97 Things Every Cloud Engineer Should Know: Collective Wisdom from the Experts

Copyright
Table of Contents
Preface
	O’Reilly Online Learning
	How to Contact Us
Part I. Fundamentals
	Chapter 1. What Is the Cloud?
		Nathen Harvey
	Chapter 2. Why the Cloud?
		Nathen Harvey
			Understand the Role of Technology
			Automate the Cloud
			Measure Progress
			Getting Started > Getting Finished
	Chapter 3. Three Keys to Making the Right Multicloud Decisions
		Brendan O’Leary
	Chapter 4. Use Managed Services—Please
		Dan Moore
	Chapter 5. Cloud for Good Should Be Your Next Project
		Delali Dzirasa
	Chapter 6. A Cloud Computing Vocabulary
		Jonathan Buck
	Chapter 7. Why Every Engineer Should Be a Cloud Engineer
		Michelle Brenner
	Chapter 8. Managing Up: Engaging with Executives on the Cloud
		Reza Salari
Part II. Architecture
	Chapter 9. The Future of Containers: What’s Next?
		Chris Hickman
			MicroVMs
			Unikernels
			So, What’s Next?
	Chapter 10. Understanding Scalability
		Duncan Mackenzie
			Scaling Options
			Keep Scalability in Mind, but Don’t Overdo It
	Chapter 11. Don’t Think of Services, Think of Capabilities
		Haishi Bai
	Chapter 12. You Can Cloudify Your Monolith
		Jake Echanove
	Chapter 13. Integrating Microservices in Cloud Native Architecture
		Kasun Indrasiri
	Chapter 14. Containers Aren’t Magic
		Katie McLaughlin
	Chapter 15. Your CIO Wants to Replatform Only Once
		Kendall Miller
	Chapter 16. Practice Visualizing Distributed Systems
		Kim Schlesinger
	Chapter 17. Know Where to Scale
		Lisa Huynh
			Vertical Scaling
			Horizontal Scaling
			Conclusion
	Chapter 18. Serverless Bad Practices
		Manasés Jesús Galindo Bello
			Deploying a Lot of Functions
			Calling a Function Synchronously
			Calling a Function Asynchronously
			Employing Many Libraries
			Using Many Technologies
			Not Documenting Functions
	Chapter 19. Getting Started with AWS Lambda
		Marko Sluga
			Building an Event Handler and Testing the Lambda Function
	Chapter 20. It’s OK if You’re Not Running Kubernetes
		Mattias Geniar
			The Media Tells Us Only Half the Truth
			There’s Still Much to Improve on the Old and Boring Side of Technology
			But Don’t Sit Still
	Chapter 21. Know Thy Topology
		Nikhil Nanivadekar
			Modularity
			Deployment Strategy
			Datacenter Affinity
	Chapter 22. System Fundamentals Will Still Bite You
		Noah Abrahams
	Chapter 23. Cloud Processing Is Not About Speed
		Rustem Feyzkhanov
	Chapter 24. How Serverless Simplifies the Developer Experience
		Wietse Venema
Part III. Migration
	Chapter 25. People Will Expect Things—Help Them Expect Right
		Dave Stanke
	Chapter 26. Failing a Cloud Migration
		Lee Atchison
			Mistake 1: Not Optimizing for the Cloud
			Mistake 2: Lack of Architectural Strategy
	Chapter 27. Optimizing Processes for the Cloud: Patterns and Antipatterns
		Mike Kavis
			Antipattern 1: The Wild West
			Antipattern 2: Command and Control
			Avoiding Antipatterns
	Chapter 28. Why the Lift-and-Shift Model Is Unlikely to Succeed
		Mike Silverman
Part IV. Security and Compliance
	Chapter 29. Security at Cloud Native Speed
		Chris Short
			Struggles
			Velocity
			Continuous Security
			Platform Security
			Speed Makes Us Safer
	Chapter 30. Essentials of Modern Cloud Governance
		Derek Martin
			Subscriptions Matter
			The Network Has to Come First
			Security Is Essential
			Automation Is Required
	Chapter 31. Know Where the Secrets Are Kept and How
		Emmanuel Apau
			How Do We Share Secrets Between the Infrastructure and the Applications?
			How Do We Audit Our Secrets?
			How Do We Share Secrets Among Users?
			Best Practices
	Chapter 32. Don’t SSH into Production
		Fernando Duran
	Chapter 33. Identity and Access Management in Cloud Computing
		Isuru J. Ranawaka
	Chapter 34. Treat Your Cloud Environment as if It Were On Premises
		Iyana Garry
	Chapter 35. You Can’t Get Information Security Right Without Getting Identity Right
		Sarah Cecchetti
	Chapter 36. Why Are Good AWS Security Policies So Difficult?
