Navigate the AWS observability landscape. Make informed decisions about monitoring, logging, and tracing services for your cloud workloads.
Quantitative data on system performance
Detailed event information
Transaction flows across infrastructure
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Core monitoring service for AWS resources and applications
Distributed tracing service for debugging and performance analysis
Automatic instrumentation and SLO monitoring for applications
Fully managed Prometheus-compatible monitoring
Fully managed Grafana service for data visualization
Search and analytics engine for log analysis
Start with your business KPIs and work backwards. Focus on metrics that directly impact your users and business outcomes rather than collecting all possible data.
Ensure comprehensive visibility across your entire workload - from end-user experience to backend infrastructure. Focus especially on service integrations.
Leverage automated anomaly detection and machine learning to baseline your applications and reduce manual threshold management for complex distributed systems.
Build observability into your development process from the start. Don't treat it as an afterthought - integrate it into your infrastructure as code and development workflows.
Ensure all observability signals (metrics, logs, traces) can be correlated using unique identifiers. This enables end-to-end visibility of user requests.
Balance observability needs with costs. Use appropriate retention periods, sampling strategies, and cost-effective storage options for different types of data.
Comprehensive guide covering all aspects of observability on AWS
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