Cloud cost optimization platform for AWS, Azure, and GCP with AI-driven insights
CloudKeeper builds a FinOps platform that automates cloud cost management across AWS, Azure, and GCP. The tech stack reveals a data-heavy architecture (Snowflake, BigQuery, ClickHouse, real-time pipelines) paired with container-native optimization (Kubernetes, Karpenter, EKS/AKS/GKE cost attribution), suggesting they're evolving from static cost analysis toward real-time, workload-level cost visibility. Active hiring skews engineering-heavy (4 roles), with director-level positions open—a pattern consistent with scaling a 40% YoY engineering org to handle 10x data growth.
CloudKeeper is a cloud cost optimization and FinOps platform serving mid-market to enterprise companies scaling on AWS, Azure, and GCP. The company operates as an AWS Premier Partner and Google Cloud Partner, offering both advisory services (cost audits, POCs) and a self-service platform suite (Lens for spend visibility, Tuner for automated rightsizing, Commit for commitment optimization, and LensGPT for conversational analytics). Founded in 2019 and headquartered in Singapore, CloudKeeper has worked with 400+ global customers, delivering an average of 20% savings per account with no long-term lock-ins.
AWS, Azure, and GCP. CloudKeeper holds Premier Partner status with AWS and Partner status with Google Cloud, and the product suite includes EKS, AKS, and GKE cost attribution and optimization.
Frontend: React, Angular. Backend: Java, Spring Boot, Go. Data: Snowflake, BigQuery, ClickHouse, MongoDB, MySQL. Infrastructure: Kubernetes, AWS EKS, Azure Kubernetes Service, Google Cloud Functions, GCP Cloud Run. Adopting Karpenter for container optimization.
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