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Industrial insight and articles from Winder.AI, focusing on the topic Talk

The Meaning of (Artificial) Life: A Prelude to What is Data Science?

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Abstract

The Hitchhiker’s Guide says the meaning of life is 42. Considering that the field of Data Science is going through a period of exponential growth it too could soon find that the meaning of an artificial life is also 42. But if you are not involved on a day-to-day basis, the expansion can seem bewildering. The story of how disparate disciplines have combined to produce Data Science is fascinating.

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Cloud-Native Data Science: Turning Data-Oriented Business Problems Into Scalable Solutions

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Abstract

The proliferation of Data Science is largely due to: ubiquitous data, increasing computational power and industry acceptance that solutions are an asset.

Data Science applications are no longer a simple dataset on a single laptop. In a recent project, we help develop a novel cloud-native machine learning service. It is unique in that problems are packaged as containers and submitted to the cloud for processing. This enables users to distribute and scale their models easily.

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Monitor My Socks: Using Prometheus in a Polyglot Open Source Microservices Reference Architecture

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Abstract

This presentation describes how Prometheus was integrated into a polyglot microservices application. We will use the “Sock Shop”, a cloud-native reference microservices architecture to demonstrate some of the best practices and pitfalls of attempting to unify monitoring in real life. Attendees will be able to use this application as a reference point, or as a real life starting point for their own applications.

Specifically, we will cover:

  • Integrating Prometheus in Java/Go/Node.js/Haskell
  • Best practices: what to monitor and how to structure the monitoring code
  • Pitfalls: what goes wrong and why
  • Demonstrations and descriptions how attendees can try it for themselves

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