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Apache Ignite Deployment Patterns The Apache Ignite® in-memory computing platform comprises high-performance distributed, multi-tiered storage and computing facilities, plus a comprehensive set of APIs, libraries, and frameworks for consumption and solution delivery (all with a “memory first” paradigm). This rich set of capabilities enables one to configure and deploy Ignite in many diverse…
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Note: This is the third and final post in the blog series: Continuous Machine Learning at Scale With Apache Ignite. For post 1 click here and for post 2 click here. In my first post, I introduced Apache® Ignite™ machine learning and explained how it delivers large-scale, distributed, machine-learning (ML) workloads. In my second post, I discussed the Apache Ignite model-building stages. The…
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Note: This is post 2 in the blog series: Continuous Machine Learning at Scale with Apache Ignite. For post 1 click here and for post 3 click here. In my first post, I introduced the topic “continuous machine learning at scale with Apache Ignite,” which is how we members of the Apache® Ignite™ community describe machine learning (ML) architectures that offer the following advantages: Support…
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Note: This is post 1 in the blog series: Continuous Machine Learning at Scale with Apache Ignite. For post 2 click here and for post 3 click here. This is my first blog post in a series that discusses continuous machine learning at scale with the Apache® Ignite™ machine learning (ML) library. In this article, I’ll introduce the notion of continuous machine learning at scale. Then, I’ll discuss…
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Apache Ignite AWS basics

Introduction Cloud computing is on the rise for a couple of reasons: it is flexible, relatively cheap compared to supporting in-house infrastructure, and it allows excellent automation of resource allocation, thus cutting costs even more. Cloud computing also allows horizontal scalability, which is crucial for many businesses in today’s digital age. When the amount of data to be processed grows…
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GridGain has once again been named to the Inc. 5000 – the highly regarded ranking of the nation’s fastest-growing private companies. This is the third year in a row GridGain has been named to the list. GridGain, which experienced 797 percent growth over the last three years and doubled sales during the first half of 2019 compared to the same period in 2018, is ranked 558 on the 2019 Inc. 5000 …
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Join my colleague Rob Meyer, VP of outbound product management, for an hourlong webinar August 21 that will explain how companies add in-process Hybrid Transactional/Analytical Processing (HTAP) architectures for real-time data access, analytics, and decision automation to their existing applications and analytics systems. It begins at 10 a.m. Pacific time (register here to reserve your spot).…
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GridGain recently started publishing the Best Practices for Digital Transformation with In-Memory Computing (IMC) eBook series. The series captures some of the best practices for putting the right people, processes, and technology in place that helped early adopters succeed with their digital transformations. This blog post summarizes the first eBook in the series and outlines the best…
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After a long holiday weekend, our GridGain experts are gearing up for more events next week. We’re scheduling the next Bay Area In-Memory Computing Meetup for July 17 and the NYC In-Memory Computing Meetup for July 25. I'll share details on those later this week. In the meantime, here's a recap of a very busy last week of June.  Monday, June 24: Bay Area In-Memory Computing Meetup. GridGain’s…
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Join us in Copenhagen on June 20 for a gathering of the Data Natives Big Data Copenhagen Meetup. GridGain's Yuriy Babak will deliver a talk titled, "Distributed Machine and Deep Learning at Scale with Apache Ignite." "With most machine learning and deep learning frameworks, it can take hours to move data for ETL, and hours to train models, Yuriy explained. "It's also hard to scale with data sets…
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The GridGain Data Lake Accelerator, released today, is an in-memory solution for digital businesses that need to enrich operational data with historical data stored in data lakes to improve real-time analytics and decision automation. A data lake is a system or repository of data stored in its natural format, usually object blobs or files. A data lake is usually a single store of all enterprise…
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The Call for Papers is now open for the fifth-annual In-Memory Computing Summit North America. The conference, organized by GridGain Systems, is taking place November 13-14, 2019 at the Hyatt Regency San Francisco Airport. Prospective presenters have until July 28 to submit their talks, The In-Memory Computing Summit (IMCS) is held annually in both Europe and North America. The conferences are…
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It’s not officially summer yet and GridGain experts are not slowing down. Several are participating in multiple industry events during late May and June, where our company experts and other industry thought leaders are sharing their insights on the latest in-memory computing technology developments and trends. “In-memory computing can make new or existing applications 1,000x faster and scalable…
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The third-annual In-Memory Computing Summit Europe conference is happening June 3-4 in London. This year GridGain is sending several experts to lead sessions and connect with in-memory computing experts from across Europe and around the world. Let’s take a look at the conference schedule. (If you see a topic of interest, but can’t make it to London, stay tuned. I’ll be sharing all of the videos…
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Next week will be a busy one for GridGain and Apache® Ignite™ experts, who will preside over four meetups and one webinar in events that span the globe. On May 21 we have two talks: one in Moscow and the other in New York. Then on May 23 we'll be speaking in Tokyo and Silicon Valley. The webinar is scheduled for May 22. The Moscow Apache Ignite Meetup will be led by GridGain’s Dmitry Pavlov…
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