To a certain extent, all of the major HPC centers in the world live in the future. …
The Stepping Stones In America To Exascale And Beyond was written by Timothy Prickett Morgan at The Next Platform.
COMMISSIONED: As the world becomes more data-driven, the landscape of safety and security is evolving in remarkable ways. …
The Future Of Security: Harnessing AI And Storage For Smarter Protection was written by Martin Courtney at The Next Platform.
We’re excited to announce that Kivera, a cloud security, data protection, and compliance company, has joined Cloudflare. This acquisition extends our SASE portfolio to incorporate inline cloud app controls, empowering Cloudflare One customers with preventative security controls for all their cloud services.
In today’s digital landscape, cloud services and SaaS (software as a service) apps have become indispensable for the daily operation of organizations. At the same time, the amount of data flowing between organizations and their cloud providers has ballooned, increasing the chances of data leakage, compliance issues, and worse, opportunities for attackers. Additionally, many companies — especially at enterprise scale — are working directly with multiple cloud providers for flexibility based on the strengths, resiliency against outages or errors, and cost efficiencies of different clouds.
Security teams that rely on Cloud Security Posture Management (CSPM) or similar tools for monitoring cloud configurations and permissions and Infrastructure as code (IaC) scanning are falling short due to detecting issues only after misconfigurations occur with an overwhelming volume of alerts. The combination of Kivera and Cloudflare One puts preventive controls directly into the deployment process, or ‘inline’, blocking errors before they happen. This offers a proactive approach essential to Continue reading
Cloudflare runs several multi-tenant Kubernetes clusters across our core data centers. These general-purpose clusters run on bare metal and power our control plane, analytics, and various engineering tools such as build infrastructure and continuous integration.
Kubernetes is a container orchestration platform. It enables software engineers to deploy containerized applications to a cluster of machines. This enables teams to build highly-available software on a scalable and resilient platform.
In this blog post we discuss our Kubernetes architecture, why we needed virtualization, and how we’re using it today.
Multi-tenancy is a concept where one system can share its resources among a wide range of customers. This model allows us to build and manage a small number of general purpose Kubernetes clusters for our internal application teams. Keeping the number of clusters small reduces our operational toil. This model shrinks costs and increases computational efficiency by sharing hardware. Multi-tenancy also allows us to scale more efficiently. Scaling is done at either a cluster or application level. Cluster operators scale the platform by adding more hardware. Teams scale their applications by updating their Kubernetes manifests. They can scale vertically by increasing their resource requests or horizontally by increasing the number of Continue reading
In the previous blog posts, we explored the simplest possible IBGP-based EVPN design and made it scalable with BGP route reflectors.
Now, imagine someone persuaded you that EBGP is better than any IGP (OSPF or IS-IS) when building a data center fabric. You’re running EBGP sessions between the leaf- and the spine switches and exchanging IPv4 and IPv6 prefixes over those EBGP sessions. Can you use the same EBGP sessions for EVPN?
TL&DR: It depends™.
The AI boom is going sonic, and it looks like we had all better cover our ears if we want to be able to hear by the end of the holiday season if the prognostications of the box counters at IDC are correct. …
Datacenter Infrastructure Spending Is Up, And Forecasts Are Even Higher was written by Timothy Prickett Morgan at The Next Platform.
The main conclusions based on testing described in the two VPP blog posts are:
The VPP sFlow plugin provides a lightweight method of exporting real-time sFlow telemetry from a VPP based router. Including the plugin with VPP distributions has no impact on performance. Enabling the plugin provides real-time visibility that opens up additional use cases for VPPs programmable dataplane. For example, VPP is well suited to packet filtering use cases where the number of Continue reading
In the dynamic evolution of AI and cloud computing, the deployment of efficient and reliable hardware is critical. As we roll out our Gen 12 hardware across hundreds of cities worldwide, the challenge of maintaining optimal thermal performance becomes essential. This blog post provides a deep dive into the robust thermal design that supports our newest Gen 12 server hardware, ensuring it remains reliable, efficient, and cool (pun very much intended).
