دانلود کتاب Cloud Observability in Action (MEAP v10)

فهرست مطالب :

Cloud Observability in Action MEAP V10
Copyright
Welcome
Brief contents
Chapter 1: End-to-end Observability Example
1.1 What is Observability?
1.2 Roles and Goals
1.3 Example Microservices App
1.4 Challenges and How Observability Helps
1.5 Summary
Chapter 2: Signal Types
2.1 Reference Example
2.2 Assessing Instrumentation Costs
2.3 Logs
2.3.1 Instrumentation
2.3.2 Telemetry
2.3.3 Costs and Benefits
2.3.4 Observability with Logs
2.4 Metrics
2.4.1 Instrumentation
2.4.2 Telemetry
2.4.3 Costs and Benefits
2.4.4 Observability with Metrics
2.5 Traces
2.5.1 Distributed Traces
2.5.2 Instrumentation
2.5.3 Telemetry
2.5.4 Costs and Benefits
2.5.5 Observability with Traces
2.6 Selecting Signals
2.7 Summary
Chapter 3: Sources
3.1 Selecting Sources
3.2 Compute-related Sources
3.2.1 Basics
3.2.2 Containers
3.2.3 Kubernetes
3.2.4 Serverless Compute
3.3 Storage-related Sources
3.3.1 Relational Databases and NoSQL Datastores
3.3.2 Filesystems and Object Stores
3.4 Network-related Sources
3.4.1 Network Interfaces
3.4.2 Higher-level Network Sources
3.5 Your Code
3.5.1 Instrumentation
3.5.2 Proxy Sources
3.6 Summary
Chapter 4: Agents & Instrumentation
4.1 Log Routers
4.1.1 Fluentd & Fluent Bit
4.1.2 Other Log Routers
4.2 Metrics Collection
4.2.1 Prometheus
4.2.2 Other Metrics Agents
4.3 OpenTelemetry
4.3.1 Instrumentation
4.3.2 Collector
4.4 Other Agents
4.5 Selecting An Agent
4.5.1 Security For and Of the Agent
4.5.2 Agent Performance and Resource Usage
4.5.3 Agent Non-Functional Requirements (NFRs)
4.6 Summary
Chapter 5: Back-end Destinations
5.1 Back-end Destinations Terminology
5.2 Back-end Destinations for Logs
5.2.1 Cloud Providers
5.2.2 Open Source Log Back-ends
5.2.3 Commercial Offerings for Log Back-ends
5.3 Back-end Destinations for Metrics
5.3.1 Cloud Providers
5.3.2 Open Source Metrics Back-ends
5.3.3 Commercial Offerings for Metrics Back-ends
5.4 Back-end Destinations for Traces
5.4.1 Cloud Providers
5.4.2 Open Source Traces Back-ends
5.4.3 Commercial Offerings for Traces Back-ends
5.5 Columnar Datastores
5.6 Selecting Back-End Destinations
5.6.1 Costs
5.6.2 Open Standards
5.6.3 Cardinality and Queries
5.7 Summary
Chapter 6: Front-end Destinations
6.1 Front-ends
6.1.1 Grafana
6.1.2 Kibana and OpenSearch Dashboards
6.1.3 Other Open Source Front-ends
6.1.4 Cloud Providers and Commercial Front-ends
6.2 All-In-Ones
6.2.1 CNCF Jaeger
6.2.2 CNCF Pixie
6.2.3 Zipkin
6.2.4 Apache Skywalking
6.2.5 SigNoz
6.2.6 Uptrace
6.2.7 Commercial Offerings
6.3 Selecting Front-ends and All-in-ones
6.4 Summary
Chapter 7: Cloud Operations
7.1 Incident Management
7.1.1 Health and Performance Monitoring
7.1.2 Handling the Incident
7.1.3 Learning from the Incident After The Fact
7.2 Alerting
7.2.1 Prometheus Alerting
7.2.2 Using Grafana for Alerting
7.2.3 Cloud Providers
7.3 Usage Tracking
7.3.1 Users
7.3.2 Costs
7.4 Summary
Chapter 8: Distributed Tracing
8.1 Intro and Terminology
8.1.1 Motivational Example
8.1.2 Terminology
8.1.3 Use Cases
8.2 Using Distributed Tracing to Troubleshoot a Microservices App
8.2.1 Example App Overview
8.2.2 Implementing the Example App
8.2.3 Happy Path in the Example App
8.2.4 Exploring a Failure in the Example App
8.3 Considerations
8.3.1 Sampling
8.3.2 Observability Tax
8.3.3 Traces vs. Metrics vs. Logs
8.4 Summary
Chapter 9: Developer Observability
9.1 Continuous Profiling
9.1.1 The Humble Beginnings
9.1.2 Common Technologies
9.1.3 Open Source CP Tooling
9.1.4 Commercial CP Offerings
9.1.5 Using CP to Assess Resource Usage
9.2 Developer Productivity
9.2.1 Challenges
9.2.2 Tooling
9.3 Considerations
9.3.1 Challenges
9.4 Summary
Chapter 10: Service Level Objectives
10.1 The Fundamentals of SLOs
10.1.1 Types of Services
10.1.2 Service Level Indicator
10.1.3 Service Level Objective
10.1.4 Service Level Agreement
10.2 Implementing SLOs
10.2.1 Highl-level Example
10.2.2 Using Prometheus to Implement SLOs
10.2.3 Commercial SLO Offerings
10.3 Considerations
10.4 Summary
Chapter 11: Signal Correlation
11.1 Correlation Fundamentals
11.1.1 Correlation With OpenTelemetry
11.1.2 Correlating Traces
11.1.3 Correlating Metrics
11.1.4 Correlating Logs
11.1.5 Correlating Profiles
11.2 Using Prometheus, Jaeger, and Grafana to Implement Signal Correlation
11.2.1 Metrics-Traces Correlation Example Setup
11.2.2 Using Metrics-Traces Correlation
11.3 Signal Correlation Support in Commercial Offerings
11.4 Considerations
11.4.1 Early Days
11.4.2 Signals
11.4.3 User Experience (UX)
11.5 Summary
Notes