Do hackers eat turkey? And other Thanksgiving Internet trends

Do hackers eat turkey? And other Thanksgiving Internet trends

Thanksgiving is a tradition celebrated by millions of Americans across six time zones and 50 states, usually involving travel and bringing families together. This year, it was celebrated yesterday, on November 23, 2023. With the Internet so deeply enmeshed into our daily lives, anything that changes how so many people behave is going to also have an impact on online traffic. But how big an impact, exactly?

At a high level: a 10% daily decrease in Internet traffic in the US (compared to the previous week). That happens to be the exact same percentage decrease we observed in 2022. So, Thanksgiving in the US, at least in the realm of Internet traffic, seems consistent with last year.

Let’s dig into more details about how people deal with cooking (or online ordering!) and whether family gatherings are less online, according to our Cloudflare Radar data. We’ll also touch on whether hackers stop for turkey, too.

The Thanksgiving hour: around 15:00 (local time)

While we can see a 10% overall daily drop in US traffic due to Thanksgiving, the drop is even more noticeable when examining traffic on an hour-by-hour basis. Internet activity began to decrease significantly after 12:00 EST, persisting Continue reading

RustRadio improved API 0.4

Since last time, I’ve improved the API a bit. That last post was about API version 0.3. Now it’s on 0.4, and I think it’s getting pretty decent.

0.3 could never have worked very well. The API was VecDeque-based, which means it could not provide a linear view (a slice) of all the data in the buffer.

The 0.4 API is simpler. You get a typed slice, and you read or write to, it as appropriate. Because all streams are currently single writer, single reader, the code is simple, and requires minimal amount of locking.

It’s simpler, but I switched to using memory mapped circular buffers, with a slice as the stream interface. This means that the buffer is allocated only once, yet both reader and writer can use all space available to them, linearly, without having to worry about wrapping around.

The code is still at https://github.com/ThomasHabets/rustradio. I registered the github org rustyradio, too. rustradio was taken. I sent a message to the owner, since it seems to not have any real content, but have not heard back.

Unsafe code

To make this multiuser stream I did have to write some Continue reading

LFNE GNS3 Appliances

This post will be a very short one, more like a note :) Based on the LFNE Docker images (explained here https://ipnet.xyz/2023/11/lfne-linux-for-network-engineers) I’ve created the GNS3 Appliances for easy import into GNS3. The GNS3 Appliances can be downloaded here https://github.com/yotis1982/lfne and imported into GNS3. Have fun!

<p>The post LFNE GNS3 Appliances first appeared on IPNET.</p>

Workers AI Update: Stable Diffusion, Code Llama + Workers AI in 100 cities

Workers AI Update: Stable Diffusion, Code Llama + Workers AI in 100 cities

Thanksgiving might be a US holiday (and one of our favorites — we have many things to be thankful for!). Many people get excited about the food or deals, but for me as a developer, it’s also always been a nice quiet holiday to hack around and play with new tech. So in that spirit, we're thrilled to announce that Stable Diffusion and Code Llama are now available as part of Workers AI, running in over 100 cities across Cloudflare’s global network.

As many AI fans are aware, Stable Diffusion is the groundbreaking image-generation model that can conjure images based on text input. Code Llama is a powerful language model optimized for generating programming code.

For more of the fun details, read on, or head over to the developer docs to get started!

Generated by Stable Diffusion - “Happy llama in an orange cloud celebrating thanksgiving”

Generating images with Stable Diffusion

Stability AI launched Stable Diffusion XL 1.0 (SDXL) this past summer. You can read more about it here, but we’ll briefly mention some really cool aspects.

First off, “Distinct images can be prompted without having any particular ‘feel’ imparted by the model, ensuring absolute freedom of Continue reading

LFNE – Linux For Network Engineers

Formerly known as PFNE – Python For Network Engineer, the images developed to be more than just for Python learning. My choice was to call the new one more generic and pick the Linux For Network Engineers (LFNE) Linux images build with all tools need by network engineers to perform various tasks ranging from simple […]

<p>The post LFNE – Linux For Network Engineers first appeared on IPNET.</p>

Nvidia Proves The Enormous Potential For Generative AI

The exorbitant cost of GPU-accelerated systems for training and inference and latest to rush to find gold in mountains of corporate data are combining to exert tectonic forces on the datacenter landscape and push up a new Himalaya range – with Nvidia as its steepest and highest peak.

The post Nvidia Proves The Enormous Potential For Generative AI first appeared on The Next Platform.

Nvidia Proves The Enormous Potential For Generative AI was written by Timothy Prickett Morgan at The Next Platform.