ML based Scalable Bioinformatics cronjob for Computational Drug Discovery

Objective : The aim of this post is to create a scheduled job that can run on big data from the Chembl database on a nightly basis and generate useful reports and graphs that can be used by researchers for further detailed analysis and discovery of new drugs. Architecture : This job is based uponContinue reading “ML based Scalable Bioinformatics cronjob for Computational Drug Discovery”

Blockchain and IPFS based Mobile Health system

Here we shall be implementing a highly secure and high performance mHealth system as described in this research paper Setting up an ipfs based file system The InterPlanetary File System (IPFS) is a protocol and peer-to-peer network for storing and sharing data in a distributed file system. IPFS uses content-addressing to uniquely identify eachContinue reading “Blockchain and IPFS based Mobile Health system”

Detecting the onset of covid-19 early using heartrate measurements collected from wearable devices

Through this blog post I shall be creating a solution architecture for the following Collecting wearable devices data from multiple users. For example heartrate from Fitbit and Apple HealthKit devices. Ingesting this data into an influxdb database running inside a docker container Running a pyspark job on aws EMR cluster to calculate heart rate variability,Continue reading “Detecting the onset of covid-19 early using heartrate measurements collected from wearable devices”

LocalStack : The zero cost aws cloud subscription

Development using aws cloud services requires a subscription. Development and testing can sometimes be a costly affair for some organizations incurring expenses to the tune of around 1000 USD. LocalStack is a more cheaper way of developing and testing code locally before it is deployed to aws cloud. Architecture Objective The objective of this postContinue reading “LocalStack : The zero cost aws cloud subscription”

Serverless Sonarqube using AWS ECS Fargate

Sonarqube is a popular tool used to derive code quality metrics like Code Coverage, Code Duplication, Code Cyclomatic complexity and Method Cohesion. The most typical way of using Sonarqube is to install it on an on premise server or an EC2 instance in cloud and ensure to keep it running. The alternative to installing SonarqubeContinue reading “Serverless Sonarqube using AWS ECS Fargate”

End-to-End devops pipeline using aws services

The objective of this blog post is to Demonstrate the construction of an end to end devops pipeline using aws code pipeline service To demo the triggering of a build and deployment without human intervention Why aws code pipeline ? It helps you leverage your existing investment in aws services. It makes the devops pipelineContinue reading “End-to-End devops pipeline using aws services”

Python based framework for FOTA (Firmware Over The Air)

A very common requirement in IoT based systems is to remotely install updated versions of firmware on devices. Presented in this blog is a python based generic framework for performing the update. Salient features : Meager code footprint of less than 4 KB. Secure download from s3 bucket using access key and secret. Secure deviceContinue reading “Python based framework for FOTA (Firmware Over The Air)”

Creating a monitoring dashboard using Prometheus and Grafana

Prometheus is a monitoring platform that collects metrics from monitored targets by scraping metrics HTTP endpoints on these targets. Grafana is a graphical tool that connects to Prometheus and helps build a visualization dashboard. In this blog We shall spinup Prometheus as a docker container on a Ubuntu based server in Azure cloud. Install NodeContinue reading “Creating a monitoring dashboard using Prometheus and Grafana”

Load testing Python Flask based REST api server from python REST clients – AWS Autoscaling use case

Objective : Create a get, put and post api using python based flask framework Invoke the api using a python based rest client Set up an AWS load balancer in front of the server Launch a swarm of 1000+ clients to invoke the rest api from a python client using aws EC2 Auto Scaling featureContinue reading “Load testing Python Flask based REST api server from python REST clients – AWS Autoscaling use case”

Autoscaling a Kubernetes cluster using Horizontal Pod AutoScaler (HPA)

In the blog I shall be describing the step by step process to setup a Kubernetes cluster using minikube to run a node js based application in Azure cloud and autoscaling the application using Horizontal Pod AutoScaler. Spin up a Standard D4s v3 (4 vcpus, 16 GiB memory) Virtual machine in Azure based on LinuxContinue reading “Autoscaling a Kubernetes cluster using Horizontal Pod AutoScaler (HPA)”