What are the best practices for structuring GitHub Actions workflow files to achieve zero-downtime rolling deployments across a multi-region Kubernetes cluster running on Google Cloud Platform?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the best practices for structuring GitHub Actions workflow files to achieve zero-downtime rolling deployments across a multi-region Kubernetes cluster running on Google Cloud Platform?
3 real searches · 1 real-search pass
site:cloud.google.com/kubernetes-engine/docs deployment rolling updates readiness probes pod disruption budgets multi-cluster ingress GKEGoogle ↗
OBSERVED
site:docs.github.com/actions deployment environments concurrency reusable workflows OIDC Google Cloud Workload Identity FederationGoogle ↗
OBSERVED
cloud.google.com/deploy/docs multi-target delivery pipeline canary deployment GKE regional targets rollbackGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
site:cloud.google.com/kubernetes-engine/docs deployment rolling updates readiness probes pod disruption budgets multi-cluster ingress GKE Google ↗
site:docs.github.com/actions deployment environments concurrency reusable workflows OIDC Google Cloud Workload Identity Federation Google ↗
cloud.google.com/deploy/docs multi-target delivery pipeline canary deployment GKE regional targets rollback Google ↗
- Use a canary deployment strategy | Cloud Deploy | Google Cloud Documentation · docs.cloud.google.com
- Create your delivery pipeline and targets | Cloud Deploy | Google Cloud Documentation · docs.cloud.google.com
- Quickstart: Automate pipeline tasks | Cloud Deploy | Google Cloud Documentation · docs.cloud.google.com
- Ensure workloads are disruption-ready | Google Kubernetes Engine (GKE) | Google Cloud Documentation · docs.cloud.google.com
- Manage cluster lifecycle changes to minimize disruption | Google Kubernetes Engine (GKE) | Google Cloud Documentation · docs.cloud.google.com
- Design and configure GKE clusters for cost optimization | Google Kubernetes Engine (GKE) | Google Cloud Documentation · docs.cloud.google.com
- Deployment environments · docs.github.com
- Continuous deployment · docs.github.com
- Deploying with GitHub Actions · docs.github.com
- Security hardening your deployments · docs.github.com
- Deployments and environments · docs.github.com
- About multi-cluster GKE upgrades using Multi Cluster Ingress | GKE networking | Google Cloud Documentation · docs.cloud.google.com
- Deploy to multiple targets at the same time | Google Cloud Documentation · docs.cloud.google.com
- GitHub Actions deployment controls · docs.github.com
- Google Cloud Deploy canary deployments · cloud.google.com
- GKE workload disruption readiness · cloud.google.com
- GKE multi-cluster upgrade strategies · cloud.google.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
site:cloud.google.com/kubernetes-engine/docs deployment rolling updates readiness probes pod disruption budgets multi-cluster ingress GKE OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
site:docs.github.com/actions deployment environments concurrency reusable workflows OIDC Google Cloud Workload Identity Federation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
cloud.google.com/deploy/docs multi-target delivery pipeline canary deployment GKE regional targets rollback OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |