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Why my in-memory cluster underperforms? Negating network impact.

Memory access is so much faster than disk I/O that many of us expect to gain striking performance advantages by merely deploying a distributed in-memory cluster and start reading data from it. However, sometimes we overlook the fact that a network interconnects cluster nodes with our applications, and it can quickly diminish the positive effects of having an in-memory cluster if a lot of data gets transferred continuously over the wire.
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Previous Entries

GridGain Systems today announced that the GridGain In-Memory Computing Platform is now available in the Oracle Cloud Marketplace, offering added value to Oracle Cloud customers.  A Silver-level member of Oracle PartnerNetwork (OPN), GridGain also certified that the GridGain In-Memory Computing Platform is now fully compatible with Oracle Cloud Infrastructure. The GridGain In-Memory Computing…
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This post takes a closer look at Apache Ignite’s C++ API (called Ignite C++). It's intended primarily for C/C++ programmers. Ignite and Ignite С++ Ignite C++ is built on top of Ignite Ignite С++ starts the JVM in the same process and communicates with it via JNI .NET, C++ and Java nodes can join the same cluster, use the same caches, and interoperate using common binary protocol Java…
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GridGain technology evangelist Akmal Chaudhri is in New York City preparing for his third meetup in a row. Tonight, he'll be speaking at the NYC In-Memory Computing Meetup. The event will take place at “Spaces,” 1740 Broadway, New York on the 15th floor. In this presentation, attendees will learn how to achieve the best performance and scale with the new memory-centric approach to distributed…
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Last week my colleague Valentin Kulichenko, lead architect at GridGain Systems recorded a webinar explaining how companies have been using Apache® Ignite™ to overcome today’s data challenges.  He demonstrated how companies have been using Ignite to add in-memory speed and unlimited horizontal scale to SQL with no rip-and-replace of the underlying database. The webinar, recorded Nov. 28, was…
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Two Apache® Ignite™ experts will be delivering a couple of webinars tomorrow (Nov. 28)  – one explaining the nuances of Machine Learning with Ignite ML, and another documenting how to add speed and scale to SQL.   The great thing about GridGain webinars is that although they are live, interactive events, they are also recorded. So if you miss either of these, just register as normal even after…
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One of the features of Apache® Ignite™ is its ability to integrate with streaming technologies, such as Spark Streaming, Flink, Kafka, and so on. These streaming capabilities can be used to ingest finite quantities of data or continuous streams of data, with the added bonus of fault tolerance and scale that Ignite provides. Data can be streamed into Ignite at very high rates that may reach many…
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3 days. 3 cities. 3 meetups!

GridGain technology evangelist Akmal Chaudhri is on his way from London to the East Coast for a busy week of meetups to talk about Apache® Ignite™.   Tomorrow he’ll speak at the Apache Kafka DC meetup; on Wednesday he'll be speaking at the Apache Kafka ATL Meetup; and then on Thursday he’ll be delivering a talk at the NYC In-Memory Computing Meetup. All three meetups are free but please be…
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Regardless of how mature a data storage technology is, backing-up data is a laborious and difficult task that can cost time, increase stress levels -- and even hit your bottom line. If this sounds familiar, my colleague --  GridGain senior software engineer Ivan Rakov -- hosted a webinar recently that details how to make discreet backups in a distributed environment.  His Nov. 21 webinar was…
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GridGain experts are not slowing down this holiday season: They are organizing and taking part in multiple webinars, conferences and meetups during November and December to share the latest information and developments related to in-memory computing technology and business trends. Here's a look at just some of the events (more meetups, for example, are still being scheduled). Conferences AWS…
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GridGain® Systems is ranked No. 77 on the Deloitte 2018 Technology Fast 500™, a ranking of the 500 fastest growing technology, media, telecommunications, life sciences and energy tech companies in North America. GridGain, which grew 1,724 percent over the past four years, was the 19th fastest growing company in the San Francisco Bay Area. “Congratulations to the Deloitte 2018 Technology Fast 500…
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