Solutions

• AI & ML

Generative AI and large language models (LLMs) have the potential to revolutionize productivity.

AI & ML Overview

• Alert Manager

Route alerts generated by Prometheus on remote clusters to receivers such as PagerDuty, OpsGenie, Slack, and Teams.

Alert Manager Overview

• App Deployments

Deploy and Operate containerized applications on Kubernetes clusters.

App Deployments Overview

• Auto Scaling

Autoscale Applications using KEDA

• Backup & Restore

Prepare disaster recovery, data migration and data protection for Kubernetes clusters and other components.

Backup & Restore Overview

• Certificate Management

Issue and manage certificates from a variety of supported sources such as Let's Encrypt, HashiCorp Vault and private PKIs.

Certificate Management Overview

• Cost Management

Provide real time and granular visibility into costs for Kubernetes clusters to prevent overspending.

Cost Management Overview

• Databases

Deploy and operate cloud native databases in Kubernetes clusters.

Databases Overview

• Developer Self Service

Configure and enable a self service experience on Kubernetes for developers.

Developer Self Service Overview

• DPU

Offload and accelerate data-centric tasks using Nvidia's DPUs. Free up the main CPU for other workloads.

• Edge

Edge orchestration and management delivers applications and workloads to edge devices.

Edge Overview

• Governance

Configure and enforce your organization's policies on Kubernetes clusters.

Governance Overview

• GPUs

Configure and use Nvidia GPUs on Kubernetes for your AI/ML workloads.

GPU Overview

• Ingress

Deploy and manage Ingress Controllers on your Kubernetes clusters to expose applications externally.

Ingress Overview

• Load Balancer

Configure, deploy and use Load Balancers on Kubernetes clusters running in on-premises environments to expose your applications to users.

Load Balancer Overview

• Logging

Aggregate logs emitted from your Kubernetes resident workloads to a centralized logging platform.

Logging Overview

• Monitoring

Provide deep insights into your cluster's and app's performance to evaluate performance bottlenecks.

Monitoring Overview

• Network Policy

Provide visibility and control of how pods are allowed to communicate with various network entities inside and outside the cluster.

Network Policy Overview

• Secrets

Secure your application and Kubernetes secrets by managing them on key/secret management platforms.

Secrets Overview

• Security

Security requires Kubernetes administrators to address various risk types that can impact various services within a cluster.

Security Overview

• Service Mesh

Control service-to-service communication, delivery of service requests to other services, load balancing, encrypt data, and discover services.

Service Mesh Overview

• Serverless

Enable serverless workloads by automatically managing scaling, deployment, and routing of containerized applications.

Overview

• SIEM

Aggregate and centralize all your Rafay Org audit logs to your corporate Security Information and Event Management (SIEM) for security analytics and forensics.

SIEM Overview

• SSO

Provide a Single Sign-On (SSO) experience for your developers and operations personnel by integrating Rafay to your corporate Identity Provider (IdP).

SSO Overview

• Storage

Configure and provide applications with a cluster-wide pool of storage volumes on the cluster including on-prem storage options.

Storage Overview

• Tracing

System component traces record the latency of and relationships between operations in the cluster.

Tracing Overview

• Troubleshooting

Debug and diagnose issues with applications and your cluster. Provide admins a view into all events and dependencies inside of your cluster.

Troubleshooting Overview

• Virtual Machines

Deploy and Operate Virtual Machines alongside containers on Kubernetes Clusters.

VMs on k8s Overview