Servers: Kubernetes, Server-side WebAssembly, and More

posted by Roy Schestowitz on Nov 23, 2022

• How does Kubernetes use etcd?

  Etcd is a lightweight, highly available key-value store accessible to each node in a Kubernetes cluster. Find out how etcd works and learn how to use it inside Kubernetes.

• Explore network plugins for Kubernetes: CNI explained

  With Container Network Interface plugins, IT teams can create and deploy network options for diverse Kubernetes environments. Learn how CNI works and compare top network plugins.

• Server-side WebAssembly prepares for takeoff in 2023

  WebAssembly (Wasm) has been expanding its reach since it began in 2017 as a language for running applications inside web browsers. It began to move beyond the browser in 2019, when Mozilla introduced an open source project called the WebAssembly System Interface (WASI) that provided a framework for WebAssembly apps to access operating system resources. This set the stage for content delivery networks (CDNs) to use WebAssembly to deploy customers' apps without giving them access to the underlying CDN infrastructure.

• Software definition is the next supercomputing step for the Met Office [Ed: Microsoft is trying to 'steal' Linux business by bribing and cheating, as usual. Microsoft does not enhance security in Linux but rather adds back doors.]

  Think of a supercomputer - in greatly simplified terms - as a "great big Linux box". Partitioning in Linux is "tricky," said Ewen, and therefore it's difficult to combine approaches that both meet the needs of the scientific community, and are highly trusted.

• OpenSearch: Self-hosted Open-source Headless Search Engine

  OpenSearch is a free self-hosted headless (RESTful) Search engine that you can setup and use privately in your server.

  It is a distributed search and analytics engine based on Apache Lucene. After adding your data to OpenSearch, you can perform full-text searches on it with all the features you might expect: search by field, search multiple indices, boost fields, rank results by score, sort results by field, and aggregate results.

  It is a community-driven project which started as a fork of Elasticsearch and Kibana (The Data visualization tool), after their license changed.

• TiefVision Is a Deep-Learning Image Search Engine

  TiefVision is implemented in Torch and Play Framework (Scala version). It currently only supports Linux with CUDA-enabled GPU.