AI-Powered Cassandra®
Control Plane

Connect the Cassandra clusters you already run, wherever they live, and manage them through AxonOps.

Try Demo Sandbox Start Free
See how the AxonOps AI Engine works
AxonOps Cassandra AI recommendations

Why your data layer needs a control plane

Cassandra is designed for availability and linear scalability. It handles the hard problems at the data layer so your applications can grow without limits. But operating Cassandra well means coordinating repairs, backups, rolling restarts, schema changes, and capacity decisions across clusters that may span regions and teams. Without a dedicated control plane, that coordination fragments across scripts, runbooks, and tribal knowledge. AxonOps provides the unified operational surface for observability, maintenance automation, and governance, so your team can focus on what Cassandra does best rather than managing the tooling around it.

For Developers

Ask questions in natural language and investigate query latency, schema changes, and cluster behaviour against live Cassandra state, so engineers can resolve issues faster without waiting for a separate operational handoff.

For Operators

Run Cassandra with AI-assisted analysis, adaptive repair, backup automation, and operational controls that help SRE and DBA teams diagnose incidents faster and keep clusters stable under load.

AI

AI-assisted Cassandra operations

Ask questions in natural language and get answers backed by your live cluster state. AI-assisted analysis reasons over your metrics, logs, and configuration, with deep training on Cassandra source code and documentation, so responses reflect how Cassandra actually behaves instead of generic advice.

  • Natural-language chat over live metrics, logs, and cluster configuration
  • AI-assisted root cause analysis that shortens MTTR for on-call engineers
  • AI trained on Cassandra source code and documentation
  • AI-guided investigation grounded in live cluster context
Learn more
ChatRCARecommendations
Observe

Simplify Cassandra visibility

Give operators one Cassandra-native surface for health, performance, logs, and service checks.

  • High-resolution Cassandra and infrastructure metrics
  • Correlated metrics and logs in one workflow
  • Service checks for nodes, ports, and system health
  • Granular alert routing across metrics, logs, backups, repairs, and all operations
Learn more
MetricsLogsService ChecksAlert Routes
Protect

Backup and recovery that meets enterprise standards

Treat recovery as an operational workflow, not a one-off script. Policy-driven backup, full backup history, snapshot restore, and point-in-time recovery in one platform, configured in seconds for higher recovery confidence.

  • Set up backup and restore workflows in seconds
  • Policy-driven backup scheduling with full execution history
  • Snapshot and point-in-time restore
  • High confidence recovery readiness for enterprise RPO and RTO targets
Learn more
BackupRestorePoint-in-Time
Repair

The most advanced repair system for Cassandra

Adaptive and scheduled repair that maintains data consistency without impacting query performance. Repair velocity is continuously recalibrated based on cluster load and gc_grace_seconds.

  • Adaptive Repair runs slowly by design, keeping query performance unaffected
  • Repair velocity regulated by cluster load with gc_grace_seconds awareness
  • Scheduled repair with cron-based execution and configurable parallelism
  • Full repair history and intelligent failure alerting
Learn more
Adaptive RepairScheduled RepairRepair History
Operate

Automate Cassandra maintenance safely

Use adaptive repair and controlled maintenance flows to reduce operational risk and repetitive toil.

  • Adaptive repair aligned to cluster load
  • Nodetool scheduler for automated command execution
  • Rolling restart support for safer changes
  • Full audit log of every operational action across clusters
Learn more
Rolling RestartNodetool
Open

Stay on open Cassandra, avoid lock-in

Keep full control over architecture and operations while integrating with your existing stack.

  • Built for Cassandra operations
  • Portable operating model
  • Manage Cassandra across AWS, Azure, GCP, on-premises, Kubernetes, and hybrid environments
  • Works with existing alerting and incident tooling
Stay on open Cassandra, avoid lock-in
Operational Impact

Measurable outcomes for Cassandra teams

Faster incident detection and diagnosis

High-resolution metrics and correlated logs surface issues in seconds, cutting mean time to detect and resolve.

Higher confidence in recovery readiness

Policy-driven backups with execution history and point-in-time restore so you know recovery works before you need it.

Lower repetitive maintenance overhead

Adaptive repair, nodetool scheduling, and rolling restarts run on autopilot, freeing teams from manual toil.

Consistent operations across DBA and SRE teams

One shared platform with the same dashboards, alerts, and operational workflows for every team member.

More on Cassandra operations

Adaptive Regulation of Cassandra Repair

Adaptive Regulation of Cassandra Repair

A technical explanation of Cassandra repair load, token-range segmentation, and how adaptive regulation of repair velocity and parallelism keeps repair within gc_grace_seconds without overwhelming the cluster.
Cassandra Monitoring Best Practice Series 1: Diagnosing High Latency

Cassandra Monitoring Best Practice Series 1: Diagnosing High Latency

The first post in a Cassandra monitoring best practice series, focused on diagnosing high latency using system, JVM, threadpool, coordinator, and table-level metrics.
Cassandra Monitoring Tools Comparison 2026

Cassandra Monitoring Tools Comparison 2026

An educational guide to Cassandra monitoring tools in 2026, covering metrics depth, alerting, routing, and cost trade-offs so engineers can run Cassandra effectively.

See AxonOps live on Cassandra

Open Demo Sandbox Book an Expert
AxonOps Cassandra dashboard