
Inside the Kafka Cluster: Brokers, Replication, and KRaft
Kafka stays available when brokers fail because of how it stores and replicates data. See how partitions are copied across brokers, how lead...

Kafka stays available when brokers fail because of how it stores and replicates data. See how partitions are copied across brokers, how lead...

Kafka scales well by design, but it rarely scales on its own. This guide walks through the levers that matter most: sizing partitions, tunin...

Kafka turns a tangle of point-to-point integrations into one shared, durable log of events. This first post covers the core ideas, why Kafka...

TL;DR — UBDCC is not "Redis for Binance order books". It is an order book trust layer: every layer of the stack — UBWA, UBLDC, the cluster, ...

Add one server under naive hash%N and most keys move for no reason. This post builds a real consistent hashing ring, measures how much less ...

Netflix's architecture has evolved from a monolithic DVD business into a globally distributed platform built around EKS, Envoy, Open Connect...

We added Redis to fix a slow endpoint and watched response times drop. Then came stale data, invalidation problems, traffic spikes, and data...

Most applications do not fail because the code is bad. They fail because success arrives faster than the architecture evolves. A backend tha...