Elastic APM: amplificação dos seus logs e métricas para proporcionar um panorama completo
0 likes454 views
Elastic APM provides comprehensive application performance monitoring solutions that enhance organizational capabilities to resolve problems quickly and effectively. It offers features like end-to-end monitoring, machine learning integration, and unified observability to improve metrics like MTTR. Deployment options are flexible, supporting various environments while also allowing easy integration with existing IT management processes.
Elastic APM: amplificação dos seus logs e métricas para proporcionar um panorama completo
- 1. Elastic APM Amping up your logs and metrics for the full picture Michael Yuan Principal Solutions Architect
- 3. 3 APM helps organizations monitor their application layer of the stack by providing detailed performance insights that help drive MTTR towards zero
- 4. Application performance monitoring Resolve problems faster •End-to-end app and service monitoring •Machine learning & distributed profiling •Root cause analysis •Easy and flexible deployment
- 5. Application Key Performance Indicators Bird’s-eye view of all your services
- 6. Optimize service for the business • Availability monitoring • Key performance indicators - latency, load, errors • Real users, front-end services, back-end services, microservices • Broad language and framework support End-to-end app and service monitoring
- 7. Service Maps Dependency map of all your services
- 8. Machine learning One-click integrations with machine learning from APM • Ability to create response time based ML jobs from APM ‒ Profiles response time to calculate anomalies ‒ Takes into account seasonality
- 9. Intelligent service maps Machine learning integrated health indicators on maps
- 10. Machine learning & distributed profiling Reduce MTTI / MTTR • Integrated machine learning / anomaly detection • Automatic dependency mapping • Service map intelligence
- 11. Distributed Tracing With support for open standards like OpenTelemetry, OpenTracing, and Jaeger
- 12. Unified observability Correlate trace data with logs and metrics data in context
- 13. Context aware real-time search Quickly tie data streams together for answers
- 14. Root cause analysis in context Solve problems faster • Distributed traces for application debugging – Open standards support • Unified observability – Metrics and logs in context – Diagnose infrastructure and/or application problems quickly • Powerful search to find ‘needles in the haystack’
- 15. Same Response, Different Experience What happens in the browser • What happens once that request reaches the end user’s device? • The impact of user experience on business outcomes • Third Party Javascript • Is it up? Or is it functioning?
- 17. Flexible deployment options On-premises, cloud, cloud native, multi-cloud Deploy instantly on AWS, Azure or Google Cloud Install a single package Elastic Cloud Elastic Cloud on Kubernetes Elastic Cloud Enterprise Centrally manage multiple deployments on your infra Self-Managed
- 18. Flexible agent deployment How it works & how to find info • Native libraries for 7 different languages ‒ Extensive instrumentation support across the different ecosystems inclusive of full stack technologies (front end to the back end) • Support for OpenTracing, Jaeger and OpenTelemetry
- 19. DevOps collaboration • Track the performance of applications with code deploys • Annotations on all APM charts available to quickly spot performance changes post a new deployment • Search filtering out versions Tie performance issues to deployments
- 20. ITSM collaboration Integrate into existing incident management processes
- 21. Thank you!