on Devops, Platform engineering, Kubernetes, Developer experience, Idp
Platform engineering has emerged as the solution to the complexity crisis in modern infrastructure. Instead of expecting every developer to master Kubernetes, Terraform, and a dozen other tools, platform teams build abstractions that provide golden paths to production.
on Security, Ai, Llm, Prompt injection, Machine learning, Appsec
As LLMs become central to application architecture, they’ve become prime targets for attackers. Prompt injection, data exfiltration, and jailbreaking threaten any system that integrates AI. Here’s how to defend against them.
on Ai, Development, Productivity, Tools, Claude, Copilot, Cursor
AI coding assistants have evolved from autocomplete tools to genuine pair programmers. In 2026, three platforms lead the market: Claude Code, GitHub Copilot, and Cursor. Each takes a different approach to AI-assisted development.
on Cloud, Containers, Aws, Gcp, Azure, Serverless, Devops
You want containers. You don’t want to manage Kubernetes. Welcome to serverless containers—where you get the packaging benefits of containers without the operational overhead.
on Data engineering, Kafka, Flink, Streaming, Real-time, Big data
Batch processing is dead. Well, not really—but real-time is eating its lunch. In 2026, users expect instant updates, fraud detection in milliseconds, and analytics that reflect reality, not yesterday’s snapshot.