CanaKit Raspberry Pi 4 EXTREME Kit - Aluminum |
Next, follow instruction for installing Docker Engine (Raspberry Pi OS Lite is based on Debian 11).
The diagram shows how the sFlow-RT real-time analytics engine receives a continuous telemetry stream from industry standard sFlow instrumentation build into network, server and application infrastructure and delivers analytics through APIs and can easily be integrated with a wide variety of on-site and cloud, orchestration, DevOps and Software Defined Networking Continue readingNote: One of the important tips for lab environments is to set an auto-shutdown timer, below is one such setting in GCP
I have been working on a few hosted environments which include AWS Sagemaker Notebook instances, Google Cloud Colab, Gradient (Paperspace) etc and all of them are really good and needed monthly subscriptions, I decided to have my own GPU server instance which can be personalized and I get charged on a granular basis.
Installing it is not easy, first, you need to find a cloud-computing instance which has GPU support enabled, AWS and GCP are straightforward in this section as the selection is really easy.
Let’s break this into 3 stages
For a change, I will be using GCP in this case from my usual choice of AWS here.
Choose GPU alongside the Instance
Generic Guidelines — https://cloud.google.com/deep-learning-vm/docs/cloud-marketplace
rakesh@instance-1:~$ sudo apt install jupyter-notebook # Step1: generate the file by typing this line in console jupyter notebook Continue reading
Large language models (LLM) – ChatGPT and friends – are one of those technologies with a crazy learning curve. They look simple and friendly (resulting in plenty of useless demoware) but become devilishly hard to work with once you try to squeeze consistent value out of them.
Most people don’t want to talk about the hard stuff (sexy demoware results in more page views), but there’s an occasional exception, for example All the Hard Stuff Nobody Talks About when Building Products with LLMs describing all the gotchas Honeycomb engineers discovered when creating a LLM-based user interface.
Large language models (LLM) – ChatGPT and friends – are one of those technologies with a crazy learning curve. They look simple and friendly (resulting in plenty of useless demoware) but become devilishly hard to work with once you try to squeeze consistent value out of them.
Most people don’t want to talk about the hard stuff (sexy demoware results in more page views), but there’s an occasional exception, for example All the Hard Stuff Nobody Talks About when Building Products with LLMs describing all the gotchas Honeycomb engineers discovered when creating a LLM-based user interface.
Security researches found another ICMP redirect SNAFU: a malicious wireless client can send redirects on behalf of the access point redirecting another client’s traffic to itself.
I’m pretty sure the same trick works on any layer-2 technology; the sad part of this particular story is that the spoofed ICMP packet traverses the access point, which could figure out what’s going on and drop the packet. Unfortunately, most of the access points the researchers tested were unable to do that due to limitations in the NPUs (a fancier word for SmartNIC) they were using.
Security researches found another ICMP redirect SNAFU: a malicious wireless client can send redirects on behalf of the access point redirecting another client’s traffic to itself.
I’m pretty sure the same trick works on any layer-2 technology; the sad part of this particular story is that the spoofed ICMP packet traverses the access point, which could figure out what’s going on and drop the packet. Unfortunately, most of the access points the researchers tested were unable to do that due to limitations in the NPUs (a fancier word for SmartNIC) they were using.
The following sponsored blog post was written by Anupam Upadhyaya at Palo Alto Networks. We thank Palo Alto Networks for being a sponsor. Palo Alto Networks is the leading vendor in preventing Cobalt Strike C2 communication and blocked 99.2% of tested attacks, with the next leading vendor blocking only 17% of attacks, as cited in a […]
The post Prisma Access Outperforms Against Cobalt Strike Attacks appeared first on Packet Pushers.
We think that server spending is a leading indicator of economic growth or decline, and we are tracking the public companies that peddle systems to try to get a sense of how they are doing to get a better sense of what enterprises, governments, academic institutions, and other organizations separate from the hyperscalers and cloud builders, the latter of which comprise around half of server shipments and slightly less than half of server spending. …
No Server Recession At Lenovo And Supermicro So Far was written by Timothy Prickett Morgan at The Next Platform.
By some estimates, 50 to 70 million tons of e-waste is generated every year, and that number is growing. When sent to landfills to be buried or burned, e-waste can leach toxic chemicals into soil and air. On today’s Heavy Networking, we’ll look at options for responsible disposal of IT gear, including repurposing it on site, reselling or donating it, and working with e-cycling companies.
The post Heavy Networking 684: What To Do With Your E-Waste? appeared first on Packet Pushers.
After discussing the backend and CPE architecture in a typical SD-WAN solution in the SD-WAN Overview webinar, Pradosh Mohapatra mentioned a few SD-WAN security aspects, focusing on typical attack vectors and the usual mitigations.
After discussing the backend and CPE architecture in a typical SD-WAN solution in the SD-WAN Overview webinar, Pradosh Mohapatra mentioned a few SD-WAN security aspects, focusing on typical attack vectors and the usual mitigations.
The following post is by Jeremy Rossbach, Chief Technical Evangelist at Broadcom. We thank Broadcom for being a sponsor. I’ve been preaching the same thing for years: To overcome the challenges of modern network complexity and successfully transform your networks, you need modern network monitoring data. Monitor the user experience and the health of every […]
The post When Making Bets on SASE, Don’t Count on Native SD-WAN Monitoring Tools for Help appeared first on Packet Pushers.
Box is a content cloud that helps organizations securely manage their entire content lifecycle from anywhere in the world, powering over 67% of Fortune 500 businesses. As a cloud-first SaaS, the company provides customers with an all-in-one content solution within a highly secure infrastructure, where organizations can work on any content, from projects and contracts to Federal Risk and Authorization Management Program (FedRAMP)-related content.
Box has two types of operations: cloud-managed Kubernetes clusters in hybrid, multi-cloud, and public cloud environments, and self-managed Kubernetes clusters in co-located data centers. The company runs multiple clusters with sizes of 1,000 nodes and larger. As one of the early adopters of Kubernetes, Box began using Kubernetes much before Google Kubernetes Engine (GKE) or Amazon’s Elastic Kubernetes Services (EKS) was born, and has been on the leading edge of innovation for Kubernetes in areas such as security, observability, and automation.
In collaboration with Tigera, Box shares how Calico helped the company achieve zero-trust security and policy automation at scale in a multi-cluster environment.
ICYMI: Watch this recording from the 2022 CalicoCon Cloud Native Security Summit, where Tapas Kumar Mohapatra of Box shares how Box moved into automated dependency mapping and policy generation with API Continue reading
Migration Coordinator is a fully supported free tool that is built into NSX Data Center to help migrate from NSX for vSphere to NSX (aka NSX-T). Migration Coordinator was first introduced in NSX-T 2.4 with a couple of modes to enable migrations. Through customer conversations over the years, we’ve worked to expand what can be done with Migration Coordinator. Today, Migration Coordinator supports over 10 different ways to migrate from NSX for vSphere to NSX.
In this blog series, we will look at the available approaches and the prep work involved with each of those approaches. This blog series should help choose, from multiple different angles, the right mode to choose for migrating from NSX for vSphere to NSX.
Some of these modes take a cookie-cutter approach and require very little prep work to migrate while others allow you to customize the migration to suit their needs. In this blog, we will take a high level look at these modes.
At a high Continue reading