KEYNOTE | WHAT'S COMING IN THE NEXT 10 YEARS OF DEVOPS? // ELLEN CHISA, boldstart VC
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Fifteen years ago, we'd barely started to use S3, and ten years ago DevOps was the new thing. Today, we can add a new tool, technology, or trick every week, and more and more work is shifted into the application developer's workflow. If security, resiliency, and incident response become part of product teams, where will we be ten years from now, and what should we do today to get ready?
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KEYNOTE | WHAT'S COMING IN THE NEXT 10 YEARS OF DEVOPS? // ELLEN CHISA, boldstart VC
- 1. THE NEXT TEN YEARS OF Ellen Chisa - @ellenchisa - 11/25/2021
- 2. 🙋 ♀️🙋 🙋 ♂️
- 4. Self Provisioning Infra (hello world gif)
- 7. iPads were new Google+ just launched Quikster Nokia Angular was new No NPM AWS Console was Manageable SysAdmin vs. DevOps was a thing
- 9. 1. Business requires (fast) change 2. Change causes outages 3.Lowering the risk of change through tools and culture John Allspaw (Flickr/Yahoo!) and Paul Hammond (Flickr) "10+ Deploys Per Day: Dev and Ops Cooperation at Flickr" Dev and Ops
- 11. Everyone has a computer in their pocket Metaverse, web3, crypto, NFTs Jamstack Apps 1.3 Million Packages in NPM 150 services in AWS Console Deploying 26,280x more often
- 13. What’s most annoying today?
- 16. It’s still the same thing, but...
- 17. “Their evidence refutes the bimodal IT notion that you have to choose between speed and stability—instead, speed depends on stability, so good IT practices give you both.”
- 19. 4 ways we’ll keep doing that, and what that means ten years from now.
- 20. 1.Real time feedback loops
- 21. Scratch
- 22. Replay.io
- 23. Snaplet
- 24. Zuplo
- 25. Realtime feedback loops in all tools will increase speed and reduce risk.
- 27. Incident Occurs Self healing infrastructure & playbooks become automated resolution of knowns.
- 28. Pager Goes Off “In the future systems will be much smarter about escalating to the best possible people considering a bunch of factors like time zone, area of expertise, and recency of contact with the system being reported on (the last N committers to a project, or the last N to update some config)” - Paul Nakata
- 29. Incident Opens
- 30. Fiberplane.dev
- 32. Incident infrastructure will reduce risk and increase speed.
- 33. 3. DevEx Focus
- 34. Live Values
- 36. 1. Take into account learning style 2. Not too hard 3. Not too easy 4. Progressive disclosure 5. Docs & error messages to enable users to solve their own issues 6. Customization is expert mode
- 37. 1. Take into account learning style
- 38. Codesee
- 39. 1. Take into account learning style 2. Not too hard
- 40. Optic
- 43. 1. Take into account learning style 2. Not too hard 3. Not too easy 4. Progressive disclosure
- 45. 1. Take into account learning style 2. Not too hard 3. Not too easy 4. Progressive disclosure 5. Docs & error messages to enable users to solve their own issues
- 46. Great Errors & Documentation
- 47. 1. Take into account learning style 2. Not too hard 3. Not too easy 4. Progressive disclosure 5. Docs & error messages to enable users to solve their own issues 6. Customization is expert mode
- 48. Customizations Sarah Drasner and Jake Downs thread
- 49. Tools with good DevEx will increase speed and reduce risk.
- 51. Today’s Big Four Metrics (Accelerate) Speed: 1. Deployment Frequency (the frequency at which new releases go to production) 2. Lead Time For Changes (the time until a commit goes to production) Risk: 1. Change Failure Rate (the ratio of deployments to production that leads to errors and successful deployments). 2. Mean Time to Restore (the time it takes to resolve a service impairment in production)
- 53. Today’s Big Four Metrics (Accelerate) Speed: 1. Deployment Frequency (the frequency at which new releases go to production) 2. Lead Time For Changes (the time until a commit goes to production) Risk: 1. Change Failure Rate (the ratio of deployments to production that leads to errors and successful deployments). 2. Mean Time to Restore (the time it takes to resolve a service impairment in production)
- 55. Executives (and investors) care about...
- 56. Existing Metrics
- 58. Communicating in business metrics will get buy in for future investments.
