Monitoring Concepts

Internal

• Monitoring
• Monitoring Tools

Observability

The art of understanding the dynamic state of your systems, service and infrastructure. Observability data consists of metrics, traces, logs, metadata, exceptions and even real-time events. Observability analysis leverages machine learning and heuristic techniques to generate insights from data.

TO PROCESS:

• https://docs.honeycomb.io/getting-started/learning-about-observability/
• https://www.infoq.com/news/2018/06/observability-microservices
• https://blog.takipi.com/system-observability-making-your-production-environment-great-again/
• Tracing

Observability

• metrics-based monitoring
• logging (great for debugging)
• tracing

• https://github.com/OpenObservability/OpenMetrics

• https://opentelemetry.io/

Golden Signals

https://www.infoq.com/articles/monitoring-SRE-golden-signals

Rate, errors, latency, saturation and utilization.

Metric

Aggregated Metrics

Not all metrics are stored.

Raw Metrics

All metrics are stored, so individual events can be identified.

Examples

• Prometheus Metrics

Organizatorium

• https://www.dropwizard.io/en/latest/
• Micrometer