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Building Advanced Serverless Applications with ...

Building Advanced Serverless Applications with AWS Step Functions

Builders' Day, Edinburgh, February 21st, 2018

Danilo Poccia

February 21, 2018
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  1. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. Building Advanced Serverless Applications with AWS Step Functions Danilo Poccia Technical Evangelist [email protected] @danilop danilop
  2. λ λ λ DBMS λ λ λ λ λ λ

    λ λ λ Queue Modern serverless app
  3. "I want to sequence functions" "I want to select functions

    based on data" "I want to retry functions" "I want try/catch/finally" Functions into apps "I have code that runs for hours" "I want to run functions in parallel"
  4. Coordination must-haves • Scales out • Doesn’t lose state •

    Deals with errors/timeouts • Easy to build & operate • Auditable
  5. Define in JSON and Then Visualize in the Console {

    "Comment": "Hello World Example", "StartAt" : "HelloWorld", "States" : { "HelloWorld" : { "Type" : "Task", "Resource" : "${lambdaArn}", "End" : true } } }
  6. Execute One or One Million Start End HelloWorld Start End

    HelloWorld Start End HelloWorld Start End HelloWorld Start End HelloWorld Start End HelloWorld Start End HelloWorld Start End HelloWorld
  7. Seven State Types Task A single unit of work Choice

    Adds branching logic Parallel Fork and join the data across tasks Wait Delay for a specified time Fail Stops an execution and marks it as a failure Succeed Stops an execution successfully Pass Passes its input to its output
  8. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. ExtractImageMetadata ImageTypeCheck TransformMetadata Rekognition Thumbnail StoreMetadata Start End Synchronous task Task: a single unit of work Synchronous: Lambda { "ExtractImageMetadata": { "Type": "Task", "Resource": "arn:aws:lambda:mars-ter …", … } }
  9. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. ExtractImageMetadata TransformMetadata Rekognition Thumbnail StoreMetadata Start End Task: a single unit of work Asynchronous: "Activity Task", Polled by workers { "ExtractImageMetadata": { "Type": "Task", "Resource": "arn:aws:states:mars-ter …", … } } Asynchronous task
  10. API actions on activity task Register Activity Task - Returns

    ARN Poll For task (by ARN) Report Success Report Failure Report Heartbeat
  11. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. O pen Source A pache License https://states-language.net/spec.html
  12. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. Integrate with other AWS services • Create state machines and activities with AWS CloudFormation • Call AWS Step Functions with Amazon API Gateway • Start state machines in response to events, or on a schedule, with Amazon CloudWatch Events • Monitor state machine executions with Amazon CloudWatch • Log API calls with AWS CloudTrail • Start state machine using AWS Lambda
  13. Amazon EBS Snapshot Management State Machine State Machine create-snapshot complete

