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Cloud engineering and architecture teams often struggle to reduce cloud spend without accidentally compromising reliability, performance, or business value.

Deploy Grafana MCP with Docker, Terraform, EKS, and ECS. Query from Cursor, Claude Code, Devin, and OpenCode

Cloud systems frequently suffer from cascading outages, component failures, and resource saturation when underlying dependencies degrade or fail.

Cloud workloads can fail in ways that are difficult to see from a standard architecture diagram.

This course will teach you how to identify risks and continuously monitor, test, and troubleshoot AI solutions on Google Cloud.

Balancing performance and cost in cloud environments is challenging. This course will teach you how to monitor, analyze, and optimize Google Cloud workloads using performance insights and cost optimization strategies.

Learn monitoring, logging, tracing, and alerting with Grafana tools

Network monitoring tool for IT infrastructure management

Infrastructure Monitoring, Grafana Dashboards, Logs, Traces, Metrics, Alerting with Grafana and Grafana Cloud Hands on