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Thomas Krafft

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Top Stories by Thomas Krafft

As increasing numbers of industry leading companies look to new technologies to speed their real-time services and Big Data applications, GridGain Systems, leading developer of scalable, distributed in-memory compute and data grid technologies for real-time data processing, is strongly positioned to serve the demand. This week, GridGain announced the release of an entirely new suite of solution-focused products built around the company’s leading in-memory and world’s fastest MapReduce technologies, expanded enterprise consulting and other professional services, advanced DevOps management and monitoring capabilities now available with all products, and out-of-box integration with virtually any existing data source, Hadoop-based systems, and Java, C++, .NET, Android and iOS applications. Specifically related to GridGain’s new products, the company now offers three w... (more)

GridGain 4.2 Released!

We are happy to announce that GridGain 4.2 is released! This release includes several new exciting feature as well as the host of performance optimizations that we’ve included. This release is 100% backward compatible with 4.x product line and we recommend anyone on 4.x version to update as soon as possible. Now – let’s talk about new features… Delayed Preloading In GridGain 4.2 we’ve introduced support for delayed preloading. Dmitriy Setrakyan wrote an excellent blog detailing this new functionality. Essentially, whenever a new node joins the grid or an existing node leaves th... (more)

Micro Cloud in Your JVM with GridGain

One of the features in GridGain’s In-Memory Data Platform that often goes unspoken for is ability to launch multiple GridGain nodes in the single JVM. Now, as trivial as it sounds… can you start multiple JBoss or WebLogic or Infinisnap or Gigaspaces or Coherence or (gulp) Hadoop 100% independent runtimes in the single JVM? The answer is no. Even for a simple test run you’ll have to start multiple instances on your computer (or on multiple computers), and debug this via remotely connected debugger, different log windows, different configurations, etc. In one word – awkward… Not so... (more)

In-Memory Processing as a Business Use Case

In-memory processing is becoming a business necessity in a similar way as collecting and processing ever increasing data sets (a.k.a Big Data) has become a business “must have” rather than just a simple technology in the last five years. Both of these trends are intervened in an interesting ways. Let me explain… 1. Storing Necessitates Processing The initial foray into BigData for many companies was all about storing the data and then some rudimentary processing that most of the time resulted in some trivialized analytics run on log files, purchase history, and similar type of d... (more)

Insert Coins and Press Start

I’m at that critical point in the lifecycle of my consumer mobile and web software projects and ideas: I need to build something in order to get funding, but I need funding in order to build something. Ugh. I’ve gotten as far as I can in my own projects without developers or investors. This is a common problem, particularly for founders who aren’t able to write their own code, so I don’t feel too depressed right now. My ideas are solid. And I have 15+ years of experience in and around this space – enough to know the pitfalls and issues to avoid, and which questions to ask myself... (more)