OpenShift Enterprise 3.4: all-in-one Lab Environment

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Overview

In this article we will setup a OpenShift Enterprise 3.4 all-in-one configuration.

OpenShift has several different roles: masters, nodes, etcd and load balancers. An all-in-one setup means running all service on a single system. Since we are only using a single system a load balancer or ha-proxy won’t be configured. If you would like to read more about OpenShift I can recommend the following:

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OpenShift Enterprise 3.3: all-in-one Lab Environment with Jenkins Build Pipeline

Screenshot from 2016-08-04 14:40:07

Overview

In this article we will setup a OpenShift Enterprise 3.3 all-in-one configuration. We will also configure OpenShift router, registry, aggregate logging, metrics, CloudForms integration and finally an integrated jenkins build pipeline.

OpenShift has several different roles: masters, nodes, etcd and load balancers. An all-in-one setup means running all service on a single system. Since we are only using a single system, a load balancer or ha-proxy won’t be configured. If you would like to read more about OpenShift I can recommend the following:

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Enterprise Container Platform in the Cloud: OpenShift on Azure secured by Azure AD

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Overview

This article is a collaboration from Rolf Masuch (Microsoft) and Keith Tenzer (Red Hat). It is based on our work together in the field with enterprise customers.

In this article we will explore how to deploy a production ready OpenShift enterprise container platform on the Microsoft Azure Cloud. The entire deployment is completely automated using Ansible and ARM (Azure Resource Manager). Everything is template driven using APIs. The bennefit of this approach is the ability to build-up and tear-down a complete OpenShift environment in the Azure cloud before your coffee gets cold.

Since OpenShift already uses Ansible as its installation and configuration management tool, it made sense to stick with Ansible as opposed to using other tools such as Power Shell. A Red Hat colleague, Ivan McKinley created an Ansible playbook that builds out all the required Azure infrastructure components and integrates the existing OpenShift installation playbook. The result is an optimally configure OpenShift environment on the Azure Cloud. We have used this recipe to deploy real production Environments for customers and it leverages both Microsoft as well as Red Hat best practices.

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OpenShift Enterprise 3.2: all-in-one Lab Environment

Screenshot from 2016-08-04 14:40:07

Overview

In this article we will setup a OpenShift Enterprise 3.2 all-in-one configuration. We will also setup the integration with CloudForms that allows additional management of OpenShift environments.

OpenShift has several different roles: masters, nodes, etcd and load balancers. An all-in-one setup means running all service on a single system. Since we are only using a single system a load balancer or ha-proxy won’t be configured. If you would like to read more about OpenShift I can recommend the following:

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Detecting Security Vulnerabilities in Docker Container Images

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Overview

Containers, especially Docker container images have been on fire of late and it is simple to understand why? Docker container images give your development and operations organizations a major shot of adrenaline. The results are quite impressive. Applications are developed at never before seen speeds and as such organizations are able to deliver innovation to customers much faster. It’s all so easy, just get on Docker Hub, download a container and run it. So why isn’t everyone already doing this? Unfortunately it is not quite that simple. Enterprises have many other requirements such as security. Once IT operations gets involved they typically start asking a lot of questions. Who built this container? How is the container maintained? Who provides support for the software within the container? Does the software running within the container adhere to our security guidelines? How can we run security compliance checks within containers? How do we update software within containers?
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OpenShift Enterprise v3 Lab Configuration: Innovate Faster, Deliver Sooner

Overview

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OpenShift Enterprise v3 by Red Hat is about building and running next-gen applications. If we look around, we have seen startups in virtually every market segment, turning the competitive landscape upside down. Startup companies like NetFlix, Spotify and Uber have literally pushed the incumbents to the brink of extinction and overtaken entire industries in a very short period of time. How have they been able to rival incumbents 100 times their size? The answer is simple, by bringing innovation to the market faster, much faster. Complacency and overcoming previous successes are very challenging for incumbents. It is much easier for a startup to innovate than an existing company with a degree of legacy. OpenShift v3 will level the playing field and provide organizations the appropriate tooling to rapidly reduce their time-to-market.

OpenShift v3 allows organizations to deliver innovation faster by:

  • Maximizing time developers actually spend developing
  • Enabling efficient clean hand-offs between Dev & Ops (DevOps)
  • Automating development pipelines and continuous integration / delivery
  • Increasing speed of innovation through more frequent experimentation
  • Providing state-of-the-art enterprise grade container infrastructure

In this article we will look at how to setup an OpenShift lab environment and get started on the journey to faster innovation cycles.
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