Cloudoor provides an automated deployment platform for Kubernetes applications, handling build, test, security scanning, and release across cloud and on‑premise environments. Its smart API gateway processes billions of requests, offers real‑time metrics, instant rollbacks, and supports canary rollouts and A/B testing for safe, data‑driven feature launches. The service enables development teams to focus on coding while ensuring zero‑downtime updates and end‑to‑end visibility into logs and performance.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
SHFounders
Product
Problem
Deploying code to production environments often requires complex orchestration, manual coordination, and carries a high risk of downtime or failed releases, which can disrupt user experience and slow down development cycles.
Solution
Cloudoor offers an automated deployment platform that integrates with Kubernetes environments across cloud and on‑premise infrastructures. Its smart API gateway manages billions of requests while providing real‑time user metrics, instant rollbacks, and controlled rollouts. Developers can focus solely on writing code as Cloudoor handles building, testing, scanning, and deploying applications. Features like canary releases and A/B testing enable safe, data‑driven feature launches with minimal impact. The platform delivers end‑to‑end visibility into logs and metrics throughout the build and deployment process, ensuring reliable, zero‑downtime updates.
Target Audience
Primary customers are software development teams and DevOps engineers who need reliable, automated deployment and release management for Kubernetes‑based applications.
Features
- Automated build, test, and security scanning pipeline that deploys directly to Kubernetes clusters
- Smart API gateway with real‑time request handling, user metrics, and instant rollback capabilities
- Canary release mechanism for gradual rollouts to a subset of users to catch issues early
- Integrated A/B testing tools to compare feature performance and drive data‑backed decisions
- Unified logging and metrics collection across development, staging, and production environments
- Support for both cloud‑based and on‑premise Kubernetes deployments