SRE with Java Microservices - Helion

ebook

Autor: Jonathan Schneider
ISBN: 978-14-920-7387-1
stron: 316, Format: ebook
Data wydania: 2020-08-27
Księgarnia: Helion

Cena książki: 186,15 zł (poprzednio: 216,45 zł)
Oszczędzasz: 14% (-30,30 zł)

Osoby, które kupiły tę książkę, wybierały także »

In a microservices architecture, the whole is indeed greater than the sum of its parts. But in practice, individual microservices can inadvertently impact others and alter the end user experience. Effective microservices architectures require standardization on an organizational level with the help of a platform engineering team.

This practical book provides a series of progressive steps that platform engineers can apply technically and organizationally to achieve highly resilient Java applications. Author Jonathan Schneider covers many effective SRE practices from companies leading the way in microservices adoption. You’ll examine several patterns discovered through much trial and error in recent years, complete with Java code examples.

Chapters are organized according to specific patterns, including:

Application metrics: Monitoring for availability with Micrometer
Debugging with observability: Logging and distributed tracing; failure injection testing
Charting and alerting: Building effective charts; KPIs for Java microservices
Safe multicloud delivery: Spinnaker, deployment strategies, and automated canary analysis
Source code observability: Dependency management, API utilization, and end-to-end asset inventory
Traffic management: Concurrency of systems; platform, gateway, and client-side load balancing

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Spis treści

SRE with Java Microservices eBook -- spis treści

Foreword
Preface
- My Journey
- Conventions Used in This Book
- OReilly Online Learning
- How to Contact Us
- Acknowledgments
1. The Application Platform
- Platform Engineering Culture
- Monitoring
  - Monitoring for Availability
    - Googles approach to SLOs
    - A less formal approach to SLOs
  - Monitoring as a Debugging Tool
  - Learning to Expect Failure
  - Effective Monitoring Builds Trust
- Delivery
- Traffic Management
- Capabilities Not Covered
  - Testing Automation
  - Chaos Engineering and Continuous Verification
  - Configuration as Code
- Encapsulating Capabilities
  - Service Mesh
- Summary
2. Application Metrics
- Black Box Versus White Box Monitoring
- Dimensional Metrics
- Hierarchical Metrics
- Micrometer Meter Registries
- Creating Meters
- Naming Metrics
  - Common Tags
- Classes of Meters
- Gauges
- Counters
- Timers
  - Count Means Throughput
  - Count and Sum Together Mean Aggregable Average
  - Maximum Is a Decaying Signal That Isnt Aligned to the Push Interval
  - The Sum of Sum Over an Interval
  - The Base Unit of Time
  - Using Timers
  - Common Features of Latency Distributions
  - Percentiles/Quantiles
  - Histograms
  - Service Level Objective Boundaries
- Distribution Summaries
- Long Task Timers
- Choosing the Right Meter Type
- Controlling Cost
- Coordinated Omission
- Load Testing
- Meter Filters
  - Deny/Accept Meters
  - Transforming Metrics
  - Configuring Distribution Statistics
- Separating Platform and Application Metrics
- Partitioning Metrics by Monitoring System
- Meter Binders
- Summary
3. Debugging with Observability
- The Three Pillars of Observabilityor Is It Two?
  - Logs
  - Distributed Tracing
  - Metrics
  - Which Telemetry Is Appropriate?
- Components of a Distributed Trace
- Types of Distributed Tracing Instrumentation
  - Manual Tracing
  - Agent Tracing
  - Framework Tracing
  - Service Mesh Tracing
  - Blended Tracing
- Sampling
  - No Sampling
  - Rate-Limiting Samplers
  - Probabilistic Samplers
  - Boundary Sampling
  - Impact of Sampling on Anomaly Detection
- Distributed Tracing and Monoliths
- Correlation of Telemetry
  - Metric to Trace Correlation
- Using Trace Context for Failure Injection and Experimentation
- Summary
4. Charting and Alerting
- Differences in Monitoring Systems
- Effective Visualizations of Service Level Indicators
  - Styles for Line Width and Shading
  - Errors Versus Successes
  - Top k Visualizations
  - Prometheus Rate Interval Selection
- Gauges
- Counters
- Timers
- When to Stop Creating Dashboards
- Service Level Indicators for Every Java Microservice
  - Errors
  - Latency
    - Server (inbound) requests
    - Client (outbound) requests
  - Garbage Collection Pause Times
    - Max pause time
    - Proportion of time spent in garbage collection
    - The presence of any humongous allocation
  - Heap Utilization
    - Rolling count occurrences of heap space filling up
    - Low pool memory after collection
    - Low total memory
  - CPU Utilization
  - File Descriptors
  - Suspicious Traffic
  - Batch Runs or Other Long-Running Tasks
- Building Alerts Using Forecasting Methods
  - Naive Method
  - Single-Exponential Smoothing
  - Universal Scalability Law
- Summary
5. Safe, Multicloud Continuous Delivery
- Types of Platforms
- Resource Types
- Delivery Pipelines
- Packaging for the Cloud
  - Packaging for IaaS Platforms
  - Packaging for Container Schedulers
- The Delete + None Deployment
- The Highlander
- Blue/Green Deployment
- Automated Canary Analysis
  - Spinnaker with Kayenta
  - General-Purpose Canary Metrics for Every Microservice
    - Latency
    - Error ratio
    - Heap saturation
    - CPU utilization
- Summary
6. Source Code Observability
- The Stateful Asset Inventory
- Release Versioning
  - Maven Repositories
  - Build Tools for Release Versioning
- Capturing Resolved Dependencies in Metadata
- Capturing Method-Level Utilization of the Source Code
  - Structured Code Search with OpenRewrite
    - Creating a Rewrite AST from Java source code
    - Performing a search with Rewrite
    - Refactoring Java source
- Dependency Management
  - Version Misalignments
  - Dynamic Version Constraints
  - Unused Dependencies
  - Undeclared Explicitly Used Dependencies
- Summary
7. Traffic Management
- Microservices Offer More Potential Failure Points
- Concurrency of Systems
- Platform Load Balancing
- Gateway Load Balancing
  - Join the Shortest Queue
  - Instance-Reported Availability and Utilization
  - Health Checks
  - Choice of Two
  - Instance Probation
  - Knock-On Effects of Smarter Load Balancing
- Client-Side Load Balancing
- Hedge Requests
- Call Resiliency Patterns
  - Retries
  - Rate Limiters
  - Bulkheads
  - Circuit Breakers
  - Adaptive Concurrency Limits
  - Choosing the Right Call Resiliency Pattern
  - Implementation in Service Mesh
  - Implementation in RSocket
- Summary
Index