concurrency
3 series
Series
Jenkins CI/CD
Unlock the power of Jenkins CI/CD in your development workflow! This introduction covers essential prerequisites, including understanding the contrasting roles of the controller and agent, and highlights the groundbreaking concept of "Pipeline as Code." With a verified build agent equipped with Python, Docker, and Git, you’ll elevate your automation process, ensuring reproducibility and efficiency while embracing best practices for a robust development environment.
- 1Jenkins CI/CD (1/11): Prerequisites and Mental Model
- 2Jenkins CI/CD (2/11): Create the Minimal Repo and Prove Local Tests Run
- 3Jenkins CI/CD (3/11): First Jenkins Job With a Jenkinsfile
- 4Jenkins CI/CD (4/11): Test Reporting With JUnit Results in Jenkins
- 5Jenkins CI/CD (5/11): Fast-Fail Static Checks With a Lint Stage
- 6Jenkins CI/CD (6/11): Integration Tests With Docker Compose
- 7Jenkins CI/CD (7/11): Artifacts and Debugging Failed Builds
- 8Jenkins CI/CD (8/11): Workspace Cleanup, Timeouts, and Retries
- 9Jenkins CI/CD (9/11): Concurrency and Port Conflicts
- 10Jenkins CI/CD (10/11): Release Pipeline — Build Artifacts on Tags
- 11Jenkins CI/CD (11/11): Publish to PyPI Securely
pgmonkey
Alright, so here's the gist: You can get started with pgmonkey in under five minutes. Just set up your project folder, install pgmonkey, and create a YAML config file. After tweaking it for your database, test your connection and run a simple Python query. Easy peasy!
- 1pgmonkey (1/8) — Getting Started
- 2pgmonkey (2/8) — Connection Types
- 3pgmonkey (3/8) — Securing Connections with SSL/TLS
- 4pgmonkey (4/8) — Connection Pooling
- 5pgmonkey (5/8) — Environment Variables and Secrets
- 6pgmonkey (6/8) — The CLI Toolbox
- 7pgmonkey (7/8) — CSV Import and Export
- 8pgmonkey (8/8) — Production Patterns
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