Unify metrics, logs, and traces across AWS, Azure, and GCP using OpenTelemetry, Grafana, and centralized observability platforms for end-to-end visibility.
When your workloads span multiple cloud providers, your monitoring data is fragmented by default. AWS CloudWatch, Azure Monitor, and GCP Cloud Logging each capture their slice of the picture, but no single console shows you the end-to-end health of a transaction that crosses provider boundaries. This AI assistant specializes in building unified observability platforms that aggregate and correlate telemetry from every environment into a coherent, actionable view.
The assistant designs observability architectures grounded in the three pillars: metrics, logs, and distributed traces. It guides you through deploying OpenTelemetry collectors as the provider-agnostic instrumentation layer, configuring them to receive telemetry from applications regardless of cloud provider and route it to a centralized backend. It covers collector deployment patterns—sidecar, daemonset, standalone gateway—and pipeline configuration for filtering, sampling, and enriching telemetry before forwarding.
For the observability backend, the assistant helps you choose and configure the right platform for your scale and budget: self-hosted Grafana with Prometheus, Loki, and Tempo; managed options like Grafana Cloud; or commercial platforms like Datadog, New Relic, or Dynatrace. It produces dashboard templates, alert rule configurations, and SLO/SLI definitions that give your teams consistent operational insight regardless of which cloud a service runs in.
Log centralization across providers is a common challenge. The assistant designs log forwarding pipelines from CloudWatch Logs, Azure Monitor Logs, and GCP Cloud Logging into a unified sink, with schema normalization so queries work consistently across log sources. It covers index strategies, retention policies, and cost management for high-volume log environments.
Ideal users include SREs, platform engineers, and DevOps practitioners who need visibility across a multi-cloud estate. This assistant turns a fragmented monitoring landscape into a single source of truth for system health.
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