rafael-gumiero

create-react-app

Set up a modern web app by running one command.

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

locust

Write scalable load tests in plain Python 🚗💨

wazuh

Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.

awesome-elasticsearch

A curated list of the most important and useful resources about elasticsearch: articles, videos, blogs, tips and tricks, use cases. All about Elasticsearch!

lakeFS

lakeFS - Data version control for your data lake | Git for data

hubble

Hubble - Network, Service & Security Observability for Kubernetes using eBPF

velox

A C++ vectorized database acceleration library aimed to optimizing query engines and data processing systems.

phlare

🔥 horizontally-scalable, highly-available, multi-tenant continuous profiling aggregation system

metarank

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

AWSGoat

AWSGoat : A Damn Vulnerable AWS Infrastructure

data-on-eks

DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS

appscope

Gain observability into any Linux command or application with no code modification

aws-arch-backoff-simulator

Simulator for AWS architecture blog (http://www.awsarchitectureblog.com/ ) about jitter and backoff.

aws-security-analytics-bootstrap

AWS Security Analytics Bootstrap enables customers to perform security investigations on AWS service logs by providing an Amazon Athena analysis environment that's quick to deploy, ready to use, and easy to maintain.

sandbox-accounts-for-events

"Sandbox Accounts for Events" allows to provide multiple, temporary AWS accounts to a number of authenticated users simultaneously via a browser-based GUI.

opamp-go

OpAMP protocol implementation in Go

semantic-search-with-amazon-opensearch

ml-commons

ml-commons provides a set of common machine learning algorithms, e.g. k-means, or linear regression, to help developers build ML related features within OpenSearch.

observability-with-amazon-opensearch

This repository contains a microservice-based Sample App demonstrating observability capabilities in the Amazon OpenSearch Service.

neural-search

Plugin that adds dense neural retrieval into the OpenSearch ecosytem

cloud-gpu-reliability

A mini container to log cloud gpu reliability

kubectl-eks

kubectl plugin for Amazon EKS

aws-cloudwan-workshop-code

aws-logs-comptroller

opensearch-operator

OpenSearch operator

cloudcanvas

Making the cloud a little more fun.

flow-telemetry

Adding observability to feature flow with OpenTelemetry

observability-with-amazon-opensearch-blog

search-relevance

Make Opensearch results more relevant.