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7 dépôts

Awesome GitHub RepositoriesDeployment Simulators

Tools for simulating job submissions against cluster state to validate scheduling decisions.

Distinct from Deployment Orchestration: Distinct from deployment orchestration: focuses on pre-flight simulation and impact analysis rather than execution.

Explore 7 awesome GitHub repositories matching devops & infrastructure · Deployment Simulators. Refine with filters or upvote what's useful.

Awesome Deployment Simulators GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • hashicorp/nomadAvatar de hashicorp

    hashicorp/nomad

    16,211Voir sur GitHub↗

    Nomad is a distributed workload orchestrator and infrastructure automation platform designed to manage the lifecycle of applications across large-scale, heterogeneous environments. It functions as a multi-cloud orchestration engine, providing a unified control plane to deploy, scale, and govern containers, virtual machines, and legacy applications. By utilizing declarative job specifications, the system ensures infrastructure convergence and maintains the desired state across distributed data centers and geographic regions. The platform distinguishes itself through a flexible, plugin-based ar

    Simulates job impacts against current cluster state to review scheduling decisions before application.

    Go
    Voir sur GitHub↗16,211
  • layer5io/mesheryAvatar de layer5io

    layer5io/meshery

    10,914Voir sur GitHub↗

    Meshery is a cloud native management plane used for the orchestration and administration of service meshes and Kubernetes clusters across multiple cloud providers. It provides a centralized interface to configure cloud native components and manage infrastructure through a unified abstraction layer. The platform features a visual infrastructure modeler that translates diagrams into manifests and a simulation engine for dry-running configuration changes. It synchronizes infrastructure state with version control via GitOps workflows, providing visual previews of pull request changes to evaluate

    Implements a simulation engine to dry-run configuration manifests and preview changes before live deployment.

    TypeScript
    Voir sur GitHub↗10,914
  • getmoto/motoAvatar de getmoto

    getmoto/moto

    8,550Voir sur GitHub↗

    Moto is a cloud service mockery framework and API mock server that simulates AWS infrastructure locally. It allows developers to test cloud-dependent code and verify infrastructure-as-code templates without deploying real resources or incurring costs. The project functions as an SDK interceptor that can patch existing service clients to redirect requests to a local mock environment. It can also be run as a standalone HTTP server, enabling any programming language to interact with the simulated endpoints. The framework covers a vast array of simulated capabilities, including data storage, com

    Simulates the creation of deployment groups and the execution of deployments.

    Pythonawsbotoec2
    Voir sur GitHub↗8,550
  • nomicfoundation/hardhatAvatar de NomicFoundation

    NomicFoundation/hardhat

    8,489Voir sur GitHub↗

    Hardhat is a smart contract development framework and EVM tooling suite designed for the full lifecycle of Ethereum and EVM-compatible applications. It serves as a development environment for compiling, testing, and deploying smart contracts, providing a local blockchain simulation and a programmable task runner. The framework is distinguished by its extensive simulation capabilities, including the ability to fork remote network state and manipulate block time or account balances. It features a hook-based plugin system that allows for the extension of core functionality and the creation of cu

    Simulates transactions before execution to detect potential reverts and prevent failed deployments.

    TypeScriptblockchaindappsdebugging
    Voir sur GitHub↗8,489
  • ai-dynamo/dynamoAvatar de ai-dynamo

    ai-dynamo/dynamo

    6,112Voir sur GitHub↗

    Dynamo is a distributed inference orchestration platform designed for large language models. It functions as a system to coordinate prefill and decode phases across GPU nodes, utilizing a multi-backend runtime adapter to connect engines like vLLM and TensorRT-LLM through a unified block-oriented memory interface. An OpenAI-compatible API server provides the frontend for integration with existing tools and clients. The project is distinguished by its disaggregated serving architecture, which separates prompt processing and token generation onto independent GPU pools to optimize throughput and

    Evaluates thousands of serving configurations offline to find the optimal setup without consuming GPU resources.

    Rust
    Voir sur GitHub↗6,112
  • vllm-project/semantic-routerAvatar de vllm-project

    vllm-project/semantic-router

    3,205Voir sur GitHub↗

    Replays traces and tests planning assumptions through simulation to validate fleet-sizing decisions.

    Goai-gatewaybert-classificationfine-tuning
    Voir sur GitHub↗3,205
  • splunk/attack_rangeAvatar de splunk

    splunk/attack_range

    2,507Voir sur GitHub↗

    Attack Range is a cybersecurity breach simulation framework designed to orchestrate the lifecycle of security labs and execute controlled attack scenarios. It functions as a security simulation infrastructure orchestrator, enabling the deployment of instrumented cloud and local environments to validate defensive capabilities and generate security telemetry. The platform distinguishes itself through configuration-driven automation and infrastructure-as-code orchestration, which allow for the repeatable provisioning of vulnerable environments. It manages the entire simulation lifecycle, from th

    Orchestrates the lifecycle of security labs and executes controlled attack scenarios to validate defensive capabilities.

    Pythonadversaryattack-rangeattack-simulation
    Voir sur GitHub↗2,507
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  3. Deployment Orchestration
  4. Deployment Simulators

Explorer les sous-tags

  • Cybersecurity Breach SimulatorsFrameworks for orchestrating the lifecycle of security labs and executing controlled attack scenarios to validate defensive capabilities. **Distinct from Deployment Simulators:** Distinct from Deployment Simulators: focuses on security-specific attack sequences and lab lifecycle management rather than cluster scheduling validation.
  • Fleet Sizing What-If SimulatorsReplays traces and tests planning assumptions through simulation runs to validate fleet-sizing decisions before deployment. **Distinct from Deployment Simulators:** Distinct from Deployment Simulators: focuses on fleet-sizing validation through trace replay rather than job submission simulation against cluster state.