Butchering AI

I once heard a quote that said, “The hardest part of being a butcher is knowing where to cut.” If you’ve ever eaten a cut of meat you know that the difference between a tender steak and a piece of meat that needs hours of tenderizing is just inches apart. Butchers train for years to be able to make the right cuts in the right pieces of meat with speed and precision. There’s even an excellent Medium article about the dying art of butchering.

One thing that struck me in that article is how the art of butchering relates to AI. Yes, I know it’s a bit corny and not an easy segue into a technical topic but that transition is about as subtle as the way AI has come crashing through the door to take over every facet of our lives. It used to be that AI was some sci-fi term we used to describe intelligence emerging in computer systems. Now, AI is optimizing my PC searches and helping with image editing and creation. It’s easy, right?

Except some of those things that AI promises to excel at doing are things that professionals have spent years honing their Continue reading

Cloud Revenues Will Bust Through $1 Trillion Before Too Long

Cloud is an attitude as much as it is a consumption model. …

Cloud Revenues Will Bust Through $1 Trillion Before Too Long was written by Timothy Prickett Morgan at The Next Platform.

HS072: Making Distributed Work Successful

BGP Labs: Load Balancing across EBGP Paths

Let’s open another juicy can of BGP worms: load balancing. In the first lab exercise, you’ll configure equal-cost load balancing across EBGP paths and tweak the “What is equal cost?” algorithm to consider just the AS path length, not the contents of the AS path.

Cisco vPC in VXLAN/EVPN Network – Part 5 – Potential Pitfalls

Like I hinted at in an earlier post, there are a some failure scenarios you need to consider for vPC. The first scenario we can’t really do much with, but I’ll describe it anyway. The topology is the one below:

Server4 needs to send a packet to Server1. Leaf4 has the following routes for 198.51.100.11:

Leaf4# show bgp l2vpn evpn 198.51.100.11
BGP routing table information for VRF default, address family L2VPN EVPN
Route Distinguisher: 192.0.2.3:32777
BGP routing table entry for [2]:[0]:[0]:[48]:[0050.56ad.8506]:[32]:[198.51.100.11]/272, version 13677
Paths: (2 available, best #2)
Flags: (0x000202) (high32 00000000) on xmit-list, is not in l2rib/evpn, is not in HW

  Path type: internal, path is valid, not best reason: Neighbor Address, no labeled nexthop
  AS-Path: NONE, path sourced internal to AS
    203.0.113.12 (metric 81) from 192.0.2.12 (192.0.2.2)
      Origin IGP, MED not set, localpref 100, weight 0
      Received label 10000 10001
      Extcommunity: RT:65000:10000 RT:65000:10001 SOO:203.0.113.12:0 ENCAP:8
          Router MAC:00ad.e688.1b08
      Originator: 192.0.2.3 Cluster list: 192.0.2.2 

  Advertised path-id 1
  Path type: internal, path is valid, is best path,  Continue reading

NB479: Solar Storm Survival; Cisco’s Sinking Revenue Doesn’t Dampen Wall Street

A Simple Network CI/CD Pipeline

In this blog post, let's look at a very simple Network CI/CD pipeline that manages my Containerlab network topology and configurations. We'll start with the benefits of using CI/CD, cover some basic terminology, and then go through an example.

To give an overview, I use Containerlab to deploy my network labs and Nornir to deploy the configurations. Before CI/CD, my typical workflow involves using containerlab commands to manage the topology. Once the lab is up and running, I use Python to run the Nornir script. This works well because I'm the only one using it. However, I ideally want to put all the configurations into a Git repo to track my changes over time. I also want to test my code (to ensure there are no syntax errors, for example) and automatically push the updates to the devices.

Here is the project repo if you want to clone it and follow along.

Suresh V / simple_bgp_lab · GitLab

GitLab.com

GitLab

What Exactly is CI/CD?

CI/CD stands for Continuous Integration and Continuous Delivery. In simple terms, it means automatically testing and delivering your code. With Continuous Integration (CI), every time you make a change to your code, it's tested automatically Continue reading

Companies Need On-Premise HPC – And For More Than AI, Too

Generative AI and the various capacity and latency needs it has for compute and storage is muscling out almost every other topic when conversations turn to HPC and enterprise. …

Companies Need On-Premise HPC – And For More Than AI, Too was written by Jeffrey Burt at The Next Platform.

