Gke Backup Dr logo

Gke Backup Dr

OrganizationPopular
google
gke-backup-dr

Configures Backup for GKE: the BackupRestore cluster addon, BackupPlan and RestorePlan resources, restore workflows, and CMEK-encrypted backups. Use for backup policies, disaster recovery, or GKE cluster restores. Don't use for database backups.

Overview

Publishergoogle
Repositoryskills
Skill namegke-backup-dr
Stars
20.5K
Forks
1.7K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by google on GitHub. Read the source before you install it.

Installation

Install the Gke Backup Dr AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/google/skills/tree/main/skills/cloud/gke-backup-dr
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/google/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/cloud/gke-backup-dr .claude/skills/gke-backup-dr
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gke Backup Dr in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gke Backup Dr on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gke Backup Dr is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

GKE Backup & Disaster Recovery

Protects stateful GKE workloads using Backup for GKE. Backup for GKE can capture both Kubernetes resource metadata (manifests, configurations, and secrets) and the underlying persistent volume (PV) data — but volume data and secrets are only captured when the backup plan explicitly enables them (see the flags below).

CLI Reference

bash
# Enable the BackupRestore addon (Slow cluster-level update)
gcloud container clusters update {cluster_name} \
  --update-addons=BackupRestore=ENABLED --location={location} --quiet

# Create Backup Plan
gcloud beta container backup-restore backup-plans create {plan_name} \
  --project={project_id} --location={location} \
  --cluster=projects/{project_id}/locations/{location}/clusters/{cluster_name} \
  --all-namespaces \
  --include-volume-data --include-secrets \
  --backup-retain-days={days} --cron-schedule="{cron}" --quiet

# Trigger Manual Backup
gcloud beta container backup-restore backups create {backup_name} \
  --backup-plan={plan_name} --location={location} --quiet

# Create Restore Plan
gcloud beta container backup-restore restore-plans create {restore_plan_name} \
  --location={location} \
  --cluster=projects/{project_id}/locations/{location}/clusters/{target_cluster_name} \
  --backup-plan=projects/{project_id}/locations/{location}/backupPlans/{source_backup_plan_name} \
  --all-namespaces \
  --cluster-resource-conflict-policy=use-existing-version \
  --namespaced-resource-restore-mode=fail-on-conflict --quiet

# Execute Restore
gcloud beta container backup-restore restores create {restore_name} \
  --restore-plan={restore_plan_name} --location={location} \
  --backup=projects/{project_id}/locations/{location}/backupPlans/{source_backup_plan_name}/backups/{backup_name} \
  --quiet

# Verify Restore Status
gcloud beta container backup-restore restores describe {restore_name} \
  --restore-plan={restore_plan_name} --location={location}

[!WARNING] --include-volume-data and --include-secrets BOTH DEFAULT TO FALSE. If you omit them, the backup plan silently produces config-only backups with no persistent volume snapshots and no Secrets. Always pass both flags explicitly when the goal is full workload protection.

Notes:

  • The backup-restore command group requires the gcloud beta component (gcloud components install beta).
  • --cluster requires the full resource path projects/{project_id}/locations/{location}/clusters/{cluster_name} (or projects/{project_id}/zones/{zone}/clusters/{cluster_name} for zonal clusters), not a bare cluster name.
  • Restore plans require exactly one namespaced-resource scope flag: --all-namespaces, --selected-namespaces={ns1},{ns2}, --excluded-namespaces=..., --selected-applications=..., or --no-namespaces.

Restore Safety (CRITICAL)

A restore writes into a live cluster and, depending on the conflict policy, can overwrite or delete existing resources:

  • --cluster-resource-conflict-policy=use-existing-version keeps existing cluster-scoped resources (safe default); use-backup-version deletes the existing version first — deleting a CRD deletes all of its CRs.
  • --namespaced-resource-restore-mode=fail-on-conflict aborts on any conflict (safe default); merge-skip-on-conflict skips conflicting resources; merge-replace-on-conflict and merge-replace-volume-on-conflict overwrite existing resources or volumes; delete-and-restore deletes entire conflicting namespaces (and all resources in them) before restoring.

