Qovery is a Cloud Native application deployment platform that simplifies and accelerates the deployment and management of applications in the cloud. It abstracts away the complexity of Kubernetes and cloud provider configurations, allowing developers to focus on building and deploying code rather than managing infrastructure. Qovery provides a streamlined developer experience, enabling teams to easily deploy, scale, and manage applications across different cloud providers, with features like automated environment provisioning, CI/CD integration, and observability.
Qovery’s main value lies in its ability to significantly reduce the operational overhead associated with cloud deployments. It enables faster time-to-market, improved developer productivity, and reduced infrastructure costs. Key use cases include deploying web applications, APIs, microservices, and databases to cloud platforms like AWS, Azure, and GCP, as well as managing staging and production environments with ease.
Qovery is a Cloud Native application deployment platform that simplifies and accelerates the deployment and management of applications across various cloud providers (AWS, Azure, GCP) and Kubernetes clusters. It provides a streamlined developer experience by abstracting away infrastructure complexities, allowing development teams to focus on building and shipping code faster.
Key Features
- Automated Cloud Deployments: Deploy web applications, APIs, microservices, and databases with ease across different cloud providers and Kubernetes.
- Environment as a Service: Provides automated provisioning and management of isolated development, staging, and production environments.
- Integrated CI/CD: Seamlessly integrates with Git providers to automate build, test, and deploy workflows.
- Kubernetes Abstraction: Developers interact with a simplified interface rather than raw Kubernetes YAML or complex cloud configurations.
- Built-in Observability: Offers integrated monitoring, logging, and tracing to provide visibility into application performance and health.
- Resource Optimization (with AI): Uses AI to help optimize cloud resource allocation and reduce infrastructure costs.
- Preview Environments: Automatically creates temporary environments for every pull request, enabling early testing and feedback.
- Security & Compliance: Provides features for managing access control, secrets, and ensuring compliance with security best practices.
Benefits
- Accelerated Time-to-Market: Speeds up the deployment process, allowing features to reach users faster.
- Increased Developer Productivity: Empowers developers with self-service capabilities, reducing dependencies on operations teams.
- Reduced Operational Overhead: Automates many infrastructure management tasks, freeing up valuable engineering time.
- Cost Savings: Optimizes cloud resource utilization and provides tools for managing infrastructure spend.
- Simplified Cloud-Native Adoption: Lowers the barrier to entry for teams adopting Kubernetes and cloud-native architectures.
- Consistency Across Environments: Ensures consistent application behavior from development to production.
- Scalability & Reliability: Builds upon robust cloud and Kubernetes infrastructure to provide scalable and reliable application hosting.