explaingit

dianping/cat

18,948JavaAudience · ops devopsComplexity · 4/5StaleLicenseSetup · hard

TLDR

Real-time application monitoring platform that tracks errors, slow requests, and performance metrics across distributed services as they happen, with dashboards and alerts.

Mindmap

mindmap
  root((CAT))
    What it does
      Real-time monitoring
      Error tracking
      Performance metrics
      Alert dashboards
    How it works
      Client libraries
      Central server
      Data processing
      Near-real-time display
    Tech stack
      Java server
      HDFS storage
      Multi-language clients
    Use cases
      Backend services
      Distributed systems
      Performance visibility
      System health checks
    Audience
      Backend engineers
      DevOps teams
      Large-scale systems

Things people build with this

USE CASE 1

Monitor error rates and slow requests across multiple backend services in real-time.

USE CASE 2

Set up alerts to catch performance degradation or system failures within seconds of occurrence.

USE CASE 3

Track application health metrics and transaction data across a distributed system with mixed technology stacks.

USE CASE 4

Diagnose production issues quickly using centralized dashboards instead of waiting for user complaints.

Tech stack

JavaHDFSCC++PythonGoNode.js

Getting it running

Difficulty · hard Time to first run · 1day+

Requires HDFS cluster setup, multiple language runtimes, and distributed service coordination to see meaningful monitoring data.

Use freely for any purpose including commercial. Keep the notice and disclose changes to the patent grant.

In plain English

CAT is a real-time application monitoring platform originally built by Meituan-Dianping (a major Chinese tech company). It solves the problem of knowing what's happening inside your software systems right now, tracking errors, slow requests, and performance metrics across all your services as they occur, not after the fact. The way it works: small client libraries embedded in your application code send monitoring data (transactions, events, heartbeats, metrics) to a central CAT server, which processes everything in near-real-time and displays dashboards and alerts. Because data processing completes within seconds of generation, your engineering team can spot and respond to problems almost immediately rather than discovering them from user complaints. CAT is designed for large-scale distributed systems, multiple services spread across many servers, and includes a high-availability setup to ensure the monitoring system itself doesn't become a point of failure. Client libraries are available for Java, C, C++, Python, Go, and Node.js, so teams with mixed technology stacks can use a single monitoring platform. You would use this if you're running backend services and need real-time visibility into performance, error rates, and system health. The server is written in Java and stores log data in HDFS (Hadoop's distributed file system).

Copy-paste prompts

Prompt 1
How do I set up CAT client libraries in my Java microservices to start sending monitoring data to a central CAT server?
Prompt 2
Show me how to configure CAT alerts so my team gets notified when error rates spike or response times exceed thresholds.
Prompt 3
What metrics should I track with CAT to get visibility into the health of my distributed backend system?
Prompt 4
How do I integrate CAT monitoring into a Node.js service alongside my existing Java services?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.