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Kubernetes autoscaling, cost, and the craft of running lean.

Engineering deep-dives, customer stories, and product news from the team building CloudPilot AI.

Featured · Case Study

How a Generative AI Company Cut AWS EKS Costs by 55% with Full-Stack Intelligent Autoscaling

A leading generative AI company reduced its real AWS EKS costs by more than 50% and sharply improved cluster resilience—without changing a single line of code. See how CloudPilot AI's full-stack autoscaling rightsized workloads and reshaped nodes on top of EKS Auto Mode.

CloudPilot AI·Jul 10, 2026·8 min read

Recent posts

Karpenter

CloudPilot AI Now Supports Microsoft Azure: Autonomous Cost and Reliability for AKS

CloudPilot AI now supports Microsoft Azure. AKS already provisions nodes with Karpenter-based Node Auto Provisioning—CloudPilot AI adds the optimization layer on top: rightsizing, safe Spot, and graceful node replacement, through a read-only agent.

CloudPilot AI·5 min
Kubernetes Optimization

Hermes EKS Benchmark: 85% Faster Image Pull and 34% Faster First HTTP 200, No Image Rebuilds

EKS benchmark results for Hermes on OpenSearch, Solr, and Spark: image pull was 71-85% faster, and first HTTP 200 improved by up to 34%, using the original OCI images.

CloudPilot AI·6 min
Karpenter

CloudPilot AI Now Officially Supports Google Cloud: Smart GKE Autoscaling from the Maintainers of Karpenter

CloudPilot AI now officially supports Google Cloud, bringing just-in-time provisioning, workload rightsizing, and predictive Spot handling to GKE—from the maintainers of karpenter-provider-gcp.

CloudPilot AI·4 min
Kubernetes Optimization

Hermes: Cut Pod Ready Time from 4m35s to 14s, No Image Changes

Hermes validates policy-driven SOCI lazy loading on EKS and Karpenter, reducing the scheduled-on-node to Running/Ready path for a 10.8 GB vLLM image from 4m35s to 14s.

CloudPilot AI·4 min
Kubernetes

Up to 45% Less Memory, Zero Compromise: Smart Java Workload Optimization on Kubernetes

Learn how CloudPilot AI jointly optimizes JVM Heap and Kubernetes container resources to cut Java workload memory by 40–45%—without sacrificing stability or requiring manual tuning.

CloudPilot AI·8 min
Company News

CloudPilot AI Achieves SOC 2 Type II Compliance

CloudPilot AI has successfully achieved SOC 2 Type II compliance, validating its enterprise-grade data security, regulatory compliance, and operational excellence for its autonomous SRE-agent platform.

CloudPilot AI·2 min
Cloud Optimization

Beyond the Report: How CloudPilot AI Solves the Efficiency Gaps in Datadog’s 2025 Analysis

Datadog's latest data reveals a harsh reality: 75% of container resources go wasted. This post explores why Karpenter is only half the solution, how CloudPilot AI tackles the 'Long-Tail' Java problem, and the hidden reliability of ARM Spot instances.

JingKang Jiang·4 min
KubeCon

Karpenter at KubeCon + CloudNativeCon North America 2025: Visit Our Project Pavilion Booth

CloudPilot AI·3 min
Kubernetes

Kubernetes Capacity Planning Playbook: How to Balance Performance, Stability, and Cost

Learn how to plan, optimize, and automate Kubernetes capacity. This playbook covers best practices to balance performance, stability, and cloud cost.

CloudPilot AI·9 min

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