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52 repository-uri

Awesome GitHub RepositoriesDeployment Scaling

Strategies and profiles for adjusting infrastructure resources based on workload demands.

Distinguishing note: Focuses on scaling profiles rather than the initial infrastructure provisioning.

Explore 52 awesome GitHub repositories matching devops & infrastructure · Deployment Scaling. Refine with filters or upvote what's useful.

Awesome Deployment Scaling GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • kelseyhightower/nocodeAvatar kelseyhightower

    kelseyhightower/nocode

    65,391Vezi pe GitHub↗

    This project is a satirical software development framework and conceptual parody of modern DevOps. It functions as an empty-project generator and non-functional deployment tool designed to automate the total absence of code and infrastructure. The framework distinguishes itself by providing a zero-code application building process that removes the need for source code authoring. It includes a nowhere deployment capability, which distributes applications to non-existent environments to eliminate hosting requirements and technical liability. Additional capabilities include a build pipeline tha

    Simulates infrastructure scaling to handle traffic within a non-existent deployment.

    Dockerfile
    Vezi pe GitHub↗65,391
  • infisical/infisicalAvatar Infisical

    Infisical/infisical

    27,374Vezi pe GitHub↗

    Infisical is a centralized secrets management platform designed to store, synchronize, and control access to sensitive credentials and configuration data across distributed development, staging, and production environments. It employs client-side encryption to ensure that secrets remain unreadable to the underlying storage infrastructure, while providing a hierarchical permission model to govern both user and machine access. The platform distinguishes itself through dynamic credential provisioning, which generates short-lived access tokens that are automatically revoked after use. It supports

    Adjusts infrastructure resources based on expected transaction volume and environment usage requirements.

    TypeScriptacmecertificate-managementcli
    Vezi pe GitHub↗27,374
  • langchain-ai/deepagentsAvatar langchain-ai

    langchain-ai/deepagents

    25,006Vezi pe GitHub↗

    Deepagents is an LLM agent orchestration platform and stateful application server designed for deploying and managing AI agents built with computational graphs. It provides a containerized runtime environment that handles agent execution, state persistence, and the versioning of AI assistants. The platform distinguishes itself through deep integration with the Model Context Protocol, allowing agents to function as servers that expose tools and capabilities to external clients. It features a sophisticated observability suite for capturing execution traces, performing LLM-based evaluations agai

    Adjusts active replicas based on CPU and memory usage to maintain performance under load.

    Pythonagentsdeepagentslangchain
    Vezi pe GitHub↗25,006
  • manaflow-ai/cmuxAvatar manaflow-ai

    manaflow-ai/cmux

    22,717Vezi pe GitHub↗

    cmux is a GPU-accelerated terminal emulator and workspace manager designed for coordinating multiple concurrent AI coding agents. It functions as an orchestration terminal that uses scriptable workspaces and split panes to manage parallel AI agent workflows, while also serving as a headless browser automation tool and a remote development relay. The project differentiates itself through a programmatic control plane using a Unix domain socket and CLI, allowing for the automated management of terminal layouts and input delivery. It features an integrated web engine for programmatic DOM manipula

    Handles dozens of concurrent sessions using a high-density system of vertical tabs and split panes.

    Swiftampclaude-codecodex
    Vezi pe GitHub↗22,717
  • prefecthq/prefectAvatar PrefectHQ

    PrefectHQ/prefect

    21,640Vezi pe GitHub↗

    Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as Python code. It functions as a container-native engine that wraps individual tasks in isolated environments, ensuring consistent dependencies and resource allocation across diverse infrastructure. By utilizing a state-machine-based orchestration model, the system tracks execution progress through discrete transitions and persistent event logs to maintain reliable and observable task processing. The platform distinguishes itself through a decoupled worker-API architecture, which sep

    Scales workflow execution across distributed nodes and clusters.

    Pythonautomationdatadata-engineering
    Vezi pe GitHub↗21,640
  • airbytehq/airbyteAvatar airbytehq

    airbytehq/airbyte

    21,472Vezi pe GitHub↗

    Airbyte is a data integration platform designed to synchronize information between diverse applications, databases, and data warehouses. It functions as an extract, transform, and load orchestrator that manages automated data movement workflows across cloud, on-premise, and hybrid environments. The platform provides a standardized interface for connectors, enabling the movement of structured and unstructured data while maintaining stateful checkpoints for reliable incremental syncing. The platform distinguishes itself through a containerized architecture that isolates connectors to prevent de

    Adjusts infrastructure resources dynamically to maintain performance and cost-efficiency as data synchronization workloads fluctuate.