Testing Network Automation Data Transformation

Every complex enough network automation solution has to introduce a high-level (user-manageable) data model that is eventually transformed into a low-level (device) data model.

The transformation code (business logic) is one of the most complex pieces of a network automation solution, and there’s only one way to ensure it works properly: you test the heck out of it ;) Let me show you how we solved that challenge in netlab.

Unlocking Ansible: Accessing host_vars and group_vars in a Python Scripts

Welcome to the world of Ansible magic! In this blog post, we're going to uncover the secrets of accessing host_vars and group_vars directly from Python scripts. These variables hold the keys to customizing your automation scripts, empowering you to unlock new levels of flexibility and efficiency in your infrastructure management.

Let’s dive in!

To do this, we’ll use the Ansible API. The Ansible API is a powerful tool that allows you to interact with Ansible programmatically. The documentation for the Ansible API can be found here.

Ansible Project Structure

My ansible project folder structure looks like this

.
├── ansible.cfg
├── ansible_pyapi.py
├── group_vars
│   ├── all.yaml
│   └── host1_2.yaml
├── host_vars
│   ├── host1.yml
│   ├── host2.yml
│   └── host3.yml
└── inventory.ini

Inventory File

My inventory file looks like this:

host1
host2
host3

[host1_2]
host1
host2

[all:vars]
username= "username"
password= "password"

Host Vars and Group Vars

Contents of host_vars and group_vars files are as follows:

host_vars_location: from host_vars/host1.yml

host_vars_location: from host_vars/host2.yml

host_vars_location: from host_vars/host3.yml

all_group_vars: from group_vars/all.yaml

group_vars_location: from group_vars/host1_2.yaml

Accessing Ansible Variables Continue reading

Weekend Reads 051724

The FCC lawfully fined U.S. facilities-based wireless carriers nearly $200 million for selling highly intrusive location data about subscribers without their “opt-in” consent.

Geoff Huston explores the performance of the BBR and Cubic flow control algorithms on the Starlink network through comprehensive measurements.

An instruction set is a lingua franca between compilers and microarchitecture. As such, it has a lot in common with compiler intermediate languages, a subject on which Fred Chow has written an excellent overview

A new malware called Cuttlefish is targeting small office and home office (SOHO) routers with the goal of stealthily monitoring all traffic through the devices and gather authentication data from HTTP GET and POST requests.

But one need not know anything about aeronautics to understand that things are not going well for Boeing, and that the company’s approach is clearly broken. That much was made clear in a new Ars Technica piece from Eric Berger, walking readers through the race between Boeing and SpaceX to develop an astronaut capsule for space travel.

“Legal basis” requirements for data processing, justifying data processing activities and transfers, and adhering to data minimization principles began hitting organizations’ radars with the EU General Data Protection Regulation.

Given Continue reading

Quantile Regression

The Median Isn’t the Message - Stephen Jay Gould

When we think of regression, the most common one, which we all know, is linear regression. It is a fairly popular and simple technique for estimating the mean of some variable conditional on the values of independent variables.

Now imagine if you are a grocery delivery or ride-hailing service and want to show the customer the estimated delivery or wait times. If the distance is smaller, there will be less variability in the waiting time, but if the distance is longer, many things can go wrong, and due to that there can be a lot of variability in the estimate time. If we have to create a model to predict that, we may not want to apply linear regression as that will only tell us the average time.

It’s important to note that one of the key assumptions for applying linear regression is a constant variance (Homoskedasticity). However, many times this is often not the case. The variability is not constant (Heteroscedastic), which violates the linear regression assumption (Linear Regression Notes).

Motivation

Let’s look at a running data for the distance vs. the time it takes to finish. We clearly know Continue reading

Technology Short Take 177

Welcome to Technology Short Take #177! Wow, is it the middle of May already? The year seems to be flying by—much in the same way that all these technical articles keep flying by my Inbox, occasionally getting caught and included here! In this Technology Short Take, I have links on things ranging from physical network designs to running retro operating systems as virtual machines. Surely there will be something useful in here for you!

