A friend sent me a video demo of his AI-driven network device configuration proof-of-concept. Before commenting on that idea, I wanted to see how well AI works as an assistant. Once Kristian Larsson mentioned he was using GitHub Copilot, it was obvious what to do next: try it out while working on the next netlab release.
TL&DR:
A friend sent me a video demo of his AI-driven network device configuration proof-of-concept. Before commenting on that idea, I wanted to see how well AI works as an assistant. Once Kristian Larsson mentioned he was using GitHub Copilot, it was obvious what to do next: try it out while working on the next netlab release.
TL&DR:
Picking the right Junos version is important. If you’re not familiar with Juniper, finding and downloading the right software package is confusing. Here’s some guidance on picking the right version.
It’s useful to understand Junos version numbering, and the upgrade policy. Then check the Suggested Releases page to see what they recommend, check if that makes sense, and figure out how to get from here to there.
These days Juniper publishes a new release train every quarter. Versioning is simple “<year>.<quarter>.R<release number>”. So 21.4R1 is released in the 4th quarter of 2021. New releases add new features and support new hardware. Configs may break
They then publish “service releases” on top of that, for example 21.4R1-S1 and 21.4R1-S2. These are supposed to only be bugfixes, but complacency breeds contempt. So sometimes they throw in throw in breaking changes that may render your existing config non-bootable, because why the hell not? Continue reading
If you think designing a new CPU from scratch is hard, you ought to try raising money to do it. …
Money Changes Everything For SiPearl was written by Timothy Prickett Morgan at The Next Platform.
This is a sort of companion piece to my post last week because I saw a very short post here about doing less. It really hit home with me because I’m just as bad as Shawn about wanting everything to be perfect when I write it or create it.
One of the things that I’ve noticed in a lot of content that I’ve been consuming recently is the inclusion of mistakes. When you’re writing you have ample access to a backspace key so typos shouldn’t exist (and autocorrect can bugger off). But in video and audio content you can often make a mistake and not even realize it. Flubbing a word or needed to do a retake for something happens quite often, even if you never see or hear them.
What has me curious and a bit interested is that more of those quick errors are making it in. These are things that could easily be fixed in post production and yet they stay. It’s almost like the creators are admitting that mistakes happen and it’s hard to read scripts perfectly every time like some kind of robot. Honest mistakes over things like pronunciation or difficult word combinations Continue reading
Today on Day Two Cloud we explore what it takes to transition from traditional networking to a career as a cloud network engineer. Guest Kam Agahian shares insights from his own career journey about what's the same and what's different between on-prem and cloud networking, what skills might you want to pick up to make the transition, recommended certifications, and more.
The post Day Two Cloud 189: The Cloud Network Engineer Career Path With Kam Agahian appeared first on Packet Pushers.
Sponsored Feature: Training an AI model takes an enormous amount of compute capacity coupled with high bandwidth memory. …
Why AI Inference Will Remain Largely On The CPU was written by Martin Courtney at The Next Platform.
Containerized applications are complex, which is why an effective container security strategy is difficult to design and execute. As digitalization continues to push applications and services to the cloud, bad actors’ attack techniques have also become more sophisticated, which further challenges container security solutions available on the market.
Despite the discussion around agent vs agentless in the cloud security landscape and which type of solution is better, the most valuable solution is one that provides a wide breadth of coverage. Calico is unique as it is already installed as part of the underlying platform and provides the dataplane for a Kubernetes cluster. When Calico Cloud or Calico Enterprise is deployed, security and observability capabilities can be enabled on top of these core components. We provide a simple plug-and-play active security solution that focuses on securing workloads and the Kubernetes platform with the least amount of complexity and configuration.
Cloud-native applications are susceptible to many attack vectors. We have broken them down to eight, as seen in the following illustration:
In previous blogs, we have explained how the use of vulnerability management, zero-trust workload security, and microsegmentation can help reduce the Continue reading
Years ago I loved ranting about the stupidities of building stretched VLANs to run high-availability network services clusters with two nodes (be it firewalls, load balancers, or data center switches with centralized control plane) across multiple sites.
I collected pointers to those blog posts and other ipSpace.net HA cluster resources on the new High Availability Service Clusters page.
Years ago I loved ranting about the stupidities of building stretched VLANs to run high-availability network services clusters with two nodes (be it firewalls, load balancers, or data center switches with centralized control plane) across multiple sites.
I collected pointers to those blog posts and other ipSpace.net HA cluster resources on the new High Availability Service Clusters page.