Visão Geral
O curso Monitoring ScyllaDB with Prometheus and Grafana oferece uma introdução completa ao monitoramento de clusters ScyllaDB usando as poderosas ferramentas Prometheus e Grafana. Os participantes aprenderão como configurar e gerenciar um sistema de monitoramento eficiente que coleta, exibe e alerta sobre métricas de desempenho, otimizando a operação de clusters de dados em tempo real. Este curso é ideal para profissionais que desejam aprimorar a confiabilidade e a performance de suas infraestruturas ScyllaDB com monitoramento avançado e visualização de dados.
Conteúdo Programatico
Introduction to ScyllaDB Monitoring
- Overview of ScyllaDB architecture and metrics
- Importance of monitoring distributed databases
- Key metrics in ScyllaDB (latency, throughput, resource utilization)
Setting Up Prometheus for ScyllaDB
- Installing Prometheus
- Configuring Prometheus for ScyllaDB data collection
- Setting up Prometheus node exporter
- Understanding Prometheus metrics scraping and storage
Setting Up Grafana for Visualization
- Installing and configuring Grafana
- Connecting Grafana to Prometheus data sources
- Introduction to Grafana dashboards and panels
Creating ScyllaDB Monitoring Dashboards
- Key dashboards for ScyllaDB clusters
- Visualizing CPU, memory, disk I/O, and network usage
- Monitoring latency and query performance
- Customizing dashboards for specific monitoring needs
Setting Up Alerts and Notifications in Grafana
- Creating alert rules for critical metrics
- Configuring notifications via email, Slack, or other channels
- Best practices for alert thresholds and escalation
Advanced Metrics and Troubleshooting Techniques
- Analyzing read and write performance bottlenecks
- Monitoring node health and cluster availability
- Troubleshooting common ScyllaDB issues with metrics
Prometheus and Grafana Best Practices for ScyllaDB
- Optimizing Prometheus retention and storage configurations
- Scaling Prometheus and Grafana for large clusters
- Security and access control in Grafana dashboards
Case Studies and Practical Scenarios
- Case study on real-time monitoring of large ScyllaDB clusters
- Practical exercises in setting up and customizing monitoring for performance