- 59. If we get: - Full organizational buy-in for the importance of ops - Tools designed for flow and developer experience - Real time feedback when something goes wrong - Incidents managed as well as deploys
- 61. Smoother cross team collaboration and more infra resources Work is more fun Speed goes towards ∞ Risk goes towards 0 Self-provisioning runtimes Everyone writes software We’re going to need a bigger room for this conference
- 62. Tools Appendix by Section & References Realtime Feedback: - scratch.mit.edu (kids) - replay.io (debug) - snaplet.dev (database snapshots) - zuplo.com (api gateway) Incidents: - ab.bot (chatbot infra) - fiberplane.dev (incident notebook) - kumospace.com (comms platform) - honeycomb.io (observability) - allma.io (incident slack infra) - jeli.io (incident analysis) - blameless.com (incident analysis) Developer Experience: - darklang.com (backend) - codesee.io (architecture maps) - tryfabric.com (slack <> github) - useoptic.com (API changes) - railway.app (infra setup) Books, articles, talks: - Accelerate (Forsgren, Humble, Kim) - 10+ Deploys per day (Allspaw, Hammond) - Incident Review Best Practices Survey (Pragmatic Engineer) - Great Documentation Examples (WorkOS) - Preparing a Board Deck (Sequoia) - Self Provisioning Runtime (Swyx)
- 63. תודה Ellen Chisa - @ellenchisa - 11/25/2021
Notas do Editor
- Ops (like the system part) Developers (like the code part)
- Started a company Programming language, batteries included Still exists For very tool I mention in here I’ll link you at the end
- Boldstart.vc Some companies in the room Share lessons from lots of people!
- Anchors us squarely in the middle of this journey
- Remind you or tell you because I know lots of us in the room may not have been around for this
- Web Accessibility Companions Office for Mobile
- Self service APIs Automation Cloud provisioning Matters more than ever as we have more businesses that rely heavily on software Who does it matter to? Internal customer, not a business/product center Engineers are looking, Hashicorp or Snyk examples - DevOps2.0 Developers will physically take over in our inner loop and is being distributed Everything is the product - Beth Long Doing things that matter to the business
- 26280x better again would be 7.3 deploys/second
- Balsa did a survey recently saying basically this
- Productivity with faster, better, more secure operations Implicit benefit to productivity Builds on observability - builds on monitoring/observability before it happens ServiceNow and Lightstep Replay Snaplet Dark, Lambdragon, Natto
- Kids - seem familiar, Logo Turtle, Mindstorms, etc. MIT Mathematician - learning from feedback - Norbert Wiener https://en.wikipedia.org/wiki/Norbert_Wiener
- Fullstory + Chrome DevTools
- Individuals write code faster - debug faster, etc. Individuals check their work in atomic steps - Zuplo example with people finding other routes
- Deployments babysat, now happens automatically Manual process vs. automated process Document https://newsletter.pragmaticengineer.com/p/incident-review-best-practices
- I don’t know about you, haven’t seen many places with automatic resolutions If it has a manual playbook someone could read, that could definitely be automated Personal Ownership Certain types of problems always go to some group of people; right now most systems rely on an explicit definition of who is on call, but in the future systems will be much smarter about escalating to the best possible people considering a bunch of factors like time zone, area of expertise, and recency of contact with the system being reported on (the last N committers to a project, or the last N to update some config) Automated recovery policies Playbooks Monitoring: knowns -- automated -- Pagerduty, Runbook Observability: unknowns -- get the right person who knows the most
- After a pager needs to go, pages will change Personal Ownership Certain types of problems always go to some group of people; right now most systems rely on an explicit definition of who is on call, but in the future systems will be much smarter about escalating to the best possible people considering a bunch of factors like time zone, area of expertise, and recency of contact with the system being reported on (the last N committers to a project, or the last N to update some config) Automated recovery policies Playbooks Monitoring: knowns -- automated -- Pagerduty, Runbook Observability: unknowns -- get the right person who knows the most
- Doesn’t have to be in Slack necessarily, but can be - Allma, blameless People automatically get directed to the right place Pulls in related information Easy “status” section
- Firehydrant, Blameless
- Less bad when something goes wrong Continue to learn for next time to be able to go faster
- Framework for what is good We know tools go better when people adopt, what makes them adopt Solve a real problem, have a good experience This is for those of you who are building tools for devs or choosing them
- Right information at the right time, not a good DevEx
- muh·hay·lee Chik·sent·mee·hai·ee
- Not too hard - what people have, be it chat or OpenAPI
- Feels like github Works on to of the API you have Has an OSS version and a hosted version
- If you’ve gotten here, you’re winning!
- Individuals write code faster - debug faster, etc. Individuals check their work in atomic steps - Zuplo example with people finding other routes
- Productivity with faster, better, more secure operations Implicit benefit to productivity Builds on observability - builds on monitoring/observability before it happens ServiceNow and Lightstep Replay Snaplet Dark, Lambdragon, Natto
- Goes to infinity - once every three years to once a minute we’ve already improved this by 12,000,000x Goes to 0 Goes to 0 Doesn’t matter if the previous has gone to 0
- Goes to infinity - once every three years to once a minute we’ve already improved this by 12,000,000x Goes to 0 Goes to 0 Doesn’t matter if the previous has gone to 0
- Spoiler alert: MBA people don’t care about your normal metrics
- Time to ticket resolution (lead time for changes) Ratio of successful to poor experiences (change failure rate)
- HIring Velocity Dev NPS Dev Testing
- Less bad when something goes wrong Continue to learn for next time to be able to go faster
- Productivity with faster, better, more secure operations Implicit benefit to productivity Builds on observability - builds on monitoring/observability before it happens ServiceNow and Lightstep Replay Snaplet Dark, Lambdragon, Natto
- 26280x better again would be 7.3 deploys/second