
Kubeflow Part 6: Model and Data Observability
We are running a #Kubeflow series where we are sharing our experiences and thoughts on building a Kubeflow-based ML pipeline architecture for production use.
Run Scientific Workflows through a self service platform without infrastructure complexities
Take your Scientific Pipelines from idea to production through a self service platform for building and running pipelines.
An end-to-end platform for building & executing pipelines, access & visualize results and collaborate with others.
Intuitive, web-based, no-code analysis platform to run, visualize, and analyze scientific workflows with 1-click. No IT skills required.
Self-service platform to rapidly build reproducible, workflow-agnostic pipelines with on-demand workspaces, compute, and datasets. ZERO DevOps intervention.
Deploy Quark and Run 100s of pre-built pipelines
Bring existing pipelines (Nextflow, Snakemake, Custom)
Build New Pipelines through Visual Builder
Quark has allowed our scientists to discover pipelines and run them in a self-service manner with no IT intervention. This has shortened the time for results. Truly game changing for research.
Director of Computational Engineering
Leading Fortune 500 BioTech
Quark’s intuitive and simple interface to run pipelines allows me to get my research done faster. I am able to run 1000s of pipelines every week without having to dabble any scripts or reaching out to IT.
Director of BioInformatics
Fortune 500 BioTech
Run scientific pipelines in your choice of Compute and Cloud.
Empower scientists / researchers to run and analyze pipelines from an intuitive interface.
Seamlessly collaborate with other practitioners by sharing / re-using pipelines and data across the organization
Built for regulated industries with Enterprise grade full-stack security and compliance
withoutQuark |
withQuark | ||
---|---|---|---|
Scientist Experience | Work through DevOps Tickets & Manual Processes | Self Service Platform | 80% Improved Productivity |
Access to Infrastructure | Weeks. Delayed, Limited by DevOps Bandwidth | Immediate & Self Service | |
New Scientific Pipelines | Many Weeks | Days | 10X Faster Research |
Running Scientific Pipelines | Custom Scripts | Self Service GUI, APIs and CLI | |
Finding prior research | Word of mouth. Internal Knowledge Base | Centralized Catalog of ready to run pipelines | Democratize Science |
Scientific Software & Workflows | Manually managed | Pre-built Packages & Workflows | |
Visualizing Results | Install custom tools. Work with IT | Integrated popular Visualization Tools | Immediate Feedback & Collaboration |
Accelerate science without the infrastructure complexities. Build and operate any pipeline, at any scale, on any cloud
We are running a #Kubeflow series where we are sharing our experiences and thoughts on building a Kubeflow-based ML pipeline architecture for production use.
We are running a #Kubeflow series where we are sharing our experiences and thoughts on building a Kubeflow-based ML pipeline architecture for production use.
We are running a #Kubeflow series where we are sharing our experiences and thoughts on building a Kubeflow-based ML pipeline architecture for production use.
We are running a #Kubeflow series where we are sharing our experiences and thoughts on building a Kubeflow-based ML pipeline architecture for production use.
We are running a #Kubeflow series where we are sharing our experiences and thoughts on building a Kubeflow-based ML pipeline architecture for production use.
We are running a #Kubeflow series where we are sharing our experiences and thoughts on building a Kubeflow-based ML pipeline architecture for production use.