    event copy-snapshot complete event Primary Region DR Region Parallel State Choice Tag Snapshot Count Snapshots CopyToDRRegion Success State Delete Snapshots Choice Tag SnapshotCopy Count Snapshots Pass State Delete Snapshots Notification Topic Errors Sent to SNS Notification Topic Errors Sent to SNS https://github.com/awslabs/aws-step-functions-ebs-snapshot-mgmt 1. Tag 2. Count 3. Copy to DR region 4. Delete Expired Whenever a new EBS snapshot completes: State Machines invoked by Amazon CloudWatch Events
  14. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. Demo: AWS Step Functions
  15. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Case Studies
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    rights reserved. Vending Pass problem 1. Thirsty consumer presents card, can buy a drink with Vending Pass or debit 2. But mobile wallet display can get out of sync under certain conditions 3.
  17. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. Vending Pass problem • Just wait for backend to catch up • Create a two-step state machine: • Wait (90 seconds) • Update mobile wallet • Cheap and simple!
  18. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. • Transcode 350 clips/day into 14 formats, fast • It’s all done with FFmpeg. The processing time is just about 100% of the video length • Aargh! Video processing problem
  19. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. • Derive keyframe locations within the source • Split the source at the keyframes • Process segments (typically 0.5 sec per) in parallel • Concatenate segments • Elapsed time: ~20 min down to ~2 minutes Video processing solution
  20. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. Details How to get from Lambda to Amazon S3: ffmpeg -f concat –safe 0 -I filelist.ffcat –c copy pipe:0 | aws s3 cp – s3://output-bucket/output-file.mp4
  21. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. Let’s peek at the code! "Init": { "Type": "Pass", "ResultPath": "$.operation", "Result": "prepare-split", "Next": "PrepareSplit" }, "PrepareSplit": { "Type": "Task", "Resource": "arn:…:ffmpeg-18HFP9FXFL6P", "Next": "SplitPrepared" }, "SplitPrepared": { "Type": "Pass", "ResultPath": "$.operation", "Result": "perform-split", "Next": "PerformSplit" }, "PerformSplit": { "Type": "Task", "Resource": "arn:…:ffmpeg-18HFP9FXFL6P", "Next": "SplitPerformed" }, "SplitPerformed": { "Type": "Pass", "ResultPath": "$.operation", "Result": "poll-results", "Next": "PreparePoll" }, "PreparePoll": { "Type": "Pass", "ResultPath": "$.pollstatus", "Result": "Submitted", "Next": "WaitForResults" } Hmm…the same function, throughout
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    rights reserved. Let’s peek at the code! "WaitForResults": { "Type": "Choice", "Choices": [ { "Variable": "$.pollstatus", "StringEquals": "Complete", "Next": "SegmentsCompleteState" }, { "Variable": "$.pollstatus", "StringEquals": "Progressing", "Next": "loop_wait_using_seconds" }, { "Variable": "$.pollstatus", "StringEquals": "Submitted", "Next": "loop_wait_using_seconds" } ] } "loop_wait_using_seconds": { "Type": "Wait", "Seconds": 3, "Next": "loop" }, "loop": { "Type": "Task", "Resource": "arn:…:ffmpeg-18HFP9FXFL6P", "Next": "WaitForResults" }, "SegmentsCompleteState": { "Type": "Pass", "ResultPath": "$.operation", "Result": "concat", "Next": "CompleteState" }, "CompleteState": { "Type": "Task", "Resource": " arn:…:ffmpeg-18HFP9FXFL6P", "End": true } Counts the segments, sets $.pollstatus Stitches segments together
  23. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. Takeaways Use Amazon S3 data events to trigger parallel Lambda processing: win Use Amazon S3 URLs to stream video to Lambda: win Scaling to 1,000 Lambdas, rather than 1,000 EC2 instances: win Process video segments in parallel: win
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    rights reserved. 1. Sometimes Lambda is best, sometimes ECS 2. Previously, all tied together with pub/sub and procedural code 3. Aargh! Media transcoding problem
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    rights reserved. 1. Use state machines to pick execution engine 2. Use CloudWatch Events for messaging and triggering Step Functions Media transcoding solution
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    rights reserved. Let’s peek at the code! "Encoder Decider": { "Type": "Choice", "Default": "Run ECS Encoder", "Choices": [ { "Next": "Run Lambda Encoder", "And": [ { "Variable": "$.asset.size", "NumericLessThanEquals": 2000000000 }, { "Variable": "$.asset.duration_ms", "NumericLessThanEquals": 10000 } ] } ] } Hmm…maybe "Default" should have been called "Else"
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    rights reserved. Let’s peek at the code! "Run ECS Encoder": { "Type": "Task", "Resource": "arn:…SubmitECSTask", "Retry": [ { "ErrorEquals": [ "NoResourceInCluster" ], "IntervalSeconds": 5, "MaxAttempts": 720, "BackoffRate": 1.0 } ], "ResultPath": "$.task", "Next": "Wait X Seconds" } Hmm…every 5 seconds, for an hour?! "Wait X Seconds": { "Type": "Wait", "SecondsPath": "$.task.wait_time", "Next": "Get ECS Task Status" }, "Get ECS Task Status": { "Type": "Task", "Resource": "arn:…ECSTaskStatus", "Next": "ECS Task Complete?", "ResultPath": "$.task.status" }
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    rights reserved. Let’s peek at the code! "ECS Task Complete?": { "Type": "Choice", "Choices": [ { "And": [ { "Variable": "$.task.status", "StringEquals": "FAILED" }, { "Variable": "$.task.attempt", "NumericGreaterThanEquals": 3 } ], "Next": "Fire Failed Event" }, { "Variable": "$.task.status", "StringEquals": "FAILED", "Next": "Run ECS Encoder" }, { "Variable": "$.task.status", "StringEquals": "SUCCEEDED", "Next": "Fire Successful Event" } ], "Default": "Wait X Seconds" }, "Fire Successful Event": { "Type": "Task", "Resource": "aws:…SendSuccessfulEvent", "End": true }, "Fire Failed Event": { "Type": "Task", "Resource": "aws:…SendFailedEvent", "End": true } These fire CloudWatch Events
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    rights reserved. Takeaways Passing a correlation ID through a complex serverless app: win SAM to make code changes auditable: win Code Pipeline for CI/CD: win CloudWatch Events pattern matching: win
  30. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. More state machines Image Recognition and Processing Backend EBS Snapshot Management https://aws.amazon.com/step-functions/getting-started
  31. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. What are you building? #stepfunctions https://console.aws.amazon.com/states/
  32. © 2018, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Building Advanced Serverless Applications with AWS Step Functions Danilo Poccia Technical Evangelist [email protected] @danilop danilop