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Design patterns for microservices
Masashi Narumoto
Principal Lead PM
AzureCAT patterns & practices
Scheduler
Package
Drone
Delivery
Mobile
app
Query
Delivery
History
RequestEvents
GW
Status
3rd party
Service
Account
Service
DroneMgmt
Service
Microservices in
Shipping BC
AAD
Auth
Service
3rd party
transportation
Account
Ingestion
Delivery
Analysis
Archive
Supervisor
Drone events
Load levelingGW- routing
Throttling
Circuit breaker
Bulkhead
Sidecar
GW- offloading
Event sourcing
Ambassador
Materialized
View
Scheduler-agent-Supervisor
Sidecar
Ingestion
Monitoring
Analytics
Proxy
Monitoring
Proxy
C# Python
Sidecar
Pod
Ingestion
Monitoring
Proxy
Analytics
Monitoring
Proxy
Pod
HTTP/REST
Shared file
Other language neutral I/F
Ambassador
Service A Service B
Proxy Proxy
• Retry
• Circuit breaking
• Authentication
• Load balancing
• Routing
• Trace
Ambassador
Delivery
Envoy
Scheduler
Package
Account
Drone
3rd
party
Envoy
Envoy
Envoy
Envoy
• Trace
• Retry
• Circuit breaking
• Authorization
• Load balancing
• Routing
Envoy
Ingestion
Envoy
Retry
Delivery
Envoy
Scheduler
Package
Account
Drone
3rd
party
Envoy
Envoy
Envoy
Envoy
Envoy
Ingestion
Envoy
Retry 5 times
Circuit breaker
Delivery
Envoy
Scheduler
Package
Account
Drone
3rd
party
Envoy
Envoy
Envoy
Envoy
Envoy
Ingestion
Envoy
Request failed
Circuit breaker pattern
Gateway routing
Package
Drone
Scheduler
Delivery
Fabrikam.com/api/deliveries
User
Ingestion Event HubAPI GW
Delivery
V2
Scheduler-agent-Supervisor
PackageEvent Hub
Drone
Scheduler
Delivery
Supervisor
Detect and restore failed operations
Manage the workflow
Scheduler-agent-Supervisor
PackageEvent Hub
Drone
Scheduler
Delivery
QueueO Step1
O Step2
X Step3
Supervisor
How to recover from inconsistent state?
Compensating transactions
PackageEvent Hub
Drone
Scheduler
Delivery
Package created
for ID XYZ
Drone was allocated
for ID XYZ
New request with ID XYZ
Cancel partially succeeded
operations
D
T
C
QueueID=XYZ
O Step1
O Step2
X Step3
Supervisor
Event sourcing
Delivery
Drone events
Update
delivery status
- Drone was scheduled
- Package was picked up
- On route
- Completed
Drone was scheduledPackage was picked upOn routeCompleted
History?
Event sourcing
Delivery
Drone events
- Drone was scheduled
- Package was picked up
- On route
- Completed
Drone was scheduled
On route
Completed
Package was picked up
Current status?
Replay
Materialized view
Function as a Service
(Azure Functions)
Azure Data lake
Event Hub
Event Hub Capture
Full
schema
• Analytics
• Audit
• Reporting
• Status inquiry
History
(Query)
Delivery history service
Http binding
Delivery
Status inquiry
Materialized view
Function as a Service
(Azure Functions)
Azure Data lake
History
(Archive)Event Hub
Event Hub Capture
Full
schema
Subset
Of
schema
• Analytics
• Audit
• Reporting
• Status inquiry
History
(Query)
CosmosDB
Delivery history service
Http binding
Event Hub
binding
Cosmos DB
binding
Delivery
Status inquiry
Materialized View
Bulkhead
Package Drone Delivery
Node
Package
Bulkhead
Package Drone Delivery
Node
Load leveling
Azure Redis
Scheduler
CosmosDB
Ingestion
Package
Delivery
100K rps 100K rps
100K rps
100K rps
Delivery
100K
10K
100K rps
Load leveling
Azure Redis
SchedulerEvent Hub
CosmosDB
Ingestion
Package
Delivery
100K rps 10K rps
10K rps
10K rps
IoT Hub
React
10K rps
Throttling
SchedulerEvent HubGateway
Package
Delivery100K rps
10K rps
IoT Hub
React
10K rps
Ingestion
Anticorruption layer (ACL)
Your context Other context
Anti-corruption layer
Adapter
Translator
facade
Façade: Alternative interface to other context
Adapter: Make requests to other context
Translator: Translate the semantics
Existing system
Infrastructure
Protocol
Data model
API signature
Other semantics
Strangler pattern
User Interface
Business Logic
Data Access
Database
Client
Strangler facade
Health endpoint monitoring
Scheduler
Kubernetes cluster management
Package
Drone
Delivery
Readiness
probe
DeliveryScheduler
Package
Drone
Delivery
CosmosDB
Redis
Mobile
app
CosmosDB
Delivery
History
DeliveryEvents
RequestEvents
GW
Status
3rd party
Service
Account
Service
DroneMgmt
Service
Storages in Shipping BC
AAD
Account
Service
Auth
Service
3rd party
transportation
Account
RequestHandler
Delivery
Analysis
Supervisor
Batch events into a single message
to reduce #trx, #execution
ADLS
Drone events
Failed ops
Eventual consistency
Delivery Redis
CosmosDB
Delivery
History
DeliveryEvents
ADLS
GW User profile
Order process
Delivery status
inquiry
Order history inquiry
CosmosDB
Delivery XYZ accepted Delivery XYZ accepted
>7 days
completed completed

