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Application Integration Patterns (not only) for Microservices

The document presents application integration patterns for microservices, highlighting key architectural principles such as 'divide and conquer' and 'loose coupling.' It discusses various message exchange methods and AWS services like SQS and SNS for queue and topic functionality, emphasizing the importance of messaging components in cloud-native architectures. Additionally, the document outlines use cases for integrating microservices and processes, focusing on scenarios like ride completions and prebooking campaigns.

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Dennis Traub, Developer Advocate, Amazon Web Services Twitter: @dtraub Podcast: bit.ly/aws-podcast Application Integration Patterns for Microservices
Application Integration Patterns (not only) for Microservices Dennis Traub, Developer Advocate, Amazon Web Services Twitter: @dtraub Podcast: bit.ly/aws-podcast
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Two Architectural Principles: - Divide and Conquer - Loose (not lousy) Coupling
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved. “If your application is cloud native, or large-scale, or distributed, and doesn’t include a messaging component, that’s probably a bug.” Tim Bray Former Senior Principal Engineer at AWS Co-Author of the original XML Spec
Potential drawbacks of synchronous systems Synchronous systems are tightly coupled A problem in a synchronous downstream dependency has immediate impact on the upstream callers Retries from upstream callers can all too easily fan out and amplify problems Photo: Dirk Fröhner
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Message exchange One way Request response Message channel Receiver No response expected Synchronous vs. fire-and-forget Response expected Return address Correlation ID Sender Message channel Responder Requester Message channel
Message channels Point-to-point (queue) Publish-subscribe (topic) Consumed by one receiver Easy to scale Flatten peak loads Consumed by all subscribers Durable subscriber Receivers Sender Queue Subscribers Publisher Topic
Message channels Point-to-point (queue) Publish-subscribe (topic) AWS service for queue functionality: Amazon Simple Queue Services (Amazon SQS) Serverless & cloud-native AWS service for topic functionality: Amazon Simple Notification Service (Amazon SNS) Serverless & cloud-native Receivers Sender Subscribers Publisher Amazon SQS Amazon SNS
Message channels Point-to-point (queue) Publish-subscribe (topic) AWS service for queue functionality (nonserverless): Amazon MQ (managed Apache Active MQ) For applications constrained to protocols like JMS, AMQP, etc. AWS service for topic functionality (nonserverless): Amazon MQ (managed Apache Active MQ) For applications constrained to protocols like JMS, AMQP, etc. Receivers Sender Subscribers Publisher Amazon MQ Amazon MQ
Message channels Visibility timeout, inflight messages, message acknowledgement Time Receive message Receive message Delete or acknowledge message Visibility timeout 🔥 Time Visibility timeout Receive message Receive message Receive message Receive message
Message channels Topic-queue-chaining Allows fan-out and receiver scale-out at the same time Publisher Topic Queue Queue Receivers Application 1 Application 2
Message channels Dead-letter queue Transient failure mitigation Poison-pill handling Sender Queue Receivers X Dead-letter queue
Message channels FIFO queue Message groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
Message channels FIFO queue Message groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
Message channels FIFO queue Message groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
Message channels FIFO queue Message groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
Message channels FIFO queue Message groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
Message channels FIFO queue Message groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
Message channels FIFO queue Message groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
Message channels FIFO queue Message groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
Message channels FIFO queue Message groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order!
Message channels Message delivery QoS At least once At most once Exactly once Queue Receiver Sender Exactly once? Well! How to deal with a situation where the message was consumed but never acknowledged? → Your systems still have to be able to handle duplicate messages → Messages should be processed in an idempotent manner Choose between at least once or at most once
Message routing Message filter Recipient list Receive only a relevant subset of messages Controlled by subscriber Publisher remains completely unaware Send only a relevant subset of messages to a subscriber Controlled by publisher or separate component Potentially adds coupling Subscribers Publisher Subscribers Publisher Topic color = blue color = yellow Recipient list
Message routing Scatter-gather Requester Topic Responders Queue Aggregator Processor How to distribute a request across potentially interested or relevant parties and capture their individual responses? - RFQ scenarios, search for best response, etc. - Parallel processing scenarios
Message routing Pipes and filters Event triggers chain of processing steps (“filters”) Knowledge of destination for next steps is wired into each filter Event source Pipe Filter Filter Pipe Pipe Result target … Filter Step 1 Step 2 Step n
Message routing Saga orchestration Event triggers orchestrated workflow Knowledge of workflow is externalized into orchestrator component, as well as for potential rollback Workflow participants remain as loosely coupled as possible Processor Processor Processor Processor Event source Orchestrator … Step 1 Step 2 Step n-1 Step n Result target
Message routing Saga orchestration AWS service for saga orchestration (serverless): AWS Step Functions Processor Processor Processor Processor Event source Orchestrator … Step 1 Step 2 Step n-1 Step n Result target
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Use case: Submit a ride completion AWS Cloud { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Unicorn Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service
Use case: Submit a ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Unicorn Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service
Use case: Submit a ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Interested in rides with fare >= x distance >= y Rides store Unicorn Wild Rydes unicorn app https://... submit-ride-completion Unicorn management service 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> }
Use case: Submit a ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Unicorn Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn Management Service Interested in rides with fare >= x distance >= y Integration via database?
