Plugins

Platform Engineering Copilot

Tekris Labs · tekrislabs.com

ChatGPT

Design, investigate, and improve cloud infrastructure and internal developer platforms. Focused workflows cover Kubernetes, cloud architecture, networking, Terraform/OpenTofu, CI/CD, GitOps, IAM, secrets, OpenTelemetry, SLOs, incidents, supply-chain safety, cost and migrations. The plugin guides evidence-based investigation and reversible changes, uses official/version-matched documentation, and can coordinate genuine specialist subagents only when the host supports them. It works from material you supply or authorized connected tools; it does not itself access clouds, clusters, pipelines, state or telemetry, and does not run a hosted infrastructure service. Production changes require explicit authorization and verification.

How to install Platform Engineering Copilot in ChatGPT

  1. Open the official listing for Platform Engineering Copilot in the ChatGPT workspace you want to use.
  2. Choose Install plugin if available. Follow any connection steps for the apps listed on the page.
  3. Open a new conversation on a supported ChatGPT surface. Select Platform Engineering Copilot from the plugin options or mention it by name.
Official ChatGPT setup guide

How to use Platform Engineering Copilot

Check the marketplace listing or publisher’s documentation for supported actions and examples.

Historial de posiciones

Consulta el orden de los plugins en el directorio público de ChatGPT por fecha de captura. Popular es una selección editorial. OpenAI no publica cifras de instalaciones ni de uso en este directorio.

– Posición #369
Posiciones registradas (3)
Posiciones registradas
Fecha de capturaCategoríaPosición
Developer Tools#369
Developer Tools#370
Developer Tools#370

Frequently asked questions

Why is Install plugin missing?

Check your account, workspace, plan and region. If the listing says Desktop only, open it in the ChatGPT desktop app.

Funciones

  • Design reliable cloud and Kubernetes platforms with clear trade-offs
  • Diagnose Kubernetes scheduling
  • startup
  • rollout
  • and networking incidents
  • Review Kubernetes workload health
  • probes
  • scaling
  • and disruptions
  • Review Terraform/OpenTofu plans
  • state safety
  • and drift
  • Plan CI/CD and GitOps release and recovery workflows
  • Analyze cloud IAM
  • secrets
  • workload identity
  • and network controls
  • Define user-facing SLOs
  • error budgets
  • and practical alerting
  • Design OpenTelemetry observability for actionable diagnostics
  • Design internal developer platforms
  • golden paths
  • and service catalogs
  • Plan migrations
  • capacity
  • cost
  • and platform supply-chain controlsShow more