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Microservices design patterns

Editor's Notes

  1. So far we discussed benefits and challenges of MSA. Those benefits wouldn’t come for free. You need to design your app in a way that you get most out of it. Same as challenges, you can design your app to deal with them. Let’s talk about how we can design your application. You can copy&paste code or script but not design.
  2. How delivery service know its status? Is it coming from delivery mgmt service? (pull or push) Do we want to merge requestHandler and GW? GW does only token checking, delegate auth to auth service in account BC Why it has Package, Drone, Delivery as service but no service for account and 3rd party? Do we need them? Why doesn’t delivery service contain drone and package aggregate? Does drone need persistent storage or cache? What is the best API style? Depending on the responsibility and latency req of the drone service in this context, it can be just caching status Every event from drone come via EventHub to only DroneMgmt or + Delivery service? Scheduler does validation and return 501 (bad request) if it fails Account service subscribes delivery events and do the following once it’s completed Collect ratings, send emails, schedule payment
  3. Augmenting core functions with sidecar, configuring NGINX etc.
  4. Ambassador = Forward proxy collocated with comsumer
  5. Envoy works with control plane to provide these features.
  6. ADLS is not designed for random read
  7. Connection pool to DB Thread pool
  8. 1 CPU= 1 Azure vCore These numbers should be based on perf/stress/soak testing Similarly you can configure resource quotas at namespace (Test vs Prod)
  9. If it’s constant load, there’s no choice other than provision the enough resources But if it’s peak load, we can buffer them and process them at your own pace.
  10. If it’s constant load, there’s no choice other than provision the enough resources But if it’s peak load, we can buffer them and process them at your own pace.
  11. If it’s constant load, there’s no choice other than provision the enough resources But if it’s peak load, we can buffer them and process them at your own pace.
  12. Semantics between two context are often different, especially with old system. New model would corrupt by dealing with lots of old models in ad hoc fashion. 3 logical components in implementing ACL. Façade is normally given as framework/platform
  13. Strangler is the stuff that covers the tree, so you don’t see what’s inside.
  14. The problem that this pattern solve is this. Users used to access this feature in the old app but now it’s moved in to the new app. We use it as analogy here. From outside the system, users don’t see what’s going on inside the system.
  15. How delivery service know its status? Is it coming from delivery mgmt service? (pull or push) Do we want to merge requestHandler and GW? GW does only token checking, delegate auth to auth service in account BC Why it has Package, Drone, Delivery as service but no service for account and 3rd party? Do we need them? Why doesn’t delivery service contain drone and package aggregate? Does drone need persistent storage or cache? What is the best API style? Depending on the responsibility and latency req of the drone service in this context, it can be just caching status Every event from drone come via EventHub to only DroneMgmt or + Delivery service? Scheduler does validation and return 501 (bad request) if it fails Account service subscribes delivery events and do the following once it’s completed Collect ratings, send emails, schedule payment