Ridgeline, a cloud-native investment management platform, improved infrastructure visibility, automated compliance, and cut cloud costs by over 30% using CloudQuery. By integrating it into their CI/CD pipeline, they scaled to 300+ AWS accounts, expanded resource coverage, and reduced manual overhead—ensuring secure, efficient, and compliant cloud operations.

CloudQuery simplifies data movement with powerful integrations and a flexible CLI. Learn how it supports cloud asset inventory, security, compliance, and more.

Discover how Tempus uses CloudQuery to manage multi-cloud environments at scale, leveraging GCP, Terraform, and Grafana for compliance monitoring and cloud security. Learn from their real-world deployment fetching resources across 80+ AWS accounts and 1000+ GCP projects.

Discover how SkyHawk Security, a leading cloud cybersecurity firm, supercharged its platform by integrating CloudQuery. Learn how they streamlined multi-cloud data collection, saved engineering time, boosted performance, and ensured compliance, empowering their team to focus on core security innovations.

CloudQuery announces its new AWS Cost and Usage Reports (CUR) integration—empowering engineering teams to analyze and optimize cloud spend directly from infrastructure data. Learn how to gain cost visibility, allocate budgets by tags or teams, and uncover hidden cloud expenses with powerful queries and dashboards.

Discover how Hexagon, a global digital reality leader, built a serverless infrastructure data lake with CloudQuery, AWS S3, Glue, and Athena. Learn how they achieved centralized visibility, SQL querying, and historical insights across all cloud accounts, with virtually zero maintenance and significant cost savings.

Unlock your cloud asset inventory with AI! Discover CloudQuery's new Model Context Protocol (MCP) server, enabling any AI agent to directly query your infrastructure data using natural language. Learn how to empower security, FinOps, and infrastructure teams with real-time dashboards, tables, and reports, eliminating manual exports and boosting autonomous decision-making.

Tired of Kubernetes networking chaos? Discover why fragmented tools lead to operational overhead, hidden costs, and security gaps. Learn how a unified approach to Kubernetes networking and security eliminates tool sprawl, enhances threat detection, and drives better outcomes for your modern applications.

As AI adoption scales, traditional gateways fall short of meeting enterprise demands for performance and governance. This article explores how AI gateways enhanced with semantic caching and content guard are reshaping the infrastructure for responsible and scalable AI deployment. From cutting inference costs to enforcing compliance across data center and edge environments, discover how a code-first approach to managing these intelligent gateways enables consistent, high-performance, and secure AI delivery across any architecture.

As APIs power more of today’s digital services, they’ve become prime targets for attackers. Shocking data shows over 50% of APIs use no encryption or authentication, leaving businesses wide open to breaches. This article outlines seven critical strategies—from enforcing encryption and strong authentication to blocking zombie APIs and centralizing key management—that form a robust, multilayered defense. Learn how to reduce your attack surface, secure sensitive data, and protect API-driven systems from modern threats.

Unlock AI-powered Kubernetes troubleshooting! Discover the Model Context Protocol (MCP) and how it standardizes AI agent interactions with Kubernetes tools like kubectl, Helm, and ArgoCD. Learn how to integrate K8s MCP Server with agentic frameworks like PydanticAI for seamless, context-rich cluster management.

DevOps brought developers and operations together to improve software delivery speed and reliability. Now, Platform Engineering builds on that foundation—enabling development teams with self-service tools, golden pathways, and smoother workflows. This article explores how Platform Engineering complements DevOps, supports scale without sacrificing autonomy, and helps high-performing teams reduce complexity while boosting productivity.