Ren amahoshi (11 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - SELF-HOSTED AI AUTOMATION WITH n8n AND MCP is a practical guide to building secure, production-ready AI automation systems on infrastructure you control. Learn how to deploy n8n with Docker, PostgreSQL, Redis, workers, HTTPS, and secure credentials; build AI agents with local and cloud LLMs; create MCP servers and tools; design private RAG systems with Ollama, Qdrant, and pgvector; and connect APIs, OAuth, observability, security, and human approval workflows.You will also learn how to scale n8n, protect sensitive data, prevent unsafe AI actions, monitor workflows with OpenTelemetry and Grafana, troubleshoot failures, and recover from outages.>Ideal for DevOps engineers, SREs, platform engineers, automation professionals, developers, security practitioners, and advanced self-hosters who want to build private, secure, and reliable AI automation systems.…

Taschenbuch. Zustand: Neu. Neuware - Build, operate, and troubleshoot a complete production observability platform with Grafana and the modern cloud-native telemetry stack. Production Observability with Grafana is a practical, operator-focused guide for DevOps engineers, SREs, platform teams, Kubernetes administrators, cloud engineers, and advanced homelab users who want to move beyond basic dashboards and build a full production-ready observability environment.>Rather than teaching isolated features, the book follows a practical workflow: PLAN ? BUILD ? INSTRUMENT ? OBSERVE ? BREAK ? INVESTIGATE ? FIX ? HARDEN ? VALIDATE>Inside the book, you will learn how to: Design a modern Grafana-centered observability architectureCollect production metrics with Prometheus and Grafana AlloyBuild efficient PromQL queries and reusable Grafana dashboardsScale metrics with Grafana Mimir and object storageCentralize and investigate logs with Grafana Loki and LogQLImplement distributed tracing with Tempo and OpenTelemetryBuild OTLP telemetry pipelines with Grafana AlloyAdd continuous profiling with Grafana PyroscopeCorrelate metrics, logs, traces, and profiles for root-cause analysisMonitor Kubernetes clusters, nodes, Pods, workloads, and applicationsDeploy observability components with HelmSecure Grafana with authentication, RBAC, TLS, teams, folders, and service accountsManage dashboards and configuration with Git, Git Sync, Terraform, and GitOpsBuild production alerts, notification policies, SLIs, SLOs, and error budgetsControl metric cardinality, log volume, trace sampling, retention, and observability costDesign for high availability, backup, disaster recovery, and operational resilienceDiagnose missing telemetry, failed Alloy pipelines, remote-write problems, Loki ingestion failures, trace gaps, and profiling issues>If you want to go beyond simply creating Grafana dashboards and learn how to build a complete, secure, scalable, and operationally useful observability platform, Production Observability with Grafana provides the practical path from first architecture to production operations. …