The scavenger hunt game developed for the audience to play during the Red Hat Summit 2018 demo used Red Hat Data Grid as storage for everything except the pictures taken by the participants. Data was stored across three different cloud environments using cross-site replication. In this blog post, we will look at how data was flowing through Data Grid and explain the Data Grid features powering different aspects of the game’s functionality.
Continue reading Using Red Hat Data Grid to power a multi-cloud real-time game
If you saw or heard about the multi-cloud demo at Red Hat Summit 2018, this article details how we ran Red Hat Data Grid in active-active-active mode across three cloud providers. This set up enabled us to show a fail over between cloud providers in real time with no loss of data. In addition to Red Hat Data Grid, we used Vert.x (reactive programming), OpenWhisk (serverless), and Red Hat Gluster Storage (software-defined storage.)
This year’s Red Hat Summit was quite an adventure for all of us. A trip to San Francisco is probably on the bucket list of IT geeks from all over the world. Also, we were able to meet many other Red Hatters, who work remotely for Red Hat as we do. However, the best part was that we had something important to say: “we believe in the hybrid/multi cloud” and we got to prove that live on stage.
Photo credit: Bolesław Dawidowicz
Continue reading “Red Hat Data Grid on Three Clouds (the details behind the demo)”
In this article, I will show how you can implement a common use case that often happens when you migrate a classic Java EE application into a Red Hat OpenShift environment.
Usually a classic Java EE application stores a user’s information, such the profile’s configuration, in the HTTP session. In a typical production scenario, there are several application server instances that build a cluster and are used to implement high availability, failover, and load balancing. To make sure that stateful information is preserved across the application server instances, you must distribute your session as described in the Java EE 7 specification section EE.6.4, “Servlet 3.1 Requirements.”
Continue reading “Externalized HTTP Session in an OpenShift 3.9 Environment”
Want insights into how other organizations are building cloud-native applications and microservices? At Red Hat Summit 2018, developers from a number of different companies will be sharing their stories in break-out sessions, lightning talks, and birds-of-a-feather discussions. Learn how they solved real business problems using containers, microservices, API management, integration services, and other middleware.
Join us at Red Hat Summit 2018, to hear speakers from Bell Canada, BMW, BP, Deutsche Bank, InComm, Sabre, SIA, Swiss Railways, USAA, and many more.
Continue reading “Red Hat Summit 2018: Learn how other developers are producing cloud-native applications”
In this blog post, I will cover how to create, populate, and associate a JBoss Data Grid (with persistence using a Postgresql database) to your MicroProfile-based microservice. I will also cover how to modify the microservice so that it makes use of JBoss Data Grid (JDG).
Continue reading A MicroProfile-based microservice on OpenShift Container Platform – Part 3
Most of the time, when we think about collecting, parsing and storing Logs, the first thing that pops in our mind is the ElasticStack or ELK. It is well positioned in developer and sysadmin’s minds. The stack combines the popular Elasticsearch, Logstash and Kibana projects together to easy the collection/aggregation, store, and visualization of application logs. As an Apache Camel rider and Infinispan enthusiast, I prepared this exercise to produce my own log collector and store stack using Red Hat’s products, JBoss Fuse and JBoss Data Grid, instead.
Continue reading “Implementing a Log Collector using Red Hat JBoss Fuse and Red Hat JBoss Data Grid”
This article describes how to run a client-server application for JBoss Data Grid on Openshift using Red Hat Container Development Kit 3.0 Beta and Minishift. This environment for this tutorial can be set up quickly following up this previous post on the Developer Blog.
Continue reading “Using JBoss DataGrid in Openshift PaaS”
We’re excited to announce the availability of Red Hat JBoss Data Grid (JDG) Version 7.1.
Thanks and congratulations to the JDG engineering and product management team for this release.
JDG 7.1 release focuses on the following areas:
- Performance enhancements
- Apache Spark 2.x integration
- Several other enhancements
Continue reading “What’s new in Red Hat JBoss Data Grid 7.1”
Expanding on Tristan’s blog, where he spoke of enabling security for JBoss Data Grid caches, in this post we will cover how to add LDAP based security to the JDG caches. The principles and techniques remain defined by Tristan, but there are some minor changes that I will be highlighting in this blog for a successful working configuration of JDG enabled with LDAP security.
Continue reading “Enabling LDAP Security for DataGrid Cache”