Webinars for Developers

GridGain® webinars present information on a variety of in-memory computing topics, and are often co-hosted with other in-memory computing customers or thought leaders. Topics include in-depth analyses and recommendations for common issues faced by in-memory computing developers, enterprise architects, CIO/CTOs, and other enterprise decision-makers. Different approaches for implementing solutions are reviewed, including solutions using the GridGain in-memory computing platform and Apache® Ignite. The webinars cover enterprise use cases such as high-frequency trading, omnichannel customer engagement, the Internet of Things (IoT), financial services, application performance and scaling, fast data, and more.

All GridGain webinars are archived and available for free online.

Presented by Lalit Ahuja
2024 is the year of real-time analytics.
Presented by Lalit Ahuja
First, there were DBMSs and data warehouses.
Presented by Lalit Ahuja
Enabling the broader adoption of AI and ML analytics use cases is one of the top drivers behind
Presented by Stephen Darlington
Despite ongoing investment in cloud platforms and analytics tools, many companies are still stru
Presented by Greg Stachnick
GridGain Control Center is a comprehensive troubleshooting, management and monitoring solution for Apache Ignite and the GridGain platform. While Apache Ignite and the GridGain platform can enable building high-performance and scalability applications, troubleshooting and monitoring distributed clusters can be tricky.
Presented by Colin Capriati
Running Apache Ignite on Kubernetes can help Ignite developers streamline deployment and management of applications in cloud environments, both private and public. Apache Ignite is Kubernetes-friendly with features that simplify cluster provisioning and minimize the operational and management burden.
Presented by Vladimir Pligin
The latest Apache Ignite release includes many new features, such as expanded thin client support, improved cluster monitoring, and enhanced cluster self-tuning. Join Vladimir as he discusses and demonstrates the key improvements that Apache Ignite 2.10 offers.
Presented by Semyon Danilov
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. During this 1.5 hour session, Semyon uses the Spring framework to create a simple web application and demonstrates how Apache Ignite can empower the application. He walks you through steps such as the following:
Presented by Vladimir Pligin
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…
Presented by Valentin Kulichenko
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. The changes enable customers to leverage the disk tier of the database engine to query much larger data sets, reduce cost of ownership, and secure sensitive or personal data at rest.
Presented by Alexander Gerus
GridGain Nebula, a managed services offering (MSO) for Apache Ignite and GridGain, can offload the management of your in-memory computing environment to provide maximum reliability at a fraction of the cost of staffing an internal team.
Presented by Alexey Kukushkin
Methods for using Apache Ignite to develop manageable applications. The monitoring and managing tools that Ignite provides. Use cases that use popular third-party tools to monitor Ignite.
Presented by Evgenii Zhuravlev
During the webinar, you will learn how to deploy such an architecture by configuring a Debezium Connector and a GridGain Certified Kafka Connector. The demo will show how CDC works, from MySQL to the GridGain cluster.
Presented by Alexander Shapkin
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.
Presented by Denis Mekhanikov
During this webinar, we review various approaches to storing and using authentication data in distributed applications. Moving from the simplest to the most complex models, we consider the pros and cons of each approach. We give special attention to one of the most popular approaches to distributed sessions—single sign-on.
Presented by Denis Magda
The workshop will be especially useful for developers and architects using or considering Apache Ignite in production environments.