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ScyllaDB Docs ScyllaDB Monitoring ScyllaDB Monitoring Stack

ScyllaDB Monitoring Stack¶

ScyllaDB Monitoring Stack is a full stack for ScyllaDB monitoring and alerting. The stack contains open source tools including Prometheus and Grafana, as well as custom ScyllaDB dashboards and tooling.

_images/monitor.png

The ScyllaDB Monitoring Stack consists of multiple components, wrapped in Docker containers:

  • prometheus - Collects and stores metrics

  • grafan-loki - Parses logs and generates metrics and alerts

  • alertmanager - Handles alerts

  • grafana - Dashboards server

A few optional components are used for additional services

  • grafana-image-renderer - Allows you to download a dashboard as an image.

  • Thanos sidecar - Allows a centralized Thanos server to read from the local Prometheus server.

High Level Architecture¶

_images/monitoring_stack1.png

We use Prometheus for metrics collection and storage, and to generate alerts. Prometheus collects Scylla’s metrics from ScyllaDB and the host metrics from the node_exporter agent that runs on the ScyllaDB server.

We use Loki for metrics and alerts generation based on logs, Loki gets the logs from rsyslog agents that run on each of the DB servers.

The alertmanager, receives alerts from Prometheus and Loki and distributes them to other systems like email and slack.

We use Grafana to display the dashboards. Grafana gets its data from Prometheus, the alertmanager and directly from ScyllaDB using CQL.

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On this page

  • ScyllaDB Monitoring Stack
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ScyllaDB Monitoring
  • 4.9
    • 4.9
    • 4.8
    • 4.7
    • 4.6
    • 4.5
    • 4.4
    • 4.3
    • 4.2
    • 4.1
    • 4.0
    • 3.10
    • 3.9
    • 3.8
    • 3.7
    • 3.6
    • 3.5
  • Introduction
  • Download and Install
    • Install
    • The start-all.sh script
    • Deploy without Docker
    • Docker Compose
    • System Recommendations
    • Using Thanos
  • User Guide
    • CQL Optimization Dashboard
    • Advisor
      • Some queries use ALLOW FILTERING
      • Some queries use Consistency Level: ALL
      • Some queries use Consistency Level: ANY
      • Some queries are not token-aware
      • Some SELECT queries are non-paged
      • Some queries are non-prepared
      • Compaction takes lots of memory and CPU
      • Some operation failed due to unsatisfied consistency level
      • I/O Errors can indicate a node with a faulty disk
      • Some operations failed on the replica side
      • CQL queries are not balanced among shards
      • Prepared statements cache eviction
      • System Overload
  • Procedures
    • Cloud Users Datadog integration
    • Datadog Integration
    • Alert Manager
      • Alerting
    • Adding and Modifying Dashboards
    • Upgrade Guides
      • Monitoring 4.x to 4.y
      • Monitoring 3.x to 4.y
      • Monitoring 3.x to 3.y
      • Monitoring 2.x to 3.y
      • Monitoring 2.x to 2.y
      • Monitoring 1.x to 2.x
  • Upgrade
    • Monitoring 4.x to 4.y
    • Monitoring 3.x to 4.y
    • Monitoring 3.x to 3.y
    • Monitoring 2.x to 3.y
    • Monitoring 2.x to 2.y
    • Monitoring 1.x to 2.x
  • Troubleshooting
    • Troubleshooting
    • Troubleshooting Guide for Scylla Manager and Scylla Monitor Integration
  • Reference
    • Support Matrix
    • Interfaces
  • GitHub Project
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Last updated on 04 May 2025.
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