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Software Development
Bloom Filters and HyperLogLog: Probabilistic Structures in Everyday Services
Every busy service asks two questions all day long. First, “have we seen this item before?” Second, “how many different…
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Software Development
Cache Stampedes: Thundering Herds and the Fixes That Actually Work
Your cache hit rate is 99 percent, and the dashboard is green. Then one popular key expires. Within milliseconds, hundreds…
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Software Development
Snapshot Isolation and Write Skew: The Anomaly Your Database Default Allows
Most teams never touch the isolation level. The database picks one, the tests pass, and everyone moves on. Then, months…
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Software Development
Linearizability vs Serializability: The Distinction Most Engineers Conflate
Two words, one letter apart in spirit, and yet they describe different promises. Teams often use them as synonyms in…
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Software Development
Zero-Downtime Migrations: The Expand and Contract Pattern with Flyway or Liquibase
Picture a normal Tuesday deploy. Your new service version starts, your old one is still serving traffic, and a migration…
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Core Java
Kotlin Coroutines vs Virtual Threads: Two Answers to Cheap Concurrency
Every few months, someone on a team asks the same question: now that Java has virtual threads, do we still…
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Core Java
In-Process Inference vs Calling a Service: ONNX Runtime and DJL Against a Remote Model
Every Java team that adds a machine learning model faces the same early choice. Do you load the model inside…
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Core Java
Time Zones as a Data Problem: tzdata Updates, java.time, and the Bugs That Survive
Most developers treat time zones as arithmetic. In reality, they are laws, and laws change on short notice. That makes…
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Software Development
The Outbox Pattern and Change Data Capture: Solving the Dual-Write Problem with Debezium
Saving an order and announcing it to the rest of your system sounds like one job. In reality, it is…
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