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

deploy the RELIANOID Load Balancer Community Edition v7 on Azure using Terraform

🚀 New Technical Guide Available! You can now deploy the RELIANOID Load Balancer Community Edition v7 on Azure using Terraform in just a few minutes: ✔️ Install prerequisites (Terraform, Azure CLI, SSH keys) ✔️ Use the official Terraform module from the Registry ✔️ Automatically provision all Azure r..

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

How to Track Down the Real Cause of Sudden Latency Spikes

Sudden latency spikes rarely have a single cause. This blog shows how to uncover the real source using traces, histograms, and modern debugging signals.

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

Hidden Correlations Traditional Monitoring Misses

Last9 is built to work with high-cardinality telemetry, and we’ve been covering it in detail through our series. This piece looks at a familiar pain: issues that only show up for a specific tenant or deployment. Why does that context disappear in most monitoring setups?

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@shurup shared a post, 3 months ago
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Helm 4 or Nelm? What's the difference

Helm werf

Helm 4.0.0 brought several new features to its users, such as Server-Side Apply support and kstatus-based resource watching.Nelm, an alternative to Helm created in werf, a CNCF Sandbox project, has been offering these capabilities even before. Nelm has many more new features for Kubernetes deploymen..

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@anjali shared a link, 3 months, 1 week ago
Customer Marketing Manager, Last9

Which Observability Tool Helps with Visibility Without Overspend

A detailed look at observability platforms so you can choose tools that keep visibility high and costs steady as your systems scale.

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@laura_garcia shared a post, 3 months, 1 week ago
Software Developer, RELIANOID

🚀 RELIANOID at DevOpsDays Tel Aviv 2025

📅 December 11, 2025 • 📍 Tel Aviv, Israel What a week ahead! Our team is working full-throttle as we prepare to attend three major events in just a few days — and we’re thrilled to add DevOpsDays Tel Aviv to the list. We’ll be joining the community to share how RELIANOID helps DevOps and platform tea..

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@laura_garcia shared a post, 3 months, 1 week ago
Software Developer, RELIANOID

🛡️ RELIANOID at Black Hat Europe 2025

📅 December 8–11, 2025 • 📍 London, UK RELIANOID is heading to Black Hat Europe 2025, the premier global event for cutting-edge cybersecurity research and innovation. We’ll be in London showcasing how our high-performance ADCs, intelligent proxy architecture, and automated security capabilities help e..

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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.