Setting Up Continuous Bidirectional Replication Between Two CouchDB Instances
Learn how to configure continuous, bidirectional replication between two CouchDB instances to keep data in sync automatically.
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couchdbMinimal Rack‑Aware HDFS Design – Architecture & Ops Guide
Deploy a minimal HDFS cluster that uses rack‑aware replication to guarantee data durability and fault tolerance. The article covers required configuration, trust boundaries, operational checks, failure modes, and when to scale or add security features.
hadoopConfiguring Aerospike Multi‑Topology Replication for Cross‑Data‑Center Consistency
Learn how to set up Aerospike Multi‑Topology Replication, define topology files, configure nodes, and verify replication status across data centers. Follow our step‑by‑step guide to keep data consistent and avoid split‑brain scenarios.
aerospikeJDBC Driver ↔ ReplicatedMergeTree: Zero‑Downtime Schema Evolution via Online ALTER or Drop‑and‑Swap
Goal Upgrade a small Java application’s ClickHouse schema without service interruption. The application uses the official JDBC driver and a ReplicatedMergeTree table that must stay writable during the change. Constraints ALTER TABLE ADD COLUMN with a default value temporarily locks writes on the shard. Drop‑and‑swap requires a brief window where the old tabl
clickhouseNotEnoughReplicasException during acks=all production deployment
Producer Failure in High-Durability Configurations In a production Kafka cluster (version 3.x), a producer is configured with acks=all to ensure maximum data durability. While this configuration functions without issue in a local single-node environment, it triggers a NotEnoughReplicasException when deployed to a multi-broker production cluster. The cluster
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