System Architecture

Almost all developers use job schedulers stuck in the past. This post explores our modern system that improves dev UX with better tooling

Exploring the homoiconicity feature of LISP and how it makes LISP more of a language for languages

From the basics of Istio service mesh to its benefits, this article covers everything you need to know about Istio service mesh and where eBPF comes into play

Steps to use --cache-from to speed up CI builds that use docker

When and how to use eBPF profiling to your advantage

When you combine it with DHCP, that spells TRACK ME

Wasm is supposed to be a game changer for cloud native computing. But confusion over use cases and debates over standards are slowing things down. #WebAssembly #Wasm

Database and blockchain research are being combined to produce a revolutionary business data-sharing platform.

This month we contributed nerdctl— Docker compatible CLI — to the containerd community.

Docker BuildKit is an opt-in image building engine which offers substantial improvements over the traditional process. BuildKit creates images layers in parallel, accelerating the overall build process.

In the last and final part of the series on Acorn, we will explore how to move applications running in a local development environment to a production environment running in the AWS cloud

Nobody likes paying extra for security features. So why isn't the SSO tax going anywhere?

Beta-grade widget respects your privacy, we're promised

Bringing middleware from theory to practice will require addressing thorny questions about revenue, cost, feasibility, and privacy.

WebAssembly (WASM), is a subset of JavaScript that is extremely strictly typed with a very small subset of instructions. The point? It’s fast, near-native fast because it can do away with the overh…

Victims of a hate group's harassment targeted a vendor the group needed to stay online. The episode offers a template for future cases. But can it scale? #doxxing #swatting #LGBTactivism #transactivism

HTCondor is a software system that creates a High-Throughput Computing (HTC) environment. It effectively uses the computing power of machines connected over a network, be they a single cluster, a set of clusters on a campus, cloud resources either standalone or temporarily joined to a local cluster, or international grids. Power comes from the ability to effectively harness shared resources with distributed ownership. A user submits jobs to HTCondor. HTCondor finds available machines and begins running the jobs there. HTCondor has the capability to detect that a machine running a job is no longer available (perhaps the machine crashed, or maybe it prefers to run another job). HTCondor will automatically restart the job on another machine without intervention from the user. HTCondor is useful when a job must be run many (thousands of) times, perhaps with hundreds of different data sets. With one command, all of the jobs are submitted to HTCondor. Depending upon the number of machines in the HTCondor pool, hundreds of otherwise idle machines can be running the jobs at any given moment. HTCondor does not require an account (login) on machines where it runs a job. HTCondor can do this because of its file transfer and split execution mechanisms. HTCondor provides powerful resource management by match-making resource owners with resource consumers. This is the cornerstone of a successful HTC environment. Other compute cluster resource management systems attach properties to the job queues themselves, resulting in user confusion over which queue to use as well as administrative hassle in constantly adding and editing queue properties to satisfy user demands. HTCondor implements ClassAds, a clean design that simplifies the user’s submission of jobs. ClassAds work in a fashion similar to the newspaper classified advertising want-ads. All machines in the HTCondor pool advertise their resource properties, both static and dynamic, such as available RAM memory, CPU type, CPU speed, virtual memory size, physical location, and current load average, in a resource offer ad. A user specifies a resource request ad when submitting a job. The request defines both the required and a desired set of properties of the resource to run the job. HTCondor acts as a broker by matching and ranking resource offer ads with resource request ads, making certain that all requirements in both ads are satisfied. During this match-making process, HTCondor also considers several layers of priority values: the priority the user assigned to the resource request ad, the priority of the user which submitted the ad, and the desire of machines in the pool to accept certain types of ads over others. Want to learn more? An Introduction to Using HTCondor - Christina Koch

The principle of least awareness. Why systems should only have awareness of lower order dependencies and never of higher order dependents.

The Human Interface Device (HID) standard dates back to the Windows 95 era. It describes how devices like mice and keyboards present themselves to the host computer, and has created a world where a single driver can handle a wide variety of devices from multiple manufacturers. Or it would have, if there weren't actual device manufacturers involved. In the real world, devices stretch and break the standard, each in its own special way. At the 2022 Linux Plumbers Conference, Benjamin Tissoires described how BPF can be used to simplify the task of supporting HID devices.

Info - Aestheticodes visual recognition app was developed by Nottingham University A context or brand specific APP ensures users are able to find and trigger our beautifully

"A conversation with Technical Program Managers on the Chrome release team, learning how they ensure each release goes smoothly."