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How to bring chaos engineering to serverless

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Yan Cui
Yan Cui

You might have heard about chaos engineering in the context of Netflix and Amazon, and how they kill EC2 servers in production at random to verify that their systems can stay up in the face of infrastructure failures. But did you know that the same ideas can be applied to serverless applications? Yes, despite not having access to the underlying servers, we can still apply principles of chaos engineering to uncover failure modes in our system (and there are plenty!) so we can build a defence against them and make our serverless applications more robust and more resilient!

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October 20-21-22, 2020 How to bring Chaos Engineering to Serverless Yan Cui – Developer Advocate, Lumigo
Chaos Engineering?
MUST KILL SERVERS! RAWR!! RAWR!!
@theburningmonk theburningmonk.com “the discipline of experimenting on a system in order to build confidence in the system’s capability to withstand turbulent conditions in production” principlesofchaos.org
@theburningmonk theburningmonk.com microservices death stars circa 2015
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com “the capacity to recover quickly from difficulties; toughness.” resilience /rɪˈzɪlɪəns/ noun
@theburningmonk theburningmonk.com “the capacity to recover quickly from difficulties; toughness.” resilience /rɪˈzɪlɪəns/ noun it’s not about preventing failures!
everything fails, all the time
@theburningmonk theburningmonk.com “You don't choose the moment, the moment chooses you! You only choose how prepared you are when it does.” Fire Chief Mike Burtch
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com anything that can go wrong, will go wrong. MURPHY’s LAW
@theburningmonk theburningmonk.com identify weaknesses before they manifest in system-wide, aberrant behaviors GOAL
@theburningmonk theburningmonk.com learn about the system’s behavior by observing it during a controlled experiments HOW
@theburningmonk theburningmonk.com learn about the system’s behavior by observing it during a controlled experiments HOW game days failure injection
Yan Cui http://theburningmonk.com @theburningmonk AWS user for 10 years
Yan Cui http://theburningmonk.com @theburningmonk http://bit.ly/yubl-serverless
Yan Cui http://theburningmonk.com @theburningmonk Developer Advocate @
How to bring chaos engineering to serverless
Yan Cui http://theburningmonk.com @theburningmonk Independent Consultant advisetraining delivery
theburningmonk.com/courses
theburningmonk.com/courses
realworldserverless.com
“using serverless reduces the blast radius” www.buzzsprout.com/877747/4615985
@theburningmonk theburningmonk.com serverless improves resilience as platform takes care of infrastructure failures
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com by Russ Miles @russmiles source https://medium.com/russmiles/chaos-engineering-for-the-business-17b723f26361
@theburningmonk theburningmonk.com by Russ Miles @russmiles source https://medium.com/russmiles/chaos-engineering-for-the-business-17b723f26361
@theburningmonk theburningmonk.com Shared Responsibility Model
@theburningmonk theburningmonk.com by Russ Miles @russmiles source https://medium.com/russmiles/chaos-engineering-for-the-business-17b723f26361
@theburningmonk theburningmonk.com chaos monkey kills an EC2 instance latency monkey induces artificial delay in APIs chaos gorilla kills an AWS Availability Zone chaos kong kills an entire AWS region
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com there are no servers to kill! SERVERLESS
@theburningmonk theburningmonk.com improperly tuned timeouts
@theburningmonk theburningmonk.com missing error handling
@theburningmonk theburningmonk.com missing fallbacks
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com STEP 1. define steady state i.e. “what does normal look like”
@theburningmonk theburningmonk.com STEP 2. hypothesis that steady state continues in control and experimental group e.g. “the system stays up if a server dies”
@theburningmonk theburningmonk.com STEP 3. inject realistic failures e.g. “slow response from 3rd-party service”
@theburningmonk theburningmonk.com STEP 4. try to disprove hypothesis i.e. “look for difference between control and experimental group”
@theburningmonk theburningmonk.com latency inject latency to function invocation
@theburningmonk theburningmonk.com “what if service X has elevated latency?”
@theburningmonk theburningmonk.com API Gateway Lambda API Gateway Lambda
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com hypothesis: API would timeout and our try-catch would handle it and return default response
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com result: function times out after 6s (hypothesis is disproved)
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com API Gateway Lambda API Gateway Lambda 502 200
@theburningmonk theburningmonk.com API Gateway Lambda API Gateway Lambda 3s timeout 6s timeout
@theburningmonk theburningmonk.com API Gateway Lambda API Gateway Lambda max 29s integration max 15 mins timeout
@theburningmonk theburningmonk.com and then there’s cold starts…
@theburningmonk theburningmonk.com TIL: most HTTP client libraries have default timeout of 60s. API Gateway has an integration timeout of 29s. Most Lambda functions default to timeout of 3-6s. Don’t forget about the cold starts!
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com https://bit.ly/2Wvfort
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com outcome: a more resilient system
@theburningmonk theburningmonk.com latency exception inject latency to function invocation throws exception
@theburningmonk theburningmonk.com latency exception statuscode inject latency to function invocation throws exception return HTTP status code
@theburningmonk theburningmonk.com latency exception statuscode diskspace inject latency to function invocation throws exception return HTTP status code fills up /tmp directory
@theburningmonk theburningmonk.com latency exception statuscode diskspace denylist inject latency to function invocation throws exception return HTTP status code fills up /tmp directory looses network connectivity
@theburningmonk theburningmonk.com “what if DynamoDB has an elevated error rate?”
@theburningmonk theburningmonk.com API Gateway Lambda DynamoDB
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com hypothesis: the AWS SDK retries would handle it
@theburningmonk theburningmonk.com result: function times out after 6s (hypothesis is disproved)
@theburningmonk theburningmonk.com TIL: the js DynamoDB client defaults to 10 retries with base delay of 50ms
@theburningmonk theburningmonk.com TIL: the js DynamoDB client defaults to 10 retries with base delay of 50ms delay = Math.random() * (Math.pow(2, retryCount) * base) this is Marc Brooker’s fav formula!
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com action: set max retry count + fallback
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com
@theburningmonk theburningmonk.com outcome: a more resilient system
@theburningmonk theburningmonk.com latency exception statuscode diskspace denylist inject latency to function invocation throws exception return HTTP status code fills up /tmp directory looses network connectivity
everything fails, all the time
@theburningmonk theburningmonk.com by Russ Miles @russmiles source https://medium.com/russmiles/chaos-engineering-for-the-business-17b723f26361
@theburningmonk theburningmonk.com
https://theburningmonk.com/hire-me AdviseTraining Delivery “Fundamentally, Yan has improved our team by increasing our ability to derive value from AWS and Lambda in particular.” Nick Blair Tech Lead
@theburningmonk theburningmonk.com github.com/theburningmonk

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