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High Performance SRE  
Automation, error budgeting, RPAs, SLOs, and SLAs with site reliability engineering (English Edition)
Author(s): Anchal Arora Mishra
Published by BPB Publications
ISBN: 9789355516718
Pages: 230
https://doi.org/9789355516718

EBOOK (EPUB)

ISBN: 9789355516718   Price: INR 799.00
  
 

Description

Table of contents

Subject(s): SRE, Reliability and Scalability, Error Budgets, AI and SRE, Career in SRE, Preparation for SRE, Capacity Planning in SRE
This book is a must-read, providing insights into SRE principles for beginners and experienced professionals. Study the fundamentals and evolution of SRE, gaining a solid foundation for success in today's tech-centric world. Starting with the fundamentals, it expands into the evolution of SRE from traditional IT roles, laying a solid foundation for understanding its pivotal role in today’s tech-driven world. The core of the book focuses on practical strategies and advanced techniques. Readers will learn about automating tasks, effective incident management, setting realistic service level objectives, and managing error budgets. These topics are crucial for maintaining system reliability while fostering innovation. Additionally, the book emphasizes performance optimization and scalability, ensuring that systems run smoothly and adapt and grow effectively. High performance SRE emphasizes more than just technical skills. It encourages teamwork, a blame-free culture, and continuous learning, empowering SRE professionals for operational excellence and organizational success.
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Description
Subject(s): SRE, Reliability and Scalability, Error Budgets, AI and SRE, Career in SRE, Preparation for SRE, Capacity Planning in SRE
This book is a must-read, providing insights into SRE principles for beginners and experienced professionals. Study the fundamentals and evolution of SRE, gaining a solid foundation for success in today's tech-centric world. Starting with the fundamentals, it expands into the evolution of SRE from traditional IT roles, laying a solid foundation for understanding its pivotal role in today’s tech-driven world. The core of the book focuses on practical strategies and advanced techniques. Readers will learn about automating tasks, effective incident management, setting realistic service level objectives, and managing error budgets. These topics are crucial for maintaining system reliability while fostering innovation. Additionally, the book emphasizes performance optimization and scalability, ensuring that systems run smoothly and adapt and grow effectively. High performance SRE emphasizes more than just technical skills. It encourages teamwork, a blame-free culture, and continuous learning, empowering SRE professionals for operational excellence and organizational success.
Table of contents
Table of Contents
  1. Cover
  2. Title Page
  3. Copyright Page
  4. Dedication Page
  5. About the Author
  6. About the Reviewer
  7. Acknowledgement
  8. Preface
  9. Table of Contents
  10. 1. Introduction to Site Reliability Engineer
    1. Introduction
    2. Structure
    3. Objectives
    4. Historical context and origin of the SRE role
    5. Type of DevOps teams in different companies
    6. Roles and responsibilities of SRE
    7. Bridging the gap between development and operations
      1. Maintaining system and service reliability
    8. Importance of SRE in the modern tech ecosystem
    9. Skills and knowledge for SRE
      1. Necessary technical skills
      2. Soft skill requirements
    10. Culture of SREs and DevOps
      1. Understanding DevOps
      2. SRE’s role in promoting the DevOps culture
      3. Effect on the process of making and delivering software
    11. Importance of SRE in the digital age
      1. Effect of service downtime on businesses
      2. SRE’s role in reducing and preventing downtime
      3. Prospects and developments for SREs in the future
    12. Career path and professional development
      1. Starting point and prerequisites for becoming an SRE
      2. Continuous learning and upskilling
      3. Career progression for SREs
      4. Evolving SRE role
    13. Conclusion
    14. Multiple choice questions
      1. Answers
  11. 2. DevOps to Site Reliability Engineering
    1. Introduction
    2. Structure
    3. Objectives
    4. DevOps to site reliability engineering
    5. Need for site reliability engineering
      1. Site reliability engineering team structure
      2. Site reliability engineering discipline
      3. Unspoken commitments
    6. Site reliability engineering engagement model
      1. Site reliability engineering implements DevOps
    7. Site reliability engineering strategy adoption
    8. Site reliability engineering challenges
    9. Site reliability engineering best practices
    10. Site reliability engineering best practices tools
    11. Conclusion
    12. Multiple choice questions
      1. Answers
