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Enabling Microservice Success - Helion

Enabling Microservice Success
ebook
Autor: Sarah Wells
ISBN: 9781098130824
stron: 450, Format: ebook
Data wydania: 2024-03-26
Księgarnia: Helion

Cena książki: 173,84 zł (poprzednio: 238,14 zł)
Oszczędzasz: 27% (-64,30 zł)

Dodaj do koszyka Enabling Microservice Success

Microservices can be a very effective approach for delivering value to your organization and to your customers. If you get them right, microservices help you to move fast by making changes to small parts of your system hundreds of times a day. But if you get them wrong, microservices will just make everything more complicated.

In this book, technical engineering leader Sarah Wells provides practical, in-depth advice for moving to microservices. Having built her first microservice architecture in 2013 for the Financial Times, Sarah discusses the approaches you need to take from the start and explains the potential problems most likely to trip you up. You'll also learn how to maintain the architecture as your systems mature while minimizing the time you spend on support and maintenance.

With this book, you will:

  • Learn the impact of microservices on software development patterns and practices
  • Identify the organizational changes you need to make to successfully build and operate this architecture
  • Determine the steps you must take before you move to microservices
  • Understand the traps to avoid when you create a microservices architecture—and learn how to recover if you fall into one

Dodaj do koszyka Enabling Microservice Success

 

