5 Repos
Awesome GitHub RepositoriesCloud Orchestration
Systems for managing and scaling cloud-based infrastructure resources.
Distinguishing note: Focuses on multi-resource coordination rather than single-server configuration.
Explore 5 awesome GitHub repositories matching devops & infrastructure · Cloud Orchestration. Refine with filters or upvote what's useful.
Awesome Cloud Orchestration GitHub Repositories
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- kahun/awesome-sysadmin
kahun/awesome-sysadmin
24,232Auf GitHub ansehenManages and scales virtualized resources across cloud environments.
- boto/boto3
boto/boto3
9,834Auf GitHub ansehenBoto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain
Coordinates distributed workflows, serverless functions, and containerized applications within the cloud ecosystem.
Pythonawsaws-sdkcloud - serviceweaver/weaver
ServiceWeaver/weaver
4,846Auf GitHub ansehenWeaver is a distributed application framework and remote procedure call system that allows developers to organize logic into independent components. It provides a multi-process execution environment where these components communicate via automated serialization, enabling applications to run as a single unit locally or as a distributed system across multiple cloud machines. The framework distinguishes itself through a configuration-driven topology mapping that allows the same logic to execute as a local function call or a remote network request without altering the business logic. It includes
Orchestrates the movement of applications into cloud environments using cluster management tools.
Go - packtpublishing/llm-engineers-handbook
PacktPublishing/LLM-Engineers-Handbook
4,774Auf GitHub ansehenThis project is an educational resource and engineering guide for building, deploying, and optimizing large language model applications and production pipelines. It serves as a blueprint for cloud AI infrastructure, providing a framework for orchestrating inference endpoints, data warehouses, and scalable production environments. The repository provides specific implementation patterns for retrieval augmented generation to ground model responses in external data. It includes a training workflow for crawling, structuring, and processing datasets to facilitate model fine-tuning, alongside an ev
Manages the end-to-end lifecycle of AI solutions from data warehousing to scalable cloud resource orchestration.
Pythonawsfine-tuning-llmgenai - anomalyco/guide
anomalyco/guide
3,682Auf GitHub ansehenThis project is a serverless application framework used to define and deploy cloud infrastructure, serverless APIs, and static frontends through infrastructure as code. It functions as a full stack deployment pipeline and a cloud infrastructure orchestrator for provisioning resources like databases and storage buckets across multiple cloud accounts. The framework includes a local cloud development environment that allows for testing and debugging API endpoints and cloud functions on a local machine before deployment. It also features a containerized build pipeline specifically designed to con
Coordinates and manages scaling for cloud-based infrastructure resources across multiple accounts.
SCSSawsreactjsserverless
