Practical technology training
Course outline for Spinnaker CD
Connect the concepts, work through practical problems, and choose a training plan that fits your goals.
About Spinnaker CD
Spinnaker models application deployment as pipelines that connect artifacts, environments, checks, and promotion decisions. Use a prepared training installation to release a sample service and compare deployment strategies without treating a successful pipeline as proof of application correctness.
Spinnaker CD Course Objectives
- Explain applications, clusters, server groups, and pipeline stages.
- Connect a versioned artifact to an approved deployment.
- Configure triggers, parameters, and verification stages.
- Compare blue/green and canary-style delivery responsibilities.
- Diagnose failure and document recovery, permissions, and cleanup.
Pre-requisites
- Familiarity with application builds, Git, and CI/CD workflows.
- Working knowledge of Kubernetes or the agreed cloud deployment target.
- Basic container-image and monitoring concepts.
Lab Setup
- Prepared Spinnaker training installation with a configured Kubernetes provider and scoped namespace.
- Sample application images, artifact fixtures, and synthetic monitoring data.
- Platform installation and provider access are verified in advance; no paid cloud resources or production targets are required.
Detailed Course Outline
Continuous Delivery with Spinnaker
- CI versus deployment orchestration
- Application and provider responsibilities
- Deployment artifacts and environments
- When a simpler delivery pipeline is sufficient
Applications and Infrastructure Model
- Applications, clusters, and server groups
- Load balancers and traffic responsibilities
- Mapping Kubernetes resources to Spinnaker concepts
- Account and environment boundaries
Pipeline Fundamentals
- Stages, tasks, and execution graphs
- Parameters, expressions, and outputs
- Manual and event-based triggers
- Notifications and execution history
Artifact Integration
- Versioned image and manifest references
- CI build outputs and expected artifacts
- Parameterized deployment manifests
- Promoting the tested artifact rather than rebuilding
Deployment Strategies
- Blue/green traffic changes
- Rolling updates and health checks
- Canary analysis inputs and judgment limits
- Choosing strategy from service and recovery needs
Approval and Access
- Manual judgment and environment gates
- Authentication and pipeline permissions
- Service accounts and scoped provider access
- Binding approval to deployment parameters
Verification and Recovery
- Deployment and service-health evidence
- Timeouts, failed stages, and retries
- Restoring a recorded application version
- Data migrations and effects that rollback cannot undo
Operations and Maintenance
- Component roles and supported installation methods
- Pipeline templates and version control
- Provider/plugin compatibility and upgrades
- Monitoring, retention, and audit records
Practical Exercise
- Build a pipeline that deploys a supplied image to a training namespace
- Add verification and a manual promotion gate
- Inject a failed check and restore the previous working version
- Record artifact identity, access scope, and cleanup evidence
How we train
Online training for Spinnaker CD
- Instructor-led live cohorts
- Self-paced learning with expert coaches
- 24x7 cloud labs with end-to-end examples
All sessions are 100% hands-on. Labs and activities are derived from real-world work our engineers deliver.
Classroom training
Available for corporate teams in:
- Bengaluru
- Chennai
- Hyderabad
- Mumbai
- Delhi/Gurgaon/NCR
- Pune
Note: Classroom training is for corporate clients only.
Self-paced hands-on sessions are delivered via VirtualCoach.