Red Hat OpenShift Application Runtimes: Delivering new productivity, performance, and stronger standards support with its latest sprint release

Red Hat OpenShift Application Runtimes is a collection of cloud-native application runtimes that are optimized to run on OpenShift, including Eclipse Vert.x, Node.js, Spring Boot, and WildFly Swarm. In addition, OpenShift Application Runtimes includes the Launch Service, which helps developers get up and running quickly in the cloud through a number of ready-to-run examples — or missions — that streamline developer productivity.

New Cache Booster with JBoss Data Grid integration

In our latest continuous delivery release, we have added a new cache mission  that demonstrates how to use a cache to increase the response time of applications.  This mission shows you how to:

  1. Deploy a cache to OpenShift.
  2. Use a cache within an application.

The common use case for this booster is to cache service result sets to decrease latency associated with data access as well as reduce workload on backend service.  Another very common use case is to reduce the data volume of message send across in distributed system.

Continue reading “Red Hat OpenShift Application Runtimes: Delivering new productivity, performance, and stronger standards support with its latest sprint release”

Announcing Red Hat Fuse 7.0 Technical Preview 3

On November 2, 2017, we announced the technical preview of a new low-code integration platform called Red Hat Fuse Online. This technical preview provided a first chance for users to experience the new platform and provide feedback.

Building on the feedback we’ve received with the  Red Hat Fuse Online technical preview, we are happy to announce the Red Hat Fuse 7.0 technical preview 3 (TP3).

Continue reading “Announcing Red Hat Fuse 7.0 Technical Preview 3”

Announcing: Red Hat Decision Manager 7.0 Is Now Available

Red Hat has announced the release of Red Hat Decision Manager 7. Decision Manager is the evolution of Red Hat JBoss BRMS and provides a platform to develop rules-based applications and services.

As applications and services become more central to business strategies, business users will become increasingly involved in the development process. Software that aids in creating applications without directly writing code is known as low-code development. Decision Manager provides tools, including an updated UI and enhanced wizards, that help business users participate more actively in application development.

Major Use Cases

Decision service as a microservice

Decision Manager has a more modular architecture, such as a decision service, an execution server, and a management interface. Each component can be containerized and deployed as an image on Red Hat OpenShift Container Platform. Developers can create discrete services for specific needs and deploy those “micro-rules” in a microservices architecture. This approach is covered more in another blog post.

Continue reading “Announcing: Red Hat Decision Manager 7.0 Is Now Available”

Announcing Red Hat Fuse Online Technical Preview

On May 2, 2017, we announced a new open source project called Syndesis.io. Syndesis.io provides a low code environment for agile integration. We also demonstrated key capabilities at the Red Hat Summit 2017 keynote.

Building on our foundational work in Syndesis.io, we have expanded those capabilities into a new product and are happy to announce Red Hat Fuse Online as a technical preview.

Continue reading “Announcing Red Hat Fuse Online Technical Preview”

Performance, scale, and real-time analytics: Red Hat JBoss Data Grid 7.1

I am excited to announce the general availability of Red Hat JBoss Data Grid 7.1!  This is the only Red Hat software ranked highly in two separate Forrester waves categories: In-Memory Data Grid and In-Memory Database. On top of that, no other vendor offers any unified in-memory data management solution that is recognized in both waves — JBoss Data Grid is the one product with the versatility to span both categories.

In-memory computing is all about high performance and scale-out architecture. The primary focus of this release to enhance the performance of JBoss Data Grid as an in-memory data management platform for hybrid transactional and analytical (HTAP) workloads.

