You can see the presentations and information from past GridGain meetups around the world below.
During this community gathering, we will discuss the latest Ignite releases. - Apache Ignite 2.12 overview - Apache Ignite 3 Alpha 4: The Next Milestone - Transactions API in Apache Ignite 3 Useful links:
Building a low-code BaaS platform on Apache Ignite In this talk we're going to take a deep dive into Hypi's journey designing and scaling its low-code backend as a service platform with Apache Ignite at its core.
Join Code Fest 2021 on August 14 to learn more about using In-Memory in the cloud from GridGain expert Stephen Darlington.
On July 29, Konstantin Budnik (ASF Member, Apache Ignite PMC and one of the key Apache Hadoop developers) and Denis Magda (ASF Member and Apache Ignite PMC) are visiting the Russian Apache Ignite Meetup. They will discuss open-source in a slightly unusual way for our meetings:
The Alpha build of the next Apache Ignite major version is available for internal testing at https://github.com/apache/ignite-3 During this session, we will:
Join Seattle Java User Group and Val Kulichenko on April 20. During the session, we create a simple (although fully workable) distributed cache in Java, almost from scratch. We use the cache to demonstrate basic CRUD operations, as well as to demonstrate how scalability can be improved by adding resources to the system.
In this talk, we describe and show how to use Apache Ignite and JBoss Drools to design a complex event processing (CEP) solution. The solution processes and correlates millions of events per second from a publish/subscribe message broker and another kind of events streamer.
Join Chicago PostgreSQL Meetup Group to learn about some of the internal mechanisms that distributed systems use to achieve the required goals. Val Kulichenko describes the minimal architecture of distributed data storage—the main components and how the components work together.
Join London Java Community and Val Kulichenko to learn more about distributed databases. Distributed databases are becoming more and more popular. Social networks, online banking, and retail—these are only a few examples of applications that might require horizontal scalability to achieve the performance, capacity, and availability that organizations require.
Join Boston Java Meetup on March 29
Building a scalable, multi-tenant backend for a Java-based, ML-driven Jira Cloud application imposes many requirements on the underlying technology stack. It is not uncommon to fulfill the requirements by combining pieces of technology—such as SQL and NoSQL databases, ORM tools, message brokers, load balancers, caching layers, ML pipelines, and web servers.