This article illustrates the best practices of running TiDB on AWS, including how to choose the suitable cloud storage and properly configure the system.
DM 2.0 has reached general availability. It supports highly available migration tasks and shard merging and migration in optimistic mode.
Financial companies have stringent requirements for high availability and disaster recovery, which many databases cannot meet. This article describes how TiDB addresses both these issues with a range of options that make it an excellent choice for the industry.
TiDB v4.0.7 introduced a new feature: the metrics relation graph. It helps users clearly see the relationship between different performance metrics in a database cluster and thus quickly locate the root causes of performance problems.
TiCDC is TiDB's change data capture framework. It is now generally available. This post introduces its features, application scenarios, and real-world case studies.
This post analyzes the pros and cons of running databases in Kubernetes. It also introduces TiDB Operator, a tool for managing TiDB clusters in Kubernetes, and describes how large companies are using it in their production environments as well as their best practices.
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