Apache Cassandra Performance Monitoring

Troubleshoot Cassandra Performance Issues Faster

Easily identify slow-running Cassandra queries, bottlenecks, error rates, and more with end-to-end application tracing, full latency breakdowns, and stack traces
Collect query throughput, query execution performance, connections, buffer pool usage metrics and more
Gain critical visibility into your database and application interdependencies with real-time service maps
Analyze slow query logs quickly with an intuitive logging platform and auto-pattern recognitions

Monitor your Apache Cassandra databases, cloud services, containers, and serverless functions all in one place with Datadog’s 800+ vendor-backed integrations
Visualize highly-granular data and custom metrics in real time
Create custom, drag-and-drop dashboards within seconds
Seamlessly navigate between your logs, infrastructure metrics, and application traces all within 1 platform

Set up recommended alerts with 1 click for anomalies and outliers that account for daily, weekly, and seasonal fluctuations
Proactively prevent outages and errors in the future by alerting on metric forecasts
Combine alerts into composite alerts for greater granularity and stronger signal to reduce the noise
Automatically detect unanticipated outliers, anomalies, and errors with Watchdog

Diagnose root causes faster and see anomalous behavior across all your systems by correlating query metrics with database and infrastructure metrics
Expand your team’s access to query metrics without providing explicit database access to every user
Keep sensitive data secure with automatic obfuscation of PII in explain plans and query metrics
Scale DBM usage with your needs and manage a large number of databases securely

Track tens of thousands of infrastructure metrics out-of-the-box
Deploy and start monitoring without any need for professional services or extensive training
Promote adoption across your organization with our intuitive user interface that requires no query language and can be used by anyone