Learn how to use modern monitoring tools to track performance and reliability in this practical module. Explore types of monitoring, key metrics, alerts, and dashboards for real-time visibility. Understand how to design effective monitoring strategies, evaluate benefits, and select the right tools for different use cases. Build skills to optimize system health, detect issues early, and support data-driven operations.

Master Prometheus fundamentals to implement powerful monitoring and observability solutions. Learn Prometheus architecture, core components, key terminologies, and how it compares with Zabbix. Explore real-world monitoring case studies, configuration best practices, and UI usage. Gain hands-on experience configuring metric scraping and running Prometheus as a Docker container for scalable application monitoring.

Build advanced monitoring skills with Metrics and PromQL in this hands-on module. Learn metric types, exporters, relabeling, and Node Exporter setup for efficient system monitoring. Master PromQL fundamentals, aggregation, functions, and query optimization to detect patterns and anomalies. Apply practical demos and projects to monitor Apache server metrics and extract actionable insights using Prometheus.

Master instrumentation and alerting with Prometheus in this advanced monitoring module. Learn how to instrument applications, use client libraries, and implement recording rules for efficient metric processing. Configure alert rules, manage notifications with Alertmanager, and integrate Pushgateway for custom metrics. Gain hands-on experience through demos and projects to build proactive, reliable, and production-ready monitoring systems.

Master Grafana dashboards and data visualization for modern monitoring systems in this hands-on module. Learn Grafana features, installation, and data source integration with Prometheus. Build interactive dashboards, configure panels, and set up alerts for critical metrics. Gain practical experience using PromQL in Grafana and monitoring applications through real-world demos and projects.

Build strong centralized logging and monitoring skills with the ELK Stack in this comprehensive module. Learn Elasticsearch, Logstash, and Kibana architecture, log ingestion, indexing, and visualization. Explore structured logging, Filebeat integration, container logging, and Kafka pipelines. Gain hands-on experience creating dashboards, automating workflows, and configuring alerts for real-time, scalable, and enterprise-ready DevOps log management.