TGINSIGHT SIMILAR POSTS
Source channel @devilsbelow · Post #146 · Nov 3
🌐Weekly News Digest on West & Central Africa’s Mineral Industries [ October 27 – November 3 ] The week was rich in ministerial rearrangements and efforts to rein in major mining companies. 💡Here are the key highlights: 🏦Afreximbank - Afreximbank's New Chair Announced Support For Domestic Mineral Processing 🇦🇴Angola - Angola Plans to Give Shell Exclusive Rights 🇨🇩DR Congo - The DRC Arranged For $660M of Guarantees From UK Export Finance 🇬🇭Ghana - Ghana to Decentralize Gold Licensing - Ghana to Launch Comprehensive Review of Major Miners 🇱🇷 Liberia - Liberia's President Replaced Mines Minister to Attract American Investments 🇲🇱Mali - World Bank's Arbitration Court Refused to Fast-Track Barrick vs Mali 🇳🇦Namibia - Namibian President Dismissed the Minister of Mines and Assumed the Post Herself 🇳🇪Niger - Niger Forced China's Oil Giant to Hire More Locals 🇳🇬Nigeria - Nigeria Tries Again to Revitalize Its Aliminium Smelter - Nigeria Imposed Additinal 15% Tax on Fuel Imports 🇹🇿 Tanzania - Post-election Unrest Disrupted Shipments Through Dar es Salaam Port #NewsDigest Devils Below
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@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