Articles

Example Article: Testing the Automated Workflow

This is an example article created to test the automated Calmly Writer → GitHub Pages workflow.

What This Article Demonstrates

When this file is committed and pushed to GitHub, the automated workflow will:

  1. Validate the frontmatter - Check that the title exists
  2. Auto-generate the date - Add the current timestamp from file modification time
  3. Auto-add metadata - Set draft: false and tags: []
  4. Process images - Copy any images from ./images/ to /static/images/
  5. Migrate the file - Move this from /drafts/ to /content/articles/
  6. Build and deploy - Hugo builds the site and deploys to GitHub Pages

Testing Image Processing (Optional)

To test image processing, you can add an image:

Building Resilient Data Pipelines with SQLMesh: A Modern Alternative to dbt

SQLMesh is emerging as a powerful alternative to traditional data transformation tools like dbt, offering better performance, smarter incremental processing, and more robust data pipeline management.

In this deep dive, I’ll explore how SQLMesh’s approach to data transformations can solve common pipeline challenges that keep data engineers up at night.

What Makes SQLMesh Different

  • Intelligent incremental processing
  • Built-in data quality checks
  • Advanced dependency management
  • Performance optimization

Real-World Implementation

Coming soon: hands-on examples of migrating from dbt to SQLMesh, performance comparisons, and production deployment strategies.

Welcome to datanyblles

Welcome to datanyblles - my digital space for exploring data engineering, building robust pipelines, and sharing insights from the trenches of data infrastructure.

This blog will cover:

  • Data pipeline architectures
  • Tools and technologies in the data stack
  • Best practices for data engineering
  • Real-world challenges and solutions

Let’s build something amazing with data! 📊

Example Article: Testing the Automated Workflow

Planted February 12, 2026

This is an example article created to test the automated Calmly Writer → GitHub Pages workflow.

What This Article Demonstrates

When this file is committed and pushed to GitHub, the automated workflow will:

  1. Validate the frontmatter - Check that the title exists
  2. Auto-generate the date - Add the current timestamp from file modification time
  3. Auto-add metadata - Set draft: false and tags: []
  4. Process images - Copy any images from ./images/ to /static/images/
  5. Migrate the file - Move this from /drafts/ to /content/articles/
  6. Build and deploy - Hugo builds the site and deploys to GitHub Pages

Testing Image Processing (Optional)

To test image processing, you can add an image:

  1. Place an image file in /drafts/images/example-diagram.png
  2. Reference it in markdown: ![Example Diagram](./images/example-diagram.png)

The automated script will:

  • Look for the image in /drafts/images/
  • Copy it to /static/images/
  • Update the path in the markdown to /images/example-diagram.png

For this example, the image is optional - the workflow will work without it.

Benefits of This Workflow

  • Zero configuration needed locally - just write and push
  • No manual frontmatter - only title is required
  • Automatic image handling - no path updates needed
  • Fast deployment - live in ~2 minutes after push
  • Error prevention - validation catches missing titles

Next Steps

After testing this workflow, you can:

  1. Delete this example article
  2. Start writing real content in Calmly Writer
  3. Export to /drafts/ and push to GitHub
  4. Watch your content go live automatically

This article was created as part of the automated workflow setup. Feel free to delete it once you’ve verified the automation works correctly.