4 database scaling strategies every engineer should know: 🧵🔖

What is Analytics Lake? 🧵🔖

Load Balancer vs Reverse Proxy — What's the Difference? 🧵🔖

How do you manage Protobuf APIs? 🧵🔖

OSI Model clearly explained 🧵🔖

The main components of Docker explained 🧵🔖

Deployment and scaling is hard! Not anymore. This is one of the simplest deployment flows I’ve used in years: 🧵🔖

There's now an MCP server to browse the web like humans. (Unblockable, works at scale): 🧵🔖

VS Code, Cursor, Windsurf. CodeRabbit now runs natively across them all. AI code reviews in your IDE and PRs (FREE in IDE): 🧵🔖

Clean architecture explained: 🧵🔖

Database indexing explained: 🧵🔖

How do we design effective and safe APIs? 🧵🔖

The main components of Kubernetes explained: 🧵🔖

Just 4 hours to go until the POST/CON keynote presentation. I always find these sessions invaluable for understanding where the industry is heading. If you aren't attending, you can watch the livestream here (link in subtweet) ↓

Elasticsearch explained: 🧵🔖

How to orchestrate and automate DevOps workflows. (100% open-source, 18k+ stars, works at scale) 🧵🔖

Atlassian just released Rovo Dev, and it’s a game-changer. Here’s what you need to know: 🧵🔖

Kafka vs Diskless Kafka — What's the Difference? 🧵🔖

AI is making code reviews faster (and better). Here’s how: 🧵🔖

Most teams fix incidents. The best teams learn from them. I’ve worked with teams that resolved incidents in minutes, then made the same mistake a month later. Why? Because their post-incident reflection was broken. Either it doesn’t happen, or it happens too late, with too