Events and Webinars

Apache Ignite and Spark are complementary in-memory computing solutions that can be used together to achieve superior performance and functionality to process SQL data.

Spring is a popular framework, and Apache Ignite is a fast layer for data storage. Adding Ignite enables you to manage http sessions, cache-application data, and so on.

In this webinar, Vladimir begins with an overview of the Apache Ignite distributed SQL engine. Then, Vladimir talks about basic diagnostic techniques, such as using metrics, tracing, and logs. You see examples of how the techniques can be used to identify SQL issues. At the conclusion of the webinar, you receive a checklist, that will help you quickly identify common SQL issues and improve performance.

The latest release of the GridGain in-memory computing platform features enhanced support for the platform’s multi-tier database engine, that scales up and out across memory and disk.

During this webinar, we review various approaches to storing and using authentication data in distributed applications.

During this webinar, you learn the difference between in-memory clusters and persistent clusters, move step by step through the configuration, and use The GridGain Operator for Kubernetes to deploy Apache Ignite in AWS.