As applications are designed, redesigned, or even simply thought about at a high level, we frequently think about technical barriers along side business needs. Business needs may dictate that a new architecture move forward, but technical limitations can sometimes counter how far forward – unless there is something to bridge the gap. The new Neutron network integration between Red Hat Virtualization (RHV) and Red Hat OpenStack Platform (RHOSP) provides such a bridge for business and technical solutions.
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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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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”
Our previous blog explored the basics of SR-IOV, this write-up will highlight how SR-IOV works in Red Hat Enterprise Virtualization. Red Hat Enterprise Virtualization 3.6 enabled SR-IOV to supercharge the network throughput process. This process is easily explained by looking at an example of a logical network in Red Hat Enterprise Virtualization Manager (RHEV-M).
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Many IT organizations have embraced virtualization technologies to leverage well known benefits such as server consolidation, reduced costs, scalability, high utilization rates and so on. Although these benefits are great, sometimes they can cause performance issues due to the overwhelming usage of I/O. One method of reducing performance issues is to enable SR-IOV capabilities that allow a PCIe device to appear to be multiple separate physical PCIe devices. The purpose of SR-IOV is to provide isolation of resources that enable the scalability of VMs and to enable a near-bare metal
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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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Lately, there has been in increase in IT organizations migrating their traditional virtualization workloads to open-source platforms such as Red Hat Enterprise Virtualization (RHEV) . Although there are many reasons for migrating (e.g. cost, features), one key advantage stands out for the open source alternatives. Organizations are now seeing the viability of building on the same platform to integrate open source cloud solutions with traditional applications. No single platform is optimized for each workload type or tier. Not only do organizations get to take advantage of the fast innovation of open source, but they also realize significant cost savings.
Continue reading “Virtual Machine Migration Best Practices”
One of the most compelling features of Red Hat Enterprise Virtualization 3.6 is the ability to hot plug memory. Red Hat Enterprise Virtualization 3.5 provided the ability to hot plug vCPU’s to running virtual machines. Red Hat Enterprise Virtualization 3.6 completes this vision of hot plugging resources on demand.
Why do resource hot plugging capabilities matter to an enterprise IT organization? The two
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Virtualization technologies have evolved such that support for multiple networks on a single host is a must-have feature. For example, Red Hat Enterprise Virtualization allows administrators to configure multiple NICs using bonding for several networks to allow high throughput or high availability. In this configuration, different networks can be used for connecting virtual machines (using layer 2 Linux bridges) or for other uses such as host storage access (iSCSI, NFS), migration, display (SPICE, VNC), or for virtual machine management. While it is possible to consolidate all of these networks into a single network, separating them into multiple networks enables simplified management, improved security, and an easier way to track errors and/or downtime.
The aforementioned configuration works great but leaves us with a network bottleneck at the host level. All networks compete on the same queue in the NIC / in a bonded configuration and Linux will only enforce a trivial quality of service queuing algorithm, namely: pfifo_fast, which queues side by side, where packets can be enqueued based on their Type of Service bits or assigned priority. One can easily imagine a case where a single network is hogging the outgoing link (e.g. during a migration storm where many virtual machines are being migrated out from the host simultaneously or when there is an attacker VM). The consequences of such cases can include things like lost connectivity to the management engine or lost storage for the host.
A simple solution is to configure
Continue reading “Steps to Optimize Network Quality of Service in Your Data Center”