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Quality Engineering and Chaos Engineering in an AI and IoT World
- 1. Aug. 30. 2018 Quality Engineering in an AI & IoT World Madhusudan Shekar Principal Technical Evangelist - Amazon @madhushekar23
- 2. Why are we here today?
- 3. OLD WORLD IT Employees at work Factories + supply chainSales channels Marketing analytics
- 4. Employees at work Factories + supply chainSales channels Marketing analytics OLD WORLD IT NEW WORLD IT
- 5. NEW WORLD IT Employees at work Factories + supply chain IoT connected things Online marketing Continuous supply tracking Just in time production Online sales + delivery Social media
- 6. Dimensionality • Functional • Performance • Context Sensitivity • User Experience • …
- 7. “Earth’s most customer-centric company”
- 8. “We see our customers as invited guests to a party, and we are the hosts. It’s our job every day to make every important aspect of the customer experience a little bit better.” Jeff Bezos
- 9. • Single-purpose Connected through APIs • Highly decoupled • “Microservices” • Circa 2009
- 10. DevOps Cycle… DevOps = efficiencies that speed up this lifecycle developers customers releasetestbuild plan monitor delivery pipeline feedback loop Software development lifecycle
- 11. Microservice development lifecycle developers delivery pipelinesservices releasetestbuild releasetestbuild releasetestbuild releasetestbuild releasetestbuild releasetestbuild
- 12. = 50 million deployments a year Thousands of teams × Microservice architecture × Continuous delivery × Multiple environments
- 13. Role Augmentation using ML & IoT • Code Analysis • Predict Failures • Instrument through Data • Observability • Statistical • GAN Networks
- 14. Disruption
- 17. Fire drills save lives in the event of a real fire, because people are trained how to react People Training
- 24. Infrastructure Switching Application People Tools Tools Chaos Engineering Team Security Red Team
- 26. Infrastructure Switching Application People Chaos Engineering Team Tools Security Red Team Tools Four layers Two teams An attitude— Break it to make it better Chaos Architecture
- 27. Break it to make it safer For more on the “New View” of Safety see: Todd Conklin’s Pre-accident podcast John Allspaw’s stella.report
- 28. Synoptic Illegibility You can’t write down exactly what really happens, so you can’t write a synopsis or run-book. System safety is an emergent property. The Safety Anarchist Sydney Decker
- 29. Failures are a system problem— lack of safety margin Not something with a root cause of component or human error
- 30. Blindfolded on a cliff edge, what would you do?
- 31. Hypothesis testing • We think we have safety margin in this dimension, let’s carefully test to be sure • In production • Without causing an issue
- 32. Dimensionality ++ • Mechanical • Electrical & Sensors • Life Cycle • Business Impact • Social Impact
- 33. “You can’t legislate against failure, focus on fast detection and response.” —Chris Pinkham
- 34. Thank you!! There’s Never Been A Better Time @madhushekar23
Hinweis der Redaktion
- Why are we here today? DevOps buzzword – no formal definition Our view of devops, history of amazon, …
- Established 1994 (seattle)
- company’s logo is subtly designed to portray a customer’s smile
- - we took the monolith and broke it apart into a service oriented architecture - factored the app into small, focused, single-purpose services, which we call "primitives" - for example, we had a primitive for displaying the buy button on a product page, and we had one for calculating taxes - every primitive was packaged as a standalone web service, and got an HTTP interface - these building blocks only communicated to each other through the web service interfaces - this created a highly decoupled architecture where these services could be iterated on independently as long as they adhered to their web service interface - to give you an idea of the scope of these small services, I've included this graphic - this is the constellation of services that deliver the Amazon.com website back in 2009, 8 years ago - this term didn't exist back then, but today you'd call this a microservice architecture
- - I have a confession to make – I used to hate the term "DevOps" - it bugged me because it's a very fuzzy term - people use it in many different ways to mean many different things, so no one really knew what other people are talking about when they hear it - earlier this year, I finally caved to the momentum, and started using it in my talks - I had to admit that "DevOps" came the closest to describing this new modern style of rapid cloud development and delivery that I talked about today - since I'm using this fuzzy term, it's now my responsibility to define it, so at least we're on the same page - but rather than try to define it directly, I'm going to put it in the context of something that all of us are familiar with - the software development lifecycle - here's the general development lifecycle for a web application or service - on one side is the development team, and on the other side are the customers - every new feature or bug fix goes through this same process - developer writes code, code is built and unit tested, app is deployed to a testing environment for deeper testing, finally given a thumbs up and deployed to production where customers can use it - after that happens, the company can collect feedback from customers, make decisions, and continue to iterate and improve the product - there are a few important things to note here - the speed of completing this loop determines your business agility: to go from an idea, to a delivered feature, to learning about it and coming up with the next idea - the faster you can complete that loop, the faster you can innovate - if you can only complete this cycle once a month, you will be outmaneuvered by competitors that can do this every day - another point is that you're only adding value when you're writing code for new changes - the effort you spend in this middle section is lost time - don't get me wrong, you need to ensure high quality releases, but the less your team spends releasing software, the more time they can be writing code - to me, that's the essence of DevOps – to make this process as efficient as possible, and speed up the learning cycle - this is why DevOps is fuzzy, because there are many different ways to optimize this cycle - you can make process changes, organization changes, culture changes, tool changes - to me, they all count, and I think it's fine to classify them all as DevOps
- - with these new tools, we completed the puzzle - the teams were decoupled and they had the tools necessary to efficiently release on their own
- - what does success look like - there are a lot of ways that you can measure the process, and no one way is perfect - but here's one data point - when you have thousands of independent teams - producing highly-factored microservices - that are deployed across multiple dev, test, and production environments - in a continuous delivery process - you get a lot of deployments - at Amazon in 2014, we ran over 50M deployments - that's an average of 1.5 deployments every second
- Why are we here today? DevOps buzzword – no formal definition Our view of devops, history of amazon, …
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- The truth is, the future is always in the making. It’s engineers and wild thinkers that are helping to create the world of tomorrow. It’s customers like tusimple, revolutionizing the commerical trucking industry, arterys saving lives through 4d medical imaging, duolingo teaching language around the world.. It’s customers like you that are helping to build this. Together, we can tackle some of the worlds most challenging problems, and together we can continue to build a smater future.