Here are some projects which the viewers might find useful.
This project contains the complete source code of the demo used during the
Programmer Developers (PD) Tech Fest conference in Manila, Philippines. The
demo uses Kubernetes-based Event Driven Autoscaling (KEDA) to autoscale
containers based on messages in the RabbitMQ queue.
This project contains the complete source code of the demo used during 6
part hands on series named AKS learning series.The series was done as part
of Azure meetup with hands on session of build a multi-container app and
deploy it to an Azure Kubernetes Service (AKS) cluster.
Powershell scripts are used to provision the AKS cluster and also to deploy
the application. SQL Server 2017 Linux container is used to manage the
database workload. For monitoring and alerting, Prometheus is used to
measure the cluster health and Grafana provides the dashboards.
CI CD was implemented using Azure DevOps and Helm charts.
This project contains the complete source code of the demo used during my
talk at the Voxxed Days Singapore 2018 conference. The project demonstrates
how we can build highly scalable application using Docker. Azure Kubernetes
service is used to provision a Kubernetes cluster in Azure. The project
demonstrates use of various technologies related to Docker containers like
Docker multi-stage builds, docker compose, Minikube to test the
multi-container app using a single node Kubernetes cluster.
Powershell scripts are used to provision the AKS cluster and also to deploy
the application. SQL Server 2017 Linux container is used to manage the
database workload. For scaling the services, RabbitMQ is used as messaging
layer. Elastic Search and Kibana provide key metrics for measuring business
capabilities. For monitoring and alerting, Prometheus is used to measure the
cluster health and Grafana provides the dashboards.
Finally for a production like scenario, a managed SQL Server instance
replaces the containerised workload.
This project is similar in terms of features to the Voxxed Days repository.
There is one major difference between the two codebases with regards to the
monitoring solution. The Azure Bootcamp version uses Microsoft Operations
Management Suite (OMS) to monitor the container workloads in the AKS
cluster.
This project was inspired by Jeff Geerling for automating the setting up of
Mac Book Pro. It uses Ansible playbook to install most of the tools needed
for setting up a brand new Mac. I have been using it quite regularly to
update the software as well. While modifying the playbook to suite my needs,
I also contributed to am open source project. I added some features to the
Ansible role for managing
Visual Studio Code extensions.
Inspired by the ease of setting up Mac using Ansible playbook, I was
interested in replicating the same approach to setup a new Windows laptop.
As of now Ansible does not run on Windows. I had to find an alternative.
Luckily there are options available in the form of Boxstarter which allows
us to list the software to be installed on the laptop. Behind the scenes it
uses Chcocolatey to get the right version of packages. With the two
playbooks in place, I can setup Mac or Windows machines within few minutes.
