Kubernetes excels at running containerized workloads—but production workflows rarely live entirely inside the cluster. Application builds, container jobs, data pipelines, batch processing, cloud services, and legacy systems are often managed by disconnected tools, manual triggers, or cron jobs, resulting in brittle coordination and limited end to end visibility.
In this 90 minute hands on workshop, attendees will work directly with Control‑M and Kubernetes to build and execute a realistic, production grade orchestration pattern based on common customer use cases. Rather than replacing Kubernetes’ native scheduling, Control‑M acts as the enterprise level orchestrator, coordinating container execution alongside external systems using event driven dependencies, centralized monitoring, and operational controls that extend beyond the cluster boundary.
What You’ll Do
In this session, you’ll:
- Experience end to end container orchestration in action
See how Kubernetes jobs and containerized workloads participate in a broader workflow that includes upstream triggers, downstream dependencies, and cross platform coordination—without relying on manual intervention or timing based execution. - Learn how to operationalize Kubernetes workloads
Apply dependency management, conditional logic, retries, error handling, and SLA tracking so container jobs run reliably in production, not just in development or CI pipelines. - Understand how Control‑M complements Kubernetes
Discover how Control‑M extends Kubernetes scheduling with enterprise orchestration capabilities—providing centralized visibility, governance, and control across clusters, clouds, and non containerized systems. - Work with reusable orchestration patterns
Interact with job flows and patterns that can be reused for microservices batch processing, data processing jobs, AI/ML pipelines, maintenance tasks, or hybrid workflows spanning containers and traditional platforms. - Gain visibility across the full workflow lifecycle
Monitor execution, inspect logs, manage failures, and understand how Control‑M coordinates and responds when container jobs succeed, fail, or are delayed—across the entire workflow, not just within Kubernetes.
Why Attend?
This workshop is designed for anyone who has asked:
- “Why are my Kubernetes jobs still hard to manage in production?”
Because container scheduling isn’t the same as workflow orchestration. This session shows how to manage dependencies, failures, and handoffs across the full pipeline. - “How do I move beyond cron jobs and ad hoc scripts?”
Learn how event driven orchestration replaces time based scheduling with dependency aware automation that scales with application complexity. - “How do I coordinate containers with the rest of my ecosystem?”
See how Control‑M orchestrates Kubernetes alongside cloud services, data platforms, and legacy systems from a single control plane. - “How do I add governance and SLAs to Kubernetes workflows?”
Discover how enterprise orchestration adds auditability, reliability, and operational guardrails as container adoption grows. - “I already use Control‑M—how does this apply to containers?”
This session shows how existing Control‑M users can extend proven orchestration patterns to Kubernetes and cloud native architectures.