The slides for the session about Distributed Application Runtime (Dapr) in the Azure-Israel meetup, 07, September 2020. https://www.meetup.com/AzureIsrael/events/272049090/

1. Moaid Hathot
Software Architect
Moaid.hathot@outlook.com
@MoaidHathot
https://moaid.codes
https://meetup.com/Code-Digest
Dapr: Distributed Application Runtime

2. Microservices
More and more applications are being developed
as distributed applications
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3. Microservices
 Modularity
 Loose service coupling
 Service-independent deployments
 Better scalability
 Better reliability
 Multiple stacks
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4. Microservices – price tag
 Concurrency issues
 Failure handling
 Retry policies
 State management
 Distributed tracing
 Deployment
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5. Microservices – price tag
Less time to develop business logic
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6. Microservices – price tag
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7. About Moaid Hathot
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Moaid Hathot
 Software Architect & Code Jedi @ CodeValue
 Software Craftsmanship advocate
 Clean Coder
 Co-Founder of Code.Digest();
 OzCode Evangelist

8. Microservices – solutions
 Serverless architecture
 Azure Functions & AWS Lambada
 Stateless, event-driven microservices
 Virtual Actor model
 Object-oriented microservices
 E.g Microsoft Orleans
 The cloud takes care of
 Activating, retries, scaling, failure handling
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9. Microservices – solution issues
 Coupled to Stack
 Coupled to cloud providers
 A single application depends on multiple SDKs
 FaaS and Actor integration can be complicated
 FaaS runtimes can be heavy
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10. Dapr
Distributed Application Runtime
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11. Dapr
 Portable, Event-driven runtime for building microservices
 Open Source
 https://github.com/dapr/dapr
 7.4K Github stars
 145 contributors
 28+ new components since launch
 Alpha phase
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12. Dapr
 Supports any platform
 Services knows only HTTP/gRPC
 Can decide to use dedicated SDKs
 Services are not aware of the actual technologies
 Services are not aware of other services
 Everything is configurable via yaml file
 E.g you can switch from Cosmos DB to DynamoDB
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13. Dapr
 Sidecar architecture
 Dapr is isolated via Process or Container from your app
 Two hosting modes
 Self hosting
 Kubernetes
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14. Dapr – self hosting
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15. Dapr – self hosting
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16. Dapr – self hosting
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HTTP/gRPC

17. Dapr – Kubernetes
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HTTP/gRPC

18. Dapr – Kubernetes
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HTTP/gRPC
Container
Container

19. Dapr – Kubernetes
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HTTP/gRPC
Container
Container
Pod

20. Dapr
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21. Dapr – building blocks
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22. Dapr – building blocks
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23. Dapr – building blocks
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24. Dapr – building blocks
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25. Dapr – building blocks
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26. Dapr – building blocks
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27. Dapr – building blocks
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28. Dapr – building blocks
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29. Dapr – Service Invocation
 Every service has an id (name)
 Calling services has to know that id
 HTTP or gRPC
 Takes care of
 Discoverability
 Reliability
 Retries
 Failure handling
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30. Dapr – Service Invocation
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31. Dapr – Service Invocation
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32. Dapr – Service Invocation
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33. Dapr – Service Invocation
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34. Dapr – Service Invocation
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35. Dapr – Service Invocation
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36. Dapr – Service Invocation
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37. Dapr – Service Invocation
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38. Demo
 Run Dapr
 Service Invocation
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39. Dapr – State Management
 The actual store is not known to services
 Support for many platforms, including:
 Redis
 AWS DynamoDB
 Azure Cosmos DB
 MongoDB
 Cassandra
 SQL Server
 More…
 Easy to implement new state store
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40. Dapr – State Management
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41. Dapr – State Management
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42. Dapr – State Management
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43. Dapr – State Management
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44. Dapr – State Management
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45. Dapr – State Management
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46. Dapr - Secrets
 Provides an API for retrieving secrets
 Supports
 Azure KeyVault
 AWS Secret Manager
 GCP Cloud KMS
 GCP Secret Manager
 Kubernetes
 Hashicorp Vault
 More…
 Easy to implement new secret stores
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47. Dapr – Secrets
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48. Demo
 State Management
 Redis
 CosmosDB
 Secret Store
 Azure KeyVault
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49. Dapr – Pub/Sub
 Publish/subscribe pattern
 Used for decoupling services
 Producer send messages to a topic
 Consumers receives messages from a topic
 Dapr APIs provides at-least-once guarantees
 Supports multiple brokers
 Kafka
 RabbitMQ
 Redis Streams
 Azure Event Hubs
 More…
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50. Dapr – Pub/Sub
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51. Dapr – Pub/Sub
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52. Dapr – Pub/Sub
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53. Dapr – Pub/Sub
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54. Dapr – Pub/Sub
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55. Demo
 Pub/Sub
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56. Dapr – Resource Bindings
 Input/Output with cloud resources
 Similar in concepts to Azure Function’s Binding
 Trigger your service or invoke external systems
 Takes care of connections, polling, queuing, etc…
 Benefits
 Focus on Business logic
 Your code is free from SDKs and libraries
 Auto handling for retries & failure recovery
 Switch bindings at run time
 Deploy to different environments without code changes
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57. Dapr – Resource Bindings
 Inputs (partial list)
 Kafka
 RabbitMQ
 AWS Kinesis
 AWS SQS
 GCP Cloud Pub/Sub
 Azure EventHubs
 Azure SignalR Service
 Azure Service Bus Queues
 More…
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58. Dapr – Resource Bindings
 Outputs (partial list)
 Kafka
 RabbitMQ
 AWS Kinesis
 AWS DynamoDB
 GCP Cloud Pub/Sub
 GCP Storage Bucket
 Azure EventHubs
 Azure SignalR Service
 More…
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59. Dapr – Resource Bindings
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60. Dapr – Resource Bindings
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61. Dapr – Resource Bindings
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Cosmos DB
DynamoDB
Event Hubs

62. Demo
 Bindings
 SignalR Binding
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63. Dapr – Observability
 Monitor the Dapr system services
 Including interaction and behaviors
 Integrates with OpenTelemetry
 Supports
 Azure Monitor
 Azure ApplicationInsights
 Elastic Search
 Zipkin
 More…
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64. Dapr – Observability
 Metrics
 Latency, traffic failures, error rate, CPU usage, etc…
 Logs
 Traces, errors, etc…
 Each trace contains hostname, component name and id, more…
 Distributed Tracing
 Debugging and monitoring distributed flows
 W3C tracing
 Health
 Determine health via HTTP endpoint
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65. Dapr - Dashboard
 Web-based UI for Dapr
 View information, logs, etc…
 Support both locally and Kubernetes sidecars
 Can stop running sidecars (Self hosted)
 View sidecars logs
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66. Dapr - Dashboard
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More Info

67. Demo
 Observability
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68. Dapr – Virtual Actors
 The Actor Model
 Self-contained unit of code (actor)
 Actors interacts using via messages
 The runtime manages how, when and where each actor runs
 Dapr implements the Virtual Actors Model
 Takes care of
 Lifetime
 Retries
 Failover
 Concurrency
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69. summary
 Microservices has many benefits
 But also challenges
 Dapr
 Runtime for building microservices
 Any platform, any stack, any environment
 Takes care of a lot of the challenges
 Open Source
 Community
 Demo repo:
 https://github.com/MoaidHathot/Azure-Israel-Dapr-2020
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70. Q
A
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71. Moaid Hathot
Software Architect
moaid.hathot@outlook.com
@MoaidHathot
https://moaid.codes
https://meetup.com/Code-Digest