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Optimizing Lambda Performance for Your Serverless Applications

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Optimizing Lambda Performance for Your Serverless Applications Optimizing Lambda performance for your serverless applications James Beswick Senior Developer Advocate, AWS Serverless @jbesw © 2020, Amazon Web Services, Inc. or its Affiliates. About me • James Beswick • Email: [email protected] • Twitter: @jbesw • Senior Developer Advocate – AWS Serverless • Self-confessed serverless geek • Software Developer • Product Manager • Previously: • Multiple start-up tech guy • Rackspace, USAA, Morgan Stanley, J P Morgan © 2020, Amazon Web Services, Inc. or its Affiliates. Agenda Memory and profiling © 2020, Amazon Web Services, Inc. or its Affiliates. How does Lambda work? © 2020, Amazon Web Services, Inc. or its Affiliates. Anatomy of an AWS Lambda function Your function Language runtime Execution environment Lambda service Compute substrate © 2020, Amazon Web Services, Inc. or its Affiliates. Where you can impact performance… Your function Language runtime Execution environment Lambda service Compute substrate © 2020, Amazon Web Services, Inc. or its Affiliates. Anatomy of an AWS Lambda function Handler () function Event object Context object Function to be executed Data sent during Lambda Methods available to upon invocation function Invocation interact with runtime information (request ID, log group, more) // Python // Node.js import json const MyLib = require(‘my-package’) import mylib const myLib = new MyLib() def lambda_handler(event, context): exports.handler = async (event, context) => { # TODO implement # TODO implement return { return { 'statusCode': 200, statusCode: 200, 'body': json.dumps('Hello World!') body: JSON.stringify('Hello from Lambda!') } } } © 2020, Amazon Web Services, Inc. or its Affiliates. Function lifecycle – worker host Start new Download Execution Execute Execute your code environment INIT code handler code Full Partial Warm cold start cold start start AWS optimization Your optimization © 2020, Amazon Web Services, Inc. or its Affiliates. Measuring with AWS X-Ray const AWSXRay = require(‘aws-xray-sdk-core’) const AWS = AWSXRay.captureAWS(require(‘aws-sdk’)) Profile and troubleshoot AWSXRay.captureFunc('annotations', subsegment => { serverless applications: subsegment.addAnnotation('Name', name) subsegment.addAnnotation('UserID', event.userid) • Lambda instruments }) incoming requests and can capture calls made in code • API Gateway inserts tracing header into HTTP calls and reports data back to X-Ray © 2020, Amazon Web Services, Inc. or its Affiliates. X-Ray Trace Example © 2020, Amazon Web Services, Inc. or its Affiliates. Three areas of performance Latency Throughput Cost © 2020, Amazon Web Services, Inc. or its Affiliates. Cold starts © 2020, Amazon Web Services, Inc. or its Affiliates. Function lifecycle – a warm start Service identifies if Request made warm execution to Lambda’s API environments is available Yes Complete Invoke handler invocation © 2020, Amazon Web Services, Inc. or its Affiliates. Function lifecycle – a full cold start Service identifies if Find available Request made Download warm execution compute to Lambda’s API customer code environments is No resource available Complete Start execution Invoke handler Execute INIT invocation environment © 2020, Amazon Web Services, Inc. or its Affiliates. Cold starts - Execution environment The facts: • <1% of production workloads • Varies from <100ms to >1s Be aware… • You cannot target warm environments • Pinging functions to keep them warm is limited © 2020, Amazon Web Services, Inc. or its Affiliates. Cold starts - Execution environment The facts: Cold starts occur when… • <1% of production workloads • Environment is reaped • Varies from <100ms to >1s • Failure in underlying resources • Rebalancing across Azs Be aware… • Updating code/config flushes • You cannot target warm • Scaling up environments • Pinging functions to keep them warm is limited © 2020, Amazon Web Services, Inc. or its Affiliates. Cold starts - Execution environment Influenced by: • Memory allocation • Size of function package • How often a function is called • Internal algorithms AWS optimizes for this part of a cold start. © 2020, Amazon Web Services, Inc. or its Affiliates. Lambda + VPC – Major performance improvement Before: 14.8 sec duration After: 933ms duration Read more at http://bit.ly/vpc-lambda © 2020, Amazon Web Services, Inc. or its Affiliates. Cold starts - Static initialization The facts: • Code run before handler Dependencies, • Used to initialize objects, configuration establish connections, etc. information • Biggest impact on cold-starts Also occurs when… • A new execution environment is run for the first time • Scaling up © 2020, Amazon Web Services, Inc. or its Affiliates. Cold starts - Static initialization