The GridGain Systems In-Memory Computing Blog
I'm excited to announce a new GridGain Systems white paper, Choosing the Right In-Memory Computing Solution, that explains the reasons to use in-memory computing and then walks through how to choose the right architecture and feature set to meet your needs.
As in-memory computing (IMC) gains momentum across a wide range of applications, from fintech and e-commerce to…
GridGain Professional Edition 2.0 was released today. The new release, a fully supported version of Apache Ignite 2.0, includes new functionality that significantly improves performance and simplifies the integration requirements for use cases where distributed, in-memory computing can dramatically improve the speed and scalability of data-intensive applications.
You can download your 30-…
Gartner forecasts that there will be over 8 billion connected devices in use worldwide by the end of 2017. This figure is estimated to reach 20 billion by 2020 and continue to increase dramatically for the foreseeable future. According to the “Cisco Global Cloud Index: Forecast and Methodology, 2015–2020”, the total amount of data created by devices, driven by IoT, will reach 600…
This white paper discusses the transformation taking place in asset and wealth management and explains how in-memory computing options such as the GridGain in-memory computing platform can help asset and wealth management firms build the high-performance, scalable, and interoperable infrastructure that they need to successfully power their applications.
The asset and wealth management sector…
This white paper discusses the challenges faced by software and SaaS developers and examines how in-memory options such as the GridGain in-memory computing platform can help deliver a stellar user experience. All businesses want software and SaaS that delivers high-performance at scale. This is possible using in-memory computing.
Every business relies on software and the data it collects…
This is the last blog post in a series recommending how to design and implement microservices-based architecture with Apache Ignite Service APIs. The first two posts in the series can be found here:
Part I - Overview of the proposed solution.
Part II - Various coding templates needed to implement the solution in a live environment.
This final post describes how to…
With consumers willing to walk away within seconds, the technological underpinnings of any online store or other customer-facing product must be impeccably designed, built and maintained for peak performance.
Our latest free white paper explains how to ensure that your e-commerce infrastructure is as fast, available, and scalable as possible by moving to an in-memory computing platform designed…
Big Data and Fast Data are solving IT challenges long thought to be unreachable. Think of Big Data as an amount of data so large and complex that traditional database management tools are useless. Fast Data, on the other hand, is when that data is put into motion to quickly gather and mine structured and unstructured data so that action can be taken.
Together, Big Data and Fast Data are…
This white paper discusses bitcoin and blockchain technology, describes the innovative opportunities this technology offers for financial services firms, and examines how in-memory options such as the GridGain in-memory computing platform can address the challenges and boost the effectiveness of tomorrow’s blockchain applications.
Bitcoin and blockchain, the digital-ledger technology behind…
The recent Apache Ignite 1.9 release provided an integration with Kubernetes that automates deployment, scalability, and management of an Apache Ignite cluster running under its supervision. The whole idea of the integration is to enable Apache Ignite nodes auto-discovery in Kubernetes so that they can interconnect with each other to form a distributed cluster. This capability is supported…