Use case: Submit a ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Unicorn Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn Management Service Integration via database? Oh my! Interested in rides with fare >= x distance >= y
Use case: Submit a ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Unicorn Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn Management Service Integration via REST APIs? Interested in rides with fare >= x distance >= y
Use case: Submit a ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Unicorn Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn Management Service Integration via REST APIs? Absolutely, but … Interested in rides with fare >= x distance >= y
Use case: Submit a ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } https://... https://... https://... https://... https://... Recipient list Unicorn Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service
Use case: Submit a ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } https://... https://... https://... https://... https://... Recipient list service Unicorn Request distribution service https://... Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service
Use case: Submit a ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } https://... https://... https://... https://... https://... Self-managed filtering Unicorn Request distribution service https://... Wild Rydes Unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service Interested in rides with fare >= x distance >= y
Use case: Submit a ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } https://... https://... https://... https://... https://... Self-managed filtering Unicorn Request Distribution Service https://... Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn Management Service Interested in rides with fare >= x distance >= y Integration via messaging? Absolutely!
Use case: Submit a ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Publish-subscribe (topic) Unicorn Ride completion topic Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service
Use case: Submit a ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } SNS message filter: fare >= x distance >= y Message filter Unicorn Ride completion topic Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service
Use case: Submit a ride completion Unicorn AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Ride completion topic Topic-queue-chaining Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service SNS message filter: fare >= x distance >= y
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Use case: Prebooking campaigns AWS Cloud Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } 201 Created Location: http://... Content-Location: ... { <prebooking-repr> } Ride-booking service Prebookings store
Use case: Prebooking campaigns AWS Cloud Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } 201 Created Location: http://... Content-Location: ... { <prebooking-repr> } Ride Booking Service Prebookings store Massive campaign with CTA: Book today!
Use case: Prebooking campaigns AWS Cloud Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } Ride-booking service Further decoupling
Use case: Prebooking campaigns AWS Cloud Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } Ride-booking service Further decoupling Prebooking submission resource
Use case: Prebooking campaigns AWS Cloud Further decoupling Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } Prebooking notification topic Ride-booking service Prebooking submission resource
Use case: Prebooking campaigns AWS Cloud Further decoupling Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } Prebooking notification topic 202 Accepted Location: ... Content-Location: ... { <task-status-repr> } Ride-booking service Prebooking submission resource
Use case: Prebooking campaigns AWS Cloud Further decoupling Prebooking notification buffer queue Prebooking processing buffer queue Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } Prebooking notification topic Ride-booking service Prebooking submission resource 202 Accepted Location: ... Content-Location: ... { <task-status-repr> }
Use case: Prebooking campaigns AWS Cloud Data lake ingestion service Ride-booking service / Prebooking processing resource Further decoupling Prebooking notification buffer queue Prebooking processing buffer queue Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } Prebooking notification topic Ride-booking service Prebooking submission resource 202 Accepted Location: ... Content-Location: ... { <task-status-repr> }
Use case: Prebooking campaigns AWS Cloud Data lake ingestion service Further decoupling Prebooking notification buffer queue Prebooking processing buffer queue Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } Prebooking notification topic Ride-booking service Prebooking submission resource 202 Accepted Location: ... Content-Location: ... { <task-status-repr> } Massive campaign with CTA: No, really! Book now! Ride-booking service / Prebooking processing resource
