TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15209 · Oct 9
#typescript#docker#docker_compose#linux#rdp#virtualization#windows WinBoat lets you run any Windows app on Linux with a smooth, native-like experience by running a full Windows system inside a Docker container using virtualization. It has an elegant interface and automates installation, so you just pick your settings and it handles the rest. You can run individual Windows apps seamlessly alongside Linux apps or access the full Windows desktop when needed. Your Linux files are easily shared with Windows, making file management simple. This helps you use Windows-only software on Linux without complicated setups, though it requires some system resources and setup steps like enabling virtualization and installing Docker. WinBoat is still in beta, so occasional bugs may occur. https://github.com/TibixDev/winboat
Search: #runtime
@golang · Post #58 · 04/22/2018, 08:22 PM
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 · 06/21/2018, 04:17 PM
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 PM
#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