Elastic Observability
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George Kobar, a community advocate for Capgemini, shared information on observability at a Meetup for New Application Development. The document defines observability as the combination of monitoring, metrics, and logging. It presents a typical observability stack that collects data from various sources to provide visibility for development, operations, and business teams through tools that analyze application performance, uptime, logs, metrics, and business KPIs. The stack advocates an elastic approach to storing all operational data together in Elasticsearch for unified access and analysis.
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Log-Based Anomaly Detection: Enhancing System Reliability with Machine LearningMohammed BEKKOUCHEElastic Observability
- 1. George Kobar Sr Community Advocate @GeorgeKobar Capgemini Meetup
- 4. This is Fine Source: https://sysdig.com/blog/sysdig-2019-container-usage-report/
- 7. Development Team Ops: Log Monitoring Availability Response Time Uptime Tool Ops: Infra Monitoring Web Logs App Logs Database Logs Container Logs Log Tool Real User Mon. Txn Perf Mon. Dist. Tracing APM Tool Ops: Service Monitoring Container Metrics Host Metrics Database Metics Network Metrics Storage Metrics Metrics Tool Business KPIs Business Tool Business Team Typical observability stack
- 8. Dev, Ops and Business Teams Elastic approach to observability APM Data Uptime DataMetrics DataLog Data Business Data All your operational data in a single powerful datastore — Elasticsearch
- 9. DEMO!