Application Observability with Elastic
Real-time metrics, logs, errors, traces, root cause analysis, and anomaly detection: : Real-time metrics, logs, errors, traces, root cause analysis, and anomaly detection
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This book teaches an APM engineer how to monitor software services and applications in real time, including collecting detailed performance data on the response time for incoming requests, database queries, cache calls, and external HTTP requests. The book helps readers to explore the architecture and components of the Elastic APM stack. It also teaches you how to architect, deploy, and configure the Elastic APM stack to meet your specific requirements. The book focuses on monitoring and observability for applications and infrastructures built with Containers and Kubernetes. The book helps you...
This book teaches an APM engineer how to monitor software services and applications in real time, including collecting detailed performance data on the response time for incoming requests, database queries, cache calls, and external HTTP requests. The book helps readers to explore the architecture and components of the Elastic APM stack. It also teaches you how to architect, deploy, and configure the Elastic APM stack to meet your specific requirements. The book focuses on monitoring and observability for applications and infrastructures built with Containers and Kubernetes. The book helps you configure APM capabilities like synthetic transaction and real-user transaction monitoring, integration with open-source tools like Prometheus, and data collection and processing using Logstash. Additionally, the book discusses how to use the Kibana dashboard features provided by Elastic APM in conjunction with alerting and dashboards to analyze the application's performance. Finally, the book teaches Site Reliability Engineers (SREs) how to meet service-level objectives through indicators such as availability, latency, quality, and saturation. TABLE OF CONTENTS 1. Introduction to Application Observability 2. Elastic Observability Features 3. Elastic Observability Deployment Architecture 4. Deployment of the Elastic Observability Platform 5. Use Case. Observability for a Containerized Java Application 6. Use Case. Observability for a Kubernetes-based Application 7. Observability for a .Net Core Application 8. Elastic Observability. User Experience, Uptime, and Synthetic Monitoring 9. Logstash Pipelines in Elastic Observability 10. Prometheus Integration with the Elastic Observability Platform 11. Machine Learning, Alerting, and Dashboards
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