The GridGain Systems In-Memory Computing Blog
Join one of GridGain's seasoned Customer Success gurus this Wednesday at 11 a.m. Pacific for a free one-hour webinar, Troubleshooting Apache® Ignite™. This live event is for you regardless of whether you are just getting started with Apache® Ignite™ or are a seasoned user. Register here.
Stanislav Lukyanov will be sharing some of the best practices that the…
Join Denis Magda on Feb. 13 for a free one-hour webinar during which he'll introduce and explain everything that's new in Apache® Ignite™ 2.7. Released about two months ago, Apache Ignite 2.7 added Deep Learning and extended languages support. Register here.
Denis Magda is Vice President of the Apache Ignite PMC and GridGain's VP of product management. Before joining GridGain, Denis…
It is widely believed that a distributed cache is a simple way to make everything faster. But if my past experience is any guide, cache misuse can make things even worse.
Let’s examine a few potential scenarios under which a poorly implemented cache could hurt, not help, performance.
Scenario one:
Issue: My database lags, and with your cache it slows down even
How does a…
Introduction
Apache® Ignite™ provides support for a number of major programming languages. Recently, support for additional programming languages has also been added using what is termed as a Thin Client. New Thin Clients include Python, PHP and Node.js.
The characteristics of a Thin Client are as follows:
It is a lightweight Ignite client that connects to a cluster using a standard socket…
Recently a new version of Apache® Ignite™ was released. Let’s examine some of the new features from the .NET perspective.
Thin .NET Client
Before Apache Ignite version 2.4 (in both Java and .NET), there were two cluster connection modes: Server and Client. Basically, the difference between the client mode and server mode boils down to the following: the client nodes…
Introduction
In the previous article, we discussed the steps required to sign-up for a GridGain® Cloud account, created our first cluster, described the two built-in SQL demos and briefly reviewed the monitoring capabilities. In this article, let's look at examples of how to connect to a GridGain Cloud Cluster using two different programming languages.
Recall that in the previous article, we…
In a previous post, we shared an Apache® Ignite™ primer for people new to this exciting this open source project. In it, we touched upon Ignite's key features. Today I'll focus on the commonly asked question: Does Ignite have persistent storage or memory-only storage?
The answer? Both. Native persistence in Ignite can be turned on and off. This allows Ignite to store data sets bigger than can…
Introduction
In 2018, GridGain® previewed GridGain Cloud. GridGain Cloud enables a GridGain cluster to be run as a service. It supports both distributed in-memory computing and persistence. A number of APIs are supported:
JDBC
ODBC
Binary Protocol and Thin Clients
REST
We will look at examples of some of these APIs in this article series.
GridGain Cloud provides compatibility with…
GridGain's Rob Meyer continues his series on in-memory computing best practices this Thursday when he'll be talking about digital transformation and why delivering a responsive digital business is not possible at scale without in-memory computing.
The webinar is titled, "In-Memory Computing Best Practices: Developing New Apps, Channels and APIs" and I suggest registering now to reserve your…
I’ve created a checklist for new users of Apache® Ignite™ to help overcome common challenges I’ve seen people encounter when developing and configuring their first applications with an Ignite cluster. This checklist was put together from questions new users routinely ask the Apache Ignite community on the user and dev lists. If you are new to Apache Ignite, click here for a quick…