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:
During this community gathering, we will discuss the latest Ignite
releases: Apache Ignite 2.11 and Apache Ignite 3.0, Alpha 3.
We invite you to the next offline meeting of Apache Ignite in
Moscow, Russia. Participation is free, registration is required. Register here.
Program: 19:00 ‒ Welcome coffee
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.
The key developers of the Apache Ignite distributed database, the
engineers at GridGain, are giving their tasks to taste again. All backend
developers are invited to participate: knowledge of Java is desirable, but not
required. What's in store for you?
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.