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Serverless-Architekturen:
Event-getriebene Microservices
mit Azure Functions & Co. – auch für Java-Entwickler
Christian Weyer
@christianweyer
CTO
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§ Founder & CTO at Thinktecture AG
§ Personal focus on
§ Mobile & web-based application architectures
§ Interoperability, cross-device
§ Pragmatic end-to-end solutions
§ Cloud-native & serverless architectures
§ Independent Microsoft Regional Director
§ Microsoft MVP for ASP.NET (Architecture)
ASPInsider, AzureInsider
§ Google GDE for Web Technologies
[email protected] @christianweyer https://www.thinktecture.com
Christian Weyer
Serverless-Architekturen
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
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§ Microservices, Nanoservices
§ Serverless in Azure
§ Serverless Compute: Azure Functions
§ Serverless Messaging: Azure Service Bus
§ Summary
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
Serverless-Architekturen
Our Journey Today
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How large is small?
Microservices
Serverless-Architekturen
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
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Single Responsibility
§ Focused around business domain
§ ‘Small’
Isolation
§ Well-defined technology-
agnostic API
§ Mobility
§ Choice of technology
Autonomy
§ Exclusive state (data storage)
Decoupling
§ Asynchronous communication
§ Really, always?
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
Serverless-Architekturen
(Some) Principles of Microservices
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Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
Serverless-Architekturen
Sample Architecture – Shopping Order Monitoring
Orders
Service
Products
Service
Shipping
Service
AuthN
Service
Order Monitoring
SPA
Shopping Web Site
(simulated by Postman)
1 - authenticate
2 - register for push
3 - send new order
5 - new order created push
6 - get
updated orders
4 - processing order…
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A different approach
Serverless
Serverless-Architekturen
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
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§ We can choose from a continuum
§ VM ➔
§ Containers ➔
§ Orchestrators ➔
§ PaaS ➔
§ Serverless
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
Serverless-Architekturen
Evolution to Cloud Compute Continuum
PaaS
IaaS
On-Premises Serverless
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What Do We Want – With & From Serverless?
Programming Model
(FaaS)
§ Event-driven
§ Stateless
§ Service-full
Operational Model
§ Fully managed
§ Automatically scaling
§ Usage priced
Serverless-Architekturen
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
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§ Serverless Compute → Azure Functions
§ Serverless SQL Database → Azure SQL Serverless (Preview)
§ Serverless NoSQL Database → Azure Cosmos DB
§ Serverless Storage → Azure Storage
§ Serverless Realtime
§ → Azure SignalR Service
§ Serverless Events → Azure Event Grid
§ Serverless Messaging → Azure Service Bus
§ Serverless Workflows → Azure Logic Apps
Azure Durable Functions
§ Serverless IoT → Azure IoT Hub
§ Serverless Analytics → Azure Application Insights
§ Serverless Containers → Azure Container Instances
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
Serverless-Architekturen
Serverless in Azure (my personal choice)
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Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
Serverless-Architekturen
Sample Architecture – Shopping Order Monitoring: Serverless
Orders
Service
Products
Service
Shipping
Service
AuthN
Service
Order Monitoring
SPA
Shopping Web Site
(simulated by Postman)
Azure
Function
App –
C#
Azure
Function
App - C#
Azure
Function
App - JS
Azure
Function
App -
Java
Azure
Service
Bus
Azure Blob
Storage
Azure
SignalR
Service
Azure Table
Storage
Azure
Cosmos DB
Identity
Server
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Azure Functions
Serverless Compute
Serverless-Architekturen
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
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§ Azure Functions: code being triggered by an event
§ Use Façade pattern for your business logic
§ Basic principles enable powerful use cases
§ Events ➔ Triggers & Bindings
§ Two ways of operation
§ Cost-optimized, automatic scale
(Consumption plan)
§ Always-on (App Service plan)
§ V2 Runtime built on .NET Core
§ Available for self-hosting
§ Local tooling & runtime
§ Multiple language bindings supported
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
Serverless-Architekturen
Azure Functions: Functions-as-a-Service
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§ Incoming event
triggers function
§ Input bindings enable
easy access to data
from various data sources
§ Output bindings offer
easy access to outbound
data sinks
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
Serverless-Architekturen
Functions Triggers & Bindings
Your code logic
Runtime
Azure Function
HTTP
Trigger
Storage
Input
Binding
Push
Notification
Output
Binding
Database
Output
Binding
Email
Output
Binding
Example
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Functions Triggers & Bindings in Code
Serverless-Architekturen
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
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§ Azure Functions host instances are automatically managed
§ Spawning new instances → cold start
§ Reusing existing instances → warm start
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
Serverless-Architekturen
Scalability: Cold vs. Warm Start
https://azure.microsoft.com/en-us/blog/understanding-serverless-cold-start/
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Azure Service Bus
Serverless Messaging
Serverless-Architekturen
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
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§ Queues & Topics
§ Reliable asynchronous communication
§ Rich features for temporal control
§ Routing and filtering
§ Transactions
§ Convoys & Sessions (related messages with state)
§ Bindings for Azure Functions available
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
Serverless-Architekturen
Service Bus: Messaging-as-a-Service
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Sender
§ Sender sends message to queue
§ Queue ACKs receipt
§ Receiver connects to queue & retrieves message
§ Receiver ACKs complete (or other action)
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
Serverless-Architekturen
Service Bus Queues
Receiver
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Wrapping up
Serverless-Architekturen
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
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Single Responsibility
§ Focused around business domain
§ ‘Small’ unit
➡ Dedicated Azure Functions App
➡ Dedicated Azure DevOps Pipeline
Isolation
§ Choice of technology
➡ .NET, Java, node.js, Python supported
§ Well-defined technology-agnostic APIs
➡ HTTPS, AMQP, MQTT, custom
§ Mobility
➡ Portable runtime
➡ Can use Docker, k8s with Functions
➡ Easily deploy & run in Cloud
Autonomy
§ Exclusive state (data storage)
➡ Use separate Azure Storage, Azure
SQL, Azure CosmosDB instances
Decoupling
§ Asynchronous communication
➡ Azure Service Bus with queues or
topics & subscriptions
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
Serverless-Architekturen
(Some) Principles of Microservices – with Serverless Azure
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§ Serverless (as FaaS) is just one option in the Cloud Continuum
§ Always think about the use cases and requirements
§ We can build Microservices with FaaS today – esp. for greenfield,
if the granularity fits
§ Today limits like programming model lock-in, cold starts
§ Serverless Azure offers various solutions in the Serverless space
§ Storage
§ Functions
§ Service Bus
§ SignalR Service & more
§ Azure Functions is way more than just a Web API framework –
preferred for async decoupled processing
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
Serverless-Architekturen
Summary
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Remember: there are NO servers!
https://twitter.com/jeffhollan/status/1030244102082682880
Serverless-Architekturen
Event-getriebene Microservices mit Azure Functions und Co. – auch für Java-Entwickler
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Chris&an Weyer, Thinktecture AG @chris&anweyer chris&[email protected]
h:ps://github.com/thinktecture/serverless-microservices