Use case: Prebooking campaigns Wild Rydes customer Wild Rydes customer app https://... AWS Cloud Data lake ingestion service Action=SendMessage &MessageBody=... ... Prebooking notification topic Even further decoupling Prebooking notification buffer queue Prebooking processing buffer queue Prebooking submission buffer queue 200 OK ... <SendMessageResponse> ... </SendMessageResponse> Ride-booking service Prebooking submission resource Ride-booking service / Prebooking processing resource
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Use case: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... submit-instant-ride-rfq AWS Cloud Ride-booking service { "from": "...", "to": "...", "customer": "..." } Scatter-gather 202 Accepted Location: ... Content-Location: ... { "links": { ... }, "status": "...", "eta": "..." }
Use case: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... submit-instant-ride-rfq AWS Cloud Ride-booking service { "from": "...", "to": "...", "customer": "..." } Request for quotes topic Scatter-gather 202 Accepted Location: ... Content-Location: ... { "links": { ... }, "status": "...", "eta": "..." }
Unicorn Management Service Use case: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... submit-instant-ride-rfq AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource { "from": "...", "to": "...", "customer": "..." } Request for quotes topic Scatter-gather … 202 Accepted Location: ... Content-Location: ... { "links": { ... }, "status": "...", "eta": "..." }
Unicorn Management Service Use case: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... submit-instant-ride-rfq AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource { "from": "...", "to": "...", "customer": "..." } Request for quotes topic Scatter-gather RFQ response queue … 202 Accepted Location: ... Content-Location: ... { "links": { ... }, "status": "...", "eta": "..." }
Unicorn Management Service Use case: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... submit-instant-ride-rfq AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource { "from": "...", "to": "...", "customer": "..." } Request for quotes topic Scatter-gather 202 Accepted Location: ... Content-Location: ... { "links": { ... }, "status": "...", "eta": "..." } RFQ response queue …
Unicorn Management Service Use case: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... retrieve-rfq-status AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource Request for quotes topic Scatter-gather RFQ response queue …
Unicorn Management Service Use case: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... retrieve-rfq-status AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource Request for quotes topic Scatter-gather RFQ response queue … 200 OK { "links": { ... }, "status": "running", "eta": "..." }
Unicorn Management Service Use case: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... retrieve-rfq-status AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource Request for quotes topic Scatter-gather RFQ response queue … 200 OK { "links": { ... <link-to-result> ... }, "status": "done" }
Unicorn Management Service Use case: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... retrieve-rfq-result AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource Request for quotes topic Scatter-gather RFQ response queue …
Unicorn Management Service Use case: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... retrieve-rfq-result AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource Request for quotes topic Scatter-gather RFQ response queue … 200 OK { "links": { ... }, "from": "...", "to": "...", "quotes": "..." }
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Resources AWS blogs and other content on messaging and application integration https://aws.amazon.com/messaging/ https://aws.amazon.com/event-driven-architecture/ https://aws.amazon.com/blogs/compute/category/messaging/ The German-language AWS-Podcast Keep in mind Loose coupling is always better than lousy coupling bit.ly/aws-podcast
Vielen Dank für’s Zuschauen! Dennis Traub, Developer Advocate, Amazon Web Services Twitter: @dtraub Podcast: bit.ly/aws-podcast

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Application Integration Patterns (not only) for Microservices

  • 1.
    Dennis Traub, DeveloperAdvocate, Amazon Web Services Twitter: @dtraub Podcast: bit.ly/aws-podcast Application Integration Patterns for Microservices
  • 2.
    Application Integration Patterns (notonly) for Microservices Dennis Traub, Developer Advocate, Amazon Web Services Twitter: @dtraub Podcast: bit.ly/aws-podcast
  • 3.
    © 2021, AmazonWeb Services, Inc. or its affiliates. All rights reserved.
  • 4.
    Two Architectural Principles: -Divide and Conquer - Loose (not lousy) Coupling
  • 5.
    © 2021, AmazonWeb Services, Inc. or its affiliates. All rights reserved. “If your application is cloud native, or large-scale, or distributed, and doesn’t include a messaging component, that’s probably a bug.” Tim Bray Former Senior Principal Engineer at AWS Co-Author of the original XML Spec
  • 6.
    Potential drawbacks of synchronoussystems Synchronous systems are tightly coupled A problem in a synchronous downstream dependency has immediate impact on the upstream callers Retries from upstream callers can all too easily fan out and amplify problems Photo: Dirk Fröhner
  • 7.
    © 2021, AmazonWeb Services, Inc. or its affiliates. All rights reserved.