		Stephen Kuenzli
			The AWS Security Model Is Powerful but Complex
			How Policies Are Evaluated
			Cloud Deployments Change Rapidly
			Summary
	Chapter 37. Side Channels and Covert Communications in Cloud Environments
		Will Deane
Part V. Operations and Reliability
	Chapter 38. When in Doubt, Test It Out
		Dan Moore
	Chapter 39. Never Take a Single Region Dependency
		Derek Martin
	Chapter 40. Test Your Infrastructure with Game Days
		Fernando Duran
	Chapter 41. Improve Your Monitoring with Visualizations and Dashboards
		Jason Katzer
	Chapter 42. REvisiting the Rs of SRE
		J. Paul Reed
	Chapter 43. The Power of Vulnerability
		Ken Broeren
	Chapter 44. The Basics of Service-Level Objectives
		Kit Merker,Brian Singer,and Alex Nauda
			What Are SLOs?
			SLOs: The Cloud Engineer’s Best Friend
			Where Do You Start?
	Chapter 45. Oh, No: No Logs
		Laura Santamaria
	Chapter 46. Use Checklists to Manage Risk
		Lisa Huynh
	Chapter 47. Everything Is a DNS Problem: How to (Im)prove
		Michael Friedrich
	Chapter 48. What’s the Time?
		Nikhil Nanivadekar
	Chapter 49. Monitor Your Model Dependencies!
		Ori Cohen
	Chapter 50. There’s No Such Thing as a Development Environment
		Peter McCool
	Chapter 51. Incident Analysis and Chaos Engineering: Complementary Practices
		Ryan Frantz
			Incident Analysis
			Chaos Engineering
			Incident Analysis or Chaos Engineering
			Recouping our Investments
			A Vision for the Future
	Chapter 52. How Should I Organize My AWS Accounts?
		Stephen Kuenzli
	Chapter 53. Resiliency and Scalability Are Key
		Tidjani Belmansour
	Chapter 54. Monitor, You Will
		Tidjani Belmansour
			What Is Monitoring and Why Should We Care?
			Is Monitoring Required Only for Cloud-Based Applications?
			What Should We Monitor?
			Monitoring and Dashboarding
			We Should Design Our Applications for Monitoring from the Start
	Chapter 55. Reliable Systems Don’t Happen by Accident
		Zach Thomas
			The Architecture Diagram Is Also a Map of Failure Modes
			Asynchronous Communication Is a Friend of Cloud Reliability
			Exercise Adverse Conditions
	Chapter 56. What Is Toil, and Why Are SREs Obsessed with It?
		Zachary Nickens
Part VI. Software Development
	Chapter 57. The Cloud Doesn’t Care if It Works on Your Machine
		Alessandro Diaferia
	Chapter 58. KISS It
		Chris Proto
	Chapter 59. Maintaining Service Levels with Feature Flags
		Dawn Parzych
	Chapter 60. Working Upstream
		Eric Sorenson
			Survey the Landscape
			Get Internal Approval
			Join the Community
			Design First, Then Code
			Happy Upstreaming!
	Chapter 61. Do More with Less
		Ivan Krnić
	Chapter 62. Everything Is Just Ones and Zeros
		Lukas Ruebbelke
	Chapter 63. Be Prepared to Repeat
		Ricardo Miranda
			Strategies to Cope with Duplicate Messages
			Stateless Consumers
			Keeping State
			Conclusions
	Chapter 64. Your Greatest Products Are Not the Applications and Services You Produce
		Ryan Bell
	Chapter 65. Avoid Big Rewrites
		Simon Aronsson
			Step 1: Be Realistic
			Step 2: Utilize the Strangler Pattern
			Step 3: Repeat
	Chapter 66. Lean QA: The QA Evolving in the DevOps World
		Theresa Neate
			Beware the Cargo Cult
			Waste
			QA Is Feedback
			Early Feedback
			Lean QA
	Chapter 67. Source Code Management for Software Delivery
		Tiffany Jachja
			Understanding Version Control
			What Is Git?
Part VII. Cloud Economics and Measuring Spend
	Chapter 68. FinOps: How Cloud Finance Management Can Save Your Cloud Program from Extinction
		Deepak Ramchandani Vensi
			What Is FinOps?
			How Do You Get Started with FinOps?
			Summary
	Chapter 69. How Economies of Scale Work in the Cloud
		Jon Moore
	Chapter 70. Managing Network Transit Costs in the Cloud
		Ken Corless
	Chapter 71. Managing the Cloud Migration Cost Spike
		Manjeet Dadyala
	Chapter 72. Damn It, Jim! I’m a Cloud Engineer, Not an Accountant!
		Michael Winslow
	Chapter 73. Effectively Monitoring Cloud Services Requires Planning
		Scott Pantall
Part VIII. Automation
	Chapter 74. Principles, Patterns, and Practices for Effective Infrastructure as Code
		Adarsh Shah
			Key Principles
			Principles and Practices
	Chapter 75. Red, Green, Refactor for Infrastructure
		Annie Hedgpeth
	Chapter 76. Automate or Not-o-Mate?
