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Christo Todorov's Projects

aks-quickstart icon aks-quickstart

This quick start is aimed to take the provisioning of AKS beyond a simple "az aks create" command and to include the minimum that most of my customers have required for a production workload. I am also working on a different deployment model for AKS to sit in a hub and spoke architecure and will update with a link to the repository when it is complete. This example already includes a range of useful features which should help most people move forward with producing a production like environment.

arm-workshop icon arm-workshop

Templated student repository for the https://aka.ms/citadel/arm workshop

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

az140 icon az140

Exam AZ-140: Configuring and Operating Microsoft Azure Virtual Desktop Crash Course

building-a-full-automated-fast-data-platform icon building-a-full-automated-fast-data-platform

Many people promise fast data as the next step after big data. The idea of creating a complete end-to-end data pipeline that combined Spark, Akka, Cassandra, Kafka, and Apache Mesos came up two years ago, sometimes called the SMACK stack. The SMACK stack is an ideal environment for handling all sorts of data-processing needs which can be nightly batch-processing tasks, real-time ingestion of sensor data or business intelligence questions. The SMACK stack includes a lot of components which has to be deployed somewhere. Lets see how we can create a distributed environment in the cloud with Terraform and how we can provision the Mesos-Cluster with Mesosphere Datacenter Operating System (DC/OS) and create a powerful fast data platform.

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