What if your REST endpoint could handle requests twice as fast? See how a reactive approach with Quarkus makes it possible by never blocking the main thread.
#1about 4 minutes
Comparing reactive and imperative code performance
A sample application demonstrates how reactive REST endpoints and web UIs can be twice as fast and more resource-efficient than traditional synchronous code.
#2about 2 minutes
Core principles of the reactive manifesto
Reactive systems are defined by being elastic for scalability, resilient against failures, and responsive for fast user feedback.
#3about 3 minutes
The learning curve of reactive programming in Java
Reactive programming requires a different mindset for concepts like chained methods and callbacks, which can make initial learning and debugging more challenging.
#4about 5 minutes
Exploring the Quarkus reactive technology stack
The stack is built on Quarkus for performance, which integrates MicroProfile for microservice APIs, Vertex as the reactive engine, and Kubernetes for deployment.
#5about 6 minutes
Building non-blocking APIs with CompletionStage
Reactive endpoints use CompletionStage and CompletableFuture to immediately return a future, preventing the main thread from blocking while processing requests.
#6about 4 minutes
Handling exceptions and timeouts asynchronously
Instead of try-catch, reactive code uses methods like 'exceptionally' to handle errors and 'orTimeout' to prevent long-running operations from blocking resources indefinitely.
#7about 2 minutes
Calling microservices asynchronously with MicroProfile
The MicroProfile REST Client simplifies asynchronous communication between services by letting you define a Java interface that handles networking and serialization automatically.
#8about 6 minutes
Streaming data to web clients with SSE
MicroProfile Reactive Messaging consumes events from Kafka, and a Server-Sent Events (SSE) endpoint streams these updates directly to the browser for a real-time UI.
#9about 2 minutes
Exploring the open source sample project on GitHub
The sample project is available on GitHub with documentation and setup scripts to help you quickly run and learn from the reactive microservices examples.
#10about 5 minutes
Deploying reactive apps and key takeaways
Managed platforms like IBM Cloud and OpenShift simplify deployment, and open source tools like Quarkus make building efficient, reactive systems accessible to all developers.
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