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Kubernetes access integration

Secure Access toGoogle Kubernetes Engine

Adaptive enables secure, audited kubectl access to Google Kubernetes Engine clusters without sharing kubeconfig credentials.
Kubernetes

How Adaptive works with Google Kubernetes Engine

Adaptive enables secure, audited kubectl access to Google Kubernetes Engine clusters without sharing kubeconfig credentials.

Use Google Kubernetes Engine with Adaptive to give platform engineers, SRE teams, vendors and automation a governed workflow for clusters, namespaces and Kubernetes workloads. Instead of relying on shared kubeconfig files, client certificates and cluster-admin credentials, teams get identity-aware controls and a connected record for review.

Adaptive brokers cluster access for an approved identity and time window without distributing reusable kubeconfig credentials.

Every request is evaluated against the cluster scope and permissions approved for each identity. Teams can then use evidence covering kubectl sessions and administrative actions without piecing together identity, approval and resource records from separate systems.

Access controls

What Adaptive adds to Google Kubernetes Engine

No shared kubeconfigs

For Google Kubernetes Engine, give operators a brokered path to clusters without distributing reusable kubeconfig credentials or client certificates.

Time-bound cluster access

For Google Kubernetes Engine, limit access to the approved cluster and task, with automatic expiry after the requested window.

Auditable kubectl activity

For Google Kubernetes Engine, tie administrative activity back to an authenticated identity for incident response and compliance evidence.

Implementation model

How access works

Keep the tools your team already uses while Adaptive provides the identity, policy, approval and audit layer around Google Kubernetes Engine.

  1. 1

    Connect the cluster

    Add the managed cluster to Adaptive without exposing its control plane credentials to users.

  2. 2

    Set the policy

    Define eligible identities, approval requirements, access duration and the permitted cluster scope.

  3. 3

    Use kubectl

    Approved engineers work through their familiar Kubernetes tooling while Adaptive brokers access.

  4. 4

    Audit the session

    Review who entered the Google Kubernetes Engine, when access was approved and what occurred during the session.

Common workflows

Use cases for Google Kubernetes Engine

  • Production incident response
  • Temporary vendor cluster access
  • SRE and platform operations
  • Governed automation against Kubernetes APIs
FAQ

Google Kubernetes Engine integration questions

What does the Adaptive Google Kubernetes Engine integration do?

Adaptive enables secure, audited kubectl access to Google Kubernetes Engine clusters without sharing kubeconfig credentials.

How does Adaptive protect access to Google Kubernetes Engine?

Adaptive brokers cluster access for an approved identity and time window without distributing reusable kubeconfig credentials. Adaptive evaluates access against the cluster scope and permissions approved for each identity and records kubectl sessions and administrative actions for review.

Who can use the Google Kubernetes Engine integration?

The integration is designed for platform engineers, SRE teams, vendors and automation. Access can be limited by identity, resource, approval status and time window.

What audit evidence is available for Google Kubernetes Engine?

Adaptive connects the authenticated identity and approval context with kubectl sessions and administrative actions, giving security and compliance teams one record to investigate and review.

Govern access to Google Kubernetes Engine with Adaptive
No Network Changes Required
Cloud or On-Premises Deployment
Enterprise-Grade Security