Learn About GridGain and Apache Ignite

The GridGain technical presentations below are designed to help you understand, configure, and deploy GridGain® and Apache® Ignite in-memory computing solutions for use in your application production environment. They have been developed and posted by GridGain and other in-memory computing experts. These presentations are a free resource that can be watched more than once.


As an in-memory computing platform, GridGain® and Apache Ignite support native persistence that stores data and indexes transparently on non-volatile memory, SSD or disk.
Learn how companies have added speed and scale to PostgreSQL deployments for different use cases. This webinar will cover the various options available and when each option makes sense. It will also cover how to evolve your architecture over time to add the speed, scale, agility and new technologies needed for digital transformation and other initiatives.
In this Webinar, Yuri Babak, the head of ML/DL framework development at GridGain and major contributor to Apache Ignite, will explain how ML and DL work with Apache Ignite, and how to get started. Topics include:
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In this webinar, you will learn how to add speed and scale to your Oracle Database, Oracle-based applications, APIs and analytics for different use cases. We will discuss when each option makes sense, as well as how to evolve your architecture over time to add the speed, scale, agility and new technologies needed for digital transformation and other initiatives.
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In this webinar, using examples, we will cover the specifics of how to use Node.js with Ignite, including:
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In this session, you will understand best practices about how to: Configure Ignite and GridGain for deployment, management and monitoring Leverage log files during troubleshooting Use monitoring interfaces and tools such as JMX, Visor and Web Console Identify and fix top errors for newly installed and existing deployments
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Topics covered include: Transactional SQL Deep learning with TensorFlow Thin client support for Node.js, Python, PHP Transparent encryption for Ignite persistence
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By the end of this session you'll understand: How an IMDG adds speed and scale without requiring you to rip out and replace existing databases or applications Typical projects where an IMDG makes sense as a first project Best practices implementing the first IMDG project and preparing for future projects including real-time analytics, new applications and APIs,
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Learn how companies have been using Apache® Ignite™ to add in-memory speed and unlimited horizontal scale to SQL with no rip-and-replace of the underlying database. This session will explain how to:
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Learn some of the best practices companies have used for making Apache Ignite and Apache Kafka scale. Making stream processing scale requires making all the components—including messaging, processing, storage—scale together. During this 1-hour webinar by GridGain Systems Professional Services Consultant Alexey Kukushkin, you will learn how.
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With real-time streaming analytics there is no room for staging or disk.  Learn the best practices used for real-time stream ingestion, processing and analytics using Apache® Ignite™, GridGain®, Kafka™, Spark™ and other technologies. 
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This webinar will explain with examples how to:
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This 60-minute hands-on session will: Explain how GridGain Cloud works Walk through step-by-step how to create an account, start a cluster, load and query data using ANSI-99 SQL Demonstrate how to build applications that accesses data using a REST API, ODBC/JDBC or a binary thin client
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Learn how Kubernetes can orchestrate a distributed database or in-memory computing solutions using Apache Ignite as an example.
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