New Capabilities and Features

  • Performance improvements. JBoss Data Grid 7.1 features core performance improvements, especially in clustered write operations. Current tests have shown up to 60% increase in write throughput under load. (We have modified various default settings to improve JBoss Data Grid performance.)
  • Elastic scale external state management for JBoss Web Server (Tomcat) and Spring applications (on-premise or cloud/Openshift). JBoss Data Grid 7.1 features the ability to externalize HTTP sessions from a JBoss Web Server node to a remote JBoss Data Grid cluster. This helps make the JBoss Web layer stateless and enables a rolling update of the application layer, while retrieving the session data from the JBoss Data Grid layer. Additionally, JBoss Data Grid 7.1 features Spring session support, which enables you to externalize HTTP session from a Spring (or Spring Boot) deployment to a remote JBoss Data Grid cluster.
  • Real-time analytics, through Apache Spark 2.x integration supporting RDD and DStream interfaces.
  • New string-based querying with Ickle (tech preview). JBoss Data Grid 7.1 introduces a new string-based querying language, Ickle, as technology preview,  which enables you to specify combinations of relational and full-text predicates (based on Apache Lucene). This enhances the querying feature-set available in client-server mode by bringing several additional operations that were previously available only in library mode.
  • Ease of administration. Update and save node-level configurations are now available through the administration console.
  • Feature enhancements to Hot Rod clients, including streaming large-sized objects in chunks from the JBoss Data Grid server to a Java client and adding cross-site failover for C++, C# and Node.js clients.

More Resources

Reactive architecture for hybrid cloud environments: Red Hat JBoss AMQ 7 is now available

Red Hat JBoss AMQ 7, now available, introduces a new reactive architecture, with an enhanced broker, a new interconnect router, and expanded client support. This new architecture is more responsive and increases both throughput and performance for messaging services.

The JBoss AMQ broker, based on Apache ActiveMQ Artemis, manages connections, queues, topics, and subscriptions. Using innovations from Artemis, the broker has an asynchronous internal architecture, which can increase performance and scalability and enable it to handle more concurrent connections and achieve greater message throughput. Additionally, the high availability topology for AMQ has been redesigned for a “share nothing” architecture — this removes the need for a centralized database or storage location and uses a distributed, highly available topology instead.

The new interconnect router allows unrestricted redundancy. The router automatically reroutes messaging traffic between data centers, cloud services, and geographic locations. As with the broker’s distributed data topology, the interconnect router is the core for distributed messaging services, which allows operations to have redundant, secure, and reliable connectivity and to optimize messaging between services.

JBoss AMQ 7 expands its support of popular messaging APIs and protocols by adding new client libraries (on top of its existing MQTT and AMQP support):

  • Java Message Service (JMS) 2.0
  • JavaScript
  • C++
  • .NET
  • Python

By creating a more distributed topology and broad protocol and language support, JBoss AMQ is a more reactive messaging platform and can support dynamic microservices and other application architectures.

JBoss AMQ is a lightweight, standards-based open source messaging platform designed to enable real-time communication between different applications, services, devices, and the Internet of Things (IoT). It also serves as the messaging foundation for Red Hat Fuse, Red Hat’s lightweight, flexible integration platform, and is designed to provide the real-time, distributed messaging capabilities needed to support an agile integration approach for modern application development.

Additional resources

Go Anywhere API Management: 3scale API Management adds a Fully Containerized On-Premises Version

Today is a special day for the 3scale team at Red Hat. It’s been just 10 short months since the company joined Red Hat in the summer of last year and there has been a buzz of activity for the entire time.

One of the biggest new goals was to add a fully on premise version of the 3scale API Management product to the line up alongside the existing Software as a Service (SaaS) version. Hence the team is very happy to announce the availability of that new version which is now generally available. Get started looking at 3scale’s customer portal page.

Launching the on-premise version is special for two reasons. First, because increasing numbers of customers are now running large numbers of public and private APIs – often deep in their internal infrastructure. Deploying API Management in their own data center or in a cloud environment they own is often a key part of succeeding. Second, it is special because of the way on-premise is being delivered. Specifically the new product is shipping entirely on Red Hat’s powerful container management platform, OpenShift.

Continue reading “Go Anywhere API Management: 3scale API Management adds a Fully Containerized On-Premises Version”

Enhanced containerized integration services on OpenShift: Red Hat Fuse Integration Services

Updated and enhanced integration services are now available on Red Hat OpenShift. A containerized, formatted version of Red Hat Fuse 6.3 is now available for simplified deployments on OpenShift instances.

Technology is shifting so rapidly — from cloud-based architectures, Internet of Things and a variety of devices for interaction, new data streams, and mobile apps, to name a few — that organizations have to be able to create and deploy applications and process data quickly. Traditional, monolithic systems and top-heavy ESB-style integration approaches tend to be too slow and rigid to enable this level rapid innovation.

That is where an agile integration framework like Red Hat Fuse can be a foundational element in your IT and digital strategy. Agile integration has three core capabilities: distributed integration, containers, and an API-based architecture.

