functions a system has, the wider the scope of verification becomes, and the harder it becomes to change the system. Solving this problem requires automating repetitive tasks, verification, and daily system operations as much as possible. This allows you to create an environment where you can focus on adding and improving features.
3. DevOps methodologies and tools
To realize DevOps, many methods and tools exist to streamline and improve the quality of actual development and operation processes.
① Continuous integration (CI)
A process by which developers frequently integrate code into a central repository. At that time, the code will be tested automatically.
Advantages: Errors and bugs can be detected and fixed early.
② Continuous delivery (CD)
The process of furthering the CI process and automatically deploying code that passes automated tests to production.。
Advantages: Significantly reduces release effort and time and enables rapid release.
③ Containerization
A technology that packages an application and its dependencies as a single “container” and allows it to operate independently of the environment.
Benefits: Ensures application behavior in a consistent environment and eases deployment.
④ Infrastructure coding
Writing and managing infrastructure as code. This facilitates automation and reuse.
Benefits: Infrastructure setup and changes can be made quickly, reliably, and reproducibly.
⑤ Monitoring and feedback
A process for monitoring the operation of applications and infrastructure in real time and responding quickly when problems occur.Benefits: Early detection and response to problems, maintenance and improvement of service quality.
⑥Automatic test
This is the process by which tests are run automatically whenever code is changed or added. This includes unit tests, integration tests, end-to-end tests, etc. Automated testing is a core part of the DevOps culture and an essential method for continuing to maintain code quality. Automated testing within the continuous integration (CI) chain helps ensure code releases are made faster and more reliably.
Merit
・Maintaining quality : Minimizing bugs and defects in the code.
– Rapid feedback : Developers can immediately recognize problems in their code and can easily fix them.
・Efficient development : Reduces manual testing efforts and increases development speed.
⑦ Automatic error detection
・Definition : The process of detecting abnormalities and errors in systems and applications in real time and notifying related parties.
Merit
– Rapid response : By detecting system abnormalities and errors early, downtime can be minimized.
・Improving quality : By continuously monitoring the health of the system, quality can be maintained and improved.
・Improve user experience : Reduce end-user dissatisfaction and trouble by quickly resolving system issues.
Automatic error detection is key to maintaining system health. In particular, real-time monitoring and error notification are essential for large-scale systems and services that are accessed by many users.
⑧Data consistency check
– Definition : The process of verifying that data is accurate and free of inconsistencies and gaps when it is moved between two or more systems or databases.
Merit
・Improving data reliability : Preventing data inconsistencies and data loss between systems and maintaining data quality.
・Early detection of problems : By regularly checking the integrity of data, it is possible to detect problems and abnormalities early and respond quickly.
– Stable system operation : Ensuring accurate data movement improves the stability of the entire system.
Data integrity checking is especially important in complex systems and environments with many data sources. Maintaining data integrity within the DevOps methodology ensures the continued quality and stability of the system. Various tools are provided for each of the above techniques. At our company, we strive to realize DevOps by appropriately combining tools and, in some cases, developing our own tools4. DevOps Culture – A philosophy that’s more than just a technology
DevOps is about changing not just the technology and tools, but the culture and philosophy of an organization. At its core is the idea that developers and operators work together to deliver efficient, high-quality software.