Project Sveltos - Kubernetes Add-on Controller

Taking the Pain Out of Multi-Cluster Policies, Add-Ons, and Configurations

Managing policies, add-ons, and configurations across multiple Kubernetes clusters is complex and error-prone, but Sveltos simplifies it by automating deployment, ensuring real-time updates, and maintaining scalability, consistency, and compliance.

Kubernetes-Native Configuration Management

Sveltos employs a Kubernetes-native, declarative approach for configuration management across clusters.

Users can define desired states through YAML manifests, which are uniformly applied to all clusters.

This feature supports GitOps, allowing for easier versioning, review, and rollback of configurations—ideal for managing complex, distributed environments with ease.

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Dynamic Multi-Cluster Support and Automated Scaling

Sveltos dynamically detects new clusters and automatically applies the necessary configurations, add-ons, and policies.

This enables seamless scaling: as new clusters are added, Sveltos ensures each is correctly configured.

This feature is valuable for environments needing rapid, scalable responses to evolving demands, like edge clusters.

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Self-Healing and Monitoring Capabilities

Sveltos includes self-healing and monitoring tools to continually check cluster health and reapply configurations if issues arise.

This built-in resilience significantly reduces downtime and minimizes operational overhead by addressing potential problems before they escalate.

This proactive, automated approach to stability enhances reliability and minimizes the need for manual intervention in production.

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Flexible Add-On Management with Rich Integration

Sveltos simplifies deploying, managing, and scaling add-ons, applications, and databases across clusters.

With centralized management, Sveltos ensures components like monitoring, security policies, and databases are consistently configured and updated.

This flexibility helps organizations maintain uniformity, adapt dynamically, and manage diverse services efficiently across clusters.

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Adopters

Leading companies partner with us

At the core of our success lies the experiences of our users. Below, we have compiled the use cases from 3 well-known companies that recently have partnered with us.

Mirantis is set to fully integrate Sveltos into an upcoming innovative open-source offering.

Mirantis, Inc

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Clastix uses Sveltos as the foundation for its multi-cluster application and add-on delivery system.

CLASTIX Labs

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Platform9 is using Sveltos for add-on management of their private cloud platform.

Platform9 Systems

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Use Cases

Sveltos is designed to cater to a wide range of use cases, from small teams to large enterprises.

Project Sveltos enables efficient, declarative deployment and management of database instances across Kubernetes clusters in multi-cloud environments. It standardizes database configurations, including storage, replication, and security settings, ensuring compliance and consistency across clusters. With built-in monitoring and self-healing, Sveltos maintains database health and availability, automatically addressing issues to keep services reliable and performant.

Project Sveltos streamlines the deployment and management of Kubernetes add-ons across clusters, enabling centralized control over tools like monitoring, logging, and security. By using a declarative approach aligned with GitOps, Sveltos ensures add-ons are consistently applied, version-controlled, and easily updated across environments. This automation reduces operational overhead, improves reliability, and maintains uniformity in add-on management across diverse cluster deployments.

Project Sveltos simplifies the deployment and management of NATS clusters across Kubernetes environments, enabling consistent, automated configuration for message streaming and data distribution. With Sveltos's declarative approach, NATS configurations—such as scaling, security settings, and versioning—are uniformly applied across clusters, enhancing reliability in distributed systems. Built-in monitoring and self-healing ensure high availability, automatically addressing issues to keep the messaging infrastructure robust and responsive.

Project Sveltos can deploy Kong as an API Gateway in the management cluster, subsequently deploy nginx services to managed clusters, and finally leverage templating and event mechanisms to expose these services through the API Gateway in the management cluster.