Events and Webinars

In this demo-driven session, you will learn how to enable tracing in your Ignite application, how to collect and analyze span data, and how to debug the various parts of the application lifecycle.

By the end of this webinar, you will understand how powering customer-facing applications with in-memory computing can accelerate and scale them out and enable new business opportunities. You will also understand the basics of how these systems can be easily integrated with your existing applications and datastores, with no rip-and-replace of existing infrastructure, and how companies have leveraged these capabilities to create great customer experiences for millions of customers.

Join us for this webinar to learn about the various Ignite deployment options for database acceleration.

This talk will focus on reactive programming and how to use Apache Ignite to build a serverless computation framework that is based on reactive streams (Perper).

Join us for this webinar to learn how to overcome these challenges by leveraging the Apache Ignite ML framework to implement a continuous machine learning (CML) platform. The CML platform can run the ML compute code on the same cluster that has the transactional data without having a performance impact on the transactions system. As a result, ML models can be updated in real-time using the latest available data.

By the end of this webinar, you will learn the difference between using Apache Ignite as a cache, as an IMDG, and as an IMDB. You will be able to create, configure and deploy an Ignite In-Memory Database.