  • 8.
    Message exchange One wayRequest response Message channel Receiver No response expected Synchronous vs. fire-and-forget Response expected Return address Correlation ID Sender Message channel Responder Requester Message channel
  • 9.
    Message channels Point-to-point (queue)Publish-subscribe (topic) Consumed by one receiver Easy to scale Flatten peak loads Consumed by all subscribers Durable subscriber Receivers Sender Queue Subscribers Publisher Topic
  • 10.
    Message channels Point-to-point (queue)Publish-subscribe (topic) AWS service for queue functionality: Amazon Simple Queue Services (Amazon SQS) Serverless & cloud-native AWS service for topic functionality: Amazon Simple Notification Service (Amazon SNS) Serverless & cloud-native Receivers Sender Subscribers Publisher Amazon SQS Amazon SNS
  • 11.
    Message channels Point-to-point (queue)Publish-subscribe (topic) AWS service for queue functionality (nonserverless): Amazon MQ (managed Apache Active MQ) For applications constrained to protocols like JMS, AMQP, etc. AWS service for topic functionality (nonserverless): Amazon MQ (managed Apache Active MQ) For applications constrained to protocols like JMS, AMQP, etc. Receivers Sender Subscribers Publisher Amazon MQ Amazon MQ
  • 12.
    Message channels Visibility timeout,inflight messages, message acknowledgement Time Receive message Receive message Delete or acknowledge message Visibility timeout 🔥 Time Visibility timeout Receive message Receive message Receive message Receive message
  • 13.
    Message channels Topic-queue-chaining Allows fan-outand receiver scale-out at the same time Publisher Topic Queue Queue Receivers Application 1 Application 2
  • 14.
    Message channels Dead-letter queue Transientfailure mitigation Poison-pill handling Sender Queue Receivers X Dead-letter queue
  • 15.
    Message channels FIFO queueMessage groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
  • 16.
    Message channels FIFO queueMessage groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
  • 17.
    Message channels FIFO queueMessage groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
  • 18.
    Message channels FIFO queueMessage groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
  • 19.
    Message channels FIFO queueMessage groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
  • 20.
    Message channels FIFO queueMessage groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
  • 21.
    Message channels FIFO queueMessage groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
  • 22.
    Message channels FIFO queueMessage groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order
  • 23.
    Message channels FIFO queueMessage groups Guaranteed ordering Messages grouped by discriminator attribute Example: Amazon SQS with sender provided message Group IDs: No further consumption as long as messages with particular message group IDs are invisible Queue Receiver Sender Receivers Sender Queue Order!
  • 24.
    Message channels Message deliveryQoS At least once At most once Exactly once Queue Receiver Sender Exactly once? Well! How to deal with a situation where the message was consumed but never acknowledged? → Your systems still have to be able to handle duplicate messages → Messages should be processed in an idempotent manner Choose between at least once or at most once
  • 25.
    Message routing Message filterRecipient list Receive only a relevant subset of messages Controlled by subscriber Publisher remains completely unaware Send only a relevant subset of messages to a subscriber Controlled by publisher or separate component Potentially adds coupling Subscribers Publisher Subscribers Publisher Topic color = blue color = yellow Recipient list
  • 26.
    Message routing Scatter-gather Requester Topic Responders Queue Aggregator Processor Howto distribute a request across potentially interested or relevant parties and capture their individual responses? - RFQ scenarios, search for best response, etc. - Parallel processing scenarios
  • 27.
    Message routing Pipes andfilters Event triggers chain of processing steps (“filters”) Knowledge of destination for next steps is wired into each filter Event source Pipe Filter Filter Pipe Pipe Result target … Filter Step 1 Step 2 Step n
  • 28.
    Message routing Saga orchestration Eventtriggers orchestrated workflow Knowledge of workflow is externalized into orchestrator component, as well as for potential rollback Workflow participants remain as loosely coupled as possible Processor Processor Processor Processor Event source Orchestrator … Step 1 Step 2 Step n-1 Step n Result target
  • 29.
    Message routing Saga orchestration AWSservice for saga orchestration (serverless): AWS Step Functions Processor Processor Processor Processor Event source Orchestrator … Step 1 Step 2 Step n-1 Step n Result target
  • 30.
    © 2021, AmazonWeb Services, Inc. or its affiliates. All rights reserved.
  • 32.
    © 2021, AmazonWeb Services, Inc. or its affiliates. All rights reserved.