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Spis treści

Enabling Microservice Success eBook -- spis treści

  • Foreword
  • Preface
    • Why I Wrote This Book
    • Who Should Read This Book
    • Navigating This Book
      • Part I: Context
      • Part II: Organizational Structure and Culture
      • Part III: Building and Operating
      • Appendixes
      • Case Studies
    • Conventions Used in This Book
    • OReilly Online Learning
    • How to Contact Us
    • Acknowledgments
  • I. Context
  • 1. Understanding Microservices
    • Defining the Microservices Architectural Style
      • A Suite of Services
      • Each Running in Its Own Process
      • Communicating with Lightweight Mechanisms
      • Built Around Business Capabilities
      • Independently Deployable
      • Small
      • With a Bare Minimum of Centralized Management
      • Heterogeneous
    • Forerunners and Alternatives
      • The Monolith
      • Modular Monoliths
      • Service-Oriented Architecture
    • The Microservices Ecosystem
      • Infrastructure as Code
      • Continuous Delivery
      • The Public Cloud
      • New Deployment Options
        • Containers
        • Orchestration
        • Platform-as-a-service options
        • Serverless
        • Making your choice
      • DevOps
      • Observability
    • Advantages of Microservices
      • Independently Scalable
      • Robust
      • Easy to Release Small Changes Frequently
      • Support Flexible Technology Choices
    • Challenges of Microservices
      • Latency
      • Estate Complexity
      • Operational Complexity
      • Data Consistency
      • Security
      • Finding the Right Level of Granularity
      • Handling Change
      • Require Organizational Change
      • Change the Developer Experience
    • In Summary
  • 2. Effective Software Delivery
    • Regularly Delivering Business Value
      • High Deployment Frequency
      • Short Lead Time for Changes
      • Running Experiments
      • Separating Deploying Code from Releasing Functionality
      • Handling Work That Goes Across Team Boundaries
    • Adapting to Changing Priorities
    • Maintaining Appropriate Service Levels
      • When a Release Goes Wrong
      • Knowing When Something Important Is Broken
      • Restore Some Level of Service Quickly
      • Avoid Failure Cascades
    • Spending Most of Your Time on Meaningful Work
    • Not Having to Start Again
    • Keeping Risk at an Acceptable Level
    • How Microservices Measure Up
    • In Summary
  • 3. Are Microservices Right for You?
    • Reasons to Choose Microservices
      • Scaling the Organization
      • Developer Experience
      • Separating Out Areas with Compliance and Security Requirements
      • Scaling for Load
      • Increasing Robustness
      • Increasing Flexibility
    • Conditions for Success
      • Domain Understanding
      • Products Not Projects
      • Leadership Support
      • Teams That Want Autonomy
      • Processes That Enable Autonomy
      • Technical Maturity
    • Managing Change
    • Sticking with a Monolithic Architecture
      • Enable Zero-Downtime Deployments
      • Build a Modular Monolith
    • Everything Is Distributed Now
      • The Rise of Cloud Native
      • SaaS Makes Sense
    • Recommendations
      • Starting from Scratch
      • Replacing an Existing Monolith
      • Measuring Success
    • In Summary
  • II. Organizational Structure and Culture
  • 4. Conways Law and Finding the Right Boundaries
    • Conways Law
    • The Inverse Conway Maneuver
    • Possible Boundaries
      • Business Domains
        • Data
      • Locations
      • Technologies
      • Compliance
      • Tolerance for Failure
      • Frequency of Changes
      • Recommendations
    • Identifying When Boundaries Are Wrong
    • In Summary
  • 5. Building Effective Teams
    • Organizational Culture
      • Open
      • Learning
      • Empowering
      • Optimized for Change
      • The Westrum Model
    • Effective Teams
      • Motivated through Autonomy, Mastery, and Purpose
      • Aligned to Business Domain
      • Appropriately Sized
      • Cross-Functional and T-shaped
      • Strong Ownership
      • Long Lived
      • Sustainable Cognitive Load
      • High Trust and High Psychological Safety
      • Part of a Group
    • Optimizing for Flow
      • Stream-Aligned
      • Enabling
      • Complicated Subsystem
      • Platform
    • In Summary
  • 6. Enabling Autonomy
    • What Is Autonomy?
      • Why Does Autonomy Matter?
      • Limits to Autonomy
    • The Right Amount of Communication
    • Interaction Styles
      • Collaboration
      • X-as-a-Service
      • Facilitating
    • Ways of Working That Support Autonomy
      • Aligning on Outcomes
      • Light Touch Governance
      • Trust but Verify
      • Agreeing and Aligning on Technology
      • The Role of the Individual Contributor
      • Minimum Viable Competencies
      • Making Space for Learning
    • Responsibilities of Autonomous Teams
      • Active Ownership
      • Communication and Cooperation
      • Compliance with Standards
      • Maintaining a Team Page
    • In Summary
  • 7. Engineering Enablement and Paving the Road
    • Whats in a Name?
    • Building a Platform
      • Platform Services
      • Organization-Level Concerns
        • Infrastructure efficiency and costs
        • Security and compliance
        • Organization-wide changes
      • Building the Thinnest Viable Platform