  12. 3. Monitoring
    1. Introduction
    2. Structure
    3. Objectives
    4. Need for monitoring
    5. Pillars of monitoring
      1. Latency
      2. Errors
      3. Saturation
    6. Threshold monitoring
    7. Monitoring and observability
    8. Application monitoring
    9. Monitoring best practices
      1. Examples of monitoring and observability tools
    10. Conclusion
    11. Multiple choice questions
      1. Answers
  13. 4. Incident Management and Risk Mitigation
    1. Introduction
    2. Structure
    3. Objectives
    4. Purpose of incident management
      1. More about software risks
    5. Incident prioritization
    6. Incident severity level
      1. Use of severity level
      2. Difference between severity and priority
      3. Defining incident severity levels
    7. Incident response planning
    8. Risks to consider
    9. Analyzing the risks
      1. Production incident lifecycle
        1. Cost of reliability
        2. Response plan
    10. Best practices to reduce production incidents
    11. Risk and mitigation
    12. Best practices for risk mitigation
    13. Conclusion
    14. Multiple choice questions
      1. Answers
  14. 5. Error Budgets
    1. Introduction
    2. Structure
    3. Objectives
    4. Purpose of error budgets
    5. Defining error budgets
      1. Error budget equation
      2. Prioritizing development over end-user experience
    6. Relation of error budgets with SLI and SLO
    7. Benefits to setting the proper error budgets
    8. Outage policies
    9. Action items if the error budget is exceeded
    10. Best practices to get the correct error budgets
    11. Conclusion
    12. Multiple choice questions
      1. Answers
  15. 6. SLI/SLO/SLA
    1. Introduction
    2. Structure
    3. Objectives
    4. Introduction to service level management
      1. Overview of service level management
      2. Key components of SLM: SLI, SLO, and SLA
      3. Benefits of implementing an SLM program
    5. Understanding service level indicators
      1. Purpose of SLIs
      2. Types of SLIs and their use cases
      3. Key features of selecting appropriate SLI
      4. Importance of SLIs
    6. Setting service level objectives
      1. Purpose of SLOs
      2. Setting up appropriate SLOs
    7. Creating service level agreements
      1. Purpose of SLAs
      2. Components of SLA
      3. Negotiations of SLA
    8. Implementing and managing the SLM program
      1. Steps for implementing the SLM program
      2. Best practices for managing SLIs, SLOs, and SLAs
      3. Common challenges in setting up correct SLA
      4. Role of technology in automating SLM
    9. Case studies and real-world examples
      1. Netflix
      2. Adobe
      3. LinkedIn
    10. Conclusion
    11. Multiple choice questions
      1. Answers
  16. 7. Capacity Planning
    1. Introduction
    2. Structure
    3. Objectives
    4. Importance of capacity planning
      1. Principles of capacity management
    5. Understanding resource requirements
      1. Identifying key resources
      2. Analyzing historical usage data
      3. Forecasting future usage patterns
    6. Capacity analysis
      1. Capacity analysis to determine workload resources
      2. Trade-offs between performance, availability, and cost
    7. Scaling strategies
      1. Choosing the right scaling strategy
      2. Considerations for auto-scaling and load balancing
    8. Monitoring and alerting
      1. Setting up monitoring tools
      2. Defining alerting thresholds for key metrics
      3. Strategies for proactive capacity planning
    9. Capacity planning in the cloud
      1. Understanding cloud resource allocation
      2. Leveraging cloud provider tools
    10. Capacity planning for disaster recovery
      1. Disaster recovery capacity needs
      2. Developing disaster recovery capacity plans
      3. Disaster recovery plans and capacity
    11. Conclusion
    12. Multiple choice questions
      1. Answers
  17. 8. On-call and First-response
    1. Introduction
    2. Structure
    3. Objectives
    4. Understanding on-call
      1. Types of on-call rotations
      2. Key responsibilities of on-call engineers
    5. First response processes
      1. Common steps in first response processes
      2. Best practices for first response
      3. Preparing for on-call and first-response
      4. Importance of proactive preparation
      5. Key tools and resources for on-call engineers
      6. Strategies for reducing stress and avoiding burnout
    6. Communicating during incidents
      1. Importance of effective communication
      2. Best practices for communicating with stakeholders
      3. Tools for effective incident communication
    7. Incident review and post-mortems
      1. Incidents and post-mortems
      2. Common post-mortem processes and best practices
      3. Preventing incidents with post-mortems
    8. Case studies
      1. Google
      2. Amazon
      3. Atlassian
      4. Netflix
    9. Conclusion
    10. Multiple choice questions
