A large number of vendors claim to use industry-standard CLI, which means “something that looks like Cisco IOS, but we can’t say that in public.” The implementations of that “standard” are full of quirks; as I was making fun of Cisco IOS last week, it’s only fair to look at how others deal with BGP community propagation.
netlab has BGP configuration templates for 14 different platforms1, including these implementations that look like Cisco IOS from a distance if you squint just right2: Arista EOS, Aruba CX, and FRRouting. You can check the configuration templates if you wish; here’s the TC&DB3 overview:
During Developer Week 2024, we introduced AI face cropping in private beta. This feature automatically crops images around detected faces, and marks the first release in our upcoming suite of AI image manipulation capabilities.
AI face cropping is now available in Images for everyone. To bring this feature to general availability, we moved our CPU-based prototype to a GPU-based implementation in Workers AI, enabling us to address a number of technical challenges, including memory leaks that could hamper large-scale use.
Photograph by Suad Kamardeen (@suadkamardeen) on Unsplash
We developed face cropping with two particular use cases in mind:
Social media platforms and AI chatbots. We observed a lot of traffic from customers who use Images to turn unedited images of people into smaller profile pictures in neat, fixed shapes.
E-commerce platforms. The same product photo might appear in a grid of thumbnails on a gallery page, then again on an individual product page with a larger view. The following example illustrates how cropping can change the emphasis from the model’s shirt to their sunglasses.
Photograph by Media Modifier (@mediamodifier) on Unsplash
When handling high volumes of media content, preparing images for production can be Continue reading
The SwiNOG 40 event started with an interesting presentation on Building Trustworthy Network Automation (video) by Damien Garros (now CEO @ OpsMill) who discussed the principles one can use to build a trustworthy network automation solution, including idempotency, dry runs, and transactional changes. He also covered the crucial roles of the declarative approach, version control, and testing.
If you have ever watched any of my network automation materials, you won’t be surprised by anything he said, but if you’re just starting your network automation journey, you MUST watch this presentation to get your bearings straight.
Today, we are announcing Cloudflare’s Browser Developer Program, a collaborative initiative to strengthen partnership between Cloudflare and browser development teams.
Browser developers can apply to join here.
At Cloudflare, we aim to help build a better Internet. One way we achieve this is by providing website owners with the tools to detect and block unwanted traffic from bots through Cloudflare Challenges or Turnstile. As both bots and our detection systems become more sophisticated, the security checks required to validate human traffic become more complicated. While we aim to strike the right balance, we recognize these security measures can sometimes cause issues for legitimate browsers and their users.
A core objective of the program is to provide a space for intentional collaboration where we can work directly with browser developers to ensure that both accessibility and security can co-exist. We aim to support the evolving browser landscape, while upholding our responsibility to our customers to deliver the best security products. This program provides a dedicated channel for browser teams to share feedback, report issues, and help ensure that Cloudflare’s Challenges and Turnstile work seamlessly with all browsers.
Browser developers in Continue reading
From a network engineer’s perspective, it is not mandatory to understand the full functionality of every application running in a datacenter. However, understanding the communication patterns of the most critical applications—such as their packet and flow sizes, entropy, transport frequency, and link utilization—is essential. Additionally, knowing the required transport services, including reliability, in-order packet delivery, and lossless transmission, is important.
In AI fabrics, a neural network, including both its training and inference phases, can be considered an application. For this reason, this section first briefly explains the basic operation of the simplest neural network: the Feed Forward Neural Network (FNN). It then discusses the operation of a single neuron. Although a deep understanding of the application itself is not required, this section equips the reader with knowledge of what pieces of information are exchanged between GPUs during each phase and why these data exchanges are important.
Figure 1-7 illustrates a simple four-layer Feed Forward Neural Network (FNN) distributed across four GPUs. The two leftmost GPUs reside in Node-1, and the other two GPUs reside in Node-2. The training data is fed into the first layer. In real neural networks, this first layer is the input Continue reading
The Ultra Ethernet Specification v1.0 (UES), created by the Ultra Ethernet Consortium (UEC), defines end-to-end communication practices for Remote Direct Memory Access (RDMA) services in AI and HPC workloads over Ethernet network infrastructure. UES not only specifies a new RDMA-optimized transport layer protocol, Ultra Ethernet Transport (UET), but also defines how the full application stack—from Software through Transport, Network, Link, and Physical—can be adjusted to provide improved RDMA services while continuing to leverage well-established standards. UES includes, but is not limited to, a software API, mechanisms for low-latency and lossless packet delivery, and an end-to-end secure software communication path.
Before diving into the details of Ultra Ethernet, let’s briefly look at what we are dealing with when we talk about an AI cluster. From this point onward, we focus on Ultra Ethernet from the AI cluster perspective. This chapter first introduces the AI cluster networking. Then, it briefly explains how a neural network operates during the training process, including an short introduction to the backpropagation algorithm and its forward and backward pass functionality.
Note: This book doesn’t include any complex mathematical algorithms related backpropagation algorithm, or detailed explanation of different neural networks. I have written a book Continue reading
The Calico team was thrilled to participate in KubeCon + CloudNativeCon North America 2025, where we’ll be showcasing the latest advancements in Kubernetes networking, network security, and observability. We’re excited to connect with the vibrant cloud-native community, share insights, and demonstrate how Calico Open Source continues to empower organizations worldwide.
Go Deeper: Calico Silent Disco Schedule at Booth #521CalicoCon North America 2025, your go-to event for the latest in Kubernetes networking, network security, and observability.
Hosted by the Calico team, this hybrid event is your chance to hear directly from Calico engineers and leadership, get hands-on with new features, and take an in-depth look at the state of Project Calico.
We’ll dive into Calico 3.30, Calico eBPF, and Calico Whisker: open source observability for Kubernetes.
To view the full agenda & register, see below or click here:
Event Details
Date: November 10, 2025
Time: 1:00pm to 5:00pm EST
Location: Virtual | The Westin Peachtree Plaza Atlanta
After a day of deep dives and technical Continue reading
What is the relationship between humans and machines? Do we adapt to machines, or do we adapt machines to humans? Does technology drive culture, or does our culture drive our technology? Join Mark Prosser, Eyvonne, Tom, and Russ as they discuss what a sociotechnical system is and how it impacts our lives.
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On August 13, security researchers at Tel Aviv University disclosed a new HTTP/2 denial-of-service (DoS) vulnerability that they are calling MadeYouReset (CVE-2025-8671). This vulnerability exists in a limited number of unpatched HTTP/2 server implementations that do not sufficiently enforce restrictions on the number of times a client may send malformed frames. If you’re using Cloudflare for HTTP DDoS mitigation, you’re already protected from MadeYouReset.
Cloudflare was informed of this vulnerability in May through a coordinated disclosure process, and we were able to confirm that our systems were not susceptible, due in large part to the mitigations we put in place during Rapid Reset (CVE-2023-44487). MadeYouReset and Rapid Reset are two conceptually similar HTTP/2 protocol attacks that exploit a fundamental feature within the HTTP/2 specification: stream resets. In the HTTP/2 protocol, a "stream" represents an independent series of HTTP request/response pairs exchanged between the client and server within an HTTP/2 connection. The stream reset feature is intended to allow a client to initiate an HTTP request and subsequently cancel it before the server has delivered its response.
The vulnerability exploited by both MadeYouReset and Rapid Reset lies in the potential for malicious actors to abuse this Continue reading