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ollama

Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.

Language:GoMIT8023100

learn-system-design

👨‍💻 Всё, что нужно знать о System Design для прохождения интервью и не только

Language:PythonMIT32500

bookstore-demo

MicroStream BookStore Demo - Sample Application

Language:JavaMIT3000

jkube

Build and Deploy java applications on Kubernetes

Language:JavaEPL-2.071200

High-Performance Java-Native-Persistence. Store and load any Java Object Graph or Subgraphs partially, Relieved of Heavy-weight JPA. Microsecond Response Time. Ultra-High Throughput. Minimum of Latencies. Create Ultra-Fast In-Memory Database Applications & Microservices.

Language:JavaEPL-2.055800

jobrunr

An extremely easy way to perform background processing in Java. Backed by persistent storage. Open and free for commercial use.

Language:JavaNOASSERTION229200

timefold-solver

The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

Language:JavaApache-2.083300

evolutionary-architecture-by-example

Navigate the complex landscape of .NET software architecture with our step-by-step, story-like guide. Unpack the interplay between modular monoliths, microservices, domain-driven design, and various architectural patterns. Go beyond the one-size-fits-all solutions and understand how to blend these approaches based on your unique needs.

Language:C#MIT142800

rds-health

discover anomalies, performance issues and optimization within AWS RDS

Language:GoMIT2200

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Language:Jupyter NotebookMIT5738800

amazon-kinesis-data-processor-aws-fargate

Sample code for the AWS Big Data Blog Post Building a scalable streaming data processor with Amazon Kinesis Data Streams on AWS Fargate

Language:PythonMIT-03500

guidance-for-game-analytics-pipeline-on-aws

The Game Analytics Pipeline solution helps game developers to apply a flexible, and scalable DataOps methodology to their games. Allowing them to continuously integrate, and continuously deploy a scalable serverless data pipeline for ingesting, storing, and analyzing telemetry data generated from games, and services.

Language:JavaScriptMIT-0900