Containers

Get started building Python 3.5 applications in docker containers on Red Hat Enterprise Linux in under 15 minutes. Introduction and Prerequisites In this tutorial, you will learn how to start building Python 3.5 applications in docker containers on Red Hat Enterprise Linux. In order to build and run containers you will first install docker on your Red Hat Enterprise Linux 7 system. You will use the Python 3.5 container image from Red Hat Software Collections (RHSCL) as the basis for...

Get started building Ruby 2.3 applications in docker containers on Red Hat Enterprise Linux in under 15 minutes. Introduction and Prerequisites In this tutorial, you will learn how to start building Ruby 2.3 applications in docker containers on Red Hat Enterprise Linux. In order to build and run containers, you will first install docker on your Red Hat Enterprise Linux 7 system. You will use the Ruby 2.3 container image from Red Hat Software Collections (RHSCL) 2.2 as the basis...

Get started building Node.js v4 applications in docker containers on Red Hat Enterprise Linux in under 15 minutes. Introduction and Prerequisites In this tutorial, you will learn how to start building Node.js v4 applications in docker containers on Red Hat Enterprise Linux. In order to build and run containers you will first install docker on your Red Hat Enterprise Linux 7 system. You will use the Node.js v4 container image from Red Hat Software Collections (RHSCL) 2.2 as the basis...

The CDK 2.3 version has added the newest OpenShift Container Platform 3.3, allowing us to make use of the Jenkins Pipeline builds as well a special route configuration, which enables A/B deployments. In this post, I will show you how to achieve that configuration using a microservice application. Preparation steps Once CDK 2.3 is up and running in our environment, we need to make an additional configuration to enable the Jenkins pipeline builds. Since it is an experimental feature, it...

It's been a while since Red Hat released version 3.3 of OpenShift Container Platform, this version is full of features. One of my favorites is the support for Pipelines (Tech Preview for now) that lets you easily integrate Jenkins builds on your OpenShift (Origin) Platform. OpenShift Pipelines OpenShift Pipelines are based on the Jenkins Pipeline plugin. ( https://jenkins.io/solutions/pipeline/) Integrating Jenkins Pipelines into OpenShift unlocks all the features for the CI/CD world enabling its users to easily manage repeatable tasks in...

Several organizations are wondering (and sometimes struggling on) how to port their current workloads to cloud environments. One of the main characteristics of a cloud environment is that the infrastructure is provisioned dynamically. This implies, for example, that we don’t know a priori where our resources are being allocated (we can find that out, though). VMs or containers will receive a dynamic IP. Storage will be allocated somewhere and attached to our VMs or containers and so on. So, how...

The Red Hat JBoss Fuse solution offers a new approach of ESB, both lightweight and modular. It is perfectly suited to allow you to implement light integrations. JBoss Fuse is fully supported, based on the power of Apache Karaf --- Karaf allows for the easy deployment of your ActiveMQ Broker, your CXF web services, or your own Apache Camel routes. Most of us are more familiar with the OSGI Environment, and what it offers: things like control of classloader behavior...

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...

Spring Cloud and Kubernetes both claim to be the best environment for developing and running Microservices, but they are both very different in nature and address different concerns. In this article we will look at how each platform is helping in delivering Microservice based architectures (MSA), in which areas they are good at, and how to take best of both worlds in order to succeed in the Microservices journey. Background Story Recently I read a great article about building Microservice...

Welcome to the part 2 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...

Introduction Kompose is a tool to convert from higher level abstractions of application definitions into more detailed Kubernetes artifacts. These artifacts can then be used to bring up the application in a Kubernetes cluster. What higher level application abstraction should kompose use? One of the most popular application definition formats for developers is the docker-compose.yml format for use with docker-compose that communicates with the docker daemon to bring up the application. Since this format has gained some traction we decided...

Fedora users seeking help on installing Container Development Kit (CDK), here is how you can install CDK 2.2 on your Fedora 24. These same steps can be used for CDK 2.3 too. CDK provides a container development environment, to build production-grade applications, for use on OpenShift. The installation of CDK 2.2 on Fedora essentially involves the following stages: Setting up your virtualization environment You need to first install the virtualization software, in this case, KVM/libvirt, and then proceed to install...

We are happy to announce the availability of Red Hat JBoss Data Virtualization (JDV) 6.3 image 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...

