Trace Linux System Calls with Least Impact on Performance in Production
To trace system calls in Linux effectively, you can use perf to analyze system calls that have latency in general scenarios. For containers or Kubernetes that use cgroup v2, traceloop is more convenient.
Batch Processing Massive Data Much Quicker with TiSpark
A senior solution architect at PingCAP explains why TiSpark (TiDB + Apache Spark) is better than the traditional batch processing solution, how you can benefit from TiSpark, and how it works.
Tips and Tricks for Writing Linux BPF Applications with libbpf
Compared to BCC, the libbpf + BPF CO-RE solution greatly reduces storage space and runtime overhead. That's why we switched from bcc-tools to libbpf-tools. This post introduces some tips and tricks for writing BPF applications with libbpf.
Transparent Huge Pages: Why We Disable It for Databases
This post dives deep into how transparent huge pages (THP) slow down the system. You'll learn why you should disable THP to improve your database performance and how to disable it in Linux.
Why We Switched from BCC to libbpf for Linux BPF Performance Analysis
Libbpf + BPF CO-RE is better than BCC. It greatly reduces storage space and runtime overhead, and it improves programmers' deployment and development experience.
Lessons from TiDB’s No. 1 Bug Hunters Who’ve Found 400+ Bugs in Popular DBMSs
Dr. Manuel Rigger and his colleague have found 400+ bugs in popular DBMSs, including 50+ TiDB bugs. Learn their experience in finding logic bugs in DBMSs.
chaos-mesh-action: Integrate Chaos Engineering into Your CI
Chaos Mesh is a cloud-native chaos testing platform that orchestrates chaos in Kubernetes environments. This article shares how to use chaos-mesh-action, a GitHub action to integrate Chaos Mesh into the CI process.
How We Build an HTAP Database That Simplifies Your Data Platform
This post talks about why HTAP matters in a database platform, how TiDB implements HTAP, and how you can apply TiDB in different scenarios.
TiDB Cloud: Managed SQL at Scale on AWS and GCP
This post introduces in detail the features of TiDB Cloud - the fully managed, horizontally scaling, cloud-native, distributed SQL database in the cloud.
Building an Automated Testing Framework Based on Chaos Mesh and Argo
This article describes how we use TiPocket, an automated testing framework, to build a full Chaos Engineering testing loop for TiDB.
Create a Scale-Out Hive Cluster with a Distributed, MySQL-Compatible Database
This post shows how to deploy a Hive cluster with TiDB to achieve horizontal scalability of Hive Metastore.
How TiDB’s HTAP Makes Truly Hybrid Workloads Possible
This post introduces the design details of the HTAP architecture of TiDB, including the real-time updatable columnar engine, the multi-Raft replication strategy, and smart selection.