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Artículo: AMZ-B0G2YRR98F
GRAYLOG FOR DEVOPS AND SRE: CLOUD-NATIVE LOG ANALYTICS: Monitor Kubernetes, Microservices, and Distributed Systems. Real-Time Troubleshooting, Performance Analysis, and Production Observability
Format:
Kindle
Detalles del producto
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En stock
En stock
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0.84 kg
0.84 kg
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No
No
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Nuevo
Nuevo
Producto de
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Turn Graylog into a production ready log analytics platform for your Kubernetes, microservices and SRE teams.As your systems move to containers, multiple clusters and distributed services, log files on individual servers stop being useful. Incidents start with vague reports and scattered clues, and traditional tools make it hard to connect requests across services, clusters and environments.This book shows you how to design, deploy and operate Graylog as the central log layer in a modern observability stack. You will learn concrete patterns for ingesting, parsing, enriching and querying logs so that on call engineers can move from symptom to root cause with confidence, even under pressure.Design Graylog architecture end to end, including message flow, index sets, MongoDB metadata and OpenSearch storage for predictable performance.Ingest logs from Linux, Windows and network devices using GELF, syslog, Beats, HTTP and Kafka, with Sidecar managing Filebeat and Winlogbeat collectors at scale.Collect Kubernetes and container logs with Fluent Bit and Filebeat DaemonSets, use structured JSON logging and correlation IDs, and receive OpenTelemetry logs through the OTEL collector.Build pipelines, streams and lookup based enrichment so logs are parsed, routed and enriched with asset data and IP intelligence before they reach dashboards and alerts.Create searches and dashboards that match real incident diagnosis, health checks, SLOs and error budgets, and generate scheduled reports for reliability reviews and stakeholders.Define events, alerts and investigations with runbook style procedures, and send notifications through email, webhooks, PagerDuty and Opsgenie for practical on call workflows.Integrate Graylog with Prometheus, Grafana and tracing systems, then use request and trace correlation in Graylog searches and dashboards for trace aware troubleshooting.Plan index sets, shard strategies, rotation, retention, data tiering and archiving so costs stay under control while meeting compliance and audit ready logging requirements.Tune and scale Graylog and OpenSearch for high volume environments, design high availability and disaster recovery patterns, and learn from real outage and recovery case studies.Establish logging standards and contracts for application teams, build reusable content packs and templates, evolve toward OpenTelemetry native logging and operate Graylog as a product with SLIs, ownership and a roadmap.This is a code heavy, configuration focused guide, with working examples (JSON, YAML, Python, Graylog pipelines and more) that you can adapt directly to your clusters and services.Grab your copy today and build a log analytics platform that your DevOps and SRE teams rely on in production.
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