Pinned Repositories
glossary
The CNCF Cloud Native Glossary Project aims to define cloud native concepts in clear and simple language, making them accessible to anyone — whether they have a technical background or not (https://glossary.cncf.io).
Airbnb-Data-Analysis
This project examines Airbnb data from 2015 to 2017. Reviews are the richest source of data about how a trip went with cleanlinessŁ, check in, communication, host, etc. in focus. With increasing number of hosts listing their rental on Airbnb and more and more travellers preferring it over traditional accommodations it is important to understand which factors drive the reviews and ratings. In this project we have analyzed and inferred the top factors leading to negative reviews in US cities to help hosts improve in those aspects. We have also analyzed combined ratings for different factors to plot on map the best- rated listings in these cities. The technologies used for data analysis in this project are SparkML, Python, Pyspark, NLTK and Tableau, Plotly for its visualisation. This report elaborates on all concepts, tech stack, steps taken and provides visualizations for better understanding.
amazon-eks-ami
Packer configuration for building a custom EKS AMI
aws-amicleaner
Cleanup your old unused ami and related snapshots
bash2py
bash2py in a docker image, cf: http://www.swag.uwaterloo.ca/bash2py/index.html
chaos-mesh
A Chaos Engineering Platform for Kubernetes.
csharp
Officially supported dotnet Kubernetes Client library
dashboard
General-purpose web UI for Kubernetes clusters
website
Kubernetes website and documentation repo:
pprof-server
Web server exposing performance profiles of Go services.
Garima-Negi's Repositories
Garima-Negi/Airbnb-Data-Analysis
This project examines Airbnb data from 2015 to 2017. Reviews are the richest source of data about how a trip went with cleanlinessŁ, check in, communication, host, etc. in focus. With increasing number of hosts listing their rental on Airbnb and more and more travellers preferring it over traditional accommodations it is important to understand which factors drive the reviews and ratings. In this project we have analyzed and inferred the top factors leading to negative reviews in US cities to help hosts improve in those aspects. We have also analyzed combined ratings for different factors to plot on map the best- rated listings in these cities. The technologies used for data analysis in this project are SparkML, Python, Pyspark, NLTK and Tableau, Plotly for its visualisation. This report elaborates on all concepts, tech stack, steps taken and provides visualizations for better understanding.
Garima-Negi/amazon-eks-ami
Packer configuration for building a custom EKS AMI
Garima-Negi/aws-amicleaner
Cleanup your old unused ami and related snapshots
Garima-Negi/bash2py
bash2py in a docker image, cf: http://www.swag.uwaterloo.ca/bash2py/index.html
Garima-Negi/chaos-mesh
A Chaos Engineering Platform for Kubernetes.
Garima-Negi/csharp
Officially supported dotnet Kubernetes Client library
Garima-Negi/csi-release-tools
shared build and test files used by kubernetes-csi projects
Garima-Negi/dashboard
General-purpose web UI for Kubernetes clusters
Garima-Negi/DataViz
Garima-Negi/example
Example middleware for CoreDNS
Garima-Negi/firefly-cli
FireFly Command Line Interface (CLI)
Garima-Negi/Garima-Negi.github.io
learning about segment's analytics.js
Garima-Negi/gitclass
test project for git
Garima-Negi/glossary
Cloud Native Glossary
Garima-Negi/invitae_cohort_analysis
Garima-Negi/java
Official Java client library for kubernetes
Garima-Negi/kube-openapi
Kubernetes OpenAPI spec generation & serving
Garima-Negi/kube-state-metrics
Add-on agent to generate and expose cluster-level metrics.
Garima-Negi/Project-SISMS
Garima-Negi/PropertyInvestmentAnalysis
Garima-Negi/Web-Tiger-Engineering
Website developed for Mumbai based manufacturer of pollution control equipments by the name Tiger Engineering Co.
Garima-Negi/website
Kubernetes website and documentation repo:
Garima-Negi/Yelp_Dataset_Analysis
Pig and Spark (scala) used code to analyse and visualise Yelp data