Maximizing CI/CD Pipeline Efficiency
A Guide on How to Debug and Optimize Your Production Pipeline
At one particular time, a developer would spend a few months building a new feature. Then they'd go through the tedious soul-crushing effort of "integration." That is, merging their changes into an upstream code repository, which had inevitably changed since they started their work. This task of Integration would often introduce bugs and, in some cases, might even be impossible or irrelevant, leading to months of lost work.
Hence Continuous Integration and continuous deployment (CI/CD) was born, enabling teams to build and deploy software at a much faster pace since the inception of the paradigm shift allowing for extremely rapid release cycles.
Continuous Integration aims to keep team members in sync through automated testing, validation, and immediate feedback. Done correctly, it will instil confidence in knowing that the code shipped adheres to the standards required to be production ready.
However, although many positive factors are derived from CI/CD pipeline, this has since evolved into a complex puzzle of moving parts and steps for organizations where problems occur frequently.
Usually, errors that occur in the pipeline happen after the fact. You have N number of pieces…
