Deployment is the process of delivering and activating software in target environments, including automation and rollback mechanisms.
Deployment describes the process of moving software artifacts from development into production environments and keeping them running. It includes release strategies, automation, orchestration and rollback mechanisms. The goal is reliable, repeatable delivery with controlled risks and clear responsibilities. It applies to cloud, on-premises and hybrid architectures and spans technical and organizational concerns.
Number of successful deployments per time unit; a throughput measure of delivery.
Average time to recover from a failed deployment.
Proportion of deployments that lead to incidents or rollbacks.
Use of the Kubernetes Deployment API for managed scaling and rollouts of containerized applications.
Declarative deployments via a Git repository as single source of truth with automated synchronization.
Staged traffic switch to new versions to minimize outage risk during peak load.
Analyze existing processes and identify repeatable steps
Introduce automated build and test pipelines
Define release strategies (canary, blue/green, rolling)
Set up observability and rollback mechanisms