      • Build for the Needs of the Majority
      • Platform as a Product
    • Beyond the Platform
      • Vendor Engineering
      • APIs, Templates, Libraries, and Examples
      • A Service Catalog
      • Insights
    • Paving the Road
      • What Capabilities to Include
      • Make It Optional
      • Keep It Small
      • How to Go Off Road
      • Bringing the Treasure Back
      • Internal Developer Portals
    • Building a Platform People Actually Use
      • Making Sure What You Build Meets a Need
      • Market It
      • Look for Signs You Are Getting It Wrong
    • Principles for Building a Paved Road
      • Optional
      • Provides Value
      • Self-Service
      • Owned and Supported
      • Easy to Use
      • Guides People to Do the Right Thing
      • Composable and Extendable
    • Measuring Impact
    • When to Invest in Engineering Enablement
    • In Summary
  • 8. Ensuring You Build It, You Run It
    • Why Microservices Implies DevOps
      • Release on Demand
      • Work on Operational Features
    • Building Things Differently
      • Good Runbooks
      • Running on Someone Elses Servers
      • Getting Comfortable in Production
    • Supporting Your System in Production
      • Assign Dedicated In-Hours Ops Support
      • Improve Alerts and Documentation
      • Identify the Haunted Forests
      • Practice
    • Out-of-Hours Support
      • Allow People to Opt Out
      • Formal Rotas Versus Best Endeavors
      • Make Sure Calls Are Rare
      • Only for Critical Systems
      • Provide Support and Guidance
    • Incident Management
      • Blameless Culture
      • Raising an Incident
      • Roles to Assign
      • During the Incident
      • After the Incident
      • Learning from Incidents
    • In Summary
  • III. Building and Operating
  • 9. Active Service Ownership
    • Responding to the Log4Shell Vulnerability
    • A Counter Example: Equifax and a Struts Vulnerability
    • Ownership During Active Development
      • Strong Ownership
      • Weak Ownership
      • Collective Ownership
    • Once a Service Is Feature Complete
      • No Ownership
      • Nominal Ownership
      • Active Ownership
    • What Active Ownership Means
      • Code Stewardship
      • Upgrades and Patching
      • Migrations
      • Production Support
      • Documentation
    • Knowing Your Estate
      • Your Own Software
      • Dependencies
      • Third-Party Software
    • What You Need from a Service Catalog
      • Graph-Based Model
      • API-Driven
      • Extensible
      • Flexible Schema
      • Provides Different Views Across the Estate
    • Transferring Ownership
      • What Does a Good Transfer Look Like?
      • Meeting Quality Expectations
      • Operational Handover
      • Replacing
    • What to Do If Youre Struggling
      • Make the Business Case
      • Start with Critical Systems
      • Make Your Best Guess at Owners
      • Deliver Value from the Data
      • Aim for Continuous Improvement
      • Look for Teams That Are Overwhelmed
      • Services Shouldnt Live Forever
    • In Summary
  • 10. Getting Value from Testing
    • Why Do We Test?
      • Building the Thing Right
      • Building the Right Thing
      • Picking Up Regressions
      • Meeting Quality-of-Service Requirements
    • Shifting Testing Left
    • What Makes a Good Test?
      • Fast and Early Feedback
      • Easy to Change
      • Finds Real Problems
    • Types of Testing
      • The Testing Pyramid
      • Unit Tests
      • Service Tests
      • End-to-End Tests
      • Contract Tests
      • Consistency Tests
      • Exploratory Tests
      • Cross-Functional Testing
    • Testing in Production
      • Is It Safe?
      • Staging Is Not Production-Like
      • Your Customers Can Surprise You
      • You Cant Test for Every Variation
      • You Dont Have to Roll a Change Out to Everyone
        • Feature flags
        • Canary releases
        • A/B testing
      • Monitoring as Testing
        • Synthetic monitoring
        • Coherence testing
    • Testing Your Infrastructure
      • Chaos Engineering
      • Testing Failovers and Restores
    • Quality Is About More Than Testing
    • What to Do If Youre Struggling
      • Not Enough Automated Testing
      • Tests That Arent Providing Value
    • In Summary
  • 11. Governance and Standardization: Finding the Balance
    • Why Governance Matters
    • Know Your Estate
    • What Sort of Information Is Relevant?
    • Guardrails and Policies
      • Automating Guardrails
      • What to Include
      • The FTs Guardrails
        • 1. Buy vs build
        • 2. Procurement
        • 3. Significant technology changes
        • 4. Creating a record for the service
        • 5. Security & privacy
        • 6. Accessibility & browser support
        • 7. Analytics, logs & metrics
        • 8. Change & release logging
        • 9. Healthchecks & monitoring
        • 10. Runbooks
        • 11. Service tier & support
        • 12. Performance
        • 13. Cost management
        • 14. Going live
        • 15. While the service is live
        • 16. Decommissioning
    • Aligning on Guardrails
      • Tech Governance Group
        • TGG format
        • Responsibilities
        • What required a technology proposal
      • Benefits of the TGG
        • Clear and lightweight process
        • Easy to know what topics are being discussed
        • Record of what people were thinking
