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A four day hiking trip into ScreenshotOne infrastructure to solve an issue

Misleading monitor alerts: Turns out, the villain wasexample.comblocking those pesky automated requests. No real service drama here. Just a wake-up call to tame those testing environments!.. read more  

A four day hiking trip into ScreenshotOne infrastructure to solve an issue
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The reality of GitOps application recreation

52%of teams believe they're ace at cloning apps from Git. High-performers?70%of them share in this delusion. Yet, lurking infrastructure wrinkles often deflate their grand plans. GitOps, that wild ride, inspires confidence. It dips, then soars. But just when enthusiasts think they're cruising, they .. read more  

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Implementing High-Performance LLM Serving on GKE: An Inference Gateway Walkthrough

GKE Inference Gatewayflips LLM serving on its head. It’s all about that GPU-aware smart routing. By juggling the KV Cache in real time, it amps up throughput and slices latency like a hot knife through butter... read more  

Implementing High-Performance LLM Serving on GKE: An Inference Gateway Walkthrough
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Stop Wasting Time: The Only Guide You’ll Ever Need to Setup/Fix SSH on EC2

GitHub's giving passwords the boot for HTTPS logins. Say hello topublic-key SSHor a Personal Access Token. So, load up those SSH keys—or hit the road... read more  

Stop Wasting Time: The Only Guide You’ll Ever Need to Setup/Fix SSH on EC2
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Report - AI tools slow down experienced developers by 19%. A wake up call for industry hype?

Open-source devs got stuck, wasting 19% more time on tasks thanks to AI tools—oppose the hype and vendor bluster.Yet, a baffling 69% clung to AI, suggesting some sneaky perks lurk beneath the surface... read more  

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Wix Adds Chaos to CI/CD Pipelines with AI and Improves Reliability

Wixhas slipped probabilistic AI into the mix inCI/CD, and it doesn't clutter the works. This AI chews through build logs, shaving off hours from developer workloads. Migrating 100 modules took three months? Not anymore. They've sliced it to a mere 24-48 hours by marrying AI insights with their sharp.. read more  

Wix Adds Chaos to CI/CD Pipelines with AI and Improves Reliability
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AI is making developers faster, but at a cost

AI adoption edges code quality up by 3.4% and speeds up reviews by 3.1%, but beware—a 7.2% nosedive in delivery stability rears ugly security holes.Mask AI’s risky behavior with afortress-like infrastructure, a central vault for secrets,and a transparency upgrade to reclaim stability and nail compli.. read more  

AI is making developers faster, but at a cost
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AI-Powered Ransomware and Malware Detection in Cloud Environments

Cloud platforms face increasing ransomware and malware threats, leading to a shift towards AI and ML for advanced detection. Supervised models excel at known threats, while unsupervised methods detect novel attacks but generate more false positives. Deep learning is great for complex patterns but la.. read more  

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Use Terraform Modules in Pulumi Without Conversion

Pulumijust leveled up. It now runsTerraformmodules straight up. This means all that slick Pulumi magic paired with the Terraform groundwork you've already laid. Drop in a module, and Pulumi takes over execution and state management. Consider it your bridge to full Pulumi bliss... read more  

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Unlocking High-Performance AI/ML in Kubernetes with DRANet and RDMA

DraNetslaps networking woes straight out the door. It natively handles RDMA in Kubernetes, so you can toss those convoluted scripts. Now in beta and weighing only 50MB, it offers deployments that are lean, speedy, and unyieldingly secure... read more  

Unlocking High-Performance AI/ML in Kubernetes with DRANet and RDMA
DeepSeekMath-V2 is a state-of-the-art mathematical reasoning model built on the DeepSeek-V3.2-Exp-Base architecture with 685 billion parameters. Unlike conventional math-focused language models that optimize only for correct final answers, DeepSeekMath-V2 introduces a self-verification framework where the model generates, inspects, and validates its own mathematical proofs.

This approach enables rigorous, step-by-step reasoning suitable for theorem proving, scientific research, and domains requiring high-integrity logic. The model is trained through a generation-verification loop involving a dedicated LLM-based verifier and reinforcement learning optimized for proof correctness rather than answer matching.

DeepSeekMath-V2 achieves gold-level scores on IMO 2025 and CMO 2024, along with a groundbreaking 118/120 on the Putnam 2024 contest. Released under the Apache 2.0 license and hosted on Hugging Face, it is fully open source for research and commercial use.