Hyperconvergence is a key topic in IT planning across industries today. As customers look to lower costs and simplify day to day management of their IT operations, the hyperconverged model emerges as fit in a number of operational use cases.
Convergence began at the hardware level, with compute, network, and storage appearing in consolidated platforms, but it’s now accelerating as hyperconvergence goes “software defined”. As a leading software infrastructure stack provider, Red Hat recognizes that reducing the overall moving parts in your infrastructure and simplifying the procurement and deployment processes are core requirements of the next generation elastic datacenter.
Applying a solutions-aligned lens, Red Hat is innovating software defined compute-storage solutions across the portfolio, designed to meet the needs of a broad customer base with diverse requirements. As a vendor-partner in this journey, we recognize the value of bringing storage close to your compute and eliminating the need for discreet storage tier. Doing so across both traditional virtualization and cloud, as well as containers and leveraging our industry-proven software defined storage assets – Red Hat Gluster and Red Hat Ceph Storage – we’ve defined a robust set of efficient, solution-aligned hyperconverged offerings.
This blog provides a short overview of several areas where we see hyperconverged software defined architectures aligning with use cases, with a focus on
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There have been countless advances in technology in the last few years; both in general and at Red Hat. To list just the ones specific to Red Hat could actually boggle the mind. Arguably, some of the biggest advances have come more in the form of “soft” skills. Namely, Red Hat has become really good at listening – not only to our own customers but to our competitors’ customers as well. This is no more apparent than in our approach to applying a self-service catalog to virtualization. Specifically, pairing Red Hat Enterprise Virtualization (RHEV) with CloudForms for the purpose of streamlining and automation of virtual machine provisioning.
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Red Hat engineers have been working to more securely distribute container images. In this post we look at where we’ve come from, where we need to go, and how we hope to get there.
When the Docker image specification was introduced it did not have a cryptographic verification model. The most significant reason (for not having one) was the lack of a reliable checksum hash of image content. Two otherwise identical images could have different checksum values. Without a consistent tarsum mechanism, cryptographic verification would be very challenging. With Docker version 1.10, checksums are more consistent and could be used as a stable reference for
Continue reading “Container Image Signing”
Paradoxically, there has never been a better or more confusing time to discuss which platform is most appropriate for a given workload. As we seek to solve problems around automation, continuous integration / continuous delivery, ease of upgrades, operational complexity, uptime, compliance, and many other complex issues – it quickly becomes clear that there are more than a few viable options. Making matters worse – there is too much focus on the “how” (to adopt a given platform) and not enough focus onthe “why”. To this end, I’d like to address more of the “why” in an attempt to better influence the “how”.
Continue reading “Choosing a Platform Based on Workload Characteristics”
In our first post defending the pet container, we looked at the challenge of complexity facing modern software stacks and one way that containers address this challenge through aggregation. In essence, the Docker “wrapper” consolidates the next level of the stack, much like RPM did at the component level, but aggregation is just the beginning of what the project provides.
If we take a step back and look at the Docker project in context, there are four aspects that contribute to its exceptional popularity:
- it simplifies the way users interact with the kernel, for features we have come to call Linux containers;
- it’s a tool and format for aggregate packaging of software stacks to be deployed into containers;
- it is a model for layering generations of changes on top of each other in a single inheritance model;
- it adds a transport for these aggregate packages.
Continue reading “In Defense of the Pet Container, Part 2: Wrappers, Aggregates and Models… Oh My!”
It’s been a busy few weeks for us on the Atomic Host team, and we’re excited to announce the release of Red Hat Enterprise Linux Atomic Host 7.2.5! This is a big one too. For those not familiar with our release cadence, we release a new version of Atomic Host every six weeks. This enables us to balance the reliability of Red Hat Enterprise Linux with exciting new features and capabilities from our Project Atomic upstream community in a production ready, supportable manor.
Now, let’s walk through some key new features in Atomic Host:
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In November 2015, I blogged about the announcement to bring .NET to RHEL from the .NET Core upstream project to enterprise customers and developers, both as an RPM and as a Linux container. That was quite a moment for the industry and, quite frankly, for me as well, having participated in the discussions that led to the significant announcement with Microsoft. Since then, we have been in tight collaboration to make sure this day would actually arrive. Despite the usual challenges with a relatively new open source project, the project was
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If you’re heading to DockerCon 16 next week in Seattle, connect with us to see why Fortune 500 organizations trust Red Hat for enterprise deployments. Red Hat subject matter experts will be onsite to walk you through real-world use cases for securely developing, deploying and managing container-based applications.
Attend the State of Container Security Session
Join two of Red Hat’s Docker contributors discussing the state of container security today. Senior Software Engineer Mrunal Patel and Thomas Cameron, Global Evangelist of Emerging Technology are presenting on how you can secure your containerized microservices without slowing down development.
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It’s been just over three years since Solomon Hykes presented the world with the (so far) most creative way to use the tar command: the Docker project. Not only does the project combine existing container-technologies and make them easier to use, but its well-timed introduction drove an unprecedented rate of adoption for new technology.
Did people run containers before the Docker project? Yes, but it was harder to do so. The broader community was favoring LXC, and Red Hat was working on a libvirt-based model for Red Hat Enterprise Linux. With OpenShift 2, Red Hat had already been running containers in production for several years – both in an online PaaS as well as on-premise for enterprise customers. The model pre-Docker however was fundamentally different from what we are seeing today: rather than enabling completely independent runtimes inside the containers, the approach in
Continue reading “In Defense of the Pet Container, Part 1: Prelude – The Only Constant is Complexity”
The recent release of Red Hat Cloud Suite marked a new milestone for Red Hat and our customers. First, it is the first in what will become a family of suites. Second, it enables enterprise IT to transform their application development and operations toward an agile, innovation center based on hybrid cloud and devops technologies. Curating a broad set of open source technologies, Red Hat Cloud Suite offers a turnkey Cloud solution with a container-based app-development platform, private-cloud infrastructure, and a common management framework. Specifically, Red Hat Cloud Suite includes
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