In early 2024, we all had been wondering how OpenAI was going to pay for its $100 billion Stargate datacenter infrastructure project it was rumored to be planning with Microsoft. …
Did AMD Use ChatGPT To Come Up With Its OpenAI Partnership Deal? was written by Timothy Prickett Morgan at The Next Platform.
Here’s an interesting data point in case you ever wondered why things are getting slower, even though the CPU performance is supposedly increasing. Albert Siersema sent me a link to a confusing implementation of spaghetti networking.
It looks like they’re trying to solve the how do I connect two containers (network namespaces) without having the privilege to create a vEth pair challenge with plenty of chewing gum and duct tape tap interfaces 🤦‍♂️
If you follow my blog, you probably know that I’m a big advocate for using Containerlab and Netlab to spin up network labs. I’ve already covered both tools in detail, so I won’t go over the basics again here. You can check the links below if you’re new to them or want a quick refresher. In this post, we’ll look at how to take packet captures in Containerlab labs. So, let’s get started.
Suresh Vinasiththamby
Suresh Vinasiththamby
I know everyone has their own way of running Containerlab, so I thought I’d share how I set up and run my labs. My daily driver is a MacBook, but I run Containerlab on a server that’s set up as Continue reading
As organizations expand Kubernetes adoption—modernizing legacy applications on VMs and bare metal, running next-generation AI workloads, and deploying intelligence at the edge—the demand for infrastructure that is scalable, flexible, resilient, secure, and performant has never been greater. At the same time, compliance, consistent visibility, and efficient management without overburdening teams remain critical.
The combination of Calico Enterprise from Tigera and SUSE Rancher Prime delivers a resilient and scalable platform that combines high-performance networking, robust network security, and operational simplicity in one stack.
Calico Enterprise provides a unified platform for Kubernetes networking, security, and observability:
Deployed with Rancher Prime, these capabilities extend directly into every cluster, enabling security-conscious industries such as finance, healthcare, and government to confidently run Kubernetes for any use case—from application modernization to AI and edge Continue reading
Running Kubernetes inside Kubernetes isn’t just a fun experiment anymore – it’s becoming a key pattern for delivering multi-environment platforms at scale. With KubeVirt, a virtualization add-on for Kubernetes that uses QEMU (an open-source machine emulator and virtualizer), you can run full-featured Kubernetes clusters as virtual machines (VMs) inside a parent Kubernetes cluster. This nested architecture makes it possible to unify containerized and virtualized workloads, and opens the door to new platform engineering use cases.
But here’s the challenge: how can you ensure that these nested clusters, and the workloads within, can reach, and be reached by, your physical network and are treated the same way as any other cluster?
That’s where Calico’s Advanced BGP (Border Gateway Protocol) peering with workloads comes into play. By enabling BGP route exchange between the parent cluster and nested KubeVirt VMs, Calico extends dynamic routing directly to virtualized workloads. This allows nested clusters to participate in the broader network topology and advertise their pod and service IPs just like any other node. Thus eliminating the need for tunnels or overlays to achieve true layer 3 connectivity.
In this blog, we’ll walk through the big picture, prerequisites, and step-by-step configuration for setting up BGP Continue reading
On this episode of the Hedge, Anil Varanasi joins Russ to talk about the complexities of network operations and what Meter is doing in this space.
note: even though this is a more product-heavy episode of the Hedge than usual, it is not sponsored
download
In this challenge lab, you’ll configure a BIRD daemon running in a container as a BGP route reflector in a transit autonomous system. You should be familiar with the configuration concepts if you completed the IBGP lab exercises, but will probably struggle with BIRD configuration if you’re not familiar with it.
Click here to start the lab in your browser using GitHub Codespaces (or set up your own lab infrastructure). After starting the lab environment, change the directory to challenge/01-bird-rr, build the BIRD container with netlab clab build bird if needed, and execute netlab up.
An intellectual is a man who says a simple thing in a difficult way; an artist is a man who says a difficult thing in a simple way. Charles Bukowski - Notes of a Dirty Old Man, 1969 In a world where technology seems to be working against us and seemingly simple things require far READ MORE
The post Containerlab – The Anti-Pattern appeared first on The Gratuitous Arp.
Of all of the hyperscalers and cloud builders, Meta Platforms has always been the one that we expected to design and have manufactured its own CPU and XPU accelerator compute engines. …
Meta Buys Rivos To Accelerate Compute Engine Engineering was written by Timothy Prickett Morgan at The Next Platform.
For years, netlab has had custom configuration templates that can be used to deploy custom configurations onto lab devices. The custom configuration templates can be Jinja2 templates, and you can create different templates (for the same functionality) for different platforms. However, using that functionality if you need an extra command or two makes approximately as much sense as using a Kubernetes cluster to deploy a BusyBox container.
netlab release 25.09 solves that problem with the files plugin and the inline config functionality.
The Address Vector (AV) is a provider-managed mapping that connects remote fabric addresses to compact integer handles (fi_addr_t) used in communication operations. Unlike a routing table, the AV does not store IP (device mappings). Instead, it converts an opaque Fabric Address (FA)—which may contain IP, port, and transport-specific identifiers—into a simple handle that endpoints can use for sending and receiving messages. The application never needs to reference the raw IP addresses directly.
The application begins by requesting an Address Vector (AV) through the fi_av_open() call. To do this, it first defines the desired AV properties in a fi_av_attr structure:
int fi_av_open(struct fid_domain *domain, struct fi_av_attr *attr, struct fid_av **av, void *context);
struct fi_av_attr av_attr = {
.type = FI_AV_TABLE,
.count = 16,
.rx_ctx_bits = 0,
.ep_per_node = 1,
.name = "my_av",
.map_addr = NULL,
.flags = 0
};
Example 4-1: structure Continue reading
I am so happy the first post about sharing my Python scripts got such a […]
The post From Classroom to Community 2 - ROT13 and Math Quizzer first appeared on Brezular's Blog.
What does Cerebras Systems, the first successful waferscale computing commercializer and a contender in the race to provide compute for the world’s burgeoning AI inference workload, do for an encore? …
What Is Cerebras Going To Do With That $1.1 Billion In New Funding? was written by Timothy Prickett Morgan at The Next Platform.
Back at the end of July, we had a discussion with CPU maker AMD and the topic of conversation was hybrid cloud. …
Arm Says Neoverse Is A More Universal Compute Substrate Than X86 was written by Timothy Prickett Morgan at The Next Platform.
In the EVPN Designs: Layer-3 Inter-AS Option A, I described the simplest multi-site design in which the WAN edge routers exchange IP routes in individual VRFs, resulting in two isolated layer-2 fabrics connected with a layer-3 link.
Today, let’s explore a design that will excite the True Believers in end-to-end layer-2 networks: two EVPN fabrics connected with an EBGP session to form a unified, larger EVPN fabric. We’ll use the same “physical” topology as the previous example; the only modification is that the WA-WB link is now part of the underlay IP network.
What’s the difference between Meta Platforms and OpenAI? The big one – and perhaps the most important one in the long run – is that when Meta Platforms does a deal with neocloud CoreWeave, it actually has a revenue stream from its advertising on various Web properties that it can pump back into AI investments while OpenAI is still burning money much faster than it is making it. …
Get Your Money For Nothing, Chips Definitely Not For Free was written by Timothy Prickett Morgan at The Next Platform.