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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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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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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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Debugging the One-in-a-Million Failure: Migrating Pinterest’s Search Infrastructure to Kubernetes

Migrating Pinterest's search infrastructure to Kubernetes—toasty, right? But it tripped over a rare hiccup: sluggish 5-second latencies. The culprit? cAdvisor, overzealously spying on memory like a helicopter parent. Flicking off WSS? Problem evaporated... read more  

Debugging the One-in-a-Million Failure: Migrating Pinterest’s Search Infrastructure to Kubernetes
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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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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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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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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
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Critical NVIDIA Container Toolkit Flaw Allows Privilege Escalation on AI Cloud Services

A critical container escape vulnerability (CVE-2025-23266) in NVIDIA Container Toolkit poses a severe threat to managed AI cloud services, earning a CVSS score of 9.0 out of 10.0. This flaw allows37%of cloud environments to potentially be accessed by attackers using a three-line exploit, enabling co.. read more  

Critical NVIDIA Container Toolkit Flaw Allows Privilege Escalation on AI Cloud Services
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Kubernetes Scaling Strategies

Horizontal Pod Autoscaler(HPA) cranks up pods based on CPU, memory, or custom quirks. A dream for stateless adventures, but you'll need a metrics server.Vertical Pod Autoscaler(VPA) fine-tunes CPU and memory for pods. Works like a charm for jobs where scaling out is sketchy, though it demands restar.. read more  

Kubernetes Scaling Strategies
Detect Secrets, created by Yelp Engineering, is a Python-based secret scanner designed for large, complex codebases. It uses a plugin architecture to detect high-risk secrets such as API keys, tokens, passwords, and certificates. The tool focuses on false-positive reduction by hashing baseline fingerprints, allowing teams to track only new or changed exposures over time. It integrates with CI pipelines, pre-commit hooks, and enterprise security workflows. Its extensible design and strong baseline mechanism make it popular in large engineering organizations that need scalable, low-noise secret detection.