Automated End-to-End — This post is to show how to automate creating a machine learning model and deploying it in AWS SageMaker by using terraform. The use case is to create a Machine Learning (ML) model by executing Jupyter script automatically when a notebook is created by Terraform. The assumption is that Jupyter…

The article assumes you familiarized with Kubernets. As a part of Kubernetes, Kubelets run on each worker nodes to register the nodes with the apiserver, create pods on the nodes, share matrics with apiserver and perform few other tasks. We can, however, run kubelets as a single component in bare-metal…

A hard-way — Drafted these Kubernetes manifests in a hard-way to create an ELK stack with Elasticsearch, Logstash and Kibana services for a demonstration purpose. Please note that no shipper has not been included in these manifests to ship logs to Logstash. …

Hashicorp provides a way to achieve ‘loop’ in Terraform scripts via ‘count’. If we need to create multiple IAM users, for example in AWS, the below would probably be the simplest terraform script. resource "aws_iam_user" "iam_sample_users" { count = "${length(var.user_list)}" name = "${var.user_list[count.index]}_ops_dept" } The output for a sample list…

Background Troubleshooting is an integral part of Site Reliability Engineering (SRE). Troubleshooting an issue in a production system during a major incident is an apprehensive and stressful task to any team. Major incidents usually are expected be resolved on spot and there would be lofty visibility on teams who involve with…