Pipekit
Pipekit is a managed Argo Workflows platform that simplifies data infrastructure for data science, AI, and ML teams. We enable teams to go from notebooks to models serving billions of users, accelerating their journey from data to value.
Product Highlights
- Production-ready workflows: Pipekit provides pre-configured Argo Workflows, allowing teams to start running production-grade pipelines immediately.
- Scalability and cost efficiency: Our platform enables autoscaling and resource optimization, ensuring your workflows adapt to the demands of your processing tasks and minimize cloud costs.
- Developer-friendly: Pipekit integrates with popular data tools like Apache Spark, Dask, dbt, GitHub, and Fivetran, simplifying data pipeline development and management.
Use Cases
- Data processing and transformation: Create and manage large-scale data pipelines for cleaning, transforming, and enriching data.
- Machine learning model training and deployment: Build robust ML pipelines for training, evaluating, and deploying models to production.
- CI/CD pipelines: Automate continuous integration and delivery of data-driven applications and workflows.
Target Audience
Pipekit is ideal for data scientists, machine learning engineers, data engineers, and DevOps teams who are looking to simplify and scale their data infrastructure.
