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Nilesh 's Projects

kubeshark icon kubeshark

The API traffic viewer for Kubernetes providing deep visibility into all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. Think TCPDump and Wireshark re-invented for Kubernetes

lambda-vpc-example icon lambda-vpc-example

Demonstration of how a recent AWS update to lambda makes it feasible to turn off the infrastructure that runs your batch workloads

lambdauth icon lambdauth

A sample authentication service implemented with a server-less architecture, using AWS Lambda to host and execute the code and Amazon DynamoDB as persistent storage. This provides a cost-efficient solution that is scalable and highly available and can be used with Amazon Cognito for Developer Authenticated Identities.

mocha icon mocha

simple, flexible, fun javascript test framework for node.js & the browser

opencost icon opencost

Cross-cloud cost allocation models for Kubernetes workloads

project-data-modeling-with-postgres icon project-data-modeling-with-postgres

Introduction A startup called Sparkify wants to analyze the data they've been collecting on songs and user activity on their new music streaming app. The analytics team is particularly interested in understanding what songs users are listening to. Currently, they don't have an easy way to query their data, which resides in a directory of JSON logs on user activity on the app, as well as a directory with JSON metadata on the songs in their app. They'd like a data engineer to create a Postgres database with tables designed to optimize queries on song play analysis, and bring you on the project. Your role is to create a database schema and ETL pipeline for this analysis. You'll be able to test your database and ETL pipeline by running queries given to you by the analytics team from Sparkify and compare your results with their expected results. Project Description In this project, you'll apply what you've learned on data modeling with Postgres and build an ETL pipeline using Python. To complete the project, you will need to define fact and dimension tables for a star schema for a particular analytic focus, and write an ETL pipeline that transfers data from files in two local directories into these tables in Postgres using Python and SQL.

pulumi-python-aws-ansible icon pulumi-python-aws-ansible

Example project showing how to use Pulumi locally & with TravisCI to create Infrastructure on AWS - and then how to use & integrate Pulumi with Ansible to install Docker on the EC2 instance & continuously test it with Testinfra & pytest (TDD)

robusta icon robusta

Open source Kubernetes monitoring, troubleshooting, and automation platform

sample-app-mobile icon sample-app-mobile

This is the Sauce Labs Native Sample Application which is designed to be used with mobile devices

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