Consistency
Eventual Consistency: Read the System Like a Timeline
A practical explanation of eventual consistency and how to make delayed updates understandable to users.
Correctness
Determinism: Same Inputs, Same Outcome
Why deterministic processing makes replay, recovery, testing, and distributed debugging much easier.
CAP
CAP Theorem: The Practical Meaning
A practical explanation of CAP theorem through the choice a system makes during a network partition.
Fault Tolerance
Byzantine Faults Without the Mystery
A plain explanation of Byzantine faults, where a participant may lie, corrupt data, or send conflicting answers.
Distributed Systems
Availability in Distributed Systems
A practical explanation of availability, graceful degradation, and what users should still be able to do when part of a system is unhealthy.
Distributed Systems
Distributed Computing Jargon: An A to Z Glossary
A plain language glossary of distributed systems terms, from availability and CAP to Lamport time, consensus, ordering, serialized transactions, and ZooKeeper.
Cloud
Finding Performance Bottlenecks in a Serverless Microservice Chain
A practical guide to tracing, profiling, fixing, and proving performance issues across API Gateway, ALB, ECS Fargate, PostgreSQL, and DynamoDB.
Java
JVM OOM: When the Leak Is in a Library
A data rich JVM memory troubleshooting case study using JFR, heap dumps, Eclipse Memory Analyzer, and a real Netty classloader leak.
Leadership
Protect the Time That Builds Software
A practical article about protecting the time of strong engineers, reducing low value meetings, and keeping builders focused on meaningful software impact.