Hazelcast IMDG is a clustered, in-memory data-grid that manages application data and distributes processing using in-memory storage and parallel execution for breakthrough application speed and scale. In this Quick Start Guide, learn what an in-memory data grid can be used for, how to do simple query operations with Hazelcast IMDG, what sharing means with Hazelcast, and more. This guide is intended for software architects and developers who are planning or building systems requiring distribute infrastructure for application scalability and performance.
This white paper, written by Java Champion Ben Evans, provides an introduction for architects and developers to Hazelcast®’s distributed computing technology.
Hazelcast Cloud is an enterprise-grade in-memory computing platform deployed and managed by the Hazelcast CloudOps team. The service
is powered by Hazelcast IMDG Enterprise HD and leverages widely adopted technologies, such as Docker and Kubernetes, to provide dynamic orchestration and containerization. Hazelcast Cloud supports applications developed in some of the most common languages, including Java, Node.js, Python. Go, and .NET.
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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 […]
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 […]
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 […]
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 […]
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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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 […]
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. […]
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 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 […]
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 […]
Hazelcast IMDG can be fairly simply configured to work on AWS ECS. This Blog Post presents this process step by step.
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 […]
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.
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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