TGINSIGHT SIMILAR POSTS
Kanal tas-sors @linuxgram · Post #17821 · Fra 18
📰Linus T tells The Reg how Linux solo act became a global jam session Ts'o, Hohndel and the man himself spill beans on how checks in the mail and GPL made it all possible If you know anything about Linux's history, you'll remember it all started with Linus Torvalds posting to the Minix Usenet group on August 25, 1991, that he was working on "a (free) operating system (just a hobby, won't be big and professional like gnu) for 386(486) AT clones. 🔗 Source: https://go.theregister.com/feed/www.theregister.com/2026/02/18/linus_torvalds_and_friends/ #linux#gnu
Tfittxija: #runtime
@golang · Post #58 · 22/04/2018 20:22
Why are goroutines not lightweight threads? Kartik Khare shows us his meaning about goroutines, lightweight threads and their difference in GoLang. There are no code examples inside but good thoughts about parallelism, threads and useful links at the end of the article :) #development#runtime#language https://codeburst.io/why-goroutines-are-not-lightweight-threads-7c460c1f155f
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@golang · Post #64 · 21/06/2018 16:17
Hi there! Which ways do you use to avoid memory leaks for REST API? In the following article by Iman Tumorang describes an excellent example of memory leaks, his solution, and results. Must have to read for everyone 😉 #development#runtime#architecture https://hackernoon.com/avoiding-memory-leak-in-golang-api-1843ef45fca8
@githubtrending · Post #15382 · 01/01/2026 12:30
#jupyter_notebook#agent#agentic_ai#agents#authentication#bedrock#core#gateway#identity_management#memory_management#production_code#runtime Amazon Bedrock AgentCore lets you build, deploy, and run AI agents securely at scale with any framework like CrewAI or LangGraph and any model, without managing complex infrastructure. It offers serverless runtime for long tasks up to 8 hours, gateway to connect tools like Slack or APIs easily, memory for personalized experiences, identity management, built-in code interpreter and browser tools, plus observability. This saves time by skipping heavy setup, speeds prototypes to production, cuts costs with pay-per-use, and boosts security—helping you create powerful agents faster for real business needs. https://github.com/awslabs/amazon-bedrock-agentcore-samples