The Next Wave of Reliability Engineering
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In 2018, Site Reliability Engineering (SRE) will turn 15 years old. Since Google's inception of the term SRE, companies across the world have adopted a new operations mindset along with automation, deployment and monitoring principals. Most of what SRE does now is well established throughout the industry, so what is the next-wave of reliability principals and automation frameworks? This session will dive into what the future holds for reliability engineering as a field and what will be the next areas of investment and improvement for reliability teams.
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The Next Wave of Reliability Engineering
- 1. The Next Wave of Reliability Engineering Michael Kehoe Staff Site Reliability Engineer
- 2. Today’s agenda 1 Introductions 2 Where have we come from 3 What is Reliability Engineering 4 Where are we going 5 The Future of Reliability Engineering 6 Key Takeaways 7 Q&A
- 3. Introduction
- 4. Michael Kehoe $ WHOAMI • Staff Site Reliability Engineer @ LinkedIn • Production-SRE Team • Funny accent = Australian + 4 years American • Former Network Engineer at the University of Queensland
- 5. Production-SRE Team @ LinkedIn $ WHOAMI • Disaster Recovery - Planning & Automation • Incident Response – Process & Automation • Visibility Engineering – Making use of operational data • Reliability Principles – Defining best practice & automating it
- 6. Where have we come from
- 7. Development/ Operations Bottlenecks Traditional • Department Silo’s • Slow release cycle’s • High toil workloads • Poor operational visibility Where have we come from
- 9. “What happens when a software engineer is tasked with what used to be called operations” B E N T R E Y N O R S L O S S
- 10. “Helping Product and Engineering deliver the best experience possible for the end user from an operations perspective ”
- 12. DevOps Concepts Operational silos Reduce Everything Measure Failure as normal Accept Gradual changes Implement Tooling and automation Leverage
- 13. Operational Silos Reduce • Shared ownership of code & infrastructure • Sharing of tools • Expectation of collaboration DevOps Concepts
- 14. Failure as Normal Accept • Expect & embrace risk • Quantify failure via SLO’s • Blameless postmortem DevOps Concepts
- 15. Gradual Change Implement • Encourage organization to move quickly • Lower the cost of failure • Manage Risk DevOps Concepts
- 16. Tooling and Automation Leverage • Automate toil away • Reduce ‘Human Touch’ DevOps Concepts
- 17. Everything Measure • Measure all aspects of systems • Availability • Errors • Incident statistics DevOps Concepts
- 18. Where are we going?
- 19. Where are we going? Agility Increased Everything Measure Is the new normal Failure Is Ubiqitous Automation In Depth Observe
- 20. The Next Wave of Reliability Engineering
- 21. The Future of Reliability Engineering Of the Network Engineer Evolution And measure Observe Is the new normal Failure As a Service Automation Is king Cloud
- 22. Making the network follow SRE practices Dawn of the Network Reliability Engineer https://forums.juniper.net/t5/SDN-and-NFV-Era/2018-and-the-Dawn-of-Network-Reliability-Engineering-NRE/ba-p/316915
- 23. Of Network Automation Evolution 1. Manual Operations 2. Automation 3. Visibility & Visualization 4. Data Analysis & realization 5. Reactive, Predictive Self Operation Credit: Greg Ferro (Packet Pushers) http://packetpushers.net/taxonomy-five-levels-intent-based- networking-beta/
- 24. Downgrade failures from exceptional to expected Failure is the new Normal https://azure.microsoft.com/en-us/blog/inside-azure-search-chaos-engineering/
- 25. Is the new normal Failure • Accept failure as normal • Test for failure: • Application • Local Infrastructure • Global Infrastructure • Continuous experimentation
- 26. Automation & Orchestration will be a part of all systems Automation as a Service
- 27. Is ubiquitous Automation • Automation is expected • Automation is unified • No more one-off scripts • Automation extends to monitoring, triage & automation • Automation drives down: • Time to Detect • Time to Resolve
- 28. Applications are built for the cloud Cloud is King https://woodby.com/pricing-plans
- 29. Is King Cloud • Adoption of Private & Public Clouds will continue • Most infrastructure will be ephemeral • Applications will be engineered to be ‘Cloud Native’ • Engineering agility will continue to increase
- 30. Making the most of operational data Observe & Measure https://www.acronis.com/en-us/blog/posts/web-application-monitoring-basic-framework
- 31. And measure Observe • Machine driven triaging using tracing and advanced learning • Advanced analytics on performance to drive infrastructure optimization • Use of incident data to drive feedback loops
- 32. Key Takeaways
- 33. Key Takeawys DEVOPS CONCEPTS Operational silos Reduce Everything Measure Failure as normal Accept Gradual change Implement Tooling and automation Leverage
- 34. Key Takeaways THE FUTURE OF RELIABILITY ENGINEERING Of the Network Engineer Evolution And measure Observe Is the new normal Failure Is ubiquitous Automation Is king Cloud
- 35. Q&A