rakesharumalla's starred repositories
ClickHouse
ClickHouse® is a real-time analytics DBMS
argocd-operator
A Kubernetes operator for managing Argo CD clusters.
documentation
https://docs.chain.link The Chainlink developer documentation website for Smart Contract Devs and Node Operators
Adobe-Workshop-ArgoCon2022
Supporting material for the Adobe Workshop as part of ArgoCon 2022
serverless-ml-course
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
drag-stack
Kick Start your Cloud Native CI and GitOps with Drone, Argo CD and Gitea Stack
django-on-k8s
Deploy on a django on Kubernetes
Building-a-NoSQL-database-from-zero
A Github repo for Building a NoSQL database from zero
jsoncrack.com
✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs.
Machine-Learning-From-Scratch
Implementation of popular ML algorithms from scratch
alternator-load-balancing
Various tricks, scripts, and libraries, for load balancing multiple Alternator nodes
Cloud-Native
This is a showcase on Azure Cloud Native, the products, events and how to get started or go deep with cloud native technologies, including Serverless on Azure.
setup-cri-dockerd
It is very easy to switch from Docker Shim to CRI Dockerd and back
grafana-dashboards-kubernetes
A set of modern Grafana dashboards for Kubernetes.
workshop-introduction-to-machine-learning
Come ready to discover the goals and approaches of machine learning, and how to build effective algorithms and solutions!
system-design
Learn how to design systems at scale and prepare for system design interviews
terraform-cdk
Define infrastructure resources using programming constructs and provision them using HashiCorp Terraform
awesome-event-patterns
Personal collection of links, videos and things to help with event architecture event patterns.
vscode-gitops-tools
GitOps Visual Studio Code Extension
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw