Lifecycle Management for Containerized Apps

Delivered as a Service

Rafay Explainer Video Haseeb Budhani on Cloud Expo TV

Rafay’s unique capabilities simplify app lifecycle mgmtacross home-spun and managed Kubernetes clusters

Application Abstraction

Prescriptive application framework makes it easy to define and manage the lifecycle for containerized apps – from deployment to ongoing operations.

Cluster Blueprinting

Kubernetes cluster configuration & customization ensures reliable operations and efficient bring-up in any environment.

Multi-Cluster Federation

Container and metadata distribution pipelines make it easy to deploy and operate containerized apps across Kubernetes clusters, spread across multiple locations.

Enterprise Integrations

Easy integration with critical productivity technologies such as secrets management, runtime configuration updates, and log & metrics aggregation.

Kubernetes Cluster Bringup & Container Deployment

CI/CD Integration

Automate the distribution of new container images across the globe by integrating the Rafay platform directly to CI/CD platform build workflows.

Multi-Cloud Abstraction

Normalize the underlying infrastructure complexities to provide an optional, Kubernetes-based, homogeneous compute fabric across multiple cloud environments.

Customizable, In-Cluster Auto-Scaling

Configurable horizontal (in-cluster) auto-scaling based on default and custom metrics.

Cross-Cluster Deployment & Scaling

Cross-cluster auto-scaling based on business intent.

Containerized App Operations & Dynamic Scaling

Global Traffic Steering and API Management

Automatically steer user traffic based on configured service level objectives (SLO). Leverage Rafay’s distributed API gateway with built-in transport security to improve performance.

Dynamic Workload Placement

Intelligently, dynamically place and operate containers in locations based on policies including performance targets, geo-fencing, and time-of-day.

Application Log & Metrics Aggregation

Automate the collection, aggregation of application logs and metrics generated globally by container replicas via built-in data pipelines.

Operational Debugging & Diagnostics

Debug container replicas running anywhere via shell (console) access and log viewing (tail -f) to quickly diagnose issues in the field.

Containerized App Lifecycle Management

Data & State Synchronization

Leverage a globally consistent object store purpose-built for driving dynamic, personalized applications experiences.

Configuration Synchronization

Fast, reliable delivery of application configuration across all clusters. No need to restart containers for config consumption.

Multiple Application Upgrade Strategies

Flexible containerized application deployment and upgrade options (Recreate, Rolling, Canary, and Blue/Green) with per-site status reporting and auto rollbacks.

Application Health Tracking