Architecture ideas, made clear.

Connect source control and CI to container image publishing, then reconcile Kubernetes manifests through GitOps.

Plan ingress, subnet boundaries, cluster access and private data-layer connectivity.

Use metrics, dashboards, health checks and rollout/rollback procedures.

Use workload identity federation rather than long-lived cloud credentials in CI.

Build and scan images, publish to Artifact Registry, and deploy through Helm or kubectl.

Choose cluster mode, node strategy, scaling and database availability to match the workload.

Federate GitHub Actions identity to Microsoft Entra ID and avoid storing long-lived deployment secrets.

Build and publish a container image, then update the Container App revision.

Use health probes, scaling rules, logs and alerts.

Validate the exact ingress and virtual-network integration capabilities for the selected Azure Container Apps environment.

Keep database access private where supported and apply managed database backup and availability options.

Use managed identity and Key Vault for application secrets where appropriate.

Define Glue jobs, execution roles, schedules and supporting resources as infrastructure as code.

Retrieve database credentials at runtime from Secrets Manager with least-privilege access.

Monitor job status, duration, failures and output quality.

Provision networking, load balancing, service/task configuration and supporting services using Terraform.

Validate and plan infrastructure changes before applying with short-lived federated credentials.

Configure health checks, scaling, backups and observability according to service requirements.

Run tests and code-quality checks before building a release artifact.

Scan dependencies and images and detect accidentally committed secrets; define clear failure thresholds.

Publish versioned images and deploy through a least-privilege OIDC role.

Separate edge/CDN responsibilities from application ingress and backend services.

Use health checks, multi-AZ placement and tested backup/recovery procedures.

Centralize metrics, logs, alerting and incident-response integrations.

Format, validate, review a plan and apply reviewed changes through CI/CD.

Use a protected, versioned remote state location and separate environments appropriately.

Use least-privilege deployment roles and avoid long-lived AWS keys in pipeline variables.