We have one release this month:
We were thrilled to announce that we have raised $270 million in Series D funding. See PingCAP, the Company Behind TiDB, Raises $270 Million in Series D Funding for details.
In Choosing the Right Enterprise-Grade Disaster Recovery Solution for the Financial Industry, Jun Yu walked us through how different types of databases handled high availability and disaster recovery. By understanding their limitations, we can see why TiDB, an open-source, distributed SQL database, is an excellent choice for the financial industry.
DM 2.0 has reached general availability, and it supports highly available migration tasks and shard merging and migration in optimistic mode. See DM 2.0 GA: Secure, Easy, Highly Available Data Migration for details.
Zhi Qi, the Real-time analytics R&D engineer at PingCAP, in his article Flink + TiDB: A Scale-Out Real-Time Data Warehouse for Second-Level Analytics, described what a real-time data warehouse was, the Flink + TiDB real-time data warehouse's architecture and advantages, this solution's real-world case studies, and a testing environment with Docker Compose.
TiDB on KubeSphere: Run a Cloud-Native Distributed Database on a Hybrid-Cloud Kubernetes Platform, an article written by Will Zhang, an SRE engineer at iSoftStone, introduced how he ran TiDB on a hybrid-cloud Kubernetes platform.
Xinye Tao wrote an article How to Run a Database on AWS with Better Performance and Lower Cost that demonstrated how we at PingCAP deployed and optimized TiDB for production on AWS Cloud. It's our hope that recommendations provided here will also help you configure the TiDB service most suitable for your own workload.
In How a Top Game Company Uses Chaos Engineering to Improve Testing, Hui Zhang at Fuxi Lab, NetEase, discussed one of our most valuable testing tools, Chaos Mesh.
glue.Glueinterface in TiDB Lightning
recoverFailovermight be forgotten to unset
We'd like to welcome the following new contributors to TiDB and thank them for their work!