Red Hat: Flask on Red Hat Enterprise Linux, OpenShift and SAN vs. NAS
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Develop with Flask and Python 3 in a container on Red Hat Enterprise Linux
In my previous article, Run Red Hat Enterprise Linux 8 in a container on RHEL 7, I showed how to start developing with the latest versions of languages, databases, and web servers available with Red Hat Enterprise Linux 8 even if you are still running RHEL 7. In this article, I?ll build on that base to show how to get started with the Flask microframework using the current RHEL 8 application stream version of Python 3.
From my perspective, using Red Hat Enterprise Linux 8 application streams in containers is preferable to using software collections on RHEL 7. While you need to get comfortable with containers, all of the software installs in the locations you?d expect. There is no need to use scl commands to manage the selected software versions. Instead, each container gets an isolated user space. You don?t have to worry about conflicting versions.
In this article, you?ll create a Red Hat Enterprise Linux 8 Django container with Buildah and run it with Podman. The code will be stored on your local machine and mapped into the container when it runs. You?ll be able to edit the code on your local machine as you would any other application. Since it is mapped via a volume mount, the changes you make to the code will be immediately visible from the container, which is convenient for dynamic languages that don?t need to be compiled. While this approach isn?t the way to do things for production, you get the same development inner loop as you?d have when developing locally without containers. The article also shows how to use Buildah to build a production image with your completed application.
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IBM brings Cloud Foundry and Red Hat OpenShift together
At the Cloud Foundry Summit in The Hague, IBM today showcased its Cloud Foundry Enterprise Environment on Red Hat?s OpenShift container platform.
For the longest time, the open-source Cloud Foundry Platform-as-a-Service ecosystem and Red Hat?s Kubernetes-centric OpenShift were mostly seen as competitors, with both tools vying for enterprise customers who want to modernize their application development and delivery platforms. But a lot of things have changed in recent times. On the technical side, Cloud Foundry started adopting Kubernetes as an option for application deployments and as a way of containerizing and running Cloud Foundry itself.
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SAN vs. NAS: Comparing two approaches to data storage
For a new sysadmin, storage can be one of the more confusing aspects of infrastructure. This confusion can be caused by lack of exposure to new or different technologies, often because storage needs may be managed by another team. Without a specific interest in storage, an admin might find one’s self with a number of misconceptions, questions, or concerns about how or why to implement different solutions.
When discussing enterprise storage, two concepts are at the core of most conversations: storage area networks (SAN) and network-attached storage (NAS). Both options provide storage to clients across a network, which offers the huge benefit of removing individual servers as single points of failure. Using one of these options also reduces the cost of individual clients, as there is no longer a need to have large amounts of local storage.
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