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MLflow is an open-source platform that helps manage the machine learning model lifecycle. It helps track experiments, record and compare model parameters and results, manage and deploy models from a registry, and package machine learning code in reusable, reproducible projects for sharing with other teams.
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While managing machine learning projects with MLflow is quick and easy, deploying and setting up the application itself is complex and requires specific (cloud) infrastructure, networking, and Kubernetes knowledge.
Plural helps you deploy and manage the lifecycle of open-source applications on Kubernetes. Our platform combines the scalability and observability benefits you get with managed SaaS offerings with the data security, governance, and compliance benefits of self-hosting MLflow.
If you need more than just MLflow, look for other open-source data engineering, ML/AI tools in our marketplace of curated applications to leapfrog complex deployments and get started quickly.
plural bundle install mlflow mlflow-aws
plural build
plural deploy --commit "deploying mlflow"
We make it easy to securely deploy and manage open-source applications in your cloud.
Get any stack you want running in minutes, and never think about upgrades again.
You control everything. No need to share your cloud account, keys, or data.
Built on Kubernetes and using standard infrastructure as code with Terraform and Helm.
Interactive runbooks, dashboards, and Kubernetes api visualizers give an easy-to-use toolset to manage application operations.
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Fnatic is a leading global esports performance brand headquartered in London, focused on leveling up gamers. At the core of Fnatic’s success is its best-in-class data team. The Fnatic data team relies on third-party applications to serve different business functions with every member of the organization utilizing data daily. While having access to an abundance of data is great, it opens up a degree of complexity when it comes to answering critical business questions and in-game analytics for gaming members.
To answer these questions, the data team began constructing a data stack to solve these use cases. Since the team at Fnatic are big fans of open-source they elected to build their stack with popular open-source technologies.