Showing 461-480 of 1,244 projects
A complete solution for developers to create a production-ready Go project with frontend, backend, and deployment automation.
A container registry platform for building, storing, and distributing applications and containers.
Enterprise-grade Cloud-Native application platform for Kubernetes
A C++ library of Concurrent Data Structures for building high-performance, scalable applications.
An open-source C++ library for Bayesian inference and data analysis using Markov Chain Monte Carlo (MCMC) methods.
A Kubernetes-like control plane for diverse form-factors and use-cases beyond containers.
A Kubernetes learning resource with hands-on labs for various Kubernetes concepts and tools.
Retired Heapster project for monitoring and analyzing resource usage of container clusters.
This is an AWS workshop that teaches developers how to build cloud-native applications on Kubernetes.
A powerful dependency injection library for Objective-C that enables building modular, testable, and maintainable iOS apps.
This repository provides a comprehensive cheat sheet for common Active Directory enumeration and exploitation techniques.
A high-performance HTTP and TLS proxy for routing connections based on hostname
A browser-ready efficient scrolling container based on UITableView, useful for building complex UIs.
A PaaS built on top of Amazon EC2 Container Service (ECS) for building and deploying containerized applications.
RamaLama simplifies local serving of AI models and enables their use for inference in production via containers.
Singularity is a container engine for scientific and HPC workloads, focused on portability and reproducibility.
Juju is a powerful orchestration engine for deploying and managing applications on Kubernetes or any infrastructure.
This repository contains related material for articles on the TensorFlow machine learning framework.
Elkeid is an open-source security solution for hosts, containers, K8s, and serverless workloads.
A utility to enter a Linux container's namespace, allowing developers to debug and troubleshoot containerized applications.
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