Production Kubernetes GPU clusters across AWS, GCP, and Azure average just 5% utilization — with CPU at 8% and memory at 20%. CPU overprovisioning jumped from 40% to 69% year over year. GPU prices are rising for the first time since 2006. The top-performing clusters sustain 49% GPU utilization, proving …
Editorial team 
AI SRE vs Rule-Based Automation: The Agentic Shift
Rule-based automation fires on fixed threshold crossings and executes manually authored playbooks. When CPU exceeds 80%, the script restarts the pod. When latency breaches SLO, the circuit breaker trips. This works for known failure modes but collapses when signals conflict or when root causes span multiple subsystems. A traditional alert …
Editorial team 
DRA Killed the GPU Device Plugin: K8s AI Scheduling in 2026
NVIDIA’s DRA Donation Ends GPU Blindness At KubeCon Europe 2026 in Amsterdam, NVIDIA killed the GPU device plugin model by donating its Dynamic Resource Allocation (DRA) driver for GPUs to the Cloud Native Computing Foundation. That single act retires the device plugin that has made Kubernetes treat your H100 identically …
AI SRE Agents Resolve 11.4% of Real Incidents. Vendors
In IBM Research’s ITBench benchmark, agents built on state-of-the-art models resolved just 11.4% of realistic Site Reliability Engineering scenarios — Kubernetes environments with injected faults, full observability data, and a ReAct-style agent wired to logs, traces, metrics, and a shell. That same class of agent landed 25.2% on security operations …
DevOps Days Brasil: What Cloud Engineers Need to Know
DevOps Days Brasil has become the main technical gathering for platform engineers and SREs operating at scale in the Brazilian market. Here is what to expect and why it matters for cloud practitioners.
Cloud Computing Basics Every Engineer Should Revisit
Even experienced cloud engineers benefit from revisiting core computing concepts. This practical breakdown covers the foundational models, service categories, and architectural patterns that matter across AWS, Azure, GCP, and Kubernetes.
AWS Tutorial for Beginners: A Practical 2026 Starter Guide
A no-fluff, practical walkthrough of AWS fundamentals aimed at engineers and DevOps practitioners who need to build real infrastructure from day one.
What Is Google Cloud Platform? A Technical Breakdown for Engineers
Google Cloud Platform is more than a third-place hyperscaler. For engineers working across multi-cloud environments, understanding GCP’s architecture, Kubernetes heritage, and AI stack is now essential.
What Artificial Intelligence Actually Means for Cloud
Beyond the hype, artificial intelligence is a set of pattern-driven capabilities now embedded in the daily tooling of cloud and DevOps teams. Here is what it actually means in practice for infrastructure professionals.
Azure for Developers: What Engineers Actually Use in 2026
Cut through the marketing noise and learn which Azure services matter most for developers building, deploying, and operating cloud-native workloads in 2026.
What Is AI and How It Works: A Cloud Engineers
Artificial intelligence is no longer an abstract research topic — it is infrastructure. This article breaks down what AI actually is and how it works from the perspective of those who deploy, scale, and maintain it in the cloud.
DevOps Consulting in Brazil: What Cloud Engineers Need
Brazil’s DevOps consulting market has matured rapidly, driven by cloud adoption across regulated industries. This article breaks down what to expect from consultancy engagements, pricing models, and technical deliverables.