  • 33.
    Use case: Submita ride completion AWS Cloud { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Unicorn Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service
  • 34.
    Use case: Submita ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Unicorn Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service
  • 35.
    Use case: Submita ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Interested in rides with fare >= x distance >= y Rides store Unicorn Wild Rydes unicorn app https://... submit-ride-completion Unicorn management service 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> }
  • 36.
    Use case: Submita ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Unicorn Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn Management Service Interested in rides with fare >= x distance >= y Integration via database?
  • 37.
    Use case: Submita ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Unicorn Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn Management Service Integration via database? Oh my! Interested in rides with fare >= x distance >= y
  • 38.
    Use case: Submita ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Unicorn Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn Management Service Integration via REST APIs? Interested in rides with fare >= x distance >= y
  • 39.
    Use case: Submita ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Unicorn Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn Management Service Integration via REST APIs? Absolutely, but … Interested in rides with fare >= x distance >= y
  • 40.
    Use case: Submita ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } https://... https://... https://... https://... https://... Recipient list Unicorn Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service
  • 41.
    Use case: Submita ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } https://... https://... https://... https://... https://... Recipient list service Unicorn Request distribution service https://... Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service
  • 42.
    Use case: Submita ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } https://... https://... https://... https://... https://... Self-managed filtering Unicorn Request distribution service https://... Wild Rydes Unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service Interested in rides with fare >= x distance >= y
  • 43.
    Use case: Submita ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } https://... https://... https://... https://... https://... Self-managed filtering Unicorn Request Distribution Service https://... Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn Management Service Interested in rides with fare >= x distance >= y Integration via messaging? Absolutely!
  • 44.
    Use case: Submita ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Publish-subscribe (topic) Unicorn Ride completion topic Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service
  • 45.
    Use case: Submita ride completion AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } SNS message filter: fare >= x distance >= y Message filter Unicorn Ride completion topic Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service
  • 46.
    Use case: Submita ride completion Unicorn AWS Cloud Customer notification service Customer accounting service Customer loyalty service Data lake ingestion service Extraordinary rides service { "from": "...", "to": "...", "duration": "...", "distance": "...", "customer": "...", "fare": "..." } Ride completion topic Topic-queue-chaining Wild Rydes unicorn app https://... submit-ride-completion 201 Created Location: ... Content-Location: ... { <cmpl-ride-repr> } Rides store Unicorn management service SNS message filter: fare >= x distance >= y
  • 47.
    © 2021, AmazonWeb Services, Inc. or its affiliates. All rights reserved.
  • 48.
    Use case: Prebookingcampaigns AWS Cloud Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } 201 Created Location: http://... Content-Location: ... { <prebooking-repr> } Ride-booking service Prebookings store
  • 49.
    Use case: Prebookingcampaigns AWS Cloud Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } 201 Created Location: http://... Content-Location: ... { <prebooking-repr> } Ride Booking Service Prebookings store Massive campaign with CTA: Book today!
  • 50.
    Use case: Prebookingcampaigns AWS Cloud Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } Ride-booking service Further decoupling
  • 51.
    Use case: Prebookingcampaigns AWS Cloud Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } Ride-booking service Further decoupling Prebooking submission resource
  • 52.
    Use case: Prebookingcampaigns AWS Cloud Further decoupling Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } Prebooking notification topic Ride-booking service Prebooking submission resource
  • 53.
    Use case: Prebookingcampaigns AWS Cloud Further decoupling Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } Prebooking notification topic 202 Accepted Location: ... Content-Location: ... { <task-status-repr> } Ride-booking service Prebooking submission resource
  • 54.
    Use case: Prebookingcampaigns AWS Cloud Further decoupling Prebooking notification buffer queue Prebooking processing buffer queue Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } Prebooking notification topic Ride-booking service Prebooking submission resource 202 Accepted Location: ... Content-Location: ... { <task-status-repr> }
  • 55.
    Use case: Prebookingcampaigns AWS Cloud Data lake ingestion service Ride-booking service / Prebooking processing resource Further decoupling Prebooking notification buffer queue Prebooking processing buffer queue Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } Prebooking notification topic Ride-booking service Prebooking submission resource 202 Accepted Location: ... Content-Location: ... { <task-status-repr> }
  • 56.
