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Hello JSON, Hello YAML and Goodbye XML!

Neil Stevenson

This is an example showing the use of YAML configuration, and populating a Hazelcast grid with data in JSON format that has been extracted from a traditional relational database. So the data goes from tables into “NoSQL” format. Hello YAML, Goodbye XML Hazelcast has many ways to be configured. Sensible defaults mean you don’t have […]

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Riding the CP Subsystem

Ensar Basri Kahveci

The CP Subsystem of Hazelcast IDMG 3.12 offers a new linearizable implementation of Hazelcast’s concurrency APIs on top of the Raft consensus algorithm. These implementations live alongside AP data structures in the same Hazelcast IMDG cluster (new BFFs, yay!). You can store large data sets on hundreds of Hazelcast members and coordinate your operations using […]

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In-Memory Data Grids Popularity Trend Continues Upward

David Brimley

The past year has seen in-memory data grids (IMDG) continue to gain traction with the development community and large organisations alike. As you’ll see in the 2019 IMDG LinkedIn Survey results below, adoption of IMDG as a skill in LinkedIn profiles has risen by 43% YoY. Companies are turning to IMDGs as replacements for RDBMS […]

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How Pairing In-Memory Streaming with IoT Will Fundamentally Change Your Business

Dan Ortega

Knock-knock Your business is already under assault, whether you know it or not. It doesn’t matter whether you’re B2B or B2C; the same technology variables are driving pressure on your IT infrastructure. The growth of the global technology ecosystem has always been organic. While new technologies often layer on top of previous enablers (e.g. mobility […]

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What CAP Theorem Means to a Business Leader

Dan Ortega

The data we continuously generate and use operates on an incredibly vast scale (think of Google, Amazon, Facebook, that level of data). Because of the breadth and depth of infrastructure required to stream incoming data and execute against it (and to avoid single points of failure), the ingestion and processing of data is distributed across […]

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Understanding the Business Case for In-Memory Technology

Dan Ortega
by Dan Ortega | January 03, 2019

Any business that is expanding and leveraging transformative technologies, such as IoT or in-memory computing, is already testing the limits of their ability to execute. For vendors who deliver enabling technologies, this is a great opportunity to help innovation leaders really move the needle. Sometimes the business leads will say “we need this in order […]

Digital Transformation Predictions for 2019

Kelly Herrell
by Kelly Herrell | December 27, 2018

There’s a popular saying in the post-digital world that “data is the new oil.” Digitization is creating a massive flow of of new “oil.” However, to extend the analogy, data – like oil – requires refinement in order for it to become consumable. It requires transformation and interpretation in order to become informative and actionable. […]

IMDG vs. IMDB – A Business-Level Perspective

Dan Ortega
by Dan Ortega | December 18, 2018

The technologies that are most present in our lives are often ones we don’t realize exist, (even within the IT domain), or are poorly understood. In this post I’d like to provide a business-level explanation of the difference between an in-memory data grid and an in-memory database in order to drive a better understanding of […]

Hazelcast on IBM Cloud Private

by Mesut Celik | December 17, 2018

Hazelcast and IBM partnered recently to better serve in-memory caching solutions to IBM Cloud users. Recent developments by the two companies have created several options for the users who decided to use distributed caching solutions and deploy their microservices to IBM Cloud Private (ICP) or IBM Kubernetes Service (IKS). Here are the 4 options IBM […]

5 Must-Read Articles on Kubernetes, Microservices and Stream Processing

Matt Wolpin
by Matt Wolpin | December 14, 2018

Each month the Hazelcast team writes and curates articles to help executives, architects and developers stay up-to-date on the latest news and information. With that in mind, here are five “must-reads” as determined by their popularity on social media.   The Human Side of Microservices Armağan Amcalar, head of software engineering at unu GmbH, spoke […]

How to Set Up Hazelcast IMDG on AWS ECS

Rafal Leszko
by Rafal Leszko | December 12, 2018

Hazelcast IMDG can be fairly simply configured to work on AWS ECS. This Blog Post presents this process step by step.

Hazelcast Accelerates IBM Cloud Private

Dan Ortega
by Dan Ortega | December 05, 2018

IBM Cloud Private is built on open-source frameworks Kubernetes and Cloud Foundry, with common services for self-service deployment, monitoring, logging and security, as well as a portfolio of middleware, data and analytics. With IBM Cloud Private, development and administrative teams share a flexible cloud environment behind their firewalls to create new microservices-based applications. Hazelcast has […]

How to Scale Hazelcast IMDG on Kubernetes

Rafal Leszko
by Rafal Leszko | November 30, 2018

Hazelcast is well integrated with the Kubernetes environment. Using Hazelcast Kubernetes Plugin, Hazelcast members discover themselves automatically. Using Hazelcast Helm Charts, you can deploy a fully functional Hazelcast cluster with a single command. Now, it's time to focus on the operational part and describe what to do if you want to scale up or down the number of Hazelcast members in a cluster.

What Is Stream Processing and Why Is It Important to Your Business?

Dan Ortega
by Dan Ortega | November 27, 2018

Stream processing is a term that is becoming increasingly relevant to the technical side of any company, but is still relatively unknown on the business side. The term “Stream” refers to data streams, that is, data that is continuously entering a business. Data has been entering computer systems for decades, the difference now is that […]

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