        • Supports the evolution of your guardrails
    • Choosing Technologies
      • The Technology Lifecycle
      • Save Innovation for Key Business Outcomes
      • Use Boring Technology
      • Limit the Alternatives
      • Be Clear on Where Duplication Is Acceptable
      • Expect Things to Change
    • Insight Leads to Action
    • Governance in Other Organizations
      • Governance at Monzo
      • Governance at Skyscanner
    • What to Do If Youre Struggling
    • In Summary
  • 12. Building Resilience In
    • What Is Resilience?
      • Resilience for Distributed Systems
        • Fallacy 1: The network is reliable
        • Fallacy 2: Latency is zero
        • Fallacy 3: Bandwidth is infinite
        • Fallacy 4: The network is secure
        • Fallacy 5: Topology doesnt change
        • Fallacy 6: There is one administrator
        • Fallacy 7: Transport cost is zero
        • Fallacy 8: The network is homogeneous
      • Resilience for Microservices
    • Understanding Your Service Level Requirements
      • Service Level Objectives
        • Request duration
        • Error rate
        • System throughput
        • Availability
      • Error Budgets
    • Building Resilient Services
      • Redundancy
      • Fast Startup and Graceful Shutdown
      • Set Appropriate Timeouts
      • Back Off and Retry
      • Make Your Requests Idempotent
      • Protect Yourself
      • Testing Service Resilience
      • Make Building Resilient Services Easy
    • Building Resilient Systems
      • Caching
      • Handling Cascading Failures
      • Fallback Behavior
      • Avoiding Unnecessary Work
      • Go Asynchronous
      • Failover
      • Backup and Restore
      • Disaster Recovery
    • Building a Resilient Platform
      • Resilience to External Issues
      • Internal Tooling
        • Deployment tooling
        • Operational tooling
        • Think about data too
    • Validating Your Resilience Choices
      • Chaos Engineering
      • Testing Backup and Restore
      • Practice Makes Perfect
      • Load Testing
      • Learn from Incidents
      • One Thing at a Time
    • What to Do If Youre Struggling
    • In Summary
  • 13. Running Your System in Production
    • Operational Challenges of Microservices
      • Different Technologies Mean Different Support Knowledge Is Needed
      • Ephemeral Infrastructure
      • Rapid Change
      • Alert Overload
      • Complex Systems Run in Degraded Mode
    • Building Observability In
      • Logging
      • Monitoring and Metrics
      • Log Aggregation
        • Timing issues
        • Missing or delayed logs
        • Correlation
        • Log volume
        • Changing vendor
      • OpenTelemetry
      • Focus on Events
      • Distributed Tracing
      • Archiving Observability Data
    • Building Your Own Tools
    • Spotting Issues
      • Getting Alerting Right
      • Healthchecks
        • Aim for a realistic request, rather than a ping
        • Return 200 regardless of whether checks pass
        • Use healthchecks in dashboards
        • Be aware of related costs
      • Monitoring Business Outcomes
      • Understanding What Normal Looks Like
    • Mitigation
    • Troubleshooting
      • Maintaining Useful Documentation
      • Knowing Whats Changed
      • Problems with External Systems
      • Tooling Characteristics
        • Real-time, aggregated data
        • Easy to access
        • Support investigation
    • Learning from Incidents
    • What to Do If Youre Struggling
    • In Summary
  • 14. Keeping Things Up-to-Date
    • Why Is This a Challenge?
    • Minimizing the Impact of Change
      • Think About the Long Term
      • A Reason to Be on the Paved Road
      • Choose Managed Services and SaaS Options
      • Provide APIs
      • Immutable and Ephemeral Infrastructure
      • Decommission and Deprecate
    • Types of Change
      • Emergency Changes
      • Minor Planned Changes
      • Major Planned Changes
    • Responding to Change
      • Understand the Landscape
      • Define Guiding Policies
    • Making a Decision
      • Who Gets to Decide?
      • Scheduling Work
    • Managing Change
      • Clarity
      • Communication
        • Stages of communication
        • Dont break things
        • Give lots of notice
        • Develop a comms plan
        • Give context
      • Empathy
        • What is a nudge?
        • Easy
        • Attractive
        • Social
        • Timely
      • Execution
    • What to Do If Youre Struggling
    • In Summary
  • Afterword
    • Why Microservices?
      • The Importance of Flow
      • Support for Autonomy
      • The Rise of Platform Engineering
      • Wrapping Up
  • A. Microservices Assessment
    • Do You Need Microservices?
      • Scaling Challenges
        • Are we struggling to get changes made?
        • Does our developer experience suck?
      • Technical Reasons
        • Do we have different compliance or security requirements for some parts of our system?
        • Do we need to scale to support load?
        • Are we facing operational challenges?
        • Would we benefit from making a different technology choice for some part of our system?
    • Spotting Potential Pitfalls
      • Organizational Structure and Culture
      • Software Delivery Approach
  • B. Recommended Reading
    • Part I: Context
    • Part II: Organizational Structure and Culture
    • Part III: Building and Operating
  • Index

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