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Industrial AI insight about machine learning, reinforcement learning, MLOps, and more...

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What Is Data Science?

Jul 2017, by phil-winder, in Data Science, Workshop

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.

Secure my Socks: Exploring Microservice Security in an Open-Source Sock Shop - AOTB

Jul 2017, in Cloud Native, Talk

Abstract 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 network. Despite covering a range of topics, it will focus on the demonstration of two key areas: network policy and secure containers. Objective: You will learn how to secure containers and improve network security through the use of a software defined network.

What is Cloud-Native?

Jun 2017, by phil-winder, in Cloud Native

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

Jun 2017, in Cloud Native, Data Science, Talk

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.

Secure my Socks: Exploring Microservice Security in an Open-Source Sock Shop - CL

May 2017, in Cloud Native, Talk

Abstract 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 network. Despite covering a range of topics, it will focus on the demonstration of two key areas: network policy and secure containers. Objective: You will learn how to secure containers and improve network security through the use of a software defined network.

Developers _are_ Researchers - Improve the work you love with Research Driven Development

May 2017, in Software Engineering, Talk

Abstract Have you ever wondered which parts of your job you love or hate? Chances are that like most developers you love learning and new problems to solve. You hate monotony and bureaucracy. You’ve probably put strategies in place to mitigate the things you don’t like. An anarchic development process like Agile, to reduce the amount of time in meetings. But have you ever thought about the way in which you approach learning and problem solving?

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

Apr 2017, in Cloud Native, Talk

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:

How to use Javascript Promises to lazily update data

Apr 2017, in Software Engineering

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?

Mar 2017, by phil-winder, in Cloud Native

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

Jan 2017, by phil-winder, in Software Engineering

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.