Database Monitoring Metrics: What to Track & Why It Matters
Not all database metrics are created equal. Learn which ones to track, why they matter, and how they help you stay ahead of performance issues.
Not all database metrics are created equal. Learn which ones to track, why they matter, and how they help you stay ahead of performance issues.

Anthropic develops new method to peer inside large language models like Claude, revealing advanced capabilities and internal processes. The research demonstrates models plan ahead, use similar blueprint for interpreting ideas across languages, and sometimes work backward from desired outcome. The ap.. read more Â
Sec-Gemini v1steamrolls cybersecurity benchmarks, leaving rivals eating digital dust. Itâs 11% better on CTI-MCQ and 10.5% sharper on CTI-Root Cause Mapping, thanks to cutting-edge threat intelligence and vulnerability insights. With a little help fromGoogle Threat Intelligenceand OSV, it decodes co.. read more Â
Google's Gemini 2.5 Probulldozes through benchmarks like LMArena and GPQA Diamond. With its gargantuan1 million token context windowand zero-cost access, it leavesOpenAIeating its dust. Googleâs sprawling ecosystem welcomes Gemini with open arms. They're not just ruling AI text models; they command .. read more Â

NVIDIA's KAI SchedulerandExostellar's SDGshowcase the nerd ballet of fractional GPU scheduling. KAI slices GPU time like a master chef carving a roast, yet can't keep its focus soloâleading to app skirmishes. In contrast,Exostellar SDGnails resource control, quarantines workloads like a germaphobe, .. read more Â

ChatGPTmoonlights as a virtual Linux machine, performing calculations faster than some actual hardware. Impressive, right? But don't get too excitedâit can't juggle real-time tasks or tap into a GPU. A digital superhero with a glaring Achilles' heel... read more Â

GKEâs now flexes with a colossal 65,000-node clusterâa boon for AI workloads that feast on mega infrastructure. Building on their 50,000+ TPU cluster saga, GKE tackles AI workload quirks like resource juggling and node chatter. In CPU stress tests, they whipped up 65,000 StatefulSet Pods, flaunting .. read more Â
Look sharp!LLM-driven toolsare fabricating package names out of thin air. In commercial models, it's5.2%. For open models, a staggering21.7%. Ideal for those up to no good and into "slopsquatting.".. read more Â

Azure OpenAI Service's Responses APIhas rolled out theComputer Use Agent (CUA)âan AI that actually uses a computer like a human, and no, you're not dreaming. These CUAs harnessmultimodal visionand AI frameworks to navigate tasks with nimble reasoning. Forget your one-trick-pony RPAs; these guys brea.. read more Â

A2A Protocoltosses AI agents from different vendors into a communal sandbox. Over 50 tech behemoths likeGoogle, Salesforce, and PayPalrally behind it. Here, silos crumble. Built on solid tech standards, it lets agents dance through vibrant, multi-agent workflows. Think of it as a revolutionary leap .. read more Â