Generally speaking, a server has five core resources: CPU (computing power), RAM (short term memory), SSD (long term storage), NIC (Network Interface Controller, connectivity beyond the server), and GPU (for AI/ML computations). Each of these components can withstand different temperature limits based on their design, materials, location within the server, and most importantly, the power they are designed to work at. This final criteria is known as thermal design power (TDP).
The reason why TDP is so important is closely related to the first law of thermodynamics, which states that energy cannot be created or destroyed, only transformed. In semiconductors, electrical energy is converted into heat, and TDP measures the maximum heat output that needs to be managed to ensure Continue reading
Since exploring the EPE basics, now it’s time to understand the building blocks of the solution.
Overall, there are 3 elements of the EPE solution:
netlab release 1.9.1 brings packet capture capabilities and numerous routing features:
We also added support for Cisco IOSv layer-2 image. You’ll find more details in the release notes.
Meet Georgia, a diligent website administrator at a growing e-commerce company. Every day, Georgia juggles multiple tasks, from managing server uptime to ensuring customer data security. One morning, Georgia receives an email from a security researcher who discovered a potential vulnerability on the website. The researcher struggled to find the right contact information, leading to delays in reporting the issue. Georgia realizes the need for a standardized way to communicate with security researchers, ensuring that vulnerabilities are reported swiftly and efficiently. This is where security.txt comes in.
Security.txt is becoming a widely adopted standard among security-conscious organizations. By providing a common location and format for vulnerability disclosure information, it helps bridge the gap between security researchers and organizations. This initiative is supported by major companies and aligns with global security best practices. By offering an automated security.txt generator for free, we aim to empower all of our users to enhance their security measures without additional costs.
In 2020, Cloudflare published the Cloudflare Worker for the security.txt generator as an open-source project on GitHub, demonstrating our commitment to enhancing web security. This tool is actively used Continue reading
In this blog post, we're going to explore how to Auto-Scale Palo Alto VM-Series Firewalls in AWS. It's a known fact that running heavy instances in AWS can be costly, and it's not wise to have more firewalls running than necessary. But what happens when demand spikes unexpectedly? If we're not prepared, things can get messy quickly.
Auto-scaling these firewalls isn't as simple as pressing a button. There are several components to consider, but don't worry - once you grasp the basics, it's as straightforward as any other topic in the cloud and network world.
This blog post is based on the ideas from the Palo Alto Github repo - https://github.com/PaloAltoNetworks/terraform-aws-vmseries-modules/tree/main/examples/centralized_design_autoscale
As we get into the specifics of auto-scaling Palo Alto VM-Series firewalls in AWS, there are a few assumptions I'd like to lay out. This Continue reading
When I started my home lab, I used a Raspberry Pi 4 that functioned as a router/firewall, and I was pretty happy with it. Then, I needed something solid and cost-effective. There were multiple options like VyOS, PfSense, UniFi, etc, but MikroTik, specifically the hAP ax2, stood out for me. I've been using this for almost a year now, and I absolutely love it. It works as a switch, and firewall and runs my WireGuard VPN, and it has never let me down even once.
Fast forward to today, I started adding more and more devices to the lab, so I was looking for an upgrade. After debating between FortiGate and Palo Alto, I finally settled on buying a Palo Alto PA-440 firewall.
But I would say the main reason behind this decision is that I write a lot of content on Palo Alto, and not having a dedicated device was such a pain. Every time I wanted to write a post, I had to start the lab, and try things out, and not having licenses was preventing me from trying new features and sharing them via a post. Now, with a dedicated unit and Continue reading
Intel recently demonstrated a new type of DIMM memory technology called Multiplexer Combined Rank (MCR), also referred to as MRDIMMs, that provides up to 2.3X better performance for HPC workloads and up to a 2X better on AI inference workloads in comparison to 5th Gen Intel Xeon processors, based on internal Intel analysis. …
How MCR Memory Can More Than Double HPC And AI Performance was written by Rob Farber at The Next Platform.