    Use case: Prebookingcampaigns AWS Cloud Data lake ingestion service Further decoupling Prebooking notification buffer queue Prebooking processing buffer queue Wild Rydes customer Wild Rydes customer app https://... submit-ride-prebooking { "from": "...", "to": "...", "when": "...", "customer": "..." } Prebooking notification topic Ride-booking service Prebooking submission resource 202 Accepted Location: ... Content-Location: ... { <task-status-repr> } Massive campaign with CTA: No, really! Book now! Ride-booking service / Prebooking processing resource
  • 57.
    Use case: Prebookingcampaigns Wild Rydes customer Wild Rydes customer app https://... AWS Cloud Data lake ingestion service Action=SendMessage &MessageBody=... ... Prebooking notification topic Even further decoupling Prebooking notification buffer queue Prebooking processing buffer queue Prebooking submission buffer queue 200 OK ... <SendMessageResponse> ... </SendMessageResponse> Ride-booking service Prebooking submission resource Ride-booking service / Prebooking processing resource
  • 58.
    © 2021, AmazonWeb Services, Inc. or its affiliates. All rights reserved.
  • 59.
    Use case: Instantride RFQ Wild Rydes customer Wild Rydes customer app https://... submit-instant-ride-rfq AWS Cloud Ride-booking service { "from": "...", "to": "...", "customer": "..." } Scatter-gather 202 Accepted Location: ... Content-Location: ... { "links": { ... }, "status": "...", "eta": "..." }
  • 60.
    Use case: Instantride RFQ Wild Rydes customer Wild Rydes customer app https://... submit-instant-ride-rfq AWS Cloud Ride-booking service { "from": "...", "to": "...", "customer": "..." } Request for quotes topic Scatter-gather 202 Accepted Location: ... Content-Location: ... { "links": { ... }, "status": "...", "eta": "..." }
  • 61.
    Unicorn Management Service Usecase: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... submit-instant-ride-rfq AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource { "from": "...", "to": "...", "customer": "..." } Request for quotes topic Scatter-gather … 202 Accepted Location: ... Content-Location: ... { "links": { ... }, "status": "...", "eta": "..." }
  • 62.
    Unicorn Management Service Usecase: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... submit-instant-ride-rfq AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource { "from": "...", "to": "...", "customer": "..." } Request for quotes topic Scatter-gather RFQ response queue … 202 Accepted Location: ... Content-Location: ... { "links": { ... }, "status": "...", "eta": "..." }
  • 63.
    Unicorn Management Service Usecase: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... submit-instant-ride-rfq AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource { "from": "...", "to": "...", "customer": "..." } Request for quotes topic Scatter-gather 202 Accepted Location: ... Content-Location: ... { "links": { ... }, "status": "...", "eta": "..." } RFQ response queue …
  • 64.
    Unicorn Management Service Usecase: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... retrieve-rfq-status AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource Request for quotes topic Scatter-gather RFQ response queue …
  • 65.
    Unicorn Management Service Usecase: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... retrieve-rfq-status AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource Request for quotes topic Scatter-gather RFQ response queue … 200 OK { "links": { ... }, "status": "running", "eta": "..." }
  • 66.
    Unicorn Management Service Usecase: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... retrieve-rfq-status AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource Request for quotes topic Scatter-gather RFQ response queue … 200 OK { "links": { ... <link-to-result> ... }, "status": "done" }
  • 67.
    Unicorn Management Service Usecase: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... retrieve-rfq-result AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource Request for quotes topic Scatter-gather RFQ response queue …
  • 68.
    Unicorn Management Service Usecase: Instant ride RFQ Wild Rydes customer Wild Rydes customer app https://... retrieve-rfq-result AWS Cloud Ride-booking service Unicorn management resource Unicorn management resource Unicorn management resource Request for quotes topic Scatter-gather RFQ response queue … 200 OK { "links": { ... }, "from": "...", "to": "...", "quotes": "..." }
  • 69.
    © 2021, AmazonWeb Services, Inc. or its affiliates. All rights reserved.
  • 70.
    Resources AWS blogs andother content on messaging and application integration https://aws.amazon.com/messaging/ https://aws.amazon.com/event-driven-architecture/ https://aws.amazon.com/blogs/compute/category/messaging/ The German-language AWS-Podcast Keep in mind Loose coupling is always better than lousy coupling bit.ly/aws-podcast
  • 71.
    Vielen Dank für’sZuschauen! Dennis Traub, Developer Advocate, Amazon Web Services Twitter: @dtraub Podcast: bit.ly/aws-podcast