    Pythonbigquerychange-data-capturedata
    Vezi pe GitHub↗21,472
  • fosrl/pangolinAvatar fosrl

    fosrl/pangolin

    21,255Vezi pe GitHub↗

    Pangolin is a zero-trust remote access platform designed to provide secure, identity-aware connectivity to private network resources. It functions as a cloud-native network controller that orchestrates encrypted tunnels, traffic routing, and access policies across distributed environments. By leveraging WireGuard for secure data transport, the platform enables authenticated access to internal web applications, terminal sessions, and remote desktops without exposing services to the public internet. The platform distinguishes itself through a declarative infrastructure model that synchronizes n

    Provides predefined resource profiles to adjust CPU and memory limits based on expected traffic and load.

    TypeScriptcrowdsecdockerhome-lab
    Vezi pe GitHub↗21,255
  • cube-js/cubeAvatar cube-js

    cube-js/cube

    20,251Vezi pe GitHub↗

    Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and relationships across diverse data sources. By acting as a headless business intelligence engine, it transforms raw data into a governed model that can be queried via SQL, REST, and GraphQL interfaces. This architecture ensures consistent data definitions and logic across all downstream analytical applications and reporting tools. The platform distinguishes itself through its integrated conversational AI capabilities, which allow users to explore data using natural language. It orches

    Provides tiered hosting options ranging from shared development environments to high-availability production clusters for large-scale multi-tenancy.

    Rustagentic-analyticsagentsai
    Vezi pe GitHub↗20,251
  • nats-io/nats-serverAvatar nats-io

    nats-io/nats-server

    20,076Vezi pe GitHub↗

    NATS Server is a high-performance, lightweight messaging system designed for cloud-native applications, edge computing, and distributed microservices. It functions as a distributed publish-subscribe broker that routes messages using hierarchical, dot-separated subject strings, enabling decoupled communication between services without requiring centralized broker lookups. The system supports core messaging patterns including asynchronous publish-subscribe, request-reply, and load-balanced queue processing. The platform distinguishes itself through a decentralized architecture that eliminates t

    Provides flexible deployment configurations ranging from single-process edge instances to globally distributed superclusters.

    Gocloudcloud-computingcloud-native
    Vezi pe GitHub↗20,076
  • temporalio/temporalAvatar temporalio

    temporalio/temporal

    18,411Vezi pe GitHub↗

    Temporal is a distributed workflow orchestration engine designed to manage fault-tolerant, stateful, and long-running background processes. It functions as a platform for coordinating complex cross-service operations, ensuring consistency and reliability in distributed environments by decoupling workflow orchestration from task execution. The platform distinguishes itself through a deterministic, event-sourced execution model that reconstructs workflow state by re-executing code from an immutable event log. This approach isolates non-deterministic side effects into managed activities, allowin

    Adjusts the available throughput for workflows by switching between automatic scaling based on usage or reserving fixed capacity units.

    Gocronjob-schedulerdistributed-crondistributed-systems
    Vezi pe GitHub↗18,411
  • vercel/vercelAvatar vercel

    vercel/vercel

    15,738Vezi pe GitHub↗

    Vercel is a cloud platform for building, deploying, and scaling web applications. It provides a unified infrastructure that automates the build process by detecting project frameworks and distributing static and dynamic content through a global content delivery network. The platform executes application logic using serverless functions that scale automatically based on real-time traffic demand. The platform distinguishes itself through a centralized AI gateway that proxies requests to multiple model providers, enabling standardized authentication, observability, and cost tracking. It supports

    Automatically scales compute resources based on real-time traffic demand to maintain application performance.

    TypeScriptclicloudcommand
    Vezi pe GitHub↗15,738
  • spree/spreeAvatar spree

    spree/spree

    15,230Vezi pe GitHub↗

    This project is a modular e-commerce platform built on Ruby on Rails, designed to serve as a comprehensive engine for managing online retail operations. It provides the foundational infrastructure to handle complex product catalogs, customer order lifecycles, and global payment processing within a unified system. The platform distinguishes itself through a headless, API-first architecture that decouples backend commerce logic from custom frontend storefronts. It supports multi-tenant environments, allowing for the management of multiple independent retail storefronts or marketplaces from a si

    The platform adjusts resource allocation and enables auto-scaling for web and background services to handle varying traffic demands in production environments.

    Rubycarte-commerceecommerce
    Vezi pe GitHub↗15,230
  • asyncfuncai/deepwiki-openAvatar AsyncFuncAI

    AsyncFuncAI/deepwiki-open

    14,362Vezi pe GitHub↗

    This platform is an automated documentation and codebase analysis system designed to generate structured wikis, technical guides, and interactive diagrams from source code repositories. It functions as a retrieval-augmented generation framework that connects codebases to language models, enabling context-aware answers, deep research, and automated documentation updates through semantic vector search. The system distinguishes itself through a self-hosted, containerized architecture that supports both cloud-based and local AI model execution. It provides sophisticated model orchestration, allow

    Orchestrates multi-container environments and adjusts service replicas to handle varying traffic loads and ensure high availability.

    Pythonaigeminigithub
    Vezi pe GitHub↗14,362
  • aws/aws-cdkAvatar aws

    aws/aws-cdk

    12,817Vezi pe GitHub↗

    The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It

    Scales infrastructure and application workloads automatically based on real-time demand.