Rules:

  1. Validate the restore in a non-production target cluster first.
  2. Prefer the safe defaults (use-existing-version + fail-on-conflict) unless the user explicitly needs to revert live resources.
  3. Always obtain explicit user confirmation before executing a restore into a production cluster, and state which conflict policy is in effect and what it may overwrite or delete.

Best Practices

  1. CMEK Encryption: Encrypt backup plans using Customer-Managed Encryption Keys: --encryption-key=projects/{project_id}/locations/{location}/keyRings/{ring}/cryptoKeys/{key}.
  2. Scope: Prefer backing up specific namespaces rather than the entire cluster: --selected-namespaces={ns1},{ns2} (instead of --all-namespaces).
  3. Application Consistency: Recommend quiescing the database or pausing application writes (e.g. using pre-backup hooks or database-specific tools) prior to backups to ensure data integrity.
  4. CSI Volume Snapshots: Ensure that stateful backups utilize GKE's CSI (Container Storage Interface) driver for volume snapshots to capture persistent volume data.
  5. Service Terminology: Always explicitly refer to the service as Backup for GKE in your response. This distinguishes it from the broader (but complementary) Google Cloud Backup and Disaster Recovery (DR) Service, ## Golden Path Backup Defaults

The recommended production golden path configuration for Backup for GKE:

  • Addon: BackupRestore addon enabled (--update-addons=BackupRestore=ENABLED).
  • Volume Inclusion: --include-volume-data explicitly passed (enabled, since the service default is false).
  • Secret Inclusion: --include-secrets explicitly passed (enabled, since the service default is false).
  • Retention: Defined retention period (e.g. 30 days via --backup-retain-days=30).
  • Encryption: CMEK enabled (--encryption-key=...).

Recent Changes

  • Cross-project backup and restore (GA): Backup plans can store backups in a different project than the source cluster, and restore plans can target clusters in a third project. Enables centralized backup projects (with immutability/retention managed by a platform team) and cross-project environment seeding without granting access to the source project.
  • Pricing change (effective 2026-03-02): The backup management fee moved from pod-based to NAMESPACE-based pricing — charged per non-system namespace in the most recent successful backup of each plan (system namespaces like kube-system are excluded). Existing committed use discount (CUD) holders keep pod-based management pricing until their commitment ends; everyone else moves to the new model. See https://cloud.google.com/products/backup-for-gke/pricing-changes.
  • Smart Scheduling: RPO-driven backup scheduling as an alternative to fixed cron schedules — pass --target-rpo-minutes={minutes} instead of --cron-schedule when creating the backup plan (optionally with RPO exclusion windows via --exclusion-windows-file).
  • Hyperdisk support: Backup and restore of Hyperdisk ML and Hyperdisk Balanced High Availability volumes is supported on GKE clusters running 1.33.1-gke.1959000 and later (Hyperdisk throughput, extreme, and balanced types are also supported).

Troubleshooting & Common Pitfalls (CRITICAL)

[!IMPORTANT] Slow Operations: Enabling the BackupRestore addon (--update-addons=BackupRestore=ENABLED) triggers a slow Google Cloud control plane cluster update that takes several minutes. * Rule: Do not run a terminal loop waiting for the GKE Backup addon to become active. * Action: Provide the command to enable the addon, explain that the operation will proceed in the background, and immediately proceed to write the backup plan configs. Do not block.

Frequently asked questions

What does the Gke Backup Dr AI skill do?

Configures Backup for GKE: the BackupRestore cluster addon, BackupPlan and RestorePlan resources, restore workflows, and CMEK-encrypted backups. Use for backup policies, disaster recovery, or GKE cluster restores. Don't use for database backups.

Why use Gke Backup Dr on TypingMind?

Because you install it once and use it with any model. Gke Backup Dr is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gke Backup Dr in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/google/skills/tree/main/skills/cloud/gke-backup-dr. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gke Backup Dr?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gke Backup Dr?

As many as you like. As long as a model supports skills, you can use Gke Backup Dr with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gke Backup Dr AI skill free?

Yes. It is published on GitHub by google under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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