Kevin Dubois, Daniel Oh
Serverless Java in Action: Cloud Agnostic Design Patterns and Tips
#1about 2 minutes
The business case for serverless computing
Serverless computing addresses the challenge of matching resources to fluctuating application workloads, which saves money and improves reliability.
#2about 1 minute
Why traditional Java was too slow for serverless
Java's historically long startup and warmup times made it a poor fit for serverless functions compared to lighter languages like JavaScript or Go.
#3about 2 minutes
Using Quarkus and GraalVM for fast Java startup
Modern cloud-native frameworks like Quarkus use native compilation with GraalVM to achieve sub-second startup times and a small memory footprint.
#4about 4 minutes
Writing cloud-agnostic functions to avoid vendor lock-in
Using abstractions like Quarkus Funqy allows developers to write a single serverless function that can be deployed to AWS Lambda or Azure Functions without code changes.
#5about 2 minutes
The hidden vendor lock-in of serverless container platforms
Even when using portable containers, proprietary cloud services for gateways and eventing can still lock your architecture into a single provider.
#6about 4 minutes
Building a portable serverless platform with Knative
Knative extends Kubernetes to provide open-source, cloud-agnostic serverless capabilities, including auto-scaling and eventing with standards like CloudEvents.
#7about 8 minutes
Live demo of an auto-scaling event-driven application
A live demonstration shows a Quarkus application on Knative scaling from zero to over 45 pods in seconds to handle a request burst.
#8about 3 minutes
Key takeaways for building portable serverless Java applications
The main benefit of this approach is the ability to redeploy a serverless application to a different cloud provider in minutes without any code changes.
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