System Architecture

Ever heard of zero-knowledge? It’s a really big thing in the world of technology, especially blockchain technology. And yes, we see the paradox, but let's explain.

Modern applications run typically in the cloud. As good residents, distributed applications must fulfill many requirements in order to enable reliable operations and maintenance. This article summarizes the most important points in order to go live and to keep applications healthy over their lifetime. Twelve-factor app All modern cloud applications should comply with the 12-factor app principles: Codebase is tracked in a version control system, the same code will be deployed in different environments Dependencies are shipped with the deployable artifact Backing Services can be detached and re-attached without code changes (e.

Lambda architecture is a data processing architecture designed to handle large amounts of data by combining batch processing with real-time stream processing.Lambda architecture provides a way to handle both real-time and batch processing in a single architecture.

New 5th Gen Intel Xeon processors and Core Ultra mobile processor family are aimed at bringing AI to all compute devices.

Search is undergoing a transformative shift in which hybrid systems are blending the precision of keywords with the depth of semantic understanding.

First Terraform, and now Vault: More open source code left by HashiCorp is a finding a home with potential competitors. This time, IBM is sniffing around the spoils.

Telepresence: a local development environment for a remote Kubernetes cluster

Documentation and guides from the team at Fly.io.

Two talks at KubeCon+CloudNativeCon 2023 showed the range of tools and services in the observability space.

If not VPNs, then what? These three ideas for connectivity might change the network future by rethinking the traditional service provider concept.

While there is a surge in federated social media sites, like Bluesky and Mastodon, some technologists are hoping to take things further than this model of decentralization with fully peer-to-peer applications. Two leading projects, Spritely and Veilid, hint at what this could look like.There are...

ScaleOut Software announced the first open-source release of its digital twin APIs and development workbench for its ScaleOut Digital Twins hosting platform.

At OpenAI I have spent the last few months of my life developing a Kubernetes scheduler plugin to customize preemption to better suit our ML workloads.

Availability measures uptime; 'nines' show reliability. Sequence lowers, parallel boosts. High availability minimizes interruptions. Storage etc.

Let's compare and contrast two simple data structures: stacks and queues

Learn about Attribute-Based Access Control (ABAC) - advanced authorization model using attributes over roles for precise application security and access control

Chatbot users often recommend treating a series of prompts like a conversation, but how does the chatbot know what you're referring back to? A new study reveals the mechanism used by transformer models—like those driving modern chatbots—to decide what to pay attention to.

Idempotency is when doing an operation multiple times is guaranteed to have the same effect as doing it just once. When working with APIs…

Generating all the substrings from a string using recursion

Regular expressions are a potent tool for pattern matching and text manipulation, and Codeium can help you generate them.

Documentation and guides from the team at Fly.io.

There is a growing body of evidence that numerical uncertainty expressions can be used by non-experts to improve decision quality. Moreover, there is some evidence that similar advantages extend to graphic expressions of uncertainty. However, visualizing uncertainty introduces challenges as well. Here, we discuss key misunderstandings that may arise from uncertainty visualizations, in particular the evidence that users sometimes fail to realize that the graphic depicts uncertainty. Instead they have a tendency to interpret the image as representing some deterministic quantity. We refer to this as the deterministic construal error. Although there is now growing evidence for the deterministic construal error, few studies are designed to detect it directly because they inform participants upfront that the visualization expresses uncertainty. In a natural setting such cues would be absent, perhaps making the deterministic assumption more likely. Here we discuss the psychological roots of this key but underappreciated misunderstanding as well as possible solutions. This is a critical question because it is now clear that members of the public understand that predictions involve uncertainty and have greater trust when uncertainty is included. Moreover, they can understand and use uncertainty predictions to tailor decisions to their own risk tolerance, as long as they are carefully expressed, taking into account the cognitive processes involved.

What is the KCL semantic model?

Find out why comprehensive monitoring of your Kafka performance is critical and why standard approaches like server-side monitoring can undercut visibility into Kafka performance – even if you don't realize it until it's too late. Get the tips you need to improve your Kafka monitoring strategy by leveraging tools like eBPF.