Advanced Bitbucket Pipelines: Automating Deployments and Managing Third-Party Integrations

Course details

In this course, software engineer Michael Jenkins guides you through how to use advanced Bitbucket topics for your software projects. Gain a solid understanding of developing optimal Bitbucket Pipelines to automate deployments. Dive into integrating Bitbucket Pipelines with third party services within your environment.

Check out this course to find out how you can solve complex CI/CD challenges using Bitbucket Pipelines to reduce build times, leverage the power of pipeline components, and deploy self-hosted runners for more control of your build environments.

Learning objectives
Optimize pipelines for efficiency, reducing time spent processing workflows.
Apply Bitbucket Pipes in build steps to automate tasks, simplify workflows, and improve development speed.
Develop custom pipes to handle unique requirements and workflows specific to your projects or organizations.
Deploy self-hosted runners for maximum control over build environments.

Concepts

0. Introduction

01 - Optimize your CI CD - Advanced techniques with Bitbucket Pipelines
02 - Bitbucket Pipelines review

1. Pipeline Optimizations

03 - Optimizing pipeline performance and reducing build times
04 - Configure maximum runtime
05 - Configure resource allocation
06 - Use conditional steps
07 - Cache dependencies
08 - Solution - Optimize a pipeline

2. Using Pipes in Pipelines

09 - Getting to know pipes
10 - Use a pipe in a pipeline configuration
11 - Use a pipe to deploy code to AWS Lambda
12 - Solution - Use pipes in a pipeline

3. Create Custom Pipes

13 - When to use custom pipes
14 - Develop a custom pipe
15 - Test a custom pipe
16 - Deploy a custom pipe to a container registry
17 - Use a custom pipe in a pipeline
18 - Solution - Develop a custom pipe

4. Self-Hosted Runners

19 - When to use self-hosted runners
20 - Self-hosted runner configurations
21 - Compare repository and workspace runners
22 - Install runners in a workspace
23 - Use self-hosted runners in a pipeline
24 - Solution - Deploy a self-hosted runner

Conclusion

25 - Next steps