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HomeAPI ReferenceVoice AgentSpeech-to-TextText-to-SpeechIntelligenceSelf-Hosted Deployments
    • Introduction
    • Deployment Environments
  • Amazon SageMaker
  • Docker/Podman
    • Drivers and Container Orchestration Tools
  • Kubernetes
    • Securing Your Cluster
    • Troubleshooting
  • Deployment
    • Self Service Licensing & Credentials
    • Deploy STT Services
    • Deploy Flux Model (STT)
    • Deploy TTS Services
    • Deploy Voice Agent
    • Status Endpoint
    • Certificate Status
  • Partner Deployment
  • Scaling and Deployment Strategies
    • System Maintenance
    • Blue-Green Deployment
    • Auto-Scaling
    • Metrics Guide
    • Ingress Authentication
    • Redact Usage
    • Log Formats
    • Using Private Container Registries
  • Features
    • Smart Formatting
  • Self-Hosted Add Ons
    • License Proxy
    • Prometheus Integration
    • Deepgram UniMRCP Plugin
    • Using SDKs with Self-Hosted
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  • Should I use this for my self-hosted environment?

Kubernetes

Kubernetes, also known as K8s, is an open source system for automating deployment, scaling, and management of containerized applications. This guide section discusses running Deepgram products in a self-hosted environment using Kubernetes.

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Should I use this for my self-hosted environment?

Kubernetes is a powerful ecosystem that can be customized to meet almost any business requirement. It is a great option for environments with extensive security, availability, and scaling requirements, such as production environments handling high levels of API traffic.

The power of Kubernetes is bundled with a greater level of complexity when compared with lighter platforms such as Docker or Podman. The following environment types usually only require a small, static number of Deepgram containers, which you may consider deploying with Docker/Podman instead:

  • Development environments
  • Proof-of-concept implementations
  • Production environment handling low levels of API traffic

What’s Next

If you’ll deploy with Kubernetes, choose where you will deploy your infrastructure to begin setting up your deployment environment.

  • Amazon Web Services
  • Google Cloud Platform
  • Self-Managed Kubernetes