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Serverless + APIM

Serverless + APIM

This is the presentation I used at Microsoft Startup Bootcamp to cover a Serverless app development approach on Azure including various tools but primarily focusing on Azure Functions and Azure API Management.

Daron Yondem

February 12, 2022
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Transcript

  1. Serverless != Microservices • You can have a fleet of

    EC2 instances, running containers, orchestrating and still worry about infrastructure. • You can have dozens of functions tightly coupled and delivered as a behemoth.
  2. Talking Serverless on Azure Serverless Functions – Azure Functions Serverless

    Containers – Azure Container Instances Serverless NoSQL – Cosmos DB Serverless SQL – Azure SQL Database Serverless Tier Serverless Eventing – Event Grid + Hub Serverless API Management – Consumption Tier APIM
  3. Azure Functions 101 • Javascript (Node.js 14) • C# /

    F# (.NET 6) • Java 11 & 7 • Powershell 7 • Pyhton 3.9, 3.8 • Go / Rust (Custom Handlers / Unofficial)
  4. What for? • Timer-based processing • SaaS Event Processing •

    Full Serverless Architecture • Real-Time Stream Processing • Real-Time Bot Messaging • Serverless API Backends
  5. Where? • Azure Public Cloud • Azure Arc everywhere (AWS,

    GCP, On-Prem) • Wherever you have Kubernetes through KEDA • Self scale with custom containers. • On my machine!
  6. Billing Model? • Consumption Plan • Execution Time GB-s •

    Execution Count • Premium Plan • VNet Access • vCPU / Second (Min 1) • Memory Allocated (Second) • Functions on Kubernetes – Kind of Free • Functions in App Service Plan – Kind of Free
  7. Authentication • Anoymous • Function Key • Host Key •

    Federated Identity through App Service • Azure AD, Facebook, Google, Twitter, OpenID • Managed Identity • Certificate Authentication
  8. Function Triggers and Bindings • A trigger defines how a

    function is invoked. • Triggers have associated data, which is usually the payload that triggered the function. • Input and output bindings provide a declarative way to connect to data from within your code.
  9. What you can do with timer triggers? • Run at

    explicitly specified intervals, like every day at 2:00 am using CRON expressions, like “0 */5 * * * *“ (every 5 minutes) • Can send information to other systems, but typically don’t “return” information, only write to logs • Great for redundant cleanup and data management • Great for checking state of services • Can be combined with other functions
  10. Stateful Functions and Workflows! • Stateful functions • Managed state,

    checkpoints, and restarts when needed. • Define stateful workflows in orchestrator functions. .
  11. Problem 1 : Function Chaining • No visualization to show

    relationship between functions and queues. • Middle queues are an implementation detail – conceptual overhead. • Error handling adds a lot more complexity.
  12. Problem 2 : Fan-out/Fan-in • Fanning-out is easy, but fanning-in

    is more complicated. • Functions offers no help with this scenario today • All the same problems of the previous pattern
  13. Eventing! Event Hub • Receiver polls • Retention up to

    7 days • Ability to playback • Big data guy. • Low latency • At least once delivery Event Grid • Sends HTTP to receiver • Distributes (dead-lettering optional, 1 day retry) • No delivery order guarantee • Deeply integrated into Azure. • At least once delivery • Low cost • Serverless
  14. Messaging • Service Bus on stage! • Reliable asynchronous message

    delivery • Requires polling • FIFO, transactions, routing, duplicate detection and so on.
  15. Why Azure API Management? • Rate limiting • Access Policies

    • Caching • Subscriptions • Licensing • Analytics • Developer Portal • and so on…
  16. Further learning… Create serverless applications • https://drn.fyi/3HKvZho Architect message brokering

    and serverless applications in Azure • https://drn.fyi/3HJz8OB Build serverless, full-stack applications in Azure • https://drn.fyi/3Bis1u6