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Machine Learning

Analyzing ML/RL Model Performance with Azure Synapse Analytics Spark Pools

Analyzing ML/RL Model Performance with Azure Synapse Analytics Spark Pools

I have been following Azure Synapse Analytics since it was still in development and the mock-ups were not finished yet. The vision that Azure Synapse Analytics brings is simply amazing, bringing an End-to-End analytics platform that seamlessly mixes SQL Dedicated, SQL On-Demand, and Spark to prepare, analyze and publish your

Machine Learning Operations - MLOps explained

Machine Learning Operations - MLOps explained

MLOps is the continuation of DevOps, extended for Machine Learning. It allows data scientists, data engineers, application developers, and the operations team to collaborate, reducing the time from model creation towards first production deployment. "Putting Machine Learning models in production is easy when you have just a few, however

Implementing Deepmind's MuZero Algorithm with Python

Implementing Deepmind's MuZero Algorithm with Python

Deepmind has achieved a huge milestone by publishing its latest paper around Reinforcement Learning in Nature - 23/DEC/2020. How they were able to train a Reinforcement Learning algorithm that masters Go, Chess, Shogi and Atari without needing to be told the rules. Introduction I have always been interested

Auto scaling a HTTP triggered application in Kubernetes using Keda

Auto scaling a HTTP triggered application in Kubernetes using Keda

Kubernetes is getting more popular everyday and it's no wonder why! When you are running applications on-premise or in-cloud, the possibility of having the applications in a portable way is a strong one! Removing the friction for scaling-out your application when you are ready for it, or even

Creating a simple "Hello World" docker application with Express and NodeJS

Creating a simple "Hello World" docker application with Express and NodeJS

For a lot of infrastructure related blog posts I would like to utilize a very basic application that spins up a web server and allows us to access it. Once we access it we simple see a welcome message but with a delay that we can configure! Note: Why a

Monitoring the Kubernetes Nginx Ingress Controller with Prometheus and Grafana

Monitoring the Kubernetes Nginx Ingress Controller with Prometheus and Grafana

In a previous article I explained how we can set-up an Nginx Kubernetes Ingress Controller, but how can we now monitor this? This is what I would like to tackle in this article, on how we are able to utilize Prometheus and Grafana to start visualizing what is happening on

Creating a Kubernetes Nginx Ingress Controller and create a rule to a sample application

Creating a Kubernetes Nginx Ingress Controller and create a rule to a sample application

Whenever you are creating an application that you want to expose to the outside world, it's always smart to control the flow towards the application behind it. That's why Kubernetes has something called Kubernetes Ingress. But what is it? Kubernetes Ingress Kubernetes Ingress allows you to