      1. Answers
  18. 9. RCA and Post-mortem
    1. Introduction
    2. Structure
    3. Objectives
    4. Root cause analysis
      1. Understanding the RCA process
        1. Problem identification
        2. Data collection
        3. Root cause identification
        4. Implementing solutions
        5. Reviewing the efficiency of the solutions
      2. Various methods of RCA
        1. The five whys
        2. Fishbone/Ishikawa diagrams
        3. Fault tree analysis
      3. Role of RCA in problem-solving and actions
    5. Post-mortem
      1. How to conduct a post-mortem
        1. Gathering data and information
        2. Analyzing the incident
        3. Identifying actions for improvement
        4. Implementing changes
      2. Role of a blameless post-mortem
      3. Role of post-mortem in learning and improvement
      4. Real-world examples of effective post-mortems
      5. Challenges and pitfalls in conducting post-mortems
    6. Relationship between RCA and post-mortem
      1. RCA feeds into the post-mortem process
      2. RCA and post-mortem: Synergies and differences
      3. Optimizing incident management
    7. Future trends
      1. Applying AI and ML to RCA and post mortem
      2. Post-mortem best practices
    8. Conclusion
    9. Multiple choice questions
      1. Answers
  19. 10. Chaos Engineering
    1. Introduction
    2. Structure
    3. Objectives
    4. Principles of chaos engineering
      1. Building a hypothesis
      2. Introducing real-world events
      3. Observing the system
      4. Verifying the hypothesis
      5. Incremental complexity
    5. Role of chaos engineering in SRE
    6. Key concepts in chaos engineering
      1. Blast radius
      2. Failure injection
      3. Steady-state
      4. Observability and monitoring
      5. Chaos experiments
      6. Game days
    7. Preparing for chaos engineering
      1. Setting objectives and metrics
      2. Building an observability infrastructure
      3. Establishing a strong incident response strategy
    8. Implementing chaos testing
    9. Tools and technologies for chaos engineering
      1. Chaos toolkit
      2. Gremlin
      3. Chaos Monkey
    10. Case studies on chaos engineering
      1. Netflix
      2. Amazon
      3. Google
    11. Future of chaos engineering
    12. Conclusion
    13. Multiple choice questions
      1. Answers
  20. 11. Artificial Intelligence for Site Reliability Engineering
    1. Introduction
    2. Structure
    3. Objectives
    4. Role of AI in transforming SRE processes
    5. Automated testing and quality assurance
      1. Role of AI in test case generation and automation
      2. Role of AI in testing
    6. Intelligent debugging
      1. AI techniques for code analysis and issue identification
      2. Real-time insights and suggestions for issue resolution
      3. Impact of intelligent debugging on system stability
    7. Predictive maintenance
      1. AI for maintenance and upgrades
      2. Predicting potential failures and resource depletion
      3. Predictive maintenance and resource optimization
    8. Code generation and augmentation
      1. Code snippets and faster development
      2. AI-assisted code review for improved code quality
      3. Enhanced development and coding practices
    9. Performance optimization
      1. Monitoring and analysis
      2. Bottleneck detection and root cause analysis
      3. Automated performance tuning
      4. Predictive and adaptive scaling
      5. User experience optimization
    10. Anomaly detection and security
      1. AI for anomaly detection
      2. Leveraging AI to prevent security threats
      3. Enhancing system security and maintaining data
    11. Continuous integration and deployment
      1. Automation of CI/CD processes using AI
      2. AI-driven code analysis and release management
      3. Software delivery and development
    12. Natural language processing for SRE
      1. Role of NLP in processing requirements
      2. Tools for requirement analysis
      3. Sentiment analysis and user feedback
    13. Future trends and challenges
      1. Potential challenges and ethical considerations
      2. Future of AI in SRE
    14. Conclusion
      1. Multiple choice questions
      2. Answers
  21. 12. Case Studies
    1. Introduction
    2. Structure
    3. Objectives
    4. Google
      1. Background and difficulties
        1. Google’s software reliability engineering model
    5. Netflix
      1. Background and difficulties
        1. Netflix’s software reliability engineering methodology
        2. Core ideas of Netflix’s SRE strategy
    6. Spotify
      1. Background and difficulties
        1. Spotify’s software reliability engineering approach
    7. LinkedIn
      1. Background and difficulties
        1. Journey of LinkedIn’s software reliability engineering
    8. Amazon
      1. Background and challenges
        1. SRE at Amazon
    9. Conclusion
  22. Index
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