RETIT presents „Observing Cloud-Native Java Apps using OpenTelemetry on AWS, GCP and Azure“ and „Investigating the Performance of Reactive Libraries in a Quarkus Microservice“ at JavaLand 2022

We’re happy to announce that RETIT will be presenting two talks at JavaLand 2022: Bernhard Lubomski will give a talk about Observability in AWS, GCP and Azure using OpenTelemetry on 2022/03/15 and Denis Angeletta will hold a talk on Performance of Reactive Libraries in Quarkus Microservices, also on 2022/03/15.

You’ll find summaries of of talks here:

Observing Cloud-Native Java Apps using OpenTelemetry on AWS, GCP and Azure

All major cloud providers (AWS, GCP, Azure) have recently introduced support for OpenTelemetry, a young opensource observability framework, which provides insights into any software during runtime by means of distributed traces, metrics and logs. The OpenTelemetry Java auto-instrumentation capability supports a wide selection of popular Java frameworks (e.g., Java EE, Spring, Quarkus) and makes it very easy to collect telemetry data for your Java applications. In this talk, we will introduce the architectural fundamentals of OpenTelemetry and show how it can be integrated into your Java cloud applications on AWS, GCP and Azure. We will explain how the cloud providers leverage the traces and metrics collected from an application instrumented with OpenTelemetry and which tools they offer, enabling you to explore this information and analyze how your Java software behaves in the cloud.

Investigating the Performance of Reactive Libraries in a Quarkus Microservice

What’s the performance benefit of using reactive libraries in Java applications? Can I go step-by-step, or do I need to go all-in and refactor the whole code to gain performance benefits of these reactive libraries? If you are dealing with similar questions, this talk is for you!

In this talk, we will review different refactoring options for a Quarkus-based Microservice using frameworks such as RESTEasy Reactive, Hibernate reactive and Mutiny from a performance perspective. For every library used in the demonstration we will outline examples before taking a look at performance data (i.e., response time and throughput) of different implementation variants.

JavaLand 2022 takes place from 15. – 17. March. You’ll find further information and can register to participate at:

We’re looking forward to meeting you there!