The Kubernetes client package for Go provides developers with a vast range of functions to access data and resources in a cluster. Taking advantage of its capabilities can allow the opportunity to build powerful controllers, monitoring and managing your cluster, beyond the scope of what is offered by stock OpenShift or Kubernetes setups. For example, the PodInterface allows you to list, update, delete, or get specific pods either by namespace or across all namespaces. This interface is complemented by similar...

Red Hat Summit has always catered to multiple user roles and this year will be no different. What will be different in 2017 is an expanded focus on professional application developers much like DevNation has done in recent years. As such, we will not be hosting a separate DevNation event alongside Summit 2017. Instead, Summit will include more advanced Application Development sessions, CodeStarters, labs, birds of a feathers, a new "Developer Zone" in the expo area, and much more. What...

One of the main principles of microservices is to be independently deployable. As a consequence, Microservices development and operation tend to be much more complex than a Monolith because of their distributed nature --- if your IT team has not moved out yet from its silos and has adopted DevOps practices, the operations team will not really understand why they have to deploy hundreds of independent software pieces in opposite to the "good old monolith". "You need a mature operations...

Containers are one of the top trend today. Starting working or playing with them could be really hard also if you've well understood the theory at their base. With this article I'll try to show you some useful tips and tricks to start into containers world, thanks also to the great web interface provided by the Cockpit project. Cockpit overview Cockpit is an interactive server admin interface. You'll find below some a of its great features: Cockpit comes “out of...

In part one of this series of blog posts, we discussed the importance of user experience within the mobile industry, and how your API has a significant effect on this. In the this article, we’ll outline a number of techniques that you can leverage on an MBaaS solution such as Red Hat Mobile Application Platform to reduce the data downloaded by mobile devices when they make requests to your RESTful API. Reducing the size of a response is conceptually simple...

The world is moving to microservices, where applications are composed of a complex topology of components, orchestrated into a coordinated topology. Microservices have become increasingly popular as they increase business agility and reduce the time for changes to be made. On top of this, containers make it easier for organizations to adopt microservices. Increasingly, containers are the runtimes used for composition, and many excellent solutions have been developed to handle container orchestration such as: Kubernetes/OpenShift; Mesos and its many frameworks...

Why? Recently, I have been following the Hyperledger project, and Fabric in particular, with fair bit of interest. The current deployment process 1 for Fabric Starter Kit uses Docker Swarm. Kubernetes is a leading platform for automating deployment, scaling, and operations of containerised applications. Using Kubernetes instead of Docker Swarm would allow Hyperledger Fabric to leverage features like: Automatic binpacking Horizontal scaling Automated rollouts and rollbacks Storage orchestration Self-healing Service discovery and load balancing Secret and configuration management Batch execution...

Welcome to the tenth and final installment of That App You Love, a blog series in which I show you how to you can make almost any app into a first-class cloud citizen. If you want to start from the beginning, jump back and check out Part 1: Making a Connection. You’ll need the docker service and the oc utility to follow along in this post; for instructions check out Part 5: Upping Our (Cloud) Game. Wow, we’ve come a...

Editor's note: Raffaele Spazzoli is an Architect with Red Hat Consulting's PaaS and DevOps Practice. This blog post reflects his experience working for Key Bank prior to joining Red Hat. A recount of the journey from three-months, to one-week release cycle-time. This is the journey of KeyBank, a super-regional bank, from quarterly deployments to production to weekly deployments to production. In the process we adopted all open source software migrating from WebSphere to Tomcat and adopting OpenShift as our private...

Welcome to the ninth installment of That App You Love, a blog series in which I show you how to you can make almost any app into a first-class cloud citizen. If you want to start from the beginning, jump back and check out Part 1: Making a Connection. You’ll need the docker service and the oc utility to follow along in this post; for instructions check out Part 5: Upping Our (Cloud) Game. In Part 8 we learned how...

It's been a while since our last deep-dive into the Docker project graph driver performance. Over two years, in fact! In that time, Red Hat engineers have made major strides in improving container storage: Introduced the docker-storage-setup package to help make configuring devicemapper-based storage a snap. Introduced full support for overlay FS in RHEL7.2+ when used with containers Introduced overlay2 as Tech Preview mode Gotten SELinux support to both overlay and overlay2 merged into upstream kernel 4.9 Added a warning...

OpenShift gives its administrators the ability to manage a set of security context constraints (SCCs) for limiting and securing their cluster. Security context constraints allow administrators to control permissions for pods using the CLI. SCCs allow an administrator to control the following: Running of privileged containers. Capabilities a container can request to be added. Use of host directories as volumes. The SELinux context of the container. The user ID. The use of host namespaces and networking. Allocating an 'FSGroup' that...