Influenced by: What can help… • Size of function package • Code optimization • Amount of code • Trim SDKs • Reuse connections • Amount of initialization work • Don’t load if not used • Lazily load variables The developer is responsible for • Provisioned Concurrency this part of a cold start. © 2020, Amazon Web Services, Inc. or its Affiliates. Provisioned Concurrency on AWS Lambda Pre-creates execution environments, running INIT code. • Mostly for latency-sensitive, interactive workloads • Improved consistency across the long tail of performance • Minimal changes to code or Lambda usage • Integrated with AWS Auto Scaling • Adds a cost factor for per concurrency provisioned but a lower duration cost for execution • This could save you money when heavily utilized © 2020, Amazon Web Services, Inc. or its Affiliates. Function lifecycle – a Provisioned Concurrency start Function Find available configured with Download compute Provisioned customer code resource Concurrency Start execution Execute INIT environment © 2020, Amazon Web Services, Inc. or its Affiliates. Function lifecycle – a Provisioned Concurrency invocation Service identifies if Request made warm execution to Lambda’s API environment is This becomes the default for all available provisioned concurrency execution environments Yes Complete Invoke handler invocation © 2020, Amazon Web Services, Inc. or its Affiliates. Provisioned Concurrency – things to know • Reduces the start time to <100ms • Can’t configure for $LATEST • Use versions/aliases • Provisioning rampup of 500 per minute • No changes to function handler code performance • Requests above provisioned concurrency follow on-demand Lambda limits and behaviors for cold- starts, bursting, pricing • Still overall account concurrency per limit region • Wide support (CloudFormation, Terraform, Serverless Framework, Datadog, Epsagon, Lumigo, Thundra, etc.) © 2020, Amazon Web Services, Inc. or its Affiliates. Provisioned Concurrency Things to know: • We provision more than you request. • We still reap these environments. • There is less CPU burst than On-Demand during init © 2020, Amazon Web Services, Inc. or its Affiliates. Provisioned Concurrency - configuration © 2020, Amazon Web Services, Inc. or its Affiliates. Provisioned Concurrency - configuration © 2020, Amazon Web Services, Inc. or its Affiliates. Provisioned Concurrency – Application Auto Scaling © 2020, Amazon Web Services, Inc. or its Affiliates. Memory and profiling © 2020, Amazon Web Services, Inc. or its Affiliates. Resources allocation Memory Power © 2020, Amazon Web Services, Inc. or its Affiliates. CPU-bound example “Compute 1,000 times all prime numbers <= 1M” 128 MB 11.722 sec $0.024628 256 MB 6.678 sec $0.028035 512 MB 3.194 sec $0.026830 1024 MB 1.465 sec $0.024638 © 2020, Amazon Web Services, Inc. or its Affiliates. Meet AWS Lambda Power Tuning Features: • Data-driven cost and performance optimization for AWS Lambda • Available as an AWS Serverless Application Repository app • Easy to integrate with CI/CD https://github.com/alexcasalboni/aws-lambda-power-tuning © 2020, Amazon Web Services, Inc. or its Affiliates. Meet AWS Lambda Power Tuning https://github.com/alexcasalboni/aws-lambda-power-tuning © 2020, Amazon Web Services, Inc. or its Affiliates. AWS Lambda Power Tuning (input) © 2020, Amazon Web Services, Inc. or its Affiliates. AWS Lambda Power Tuning (input) © 2020, Amazon Web Services, Inc. or its Affiliates. AWS Lambda Power Tuning (input) © 2020, Amazon Web Services, Inc. or its Affiliates. AWS Lambda Power Tuning (input) © 2020, Amazon Web Services, Inc. or its Affiliates. AWS Lambda Power Tuning (input) © 2020, Amazon Web Services, Inc. or its Affiliates. AWS Lambda Power Tuning (input) © 2020, Amazon Web Services, Inc. or its Affiliates. AWS Lambda Power Tuning (output) © 2020, Amazon Web Services, Inc. or its Affiliates. AWS Lambda Power Tuning (visualization) Lowest costs Fastest execution time https://github.com/alexcasalboni/aws-lambda-power-tuning © 2020, Amazon Web Services, Inc. or its Affiliates. Real-world examples © 2020, Amazon Web Services, Inc. or its Affiliates. No-Op (trivial data manipulation <100ms) © 2020, Amazon Web Services, Inc. or its Affiliates. CPU-bound (numpy: inverting 1500x1500 matrix) © 2020, Amazon Web Services, Inc. or its Affiliates. CPU-bound (prime numbers) © 2020, Amazon Web Services, Inc. or its Affiliates. CPU-bound (prime numbers – more granularity) © 2020, Amazon Web Services, Inc. or its Affiliates. Network-bound (third-party API call) © 2020, Amazon Web Services, Inc. or its Affiliates. Network-bound (3x DDB queries) © 2020, Amazon Web Services, Inc. or its Affiliates. Network-bound (S3 download – 150MB) © 2020, Amazon Web Services, Inc. or its Affiliates. Network-bound (S3 download multithread – 150MB) © 2020, Amazon Web Services, Inc. or its Affiliates. Cost/performance
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