  1. Red Hat Fuse uses the lightweight distributed integration patterns of the underlying Apache Camel project.
  2. As part of the JBoss middleware services on OpenShift, Red Hat Fuse is available for rapid deployment within container and cloud environments. Red Hat OpenShift is based on Docker and Kubernetes. Container architectures allow developers to build and integrate traditional and microservices-based applications at scale quickly.
  3. Red Hat Fuse can be used together with Red Hat 3scale API Management Platform as an engine to develop and deploy APIs, both internally to development groups and externally for customer and partner ecosystems.

Integration technologies help organizations build on their existing infrastructures even as they pivot to new cloud-based and service-based architectures.

Features (and Benefits) at a Glance

  • Spring Boot support
  • Custom-developed, containerized applications based on Apache Camel 2.18
  • Integration with Hystrix and Zipkin microservices frameworks
  • An optimized integration environment for microservices applications on Red Hat OpenShift
  • Path to transition off existing Apache Karaf-based applications to cloud architectures
  • Consistent hybrid integration platform across their enterprise

More Information

Red Hat launches 3scale APIcast – faster, flexible, open source API gateway

Dockerized version of APIcast 2.0 deploys on OpenShift for easier installation and operation in microservice environments

Today we’re happy to announce the general availability of Red Hat 3scale APIcast gateway 2.0. The APIcast gateway (NGINX-based) is open source and has served hundreds of happy customers over the last four years. Now we’ve taken it to the next level, supporting both a cloud gateway or hybrid model with an on-prem gateway. In fact, the new on-premise version introduces significant upgrades in terms of performance and flexibility. 3scale was the first in market with on-prem and now we are pleased to offer the second generation.

The API gateway, which is configured within 3scale’s Admin Portal, is part of the 3scale API Management SaaS offering. The Admin Portal allows customers to define desired authentication methods, set rate limits, get analytics on the usage of their APIs, and create a developer portal for their API consumers. APIcast 2.0  is the first of two on-prem releases. With the upcoming 3scale on-premise release, customers will be able to deploy the entire 3scale API Management Platform on-premises. Stay tuned!

Companies are increasingly migrating to microservices architecture, so the average number of API services managed with 3scale have significantly increased, and continue to do so. To accommodate to these requirements, APIcast changes the way it pulls the configuration from the Admin Portal. For starters, now it’s now possible to pull the configuration for just a subset of services. In addition, it makes it easier to automate the deployment of multiple gateways by providing the gateway configuration via a JSON file which can be fetched by an API. It also supports two environments out-of-the-box (staging and production) with options to enable always-up-to-date configs in staging, and control of updates in production. For example, you can set the reload config variable to true so it reloads the API gateway configuration with each request, which comes in handy during development phases.

Another big change introduced with APIcast 2.0 is the enhanced integration with Red Hat’s OpenShift Container Platform, which leverages Docker and Kubernetes for an easier deployment and DevOps experience. The new OpenShift template pulls the dockerized image of APIcast from the Red Hat container registry and lets you enable/disable key features of the API gateway by just changing the value of the corresponding template parameter.

Get started with APIcast 2.0:

How to integrate business logic in processes with JBoss BPM

In June 2016 the Early Access Program (MEAP) started for the book Effective Business Process Management with JBoss BPM.

What is a MEAP?

The Effective Business Process Management with JBoss BPM MEAP gives you full access to read chapters as they are written, get the finished eBook as soon as it’s ready, and receive the paper book long before it’s in bookstores.

You can also interact with the author, that’s me, on the forums to provided feedback as the book is being written. So come on over and get started today with Effective Business Process Management with JBoss BPM.

The way the MEAP works is that every month or so Manning puts a new chapter online. As of this week chapter 5 is available and those already in the MEAP will have access to start reading the chapter.

This is a large chapter and it is one of the harder topics to confine to a single chapter. I do expect to split this chapter up in the future so that you have the basics and then more advanced topics regarding learning to effectively implement your business logic with JBoss BPM.

To give you an idea of what’s available so far:

You can read this excerpt online before you decide, but I look forward to hearing from you on the content and stay tuned for more.

 

See more by Eric D. Schabell, contact him on Twitter for comments or visit his home site.

  • Page 1 of 2
  • 1
  • 2
  • >