The GridGain Systems In-Memory Computing Blog

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…
We recently wrote a real treat of a white paper, Accelerate MySQL for Demanding OLAP and OLTP Use Cases with Apache® Ignite™. I say treat because this is a great mix of technology and business stories. The white paper is based on the webinar given by Nikita Ivanov of GridGain and Peter Zaitsev of Percona.  MySQL® is a widely used, open source relational database management…
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…
On February 22, I hosted a webinar "Boost Software and Software-as-a-Service with In-Memory Computing" where I offered insight into the advantages that in-memory computing offers to software and SaaS projects.  Software and Software-as-a-Service (SaaS) developers face a rapidly escalating set of challenges as they strive to make applications faster and more scalable. Software developers…
On Wednesday, February 8, 2017 I hosted a webinar "Learn How Retail Banking Goes Digital with In-Memory Computing". The main premise was that technology is changing traditional retail banking business models. Online banking and mobile banking are generating significantly more transactions than live teller-based banking.  This increase in automation is challenging banks to redesign their…
On Tuesday, January 31, 2017 I delivered a webinar about the use of in-memory computing for eCommerce.  If your eCommerce initiatives are struggling to keep up with customer demand, then in-memory computing may be the solution you need to take performance and scale to the next level. Yesterday’s application and data architectures cannot achieve the speed and scale offered by in-memory…
During the past decade, financial spread betting has become a major growth market globally.  Spread betting offers some compelling advantages, including low entry and transaction costs, preferential tax treatment, and a diverse array of products and options. Traders can bet on any type of event for which there is a measurable outcome that might go in either of two directions – for example,…