		Judy Johnson
	Chapter 77. Beyond the Portal: Manage Your Cloud with the CLI
		Marcello Marrocos
	Chapter 78. Treat Your Infrastructure like Software
		Zachary Nickens
Part IX. Data
	Chapter 79. So You Want to Migrate Oracle Database into AWS Cloud?
		Asha Kalburgi
			Migration of Database
			Helpful Tools
	Chapter 80. DataOps: DevOps for Data Management
		Banjo Obayomi
			Reproducible Data
			Analytics as Code
			Data as a Platform
	Chapter 81. Data Gravity: The Importance of Data Management in the Cloud
		Geoff Hughes
			Data Availability
			Disaster Recovery
			Data Retention
			Data Gravity
Part X. Networking
	Chapter 82. Even in the Cloud, the Network Is the Foundation
		David Murray
	Chapter 83. Networking First
		Derek Martin
	Chapter 84. Handling Network Failures in the Cloud
		Shayon Mukherjee
Part XI. Organizational Culture
	Chapter 85. Silos by Any Other Name
		Brittany Woods
	Chapter 86. Focus on Your Team, Not on the Cost
		Guillaume Blaquiere
	Chapter 87. Cloud Engineering Is About Culture, Not Containers
		Holly Cummins
	Chapter 88. The Importance of Keeping Working Systems Working
		Jan Urbański
	Chapter 89. Effectively Navigating Organizational Politics
		Joshua Zimmerman
			Delegation
			Committees
			Soft Decisions
	Chapter 90. The Cloud Is Not About the Cloud
		Ken Corless
	Chapter 91. The Cloud Is Bigger than IT: Enterprise-Wide Training Strategies
		Mike Kavis
	Chapter 92. Systems Thinking and the Support Pager
		Theresa Neate
			There Are Always Consequences
			Systems Thinking in Teams
			Systems Thinking in Application Support
			It All Dovetails
	Chapter 93. Curating a DevOps Culture and Experience
		Tiffany Jachja
			Define Your Target Outcomes
			Safe Environments
			Architect Your Technology
Part XII. Personal and Professional Development
	Chapter 94. Read the Documentation—Then Reread It
		Jennine Townsend
	Chapter 95. Stay Curious
		Laziz Turakulov
	Chapter 96. Empathy as Code
		Nirmal Mehta
			Empathy as Code
			A Sampling of Decision-Making Techniques
	Chapter 97. From Zero to Cloud Engineer in Less Than a Year
		Rachel Sweeney
Contributors
	Adarsh Shah
	Alessandro Diaferia
	Alex Nauda
	Annie Hedgpeth
	Asha Kalburgi
	Banjo Obayomi
	Brendan O’Leary
	Brian Singer
	Brittany Woods
	Chris Hickman
	Chris Proto
	Chris Short
	Dan Moore
	Dave Stanke
	David Murray
	Dawn Parzych
	Deepak Ramchandani Vensi
	Delali Dzirasa
	Derek Martin
	Duncan Mackenzie
	Emily Freeman
	Emmanuel Apau
	Eric Sorenson
	Fernando Duran
	Geoff Hughes
	Guillaume Blaquiere
	Haishi Bai
	Holly Cummins
	Isuru J. Ranawaka
	Ivan Krnić
	Iyana Garry
	J. Paul Reed
	Jake Echanove
	Jan Urbański
	Jason Katzer
	Jennine Townsend
	Jon Moore
	Jonathan Buck
	Joshua Zimmerman
	Judy Johnson
	Kasun Indrasiri
	Katie McLaughlin
	Ken Broeren
	Ken Corless
	Kendall Miller
	Kim Schlesinger
	Kit Merker
	Laura Santamaria
	Laziz Turakulov
	Lee Atchison
	Lisa Huynh
	Lukas Ruebbelke
	Manasés Jesús Galindo Bello
	Manjeet Dadyala
	Marcello Marrocos
	Marko Sluga
	Mattias Geniar
	Michael Friedrich
	Michael Winslow
	Michelle Brenner
	Mike Kavis
	Mike Silverman
	Nathen Harvey
	Nikhil Nanivadekar
	Nirmal Mehta
	Noah Abrahams
	Ori Cohen
	Peter McCool
	Rachel Sweeney
	Reza Salari
	Ricardo Miranda
	Rustem Feyzkhanov
	Ryan Bell
	Ryan Frantz
	Sarah Cecchetti
	Scott Pantall
	Shayon Mukherjee
	Simon Aronsson
	Stephen Kuenzli
	Theresa Neate
	Tidjani Belmansour
	Tiffany Jachja
	Wietse Venema
	Will Deane
	Zach Thomas
	Zachary Nickens
Index