Workflow Engine for Kubernetes
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Updated
Aug 12, 2025 - Go
Workflow Engine for Kubernetes
Provides deep monitoring and self-healing of Kubernetes clusters
Experimenting to implement Kubernetes Response Engine based on Event-Driven Workflow using Argo Events and Argo Workflows
Argo Workflows Executor Plugin for AWS Services, e.g. SageMaker Pipelines, Glue, etc.
Pipelines Feedback Framework for Kubernetes-Native CI/CD systems
Generate reference documentation for argo workflow templates
Operator for Argo workflow Engine
Catalog processing using workflow orchestration for workflow execution in a Kubernetes pods using Argo Workflow.
KubeOpsAI is a backend-first, cloud-native orchestration platform that automates data ingestion, transformation, and deployment workflows inside Kubernetes. It blends Go-based microservices with Argo Workflows, Temporal, Apache Iceberg, and LLM-based intelligence.
Ingest data from all major cloud platforms via events, API, or polling interfaces. Then filter, transform, and process generating workflows or trigger action on other clouds and frameworks.
Simple Kubernetes Controller to trigger Argo Workflows using GitHub/GitLab/BitBucket webhooks
All programming labs for ambersun1234.github.io
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