Blog: Understanding the Working of DevOps in the GCP

Google Cloud has been a great tool for companies and organizations to improve their service. It offers tons of benefits and cost-saving methods. GCP has now created DevOps to offer the organizational and cultural movement to increase software delivery velocity, improve service reliability, and build shared ownership among all software stakeholders.
What is DevOps in GCP and how do they work?
GCP DevOps is a way to achieve elite performance in software development and delivery. This increases the speed of your deployments, as the best teams can deploy 208x more often with a lead-time 106x shorter than low performers. It also improves software stability. Google has the best DevOps teams, which can recover from incidents quicker and with a lower failure rate. DevOps at Google has in-built security, which means that high performers spend less time fixing security problems than low performers.
This blog will discuss the features, products and DevOps working in conjunction with services to better understand the concepts of DevOps within GCP.
What are the key capabilities for DevOps within GCP?
Google DevOps assists in improving technical and cultural capabilities to provide better performance. These capabilities will help you improve the stability, availability, security, and speed of your software delivery. Google also includes DORA’s State of DevOps research programme, which validated a variety of technical, process and measurement capabilities that can drive software delivery and organizational performance. Some of these capabilities include:
1. Version control
Version control systems are a logical way to organize files and coordinate their creation, update, and deletion across teams and organizations. This is a key component of automation. This means that automation and continuous integration are dependent on these files for the source code. Version control is also useful in improving software delivery. It provides source code, test and deploy scripts, infrastructure information, application configuration information, as well as the many libraries and packages that they depend on.
2. Trunk-based development
Trunk-based development can be used to drive higher software delivery and organizational performance.
There are two main patterns that developers teams can follow when working together with version control.
First, feature branches. This is where a developer or group of developers creates a branch, usually starting from the trunk. Then they work in isolation on the branch until the feature is complete. Once it is complete, they join the feature branch back into the trunk.
Secondly, trunk-based development. Every developer splits their work into small batches and then joins the work into the trunk at minimum once per day. The feature branches are often complex and require multiple developers. They can take days, if not weeks of work. Branching in trunk-based development, on the other hand, takes only a few hours and many developers join their changes into the trunk often.
3. Continuous integration
Software systems can be viewed as a composite of simple, self-contained changes. This means that a single file could have unintended consequences on the entire system. When a large number developers work on similar systems, it can be difficult to coordinate code updates. Incompatible changes from different developers may also occur. Continuous integration (CI) was developed to address these issues. This is based on the principle that if something requires a lot of energy and time, it should be done more often. This works by creating a fast feedback loop and ensuring developers work in small batches. CI allows teams to produce high-quality software, reduce the cost of ongoing maintenance and software development, and increase their productivity.

Author: Alexander