Edithits GitHub's Container Registry like a buzzsaw, powered by Docker. Built forApple Silicon, it ridesAlpinelike a speed demon. No fuss, just raw efficiency...

F5, Inc. announced new capabilities for F5 BIG-IP Next for Kubernetes in collaboration with NVIDIA Corporation. The F5 BIG-IP Next for Kubernetes will be accelerated with NVIDIA’s BlueField-3 DPUs and the NVIDIA DOCA software framework...

eBPF, Cilium'sTetragon, andSBOMsare the dream team for exposing real-time kernel-level drama inside containers. When these powers combine, they hunt down surprise breaches likeLog4Shellwith a sleuth's precision. Bonus: they shave off20%fromCPU usagewhile they're at it...

Kubernetesrewrites the rulebook on infrastructure. Suddenly, scaling isn't a headache—it's an art. But then there'sYAML. With its peculiar quirks and knack for screwing up, it feels more like a punchline than a solution. EnterHelmand its template circus, juggling dependencies with all the grace of a..

Docker Model Runner injects LLMs into OCI artifacts, seamlessly marrying model delivery with container rituals. No need to invent custom toolchains. Think uncompressed "layers"—they're the secret sauce for faster, sharper, more efficient Model-Runner magic. It's not just a change; it's a quantum lea..

Anthropic's MCPmakes LLMs groove with real-world tools but leaves the backdoor wide open for mischief. Full-Schema Poisoning (FSP) waltzes across schema fields like it owns the place.ATPAsneaks in by twisting tool outputs, throwing off detection like a pro magicians’ misdirection. Keep your eye on t..

Cursorwrestled with flaky tests, tangled in its over-reliance onXPath. A shift todata-testidfinally tamed the chaos. Though it tackled some UI tests, expired API tokens and timestamped transactions revealed its Achilles' heel...

Google's MCP servers arm SecOps teams with direct control of security tools using LLMs.Now, analysts can skip the fluff and get straight to work—no middleman needed. The system ties runbooks to live data, offeringautomated, role-specific security measures. The result? A fusion of top-tier protocols ..

Gorules the realm of long-lived, concurrent agent tasks. Its lightning-fast goroutines and petite memory use make Node.js and Python look like clunky dinosaurs trudging through thick mud. And don't get started on itscancellation mechanism—seamless cancelation, zero drama...

Reinforcement Learningfine-tunes large language models for better performance by adapting outputs based on structured feedback. Scaling RL for LLMs faces resource challenges due to massive computation, model sizes, and engineering problems like GPU idle time. Meta's LlamaRL is a PyTorch-based asynch..