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Apache Ignite: Troubleshooting best practices (Feb. 20 webinar)

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 GridGain® Customer Solutions team has used to troubleshoot hundreds of deployments. He'll share how to setup deployments to make them easier to monitor, manage and running properly. In this session, you will see best practice examples on how to:
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Previous Entries

The fourth annual In-Memory Computing Summit North America is just around the corner -- happening Oct. 2-3 near San Francisco. I'm planning another community mixer so keep your evening free following the conference's first day. Details on that soon. But first I need you to register! And here's a bonus for reading this post: I've loaded 5 FREE tickets to the conference when you use the promo code…
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GridGain technology evangelist Akmal Chaudhri delivered the second webinar of his popular highly technical two-part series for software developers and architects on Aug. 28 titled, "In-Memory Computing Essentials for Architects and Developers: Part 2." This free webinar was recorded and is available for playback (and the slides for download) here. Akmal continued his introduction of more of the…
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In this two-part series, we will look at how Apache® Ignite™ and Apache® Spark™ can be used together. Let's briefly recap what we covered in the first article. Ignite is a memory-centric distributed database, caching, and processing platform. It is designed for transactional, analytical, and streaming workloads, delivering in-memory performance at scale. Spark is a streaming and compute engine…
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Apache® Ignite™ is a very versatile product that supports a wide-range of integrated components. These components include a Machine Learning (ML) library that supports popular ML algorithms, such as Linear Regression, k-NN Classification and K-Means Clustering. The ML capabilities of Ignite provide a wide-range of benefits, as shown in Figure 1. For example, Ignite can work on the data in-place…
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In this two-part series, we will look at how Apache® Ignite™ and Apache® Spark™ can be used together. Ignite is a memory-centric distributed database, caching, and processing platform. It is designed for transactional, analytical, and streaming workloads, delivering in-memory performance at scale. Spark is a streaming and compute engine that typically ingests data from HDFS or other storage.…
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In-memory computing is a journey that requires up-front planning and preparation to complete. Companies often start with caching to add speed and scale to existing applications. But before you know it, you're building new hybrid transactional/analytical processing (HTAP) applications, new streaming analytics applications, or even starting to implement machine and deep learning. If you don't…
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Greetings! August is upon us and we’re organizing insightful yet fun events for you. Our experts will once again be on the road – traveling to San Diego, Silicon Valley, Atlanta and New York City.   But first, I’d like to offer a limited number of half-priced tickets to the In-Memory Computing Summit North America 2018. The conference is happening Oct. 2-3 near the San Francisco…
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GridGain Cloud (beta) is the  only in-memory cache-as-a-service that allows users to rapidly deploy a distributed in-memory cache and access it using ANSI-99 SQL, key-value or REST APIs. It enables companies to create an in-memory SQL and key-value database in minutes. GridGain technical evangelist Akmal Chaudri and Rob Meyer, senior director of outbound product management, delivered a very…
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In the previous article in this Machine Learning series, we looked at k-NN Classification with Apache® Ignite™. We’ll now look at another Machine Learning algorithm and conclude our series. In this article, we’ll look at K-Means Clustering using the Titanic dataset. Very conveniently, Kaggle provides the dataset in a CSV form. For our analysis, we are interested in two clusters: whether…
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In the first six months of 2018, GridGain Systems has clinched more new customer wins than in all of 2017; has launched major new products (including GridGain Professional Edition 2.4 and GridGain Cloud); has won several top industry accolades -- and has continued to drive growth of the popular In-Memory Computing Summit® in Europe. “GridGain is rapidly emerging as a leading software platform…
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