Engineers rely on rollback to keep systems stable—but sometimes it isn’t possible. This article explores irreversible changes and why baking and testing matter.
This article combines practical mentoring experience with an analysis of how AI alters the junior career path, focusing on what teams should realistically expect today.
The 7 Rs framework helps you choose the smartest path to modernize every application, reduce legacy risk, and align your tech stack with future business goals.
High-concurrency systems — especially retail, travel, ticketing, or any “hot product” scenarios — often face cache stampedes (aka "thundering herd", "dogpiling"). Here's a practical pattern for managing concurrent data requests.
In this article, I want to take a closer look at the pitfalls of popular SaaS scaling strategies, drawing on my own experience, and share the lessons learned.
A real Gemini Pro session shows how AI can look “done” while skipping uploaded data and ignoring STOP commands — creating silent failure risk without verification.
Cloud systems drift when exceptions accumulate, and decisions lose connection to original objectives. Clear requirements and early security design prevent sprawl.
AI-driven development is outpacing security teams. This piece examines where AI-powered security actually help, where they fail, and how teams can use them responsibly.
Microservices introduce distributed-systems complexity most teams underestimate: failures, coordination drag, observability sprawl, and ballooning costs.
Agent identity and its audit history will enforce zero-trust access for agents based on both identity and past behavior. This makes agent access more secure and reliable.
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