AI, Machine Learning, Reinforcement Learning, and MLOps Articles

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

Published

Oct 3, 2017

Author

Slides 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.

What Is Data Science?

Published

Jul 15, 2017

Author

Dr. Phil Winder

CEO

Data Science is an emerging field that is plagued by lurid, often inconsequential reports of success. The press has been all too happy to predict the future demise of the human race.

But sifting through chaff, we do see some genuinely interesting reports of work that affects both bottom-line profit and top-line revenue.

What is Cloud-Native?

Published

Jun 21, 2017

Author

Dr. Phil Winder

CEO

Cloud-Native, a collection of tools and best practices, disrupts the ideas behind traditional software development. I am a firm believer of the core concepts, which include visibility, repeatability, resiliency and robustness.

The idea begins in 2015 when the Linux Foundation formed the Cloud-Native Computing Foundation. The idea was to collect the tools and processes that are often employed to develop cloud-based software.

However, the result was a collection of best practices which extend well beyond the realms of the cloud. This post introduces the essential components: DevOps, continuous delivery, microservices and containers.

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

Published

Jun 12, 2017

Author

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.

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

Published

Apr 29, 2017

Author

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.

How to use Javascript Promises to lazily update data

Published

Apr 7, 2017

Author

Last week I was working on a simple implementation updating a shopping cart for a site, the frontend was written in html/javascript. The brief - when the quantity of an item in the cart was modified the client could press an update cart button which would update the cart database, after which it was necessary to recalculate the total values of the order and refresh the page with the new totals.

What is the Cloud?

Published

Mar 23, 2017

Author

Dr. Phil Winder

CEO

The terms “Cloud” or “Cloud Services” have become so laden with buzz that they would be happy to compete with Apollo 11 or Toy Story. But the hype often hides the most important aspects that you need to know. Like how it works, or what you can do with it. This is the first of several introductory pieces that focus on the very basics of modern applications.

Surprise at CPU Hogging in Golang

Published

Jan 3, 2017

Author

Dr. Phil Winder

CEO

In one of my applications, for various reasons, we now have a batch like process and a HTTP based REST application running inside the same binary. Today I came up against an issue where HTTP latencies were around 10 seconds when the batch process was running.

After some debugging, the reason for this is that although the two are running in separate Go routines, the batch process is not allowing the scheduler to schedule the HTTP request until the batch process has finished.

Exploring Microservice Security in an Open-Source Sock Shop

Published

Nov 15, 2016

Author

Slides Abstract Microservices are often lamented as “providing enough rope to hang yourself”, which gives the impression that microservices are inherently insecure. But if we do microservices right, we can improve security with a range of measures all designed to prevent further intrusion and disruption. In this talk, you will discover a reference microservices architecture - the sock shop - which we will abuse in order to investigate microservice security on the Kubernetes orchestrator and Weave Net, a software-defined networking product from Weaveworks.

Gocoverage - Simplifying Go Code Coverage

Published

Oct 11, 2016

Author

Dr. Phil Winder

CEO

Go introduced vendoring into version 1.5 of the language. The vendor folder is used as a dependency cache for a project. Because of the unique way Go handles dependencies, the cache is full code from an entire repository; worts and all. Go will search the vendor folder for its dependencies before it searches the global GOPATH. Tools have emerged to corral the vendor folder and one of my favourites is glide.