7 repositorios
Mapping high-level configuration values to specific container orchestration resources.
Distinct from State Mapping: Distinct from general state mapping by focusing specifically on the translation to infrastructure manifests
Explore 7 awesome GitHub repositories matching software engineering & architecture · Infrastructure Resource Mapping. Refine with filters or upvote what's useful.
This repository serves as a curated collection of software packages for Kubernetes application deployment and package management. Its primary purpose is to provide a standardized set of predefined application configurations to ensure consistent software installations across different clusters. The project focuses on maintaining version compatibility and providing a reliable source of verified packages. This allows for a standardized cluster setup by simplifying the installation and versioning of software on a container orchestration platform.
Maps high-level user configuration options to low-level Kubernetes resources through structured values files.
Horovod is a distributed deep learning framework and gradient synchronizer designed to scale model training across multiple GPUs and compute nodes. It functions as a distributed training orchestrator and an elastic training engine, utilizing an MPI collective communication library to synchronize weights and gradients across TensorFlow, PyTorch, Keras, and MXNet models. The system distinguishes itself through dynamic elastic scaling, which allows it to adjust the number of active workers at runtime and recover from node failures. It optimizes communication efficiency using tensor fusion batchi
Maps training processes to specific CPU or GPU devices to optimize hardware utilization based on cluster allocation.
Checkov is a static analysis tool and security scanner designed to identify misconfigurations in infrastructure as code, container images, and Kubernetes configurations. It functions as a cloud security posture tool, an SCA vulnerability scanner, and a secret scanning utility to prevent security breaches and version control leaks. The project distinguishes itself through deep graph analysis and variable resolution, allowing it to map relationships between interconnected resources and evaluate the final state of infrastructure attributes. It provides extensibility for defining custom security
Maps relationships between infrastructure components to detect complex security flaws spanning multiple resources.
tfsec is a static analysis tool and security scanner for infrastructure as code, specifically designed to detect misconfigurations and compliance violations in Terraform and cloud infrastructure definitions before deployment. It functions as a cloud security policy engine that identifies vulnerabilities across multiple cloud platforms. The tool provides capabilities for cloud compliance auditing and scanning of Cloud Development Kit code. It supports custom security policy enforcement and allows for the definition of organization-specific security requirements. The scanner includes features
Analyzes dependencies between cloud resources to detect security vulnerabilities that span multiple configuration blocks.
mistral.rs is an inference engine for large language models that runs locally and exposes models behind OpenAI and Anthropic-compatible APIs. It serves as a multi-model serving platform, capable of loading several models in a single server process with per-request routing and on-demand loading and unloading. The engine supports multimodal inference, processing text alongside images, video, audio, and speech inputs, and includes a quantized model deployment runtime that reduces memory use and speeds up inference on consumer hardware. The project distinguishes itself through an agentic tool exe
Provides hints for automatically mapping model layers to available hardware devices.
Boto is a Python SDK and API wrapper for Amazon Web Services. It serves as a programmatic interface for managing and automating cloud infrastructure, mapping cloud-side resources to native Python objects and methods. The library provides tools for the programmatic control and orchestration of compute, storage, networking, and database resources. It enables the automation of infrastructure deployments and the management of virtual servers, container services, and serverless functions. Capability areas include identity and access management, cloud monitoring and observability, and the administ
Maps cloud-side infrastructure entities like buckets and instances to native Python classes for programmatic manipulation.
Liam es un visualizador de esquemas de bases de datos y generador interactivo de diagramas entidad-relación. Analiza esquemas SQL y formatos ORM para crear representaciones visuales de estructuras de bases de datos, permitiendo a los usuarios analizar las relaciones entre tablas y navegar por diseños complejos. El proyecto se distingue por su integración en tuberías CI/CD, actuando como un automatizador de documentación que sincroniza los diagramas con los cambios en el esquema de la base de datos durante el despliegue. Admite compartir perspectivas específicas de un esquema mediante enlaces de vista basados en coordenadas que capturan niveles de zoom precisos y vistas filtradas. La herramienta proporciona una amplia gama de capacidades de visualización, incluyendo renderizado de lienzo interactivo con desplazamiento y zoom, filtrado de vistas basado en estados para reducir el desorden visual y manipulación manual de nodos para reorganizar diseños. También admite la generación de diagramas estáticos para su uso en repositorios internos.
Provides relationship highlighting and filtering to isolate and analyze specific segments of a database layout.