Workflows
Workflow Configuration enables users to define and automate how OpsMx capabilities—such as scanning, risk assessment, remediation, validation, and notification—are executed across their environments.
It is an enterprise workflow orchestration and automation module from OpsMx that helps teams build, manage, and automate both application delivery pipelines and AI/ML workflows using Kubernetes-native technologies like Kubeflow and Argo Workflows. It provides a unified platform to manage software delivery and machine learning lifecycle workflows securely and at scale.
The platform enables organizations to:
Build and orchestrate CI/CD pipelines for applications
Automate ML model training, testing, validation, and deployment
Manage AI and application workflows from a centralized control plane
Enforce governance, compliance, and policy checks
Gain observability and delivery intelligence across workflows
Support hybrid, multi-cloud, and Kubernetes-native deployments
OpsMx combines open-source technologies such as Kubeflow, Argo Workflows, Argo CD, and Spinnaker with enterprise-grade governance, security, visibility, and operational support.
Why we use it in OpsMx
OpsMx uses Apps and AI Workflows to simplify and standardize software delivery and AI operations across enterprise environments. The goal is to reduce manual effort, improve deployment reliability, and provide secure, scalable automation for both DevOps and MLOps teams.
Key reasons for using Apps and AI Workflows
Unified workflow management
Instead of managing separate systems for application delivery and ML workflows, OpsMx provides a unified orchestration platform. This improves governance, visibility, and operational consistency across teams.
Faster software and ML delivery
The platform automates repetitive tasks such as building, testing, deployment, approvals, and validation. This accelerates release cycles and ML model deployments while reducing manual intervention.
Kubernetes-native scalability
Using Argo Workflows and Kubeflow allows workflows to run natively on Kubernetes, making deployments scalable, portable, and cloud-agnostic. This supports enterprise environments running across hybrid and multi-cloud infrastructure.
Security and compliance enforcement
OpsMx integrates policy enforcement and governance checks directly into delivery pipelines. This helps organizations enforce RBAC, compliance gates, vulnerability scanning, and audit logging before deployments reach production.
Improved observability and diagnostics
OpsMx provides visibility into workflow execution, deployment status, logs, metrics, approvals, and delivery risks. Teams can trace issues quickly and make informed release decisions using delivery intelligence and observability features.
Reduced operational overhead
Pre-built templates, reusable pipelines, automation, and enterprise support reduce the complexity of setting up and maintaining CI/CD and ML pipelines.
How we use it in OpsMx
OpsMx uses Apps and AI Workflows as part of its intelligent software delivery and AI operations ecosystem to automate end-to-end workflows securely and efficiently.
Application delivery workflows
OpsMx uses Argo-based and Spinnaker-based workflows to automate:
Application build and packaging
CI/CD pipeline orchestration
Kubernetes deployments
Canary and blue-green deployments
Automated rollback strategies
Multi-cloud delivery workflows
Policy validation and approval gates
This enables teams to deploy applications faster with lower operational risk.
AI and ML workflows
Using Kubeflow and Argo Workflows, OpsMx supports ML lifecycle orchestration including:
Data preparation pipelines
ML model training workflows
Model testing and validation
Automated deployment of ML models
Workflow monitoring and observability
Governance and audit for AI model deployments
This helps MLOps teams manage AI workloads consistently across environments.
Policy and governance enforcement
OpsMx integrates Delivery Shield and policy-based controls into workflows to ensure:
Security scanning before deployment
Compliance validation
RBAC-based approvals
Audit trail generation
Governance enforcement across pipelines
This helps organizations maintain compliance standards such as SOX, HIPAA, and GDPR while automating delivery operations.
Visibility and delivery intelligence
OpsMx correlates logs, metrics, deployment events, and workflow performance data to provide:
Centralized monitoring
Workflow execution visibility
Release intelligence
Deployment diagnostics
Traceability across application and ML pipelines
This improves troubleshooting and operational decision-making.
Core technologies used
OpsMx Apps and AI Workflows is primarily built using the following technologies:
Argo Workflows
Kubernetes-native workflow orchestration
Kubeflow
ML pipeline orchestration and MLOps
Argo CD
GitOps-based application delivery
Spinnaker
Enterprise continuous delivery
Kubernetes
Container orchestration and scalability
OpsMx Delivery Shield
Policy enforcement and governance
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