업무 효율성 향상을 위한 3가지 최고의 DevOps 자동화 실천 방안

Automation is one of the key principles for accelerating with DevOps. to mention, it enables consistency, reliability, and efficiency within the organization, making it easier for teams to discover and troubleshoot problems. Here are the 3 best DevOps Automation Practices you should know about:

1. Continuous integration, continuous delivery, and continuous deployment:

The terms “DevOps” and “CI/CD” are frequently used interchangeably. We understand that DevOps encompasses a lot more than just enabling contributors to build and run code (or deliver configurations) and increasing developer productivity. As a result, the time it takes to design and deliver apps is reduced, allowing teams to contribute value and learn more quickly. While CI/CD and DevOps are not synonymous, they are complementary.

• Continuous integration (CI) is a technique that tests each change and allows users to see if their changes break anything in the environment.
• Continuous delivery (CD) is the process of developing software in such a way that any successful release candidate can be deployed to production at any time.
• Continuous deployment (CD) is a step beyond continuous delivery. Every successful modification is automatically deployed to production with continuous deployment. Because some businesses and technologies (such as hardware and manufacturing) cannot immediately distribute new updates to clients, continuous deployment is dependent on your company and product.

2. Change Management:

Change management is a crucial component of many corporate processes. There are several fundamental standards and tooling that development and operations teams can utilize to create uniformity, like the automation guidelines.

• Version control: The use of version control has a long history of assisting people in undoing changes and learning from previous judgments. Version control, which ranges from RCS to SVN, CVS to Perforce, ClearCase to Git, is a must-have for enabling teams to cooperate by providing a consistent workflow and code base for everyone to work with.

• Change control: Having a system in place to coordinate and facilitate changes, in addition to storing your code’s version history, helps to preserve product direction, decreases the likelihood of detrimental adjustments to your code, and encourages a collaborative approach.

3. X as code

Through high-level abstractions, Infrastructure as code (IaC) model provides a declarative framework for managing different components of your operating environments. To put it another way, you give a tool variable, and the output is always the same, allowing you to duplicate your resources with consistency. DevOps uses the “as code” principle to achieve several objectives.

Platform as code (PaC) provides you a declarative model for services, like how infrastructure as code gives you a framework for rebuilding the same infrastructure—allowing you to quickly deploy services to existing infrastructure using high-level abstractions.

Configuration as code (CaC) takes declarative pipelining to the next level by specifying your apps’ configuration as versioned resources.

Accordingly, these are the main things you should know about DevOps automation practices before you adopt any. DevOps is a culture, and with digitalization it is expanding among corporations and businesses on a daily basis.