TGINSIGHT SIMILAR POSTS
Source channel @devilsbelow · Post #464 · Jan 20
🌐Weekly News Digest [ January 12 – January 18 ] That was a week full of DRCongo's attempts to indulge its American partners. 💡Here are the key highlights: 🇧🇯 Benin — Singapore-based company will launch oil production at a 56-year old oil field 🇨🇩 DR Congo — DRC to Send 100,000 Tonnes of Copper to the US — DRC is preparing to send the US a list of mineral projects for American investors to take over — State company Gécamines proposes a deal to obtain a mining company, whose sale it has been blocking 🇬🇭 Ghana — Ghana is considering ending contracts that allow companies to keep legacy royalty and tax rates 🇲🇱 Mozambique — The Migration Service detained 5 Chinese and other foreign nationals for informal gold mining and unlawful stay 🇳🇬 Nigeria — Former Warlord Buys American Drones to Hunt for Oil Thieves in Nigeria 🇸🇩 Sudan — 10 Killed in a Collapse of Five Gold Mines in South Kordofan 🇿🇲 Zambia — Two Zambian workers died on January 13 at Mopani Copper Mines’ shaft in Kitwe 🇿🇼 Zimbabwe — Harare creates a monopoly on rehabilitation of rivers polluted by gold mining — The government is taking back a gold mine from a local football club #NewsDigest ➡️ Follow to stay informed - @devilsbelow
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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