Networking

• Blogger Evert has a two part series (here and here) on managing NSX ALBs with Terraform.
• Ivan launches a series of blog posts exploring routing protocol designs that can be used to implement EVPN-with-VXLAN L2VPNs in a leaf-and-spine fabric. The first one is here. What’s really cool is that Ivan also includes a netlab topology readers can use to create a lab and see how it works.
• Eduard Tolosa discusses binding wireless network adapters to systemd-nspawn containers.
• Ioannis Theodoridis has a three-part series on how he and his team used tools like Nautobot, Nornir, and Python to help with some extensive network migrations. Check out the series (part 1, part 2, and part 3); I think you’ll find some Continue reading

What is new in Calico 3.28

TL/DR

• A new Grafana dashboard that helps you monitor Calico Typha’s performance and troubleshoot issues.
• Calico eBPF dataplane IPv6 is now GA. It supports true IPv6-only clusters as well as dual-stack clusters.
• Optional Pod startup delay to ensure networking is up in high-churn scenarios.
• Tigera operator now supports multiple IP pools, IP pool modification, affinity for operator pods, priorityclassname, and more!
• Improved policy performance in both eBPF and iptables.
• Calico now ships with a pprof server. Activate the performance server for real-time views of Typha and Felix components and real-time debugging.

Important changes

Calico 3.28 now has enabled VXLAN checksum offload by default for environments with the kernel version of 5.8 or above. In the past, offloading was disabled due to kernel bugs.

Please keep in mind, if you are upgrading to 3.28 this change will take effect after node restarts.

If you encounter unexpected performance issues, you can use the following command to revert to the previous method by using the following command:

kubectl patch felixconfiguration default --type="merge" -p='{"spec":{"FeatureDetectOverride":"ChecksumOffloadBroken=true"}'

Please keep in mind that you can report any issues via GitHub tickets or Slack and include a detailed description of the environment (NIC hardware, kernel, distro, Continue reading

Network Observability in K8s Clusters for Better Troubleshooting

For DevOps and platform teams working with containers and Kubernetes, reducing downtime and improving security posture is crucial. A clear understanding of network topology, service interactions and workload dependencies is required in cloud native applications. This is essential for securing and optimizing your Kubernetes deployment and minimizing response time in the event of failure. Network observability can highlight gaps in network policies for applications that require network policy controls, thus reducing the risk of attack from unsecured egress access or lateral movement of threats within the Kubernetes cluster. However, visualizing workload communication, service dependencies, and active and inactive network security policies presents significant challenges due to the distributed and dynamic nature of

Hedge 226: Making Networking Cool Again

Alexis Bertholf joins Tom Ammon and Russ White to discuss how we can make network engineering cool again—and to talk about how we got into network engineering.

download

HN734: Russ White Hour Part 2: Snowflakes and Network Automation

Case Study: IPng’s mail servers

Intro

I have seen companies achieve great successes in the space of consumer internet and entertainment industry. I’ve been feeling less enthusiastic about the stronghold that these corporations have over my digital presence. I am the first to admit that using “free” services is convenient, but these companies are sometimes taking away my autonomy and exerting control over society. To each their own of course, but for the last few years, I’ve been more and more inclined to take back a little bit of responsibility for my online social presence, away from centrally hosted services and to privately operated ones.

First off - I love Google’s Workspace products. I started using GMail just after it launched, back in 2004. Its user interface is sleek, performant, and very intuitive. Its filtering, granted, could be a bit less … robotic, but that’s made up by labels and an incredibly comprehensive search function. I would dare say that between GMail and Photos, those are my absolute favorite products on the internet.

That said, I have been running e-mail servers since well before Google existed as a company. I started off at M.C.G.V. Stack, the computer club of the University of Continue reading

Public Videos: Kubernetes Service Mesh

All the Kubernetes Service Mesh videos from the Kubernetes Networking Deep Dive webinar with Stuart Charlton are now public. Enjoy!

A Transport Protocol’s View of Starlink