

Now that we’re a long way through 2020, let’s take a look at automated traffic, which makes up almost 40% of total Internet traffic.
This blog post is a high-level overview of bot traffic on Cloudflare’s network. Cloudflare offers a comprehensive Bot Management tool for Enterprise customers, along with an effective free tool called Bot Fight Mode. Because of the tremendous amount of traffic that flows through our network each day, Cloudflare is in a unique position to analyze global bot trends.
In this post, we will cover the basics of bot traffic and distinguish between automated requests and other human requests (What Is A Bot?). Then, we’ll move on to a global overview of bot traffic around the world (A RoboBird’s Eye View, A Bot Day and Bots All Over The World), and dive into North American traffic (A Look into North American Traffic). Lastly, we’ll finish with an overview of how the coronavirus pandemic affected global traffic, and we’ll take a deeper look at European traffic (Bots During COVID-19 In Europe).
On average, Cloudflare processes 18 million HTTP requests every second. This is a great opportunity to understand how bots shape the Continue reading
The post Getting Started With Noction Flow Analyzer appeared first on Noction.
Darren O’Connor put together a BGP looking glass with web GUI. Nothing fancy so far… but he also offers REST API interface (because REST API sounds so much better than HTTP).
The REST API calls return text results, so you can use them straight in a Bash script. For example, here’s a simple script to print a bunch of details about your current IP address:
Darren O’Connor put together a BGP looking glass with web GUI. Nothing fancy so far… but he also offers REST API interface (because REST API sounds so much better than HTTP).
The REST API calls return text results, so you can use them straight in a Bash script. For example, here’s a simple script to print a bunch of details about your current IP address:
On 14 October 2020, I took and passed the Automating Cisco Service Provider Solutions (SPAUTO) exam on my first attempt. This is the fifth DevNet exam I’ve passed and was a topic area in which I was already strong. Many people know me for my CCIE Service Provider Comprehensive Guide where I cover advanced SP technology. Others know me for my Pluralsight Ansible and Python network automation courses that implement an “infrastructure as code” solution to manage MPLS L3VPN route-targets. Suffice it to say that I’ve been doing SP stuff for a while.
Compared to the other concentration exams I’ve passed (ENAUTO and SAUTO), SPAUTO was about the same level of difficulty. The exam has a fair amount of carryover from DEVASC, DEVCOR, and ENAUTO, given the similarities of their blueprints, but is still quite heavy on SP products. Fortunately, there are only a few key products listed on the blueprint, making it narrower than SAUTO (which tested about 15 different APIs). Like ENAUTO, strong Python and network automation skills are important for this exam, and I’d strongly recommend having real-life SP design, implementation, and operations experience before attempting it.
Unlike DEVASC, DEVCOR, ENAUTO, and Continue reading
We are excited to be a gold sponsor of the inaugural SnykCon virtual conference, a free online event from Snyk taking place this week on October 21-22, 2020. The conference will look at best practices and technologies for integrating development and security teams, tools, and processes, with a specific nod of the secure use of containers, from images used as a starting point to apps shared with teams and the public.
At Docker, we know that security is vital to successful app development projects, and automating app security early in the development process ensures teams start with the right foundation and ship apps that have vulnerability scanning and remediation included by default. This year we announced a broad partnership with Snyk to incorporate their leading vulnerability scanning across the entire Docker app development lifecycle. At Snykcon, attendees will learn how to successfully incorporate security scanning into their entire Docker app delivery pipeline.
Some of the highlights from Docker at this event include:
Today's Tech Bytes podcast, sponsored by Apstra, dives into the integration between Apstra’s AOS data center automation platform and the SONiC Enterprise distribution, a Dell-supported version of the open-source SONiC network OS.
The post Tech Bytes: Integrating Automation And Whitebox With Apstra And SONiC (Sponsored) appeared first on Packet Pushers.
The case for a learned sorting algorithm, Kristo, Vaidya, et al., SIGMOD’20
We’ve watched machine learning thoroughly pervade the web giants, make serious headway in large consumer companies, and begin its push into the traditional enterprise. ML, then, is rapidly becoming an integral part of how we build applications of all shapes and sizes. But what about systems software? It’s earlier days there, but ‘The case for learned index structures’(Part 1 Part 2), SageDB and others are showing the way.
Today’s paper choice builds on the work done in SageDB, and focuses on a classic computer science problem: sorting. On a 1 billion item dataset, Learned Sort outperforms the next best competitor, RadixSort, by a factor of 1.49x. What really blew me away, is that this result includes the time taken to train the model used!
Suppose you had a model that given a data item from a list, could predict its position in a sorted version of that list. 0.239806? That’s going to be at position 287! If the model had 100% accuracy, it would give us a completed sort just by running over the dataset and Continue reading
While software design is not the same as network design, there is enough overlap for network designers to learn from software designers. A recent paper published by Butler Lampson, updating a paper he wrote in 1983, is a perfect illustration of this principle. The paper is caleld Hints and Principles for Computer System Design. I’m not going to write a full review here–you should really go read the paper for yourself–but rather just point out some useful bits of the paper.
The first really useful point of this paper is Lampson breaks down the entire field of software design into three basic questions: What, How, and When (or who)? Each of these corresponds to the goals, techniques, and processes used to design and develop software. These same questions and answers apply to network design–if you are missing one of these three areas, then you are probably missing some important set of questions you have not answered yet. Each of these is also represented by an acronym: what? is STEADY, how? is AID, and when? is ART. Let’s look at a couple of these in a little more detail to see how Lampson’s system works.
STEADY stands for simple, timely, efficient, Continue reading
The Department of Energy has formed a partnership between Lawrence Livermore National Laboratory (LLNL) and Los Alamos National Laboratory (LANL) and AI chip startup, SambaNova to deliver systems with acceleration for AI and HPC workloads. …
National Lab Supercomputing Sites Pick SambaNova for AI System Dance was written by Nicole Hemsoth at The Next Platform.