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Cisco is boosting network density support for its datacenter switch and router portfolio as it works to deliver the network infrastructure its customers need for cloud architecture, AI workloads and high-performance computing. Cisco’s Nexus 9000 datacenter switches are a core component of the vendor’s enterprise AI offerings.
Juniper Networks is advancing the software for its AI-Native Networking Platform to help enterprise customers better manage and support AI in their datacenters. The HPE acquisition target is also offering a new validated design for enterprise AI clusters and has opened a lab to certify enterprise AI datacenter projects.
Edgecore Networks is taking the wraps off its latest datacenter networking hardware, the 400G-optimized DCS511 spine switch. This new hardware offering aims to address the increasing demands of modern computing infrastructures, particularly in the realms of cloud computing and artificial intelligence.
Heavy metal: Enhancing bare metal provisioning and loadbalancing Kubernetes is generally focused on enabling virtualized compute resources, with containers. An increasingly common use case is to also use it for bare metal hardware provisioning, which is where the Metal3 (pronounced Metal Cubed) open-source project comes in.
NGINX Plus is F5’s application security suite that includes a software loadbalancer, content cache, web server, API gateway, and microservices proxy designed to protect distributed web and mobile applications. This combination also leaves CPU resources available for the AI model servers.”
Juniper’s AI-Native Networking Platform is aimed at unifying its campus, branch and datacenter networking products under a common AI engine. Central to the platform are the firm’s cloud-based, natural language Mist AI and Marvis virtual network assistant (VNA) technology. Marvis Minis for wireless deployments, announced in May.
The user level elements that are managed within such an IaaS cloud are virtual servers, cloud storage and shared resources such as loadbalancers and firewalls. Sign up for the DataCenter Knowledge Newsletter. Modular DataCenters. Sign up for the DataCenter Knowledge Newsletter. Networking.
Similarly, a company may decide to keep its most critical data – everything from financial records to engineering files – local where it can protect this data best. Thus, teams need to able to store, process, and manage real-time data in their own datacenters. Real-World Results for Real-time Data.
One cloud computing solution is to deploy the platform as a means for disaster recovery, business continuity, and extending the datacenter. Whether it is redundant hardware or a private hot-site, keeping an environment up and running 99.99% (insert more 9’s here) of the time is a tough job. Uptime and resiliency.
Solarflare, a global leader in networking solutions for modern datacenters, is releasing an Open Compute Platform (OCP) software-defined, networking interface card, offering the industry’s most scalable, lowest latency networking solution to meet the dynamic needs of the enterprise environment. Hardware Based Security (ServerLock).
They manage dedicated firewalls for us, but as far as loadbalancers we use the cloud. I wasn’t sure cloud loadbalancing would be right, for example, but they showed us the numbers. Managed Data Becomes Latisys. Sign up for the DataCenter Knowledge Newsletter. Modular DataCenters.
Solarflare, a global leader in networking solutions for modern datacenters, is releasing an Open Compute Platform (OCP) software-defined, networking interface card, offering the industry’s most scalable, lowest latency networking solution to meet the dynamic needs of the enterprise environment. Hardware Based Security (ServerLock).
Insights into DataCenter Infrastructure, Virtualization, and Cloud Computing. Essentially the punchline is this: Weve taken the most commonly-purchased hardware configuration and management tools used by mission-critical IT Ops, and integrated them into a single product with a single GUI that you can install and use in ~ 1 day.
Insights into DataCenter Infrastructure, Virtualization, and Cloud Computing. Its similar in concept to how the hypervisor is an enabler (but usually not used as a stand-alone product) of datacenter management services. Existing physical IO but with address hardware-based mapping/virtualization (e.g. What is IOV?
Insights into DataCenter Infrastructure, Virtualization, and Cloud Computing. Last week I attended Gartners annual DataCenter Conference in Las Vegas. The next step is to define in software the converged network, its switching, and even network devices such as loadbalancers. Fountainhead.
Insights into DataCenter Infrastructure, Virtualization, and Cloud Computing. a Fabric), and network switches, loadbalancers, etc. And, a single virtualized switching node can present itself as any number of switches and loadbalancers for both storage and network data. Fountainhead.
This is different from the current software first movement in that Cisco’s approach is based on their hardware first view of the network. However, if you were to go by the response to the number of vendors supporting the NSX ecosystem you’d think the entire industry is going against this hardware first religion. Arista – Top of Rack.
