Pipekit

What is Pipekit?

Pipekit is a self-serve platform designed to simplify the deployment, scaling, and management of data and continuous integration pipelines using Argo Workflows on Kubernetes infrastructure. It provides enterprise-grade features such as multi-cluster management, unified logging, and role-based access control (RBAC), allowing platform teams to reduce maintenance overhead while improving developer experience. Pipekit integrates seamlessly with existing cloud providers and supports flexible deployment models, giving teams control over compute resources and data privacy. The platform also offers professional support from Argo contributors to optimize pipeline performance and accelerate technical decisions.

Key Features

• Managed Argo Workflows

  Provides a control plane that configures and manages Argo Workflows, enabling rapid setup and scaling of complex data and CI pipelines.

• Multi-Cluster Workflow Management

  Allows running and monitoring workflows across multiple Kubernetes clusters from a single unified interface.

• Enterprise-Grade Security

  Includes robust role-based access control (RBAC) and customizable namespace management to secure pipeline operations.

• Unified Logging and Monitoring

  Offers integrated logging views and optional self-hosted log storage to enhance observability and troubleshooting.

• Cloud Provider Agnostic

  Supports major cloud platforms such as AWS, Google Cloud, and Microsoft Azure, enabling flexible infrastructure choices.

• Expert Support and Collaboration

  Access to Argo Workflow maintainers and Kubernetes experts through dedicated support channels and regular consultation.

Use Cases

• Data Pipeline Scalability : Scale complex data processing workflows efficiently, reducing cloud costs and operational overhead.
• Continuous Integration/Continuous Deployment (CI/CD) : Manage and automate CI/CD pipelines across multiple clusters with enhanced reliability and speed.
• Infrastructure Automation : Automate infrastructure tasks and workflows to improve operational efficiency and consistency.
• Developer Self-Service : Empower development teams with self-serve access to workflow management, improving agility and reducing platform team load.
• Enterprise Data Governance : Enforce security policies and access controls across pipelines to meet enterprise compliance requirements.

FAQs