Monolith vs Microservices: The Honest Tradeoffs
What microservices actually cost, what problems they actually solve, and how to think about the decision instead of treating it as a default choice.
What microservices actually cost, what problems they actually solve, and how to think about the decision instead of treating it as a default choice.
What distributed tracing is, how trace context propagation works, and how to use traces to find the actual source of latency in a multi-service system.
What ACID guarantees actually mean, what isolation levels exist and what anomalies each one allows, and how to choose the right level for your use case.
What actually happens when you type a domain name into a browser - the full DNS resolution chain, from recursive resolvers to authoritative nameservers.
What the stack and heap actually are, how memory allocation works at the hardware level, and why understanding this makes you a better programmer in any language.
The differences between JWTs, server-side sessions, and OAuth2, and how to choose the right mechanism for the authentication problem you are actually solving.
A commit is not a diff - it is a snapshot. Understanding the object model inside .git/objects changes how you think about branches, merges, and history.
Why software estimates are hard, the cognitive traps that make them worse, and practical techniques that make your estimates less wrong over time.
What to focus on, what to let go of, and how to build credibility in a new engineering role without burning out trying to prove yourself.
How Apache Kafka works under the hood - what makes it different from a traditional message queue, and how producers, consumers, and partitions fit together.
The difference between ETL and ELT, how modern data pipelines are built, and how to choose the right approach based on your actual constraints.
How to integrate AI coding tools effectively, where they genuinely help, where they mislead you, and what you still need to understand yourself.