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@faun shared a link, 2 months, 2 weeks ago
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Why I Ditched Docker for Podman (And You Should Too)

Older container technologies like Docker have been prone to security vulnerabilities, such as CVE-2019-5736 and CVE-2022-0847, which allowed for potential host system compromise. Podman changes the game by eliminating the need for a persistent background service like the Docker daemon, enhancing sec.. read more  

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@laura_garcia shared a post, 2 months, 3 weeks ago
Software Developer, RELIANOID

🌐 NIS2 is reshaping cybersecurity compliance across Europe.

At RELIANOID, we are fully aligned and compliant with NIS2 requirements, helping organizations strengthen their security posture. 👉 Explore more: https://www.relianoid.com/security-compliances/relianoid-nis2-compliance/ #NIS2#CyberSecurity#Compliance#Regulation#EUCompliance#InfoSec#DataProtection#Go..

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@ketbostoganashvili shared a post, 2 months, 3 weeks ago
Technical Content Writer

Send emails with Vercel and Mailtrap

Next.js Vercel Mailtrap.io

Learn how to integrate Mailtrap with your Vercel-hosted applications to send transactional emails with reliable delivery and comprehensive analytics.

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@ketbostoganashvili shared a post, 2 months, 3 weeks ago
Technical Content Writer

Send emails with Bolt.new and Mailtrap

Bolt Mailtrap.io

Learn how to integrate Mailtrap with your Bolt.new application to send transactional emails and manage contacts without writing complex code.

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@anjali shared a link, 2 months, 3 weeks ago
Customer Marketing Manager, Last9

APM for Kubernetes: Monitor Distributed Applications at Scale

Understand Kubernetes APM by linking request flows with pod, node, and cluster data to get complete visibility at scale.

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@laura_garcia shared a post, 2 months, 3 weeks ago
Software Developer, RELIANOID

🌊 Load Balancing Smart Wave with RELIANOID — Built for Marine Telemetry

The Smart Wave platform is key for real-time telemetry from offshore buoys, vessels, and coastal stations. But how do you ensure it performs reliably — even over satellite links? We've published a new technical guide showing how to load balance Smart Wave using RELIANOID: ✅ MQTT & TCP ingestion for ..

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@faun shared a link, 2 months, 3 weeks ago
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My Own DNS Server At Home

RunningBIND on Fedora with Podmanputs you in the driver’s seat—local DNS, full zone control, and no third-party middlemen. It handles staticforward/reverse zonesacross multiple IPv4 subnets, skips the mess of dynamic updates, and plugs into your router as a recursiveforwarding resolver. Call it a se.. read more  

My Own DNS Server At Home
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@faun shared a link, 2 months, 3 weeks ago
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Vibe Coding Will Break Your Enterprise

Tools likeReplitandLovableare fine for quick hacks. Not for enterprise. They can’t handle service integration, durable state, or transactions that don’t fall apart. What enterprises need: realagentic systems. These aren’t glorified code editors—they’re stateful, resilient operators. They juggle work.. read more  

Vibe Coding Will Break Your Enterprise
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@faun shared a link, 2 months, 3 weeks ago
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How we migrated our Rush.js monorepo to Node type stripping

Calm gutted a 10-year-old Rush.js monorepo and came out faster, cleaner, and way less tangled. The team dropped transpilation, ditched source maps, and went all-in onNode type strippingwithnative ESM. Local dev sped up by 30–40%. CI jobs? 3–6 minutes faster. The overhaul hit everything: killed stubb.. read more  

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@faun shared a link, 2 months, 3 weeks ago
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Top Tech Conferences & Events to Add to Your Calendar in 2025

Check out TechRepublic's events guide for a list of upcoming conferences, some of which are in-person and others that are virtual or hybrid. This list will be updated periodically to include new events and details... read more  

INTELLECT-3 is a frontier-class 100B+ Mixture-of-Experts language model developed by Prime Intellect and trained end-to-end using their large-scale asynchronous RL framework, PRIME-RL. Built on the GLM-4.5-Air base model, INTELLECT-3 combines supervised fine-tuning with long-horizon reinforcement learning across hundreds of verifier-backed environments spanning math, code, science, logic, and agentic tasks.

The model was trained on a high-performance cluster of 512 NVIDIA H200 GPUs across 64 nodes, supported by Prime Intellect’s Sandboxes execution engine, deterministic compute orchestration, and Lustre-backed distributed storage. The result is a model that surpasses many larger systems in reasoning benchmarks while remaining fully open-source.

Prime Intellect released not only the model weights but also the full training recipe: PRIME-RL, Verifiers, the Environments Hub, datasets, and evaluation suites. INTELLECT-3 is positioned as a foundation for organizations seeking to post-train or customize their own frontier-grade models without relying on proprietary AI labs.