Stars
Learn Low Level Design (LLD) and prepare for interviews using free resources.
Resilience4j is a fault tolerance library designed for Java8 and functional programming
📮 A fully featured open source mail delivery platform for incoming & outgoing e-mail
OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID…
The open-source database for the realtime web.
HyperDex is a scalable, searchable key-value store
Define Kubernetes native apps and abstractions using object-oriented programming
SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open sour…
Customization of kubernetes YAML configurations
Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥
ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.
.NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.
Sample code referenced by the .NET documentation
GitHub Action to set up Docker Buildx
Curated Collection of all Low level design Questions and implementation asked in major Tech companies , Get yourself prepared for the LLD round and ace the interview.
An opinionated list of awesome Python frameworks, libraries, software and resources.
Git with a cup of tea! Painless self-hosted all-in-one software development service, including Git hosting, code review, team collaboration, package registry and CI/CD
A curated list of awesome Go frameworks, libraries and software
The fantastic ORM library for Golang, aims to be developer friendly
Quickly rewrite git repository history (filter-branch replacement)
A time-series database for high-performance real-time analytics packaged as a Postgres extension
A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL
Literature references for “Designing Data-Intensive Applications”