Insights into DataCenter Infrastructure, Virtualization, and Cloud Computing. Both are implicitly or explicitly taking aim at each other as they chase the enterprise datacenter market. Big Data. (6). DataCenter efficiency. (1). DataCenter Design. Green DataCenter blog.
Rodriguez provides the usual “massive growth” numbers that necessitated Expedient’s relatively recent migration to 10 GbE in their datacenter. As a provider, Expedient has to balance five core resources: compute, storage (capacity), storage (performance), network I/O, and memory.
This is my usual collection of links, thoughts, rants, and ideas about datacenter-related technologies. First up is Brent Salisbury’s how to build an SDN lab without needing OpenFlow hardware. Servers/Hardware. Is this the beginning of the datacenter fractal edge ? Networking. Virtualization.
Insights into DataCenter Infrastructure, Virtualization, and Cloud Computing. Capital cost – if you count all of the separate hardware components they’re trying to manage. That last bullet, the thing about hardware components, is also something to drill down into. Big Data. (6). DataCenter Design.
Insights into DataCenter Infrastructure, Virtualization, and Cloud Computing. Part 1: What is Converged Infrastructure, and how it will change datacenter management. A converged infrastructure approach offers an elegant, simple-to-manage approach to datacenter infrastructure administration. Fountainhead.
A traditional SRF architecture can be replicated with COTS hardware using multi-queue NICs and multi-core/multi-socket CPUs. Workloads are scheduled across these server/linecards using Valiant LoadBalancing (VLB). IDF 2014: DataCenter Mega-Session. Networking Hardware IDF2014 Intel'
The ability to virtualize the network devices such as firewalls, IPS and loadbalancers also means that these once physical devices that have discrete interfaces can be controlled by software. The question is if IT has the ability to implement and support a physical datacenter let alone a Software-Defined DataCenter (SDDC).
For a start, it provides easy optimization of infrastructural resources since it uses hardware more effectively. Therefore, this allows users to save on hardware and datacenter costs. Traffic routing and loadbalancing. This is something that every IT trailblazer is aware of. Scalability and modularity.
Here’s another collection of links and articles from around the Internet discussing various datacenter-focused technologies. The rise of the disaggregated network operating system (NOS) marches on: this time, it’s Big Switch Networks announcing expanded hardware support in Open Network Linux (ONL) , upon which its own NOS is based.
I have (hopefully) crafted an interesting and varied collection of links for you today, spanning all the major areas of modern datacenter technology. Kamal Kyrala discusses a method for accessing Kubernetes Services without Ingress, NodePort, or loadbalancers. Servers/Hardware. Networking. release of Netmiko.
As usual, I’ve collected some articles and links from around the Internet pertaining to various datacenter- and cloud-related topics. Servers/Hardware. Welcome to Technology Short Take #119! Now, on to the content! Unfortunately, this appears to be GKE-specific. Nothing this time around.
Before I present this episode’s collection of links, articles, and thoughts on various datacenter technologies, allow me to first wish all of my readers a very merry and very festive holiday season. If you’d like to play around with Cumulus Linux but don’t have a compatible hardware switch, Cumulus VX is the answer. Networking.
I have another collection of links, articles, and thoughts about key datacenter technologies, and hopefully I’ve managed to include something here that will prove useful or thought-provoking. Servers/Hardware. Here’s a Windows-centric walkthrough to using Nginx to loadbalance across a Docker Swarm cluster.
Tom’s key point is that disaggregating software from hardware—which is kind of a given if you’re buying whitebox networking gear—gives you the (potential) flexibility to repurpose network gear based on the software running on it. Servers/Hardware. However, it’s at least possible with whitebox networking gear.
In this post, I’ve collected a few links on various datacenter technologies, news, events, and trends. Servers/Hardware. Sean Collins has an article on building a cheap, compact, and multinode DevStack environment for a home lab that lays out some server hardware decisions and the tools he uses to manage them.
This low level software allowed multiple applications to run on the same physical hardware but believe that they had the box all to themselves. The arrival of virtualization in the datacenter is going to screw all of this up. The arrival of virtualization software changed everything. Permalink | 2 comments | Add to del.icio.us.
Here are my datacenter predictions for the coming year. 3) AI needs to deliver, or spending trails off The amount of investment in AI hardware is exorbitant, and while this has made Nvidia shareholders very happy, other people are not as enthusiastic. On-premises datacenters will die when mainframes do.
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