    TypeScriptawscloud-infrastructurehacktoberfest
    Vezi pe GitHub↗12,817
  • crowdsecurity/crowdsecAvatar crowdsecurity

    crowdsecurity/crowdsec

    12,574Vezi pe GitHub↗

    CrowdSec is a collaborative, distributed security engine designed for threat detection and infrastructure protection. It functions as an intrusion detection system that parses logs and network traffic to identify malicious patterns, utilizing a bucket-based threshold detection model to aggregate events and trigger alerts. The platform is built on a modular architecture that includes a centralized local API server for managing security signals and a relational database for persistent storage of remediation decisions. What distinguishes the project is its decoupled enforcement model, which offl

    Supports flexible deployment scaling from autonomous local processing to distributed agent-based architectures.

    Goattacks-preventiondetectionids
    Vezi pe GitHub↗12,574
  • firebase/functions-samplesAvatar firebase

    firebase/functions-samples

    12,238Vezi pe GitHub↗

    This repository provides a comprehensive library of code examples for implementing event-driven, serverless backend architectures. It serves as a practical guide for building scalable cloud-native applications that execute logic in isolated environments, triggered by infrastructure events or HTTP requests rather than persistent server processes. The collection demonstrates how to leverage managed infrastructure to automate backend workflows, including the use of asynchronous task queuing to maintain system stability during high traffic. It highlights patterns for secure API hosting, enabling

    Adjusts computing capacity dynamically based on request volume to maintain performance without manual intervention.

    JavaScriptfaasfaas-platformfirebase
    Vezi pe GitHub↗12,238
  • crossplane/crossplaneAvatar crossplane

    crossplane/crossplane

    11,791Vezi pe GitHub↗

    Crossplane is a Kubernetes-based control plane framework that functions as a cloud resource orchestrator and infrastructure-as-code platform. It enables the management of heterogeneous infrastructure by extending the Kubernetes API to provision and maintain external cloud services through declarative configuration. By utilizing custom resource controllers, it continuously reconciles the state of external infrastructure with defined desired states, ensuring consistent deployment and lifecycle management across multiple cloud providers. The platform distinguishes itself through its composition-

    Exposes standard scaling interfaces on custom resources to allow capacity adjustments.

    Gocloud-computingcloud-managementcloud-native
    Vezi pe GitHub↗11,791
  • quantumblacklabs/kedroAvatar quantumblacklabs

    quantumblacklabs/kedro

    10,889Vezi pe GitHub↗

    Kedro is a data science pipeline framework and production toolbox designed to build reproducible, modular workflows using software engineering best practices. It functions as a data engineering orchestrator and catalog manager, bridging the gap between interactive analysis and maintainable production pipelines. The framework distinguishes itself by using a data catalog to decouple data access from processing logic and providing tools to transition analysis from interactive notebooks into structured workflows. It includes a workflow visualization tool that generates visual maps of data pipelin

    Executes data processing tasks across single machines, distributed clusters, or managed orchestration platforms.

    Python
    Vezi pe GitHub↗10,889
  • boto/boto3Avatar boto

    boto/boto3

    9,834Vezi pe GitHub↗

    Boto3 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

    AWS adjusts compute instances and application tasks based on demand to maintain performance.

    Pythonawsaws-sdkcloud
    Vezi pe GitHub↗9,834
  • netflix/metaflowAvatar Netflix

    Netflix/metaflow

    9,764Vezi pe GitHub↗

    Metaflow is a Python machine learning framework and MLOps workflow orchestrator designed to manage the lifecycle of data pipelines from local prototyping to production. It serves as a distributed compute manager and an experiment tracking system, enabling the creation of reproducible pipelines that transition between development and high-availability production environments. The framework distinguishes itself through an integrated checkpointing system that automatically persists intermediate data artifacts to remote storage, allowing failed runs to be resumed from the last successful step. It

    Scales the execution of data pipelines across distributed nodes and cloud clusters for high-availability production environments.

    Pythonagentsaiaws
    Vezi pe GitHub↗9,764
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  1. Home
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  3. Deployment Scaling

Explorează sub-etichetele

  • Scaling Profiles3 sub-tag-uriPredefined resource configurations for adjusting application capacity based on workload demands. **Distinct from Deployment Scaling:** Distinct from Deployment Scaling: focuses on the specific resource profiles used for scaling rather than the scaling strategy itself.
  • Session-Based Scaling3 sub-tag-uriDynamic adjustment of infrastructure to support concurrent real-time AI agent sessions. **Distinct from Deployment Scaling:** Focuses on scaling the number of active agent participants rather than general infrastructure resource profiles.
  • Web Application Scaling2 sub-tag-uriConfiguring web applications across multiple servers to partition traffic and background processing for improved performance. **Distinct from Deployment Scaling:** Distinct from Deployment Scaling: focuses on web application-specific multi-node scaling rather than general infrastructure scaling.