DataDevOps or often just DataOps, is the combination of DevOps and Data Science. The goal is to empower Data Scientists to build reliable software. The downside, you need to be an expert at everything! Read more.
Dr. Phil Winder
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8 min
Instructions how to deploy a local version of Jenkins running on minikube. These instructions are for OSX, but it shouldn't be too hard to port to an another OS.
Dr. Phil Winder
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4 min
A little bit of research turned into a rant asking why is it so difficult to use two of the most popular Data Science libraries together? And a little bit about Scikit Pandas.
Dr. Phil Winder
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5 min
If you are running Kubernetes in a production environment, running Helm can be quite dangerous. Read this post to find out why.
Dr. Phil Winder
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3 min
Winder.AI developed novel attack detection algorithms for leading web application firewall company, Bitsensor. Using a combination of Data Science, Machine Learning and Cloud-Native technologies, we helped Bitsensor deliver the product their customers needed.
Dr. Phil Winder
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3 min
Winder.AI helped leading Cloud-Native company Weaveworks architect and develop core components of their PaaS. Find out how.
Dr. Phil Winder
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3 min
A very large enterprise in the oil and gas industry asked Winder.AI to help them migrate mission critical workflows to the cloud and create competitive differentiators through the application of Data Science (a.k.a. Machine Learning, A.I.).
Dr. Phil Winder
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4 min
This presents a comparison between all Serverless frameworks that operate on Kubernetes.
Dr. Phil Winder
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10 minTesting infrastructure is difficult. But new tooling has filled this important gap. This blog post from Winder.AI introduces a current project that has found tools and patterns to deal with this problem.
Dr. Phil Winder
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5 min
Cloud Native Data Science best practices that you need to know. Find out more.
Dr. Phil Winder
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5 minCase studies and industry analysis from our team. No hype, roughly monthly.