Neki brings proven sharding expertise from the Vitess team to the Postgres ecosystem, enabling massive horizontal scaling for Postgres users. This provides a path for high-growth applications to scale without abandoning the Postgres feature set or switching to proprietary solutions.
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Read full articleUsing Postgres for queues is convenient but risky. High-churn tables generate dead tuples that can bloat indexes. If long-running transactions block autovacuum, I/O overhead can degrade the entire database's performance, potentially bringing down the application.
This article provides a blueprint for building high-concurrency, real-time applications by combining edge computing with optimized database pooling. It demonstrates how to minimize latency between globally distributed users and centralized stateful databases.
This release future-proofs Vitess by adopting MySQL 8.4 as the default and enhances operational reliability through refined metrics and recovery controls. It simplifies monitoring by removing legacy APIs while providing a safer path for horizontal scaling and database upgrades.
This report highlights the importance of control and data plane separation and the operational challenges of network partitions. It demonstrates how proactive capacity management and manual failover strategies can mitigate upstream cloud provider outages and capacity constraints.
