Continue reading “JDBC Master-Slave Persistence setup with Activemq using Postgresql database.”
I am pleased to announce the immediate availability of Red Hat Software Collections 3.0 Beta, Red Hat’s newest installment of open source development tools, dynamic languages, databases, and more. Delivered on a separate lifecycle from Red Hat Enterprise Linux with a more frequent release cadence, Red Hat Software Collections bridges development agility and production stability by helping you create modern applications that can be confidently deployed into production. Most of these components are also available in Linux container image format to streamline microservices development.
In addition to these new components having traditional support for x86_64, Red Hat Software Collection 3.0 Beta adds support for three new architectures: s390x, aarch64, and ppc64le.
NEW ADDITIONS to Red Hat Software Collections 3.0 Beta include:
Continue reading “Red Hat updates Python, PHP, Node.js, more; supports new arches”
And here we go for another episode of the series: “Unlock your [….] data with Red Hat JBoss Data Virtualization.” Through this blog series, we will look at how to connect Red Hat JBoss Data Virtualization (JDV) to different and heterogeneous data sources.
JDV is a lean, virtual data integration solution that unlocks trapped data and delivers it as easily consumable, unified, and actionable information. It makes data spread across physically diverse systems — such as multiple databases, XML files, and Hadoop systems — appear as a set of tables in a local database. By providing the following functionality, JDV enables agile data use:
- Connect: Access data from multiple, heterogeneous data sources.
- Compose: Easily combine and transform data into reusable, business-friendly virtual data models and views.
- Consume: Makes unified data easily consumable through open standards interfaces.
It hides complexities, like the true locations of data or the mechanisms required to access or merge it. Data becomes easier for developers and users to work with. This post will guide you step-by-step on how to connect JDV to a PostgreSQL database using Teiid Designer. We will connect to a PostgreSQL database using the PostgreSQL JDBC driver.
Continue reading “Unlock your PostgreSQL data with Red Hat JBoss Data Virtualization”
Welcome to part 3 of Red Hat JBoss Data Virtualization (JDV) running on OpenShift.
JDV is a lean, virtual data integration solution that unlocks trapped data and delivers it as easily consumable, unified, and actionable information. JDV makes data spread across physically diverse systems such as multiple databases, XML files, and Hadoop systems appear as a set of tables in a local database.
When deployed on OpenShift, JDV enables:
- Service enabling your data
- Bringing data from outside to inside the PaaS
- Breaking up monolithic data sources virtually for a microservices architecture
Continue reading “Red Hat JBoss Data Virtualization on OpenShift: Part 3 – Data federation”
One of the common requirements for Java based applications on OpenShift is to have these workloads connect back out to an enterprise database that resides outside of the OpenShift infrastructure. While OpenShift natively supports a variety of relational databases (including Postgres and MySQL) as Docker based deployments within the platform, connecting to an existing enterprise database infrastructure is preferred in many large organizations for a variety of reasons including:
- Inherent confidence in traditional databases due to in house experience around developing and managing these databases
- Ability to leverage existing backup/recovery procedures around these databases
- Technical limitations with these databases in being able to be deployed in a containerized model
One of the strengths of the OpenShift platform is its ability to accommodate these “traditional” workloads so that middleware operations can take advantage of the benefits/efficiencies gained from Dockeri’zed applications while giving development teams a platform to start designing/architecting applications that would fit into more of a Microservice based pattern that would leverage a datastore such as MongoDB or MySQL that OpenShift supports.
In addition to that, another common workflow in many organizations from a deployment point of view is to externalize the database connection information so that the application can be migrated from environment to environment (example Dev to QA to Prod) with the appropriate database connection information for the various environments. In addition, these teams typically work with the application binary (.war, .ear, .jar) deployment as the artifact thats promoted between environments as opposed to Docker based images.
In this article, I will walk through an example implementation for achieving this. A sensitive aspect of this migration process are the credentials to the database, where storing credentials in clear text is frowned upon. I will cover a variety of strategies in dealing with this in a follow on article. For this example, I will be using the following project which contains the source code that I will be covering in this article.
Lets get started!
Continue reading “Connecting to a Remote database from a JWS/Tomcat application on OpenShift”
New RHSCL-based Docker images that are now in beta let you easily build your own application containers even without writing any Dockerfiles. Here is an example of a Ruby on Rails application built with the Ruby 2.2 image using the PostgreSQL 9.4 image as a database backend.
Continue reading “Containerize your Ruby on Rails/PostgreSQL application with RHSCL Docker images”
“As a part of the Red Hat Software Collections offering, Red Hat provides a number of container images, which are based on the corresponding Software Collections. These include application, daemon, and database images. The provided images, currently available in the Beta version” (for more information see https://access.redhat.com/articles/1752723)
Red Hat Software Collections allows you to run newer versions of software on a stable Red Hat Enterprise Linux. These new images combine this feature with the benefits of containers.
Continue reading “Database Docker images – now beta via Software Collections”