Single-Stage or Multi-Stage Docker Builds
Explore single-stage vs multi-stage Docker builds with a small Flask API, learning differences in image size, build speed, and container optimization. Read more to learn.
- #platform
Blog
-
-
đŠī¸ Cloud: What Is High Availability
Learn High Availability in the cloud: how redundancy, load balancing, and failover keep your applications online with minimal downtime. Explore this comprehensive guide.
- #platform
- #cloud
-
October Reflection 2025
Reflections on evolving a Flask API from SQLite MVP to PostgreSQL with Docker, Azure cloud deployment, feature flags, and DevOps workflows. Read the full guide to learn.
- #monthly-log
- #python
-
đŠī¸ Cloud â Elasticity vs Scalability
Learn the key differences between cloud scalability and elasticity, with clear examples and visual timelines showing how resources adjust over time. Read more to learn.
- #platform
- #cloud
-
How to Trigger Workflows Between Repos
Learn how to trigger GitHub Actions workflows within the same repo and across repos to automate tasks like syncing blog posts. Discover essential tips and practical guides.
- #platform
-
Python zip Explained with Examples
Learn how Python's zip() function pairs iterables into tuples. Simple examples show looping, unzipping, and creating dictionaries efficiently. Read the full guide to learn.
- #python
-
Astro Builds with Mermaid Diagrams
Learn how to render Mermaid diagrams in Astro using rehype-mermaid and Playwright, with GitHub Actions for preview and production deployments. Read the full guide to learn.
- #growth
-
Understanding APIs: REST vs GraphQL
Learn the key differences between REST and GraphQL APIs, their pros and cons, and when to use each for your project. Read this comprehensive guide to learn much more.
- #system-design
-
August Reflection 2025
Reflecting on my 4-month Shopify internship: embracing progress over perfection, lightening my technical backpack, and shipping with confidence. Dive into the full post.
- #monthly-log
-
Understanding Data Modeling
Overview of conceptual, logical, and physical data models with examples and diagrams to guide database design from abstract ideas to implementation. Read more to learn.
- #backend