Condense offers a Bring Your Own Cloud (BYOC) model for real-time data streaming that keeps data within the customer's cloud while the vendor manages the control plane. This approach reduces cloud egr…
Internet scanners are systematically probing for AI agent infrastructure, including Model Context Protocol (MCP) servers and AI assistant credential files, according to a SANS Internet Storm Center ha…
QuantumReckon, a new FinOps tool, identifies real cloud and AI spend including token-level costs across Azure, AWS, GCP, Hetzner, Anthropic, and OpenAI with a single read-only sweep, providing tamper-…
A developer solved Gemini cost allocation within a single GCP project by switching from API Keys to Vertex AI calls and using dynamic request labels. By adding custom labels like client_id to each Ver…
A developer explains that AI agents on different clouds often fail to communicate due to security groups blocking inbound traffic, ephemeral IPs and NAT hiding peers, and ingress rules designed for hu…
Cast AI and Kubecost serve different Kubernetes cost management needs: Kubecost provides cost visibility and allocation, while Cast AI automates optimization actions like rightsizing and bin-packing. …
Kubecost, a Kubernetes cost monitoring platform built on OpenCost, tracks costs by namespace, pod, deployment, and label, including compute, network, storage, idle capacity, and GPU costs. It surfaces…
Finops-mcp, a Python package for querying cloud costs via Claude, has been downloaded 54,056 times total on PyPI, with 37,412 downloads in the last 30 days. The latest version 0.8.22 was released May …
Cast AI's 2026 analysis of tens of thousands of production clusters on AWS, GCP, and Azure found average CPU utilization at 8% fleet-wide, down from 10% the prior year. The company identified seven ke…
Kubernetes cost optimization removes waste through technical actions like rightsizing pods and adopting Spot instances, while cost management provides ongoing visibility, allocation, and governance. A…
DiagnosticPro migrated its live product from Firebase, Firestore, GCP, and Vertex AI to a single self-hosted VPS. Before flipping DNS, an adversarial readiness audit revealed that the new database was…
SecondLayer, a Ukrainian legal tech company, proposes training a 860B-parameter Mixture-of-Experts model on a 2 TB corpus of Ukrainian legal data, including 96.2 million court decisions, legislation, …
Anthropic is reportedly in talks to secure a massive compute deal with Meta, seeking access to Meta's GPU clusters for training its AI models. The potential deal highlights the growing importance of h…
Kubernetes Horizontal Pod Autoscaler (HPA) automatically adjusts pod replica counts based on real-time demand, addressing the industry-wide issue of average CPU utilization of just 8% across productio…
Kubernetes rightsizing matches pod resource requests to actual usage, closing an overprovisioning gap where 69% of requested CPU goes unused, according to the 2026 Cast AI report. A five-step workflow…
OSIRIS JSON producers generate private infrastructure snapshots without connecting to third-party AI or SaaS services. The open-source tool runs under user control, discovering inventory and topology …
Elastic has been named a Leader in the Everest Group Enterprise Search Products PEAK Matrix Assessment 2026, holding the largest market share among 16 providers evaluated. The recognition highlights E…
Karpenter, an open-source node provisioner, directly provisions cloud instances without node groups, while Cluster Autoscaler scales pre-defined node groups. Karpenter is faster, cheaper, and more fle…
GPU utilization in production Kubernetes clusters averages just 5%, according to Cast AI's 2026 State of Kubernetes Optimization Report, while hardware costs continue to rise. The GPU Cost Optimizatio…
Agent Substrate, a new platform for running AI agents, reduces idle agent costs by 90% compared to traditional Kubernetes Pod deployments. By using an actor model with checkpoint/restore and gVisor, i…