As discussed in our previous post, healthcare companies face many integration challenges: complex data standards like HIPAA and HL7, differences in applications across the healthcare industry, and increasing regulations about meaningful use and value-based care.
These challenges are compounded by legacy technologies. Many healthcare companies’ internal enterprise applications were set up years ago using various data formats that cannot directly interoperate with one another. One way to solve this problem was to turn to enterprise service buses (ESBs) to transform and normalize data across different applications for cross-company communications, and a popular system was Java Composite Application Platform Suite (JCAPS). JCAPS was an effective way to integrate existing systems using ESBs to standardize data– and critical for healthcare providers, it offered support for HL7 data standards. JCAPS also introduced business services which allowed IT architects to design service-oriented architectures (SOA) to try to make those separate systems more responsive.
However, Oracle is quietly deprecating JCAPS — the end of extended support is next January — and customers are being advised to migrate to a different Oracle suite. With a deadline looming in less than a year, IT leaders in the healthcare industry have to start looking for a new integration solution. Now is the time to start defining the requirements for the next generation of healthcare data interoperability solution.
Continue reading “Healthcare Integration Solutions: Red Hat JBoss Fuse vs. JCAPS”
DevOps methodologies are core to a (modern) IT environment because they focus on strategic business demands: resilient design, rapid scale, and reliable service delivery. That last characteristic is the critical for effective DevOps environments.
The goal is for you to move through the total dev stack, as fast as your development team can code. Our new video shows how a Java app goes from being developed on an OpenShift container to launching on a production cloud instance in under five minutes.
Continue reading “Containers, cloud, and Java apps: A new video on development stacks”
The convergence of Mobile, Social, Big Data, and Cloud has placed increasing demands on today’s applications to react instantaneously to changes in data at a large scale. A delay of a few seconds can mean the difference between engaging or losing a customer for a retailer, increased liquidity or fraud risk for a financial institution, or escalation of an adverse occurrence in a manufacturing process or IoT network.
Continue reading “Event-driven computing with Red Hat JBoss Data Grid”
Many people take integration messaging for granted, and many organizations assume that any messaging platform is as fully featured as any other. But in today’s increasingly connected world, with the emergence of major trends in consumer and enterprise technology like mobile, cloud computing, big data, and the Internet of Things, your organization needs to carefully review its messaging platforms and capabilities if you hope to continue to reliably serve your customers and deliver and maintain critical advantages over your competition.
To illustrate how vital and varied messaging platforms can be, let’s explore what exactly messaging is and compare several different approaches to meeting your organization’s messaging needs.
Continue reading “Messaging: The Underappreciated Element of Integration”
There are a few Open Source technologies and products that have spearheaded the drive of Open Source into the enterprise and managed to overcome historical objections – Linux, Apache Web Server, MySQL, Postgres, WordPress, Hadoop, to name some of the better known technologies. Those technologies paved the way for the open source revolution of the last decade; every enterprise vendor and every organization has adopted open source to some degree. Open Source has won; get over it.
Continue reading “JBoss EAP – Spearheading OSS adoption”
Today, we officially announced the availability of Red Hat JBoss Enterprise Application Platform 7 beta. A huge thanks to all the engineers who worked so hard to make this beta release possible!
Continue reading “Journey to the future of enterprise Java with JBoss EAP 7”
I’ve been part of the Middleware (aka JBoss) team at Red Hat for almost 8 years now and I can say pretty unequivocally that 2015 was a huge year. Huge. Huge in terms of growth (the team, revenue, customers); huge in terms of the number of new initiatives and markets we’re taking on and huge in terms of product releases. I don’t plan to enumerate all the year’s achievements here – there are way too many, but I did want to cover a few of the more recent announcements.
Continue reading “Red Hat JBoss 2015 – What a Year!”
We’re pleased to announce the launch of Red Hat JBoss BPM Suite 6.2 and Red Hat JBoss BRMS 6.2, our business process management (BPM) and business rules management platforms. These updates introduce a number of feature enhancements and new capabilities designed to infuse greater speed, quality, and control into the day-to-day creation and management of business rules and processes.
Continue reading “Red Hat Updates JBoss BPM Suite and JBoss BRMS Products”
A little more than two years ago, we announced Red Hat’s “xPaaS” initiative to provide Red Hat JBoss Middleware on OpenShift and introduce a new way of building and deploying enterprise applications. Our efforts in executing against that vision and roadmap have entailed a lot of work and have been very exciting.
Continue reading “Red Hat announces availability of containerized middleware capabilities on OpenShift”
Today we announced three new Red Hat JBoss Middleware services on OpenShift based on JBoss Fuse, JBoss BRMS, and JBoss Data Grid.
Performance and Scalability for Cloud Applications
With cloud computing, businesses expect and demand that their applications deliver higher performance, availability, reliability, flexibility, and scalability than ever before. But the influx of data is creating new obstacles that make it difficult for applications to meet the demands and expectations.
Continue reading “In-Memory Performance and Elastic Scale Data Management as a Cloud Service”