19 Repos
Tools for automating the end-to-end delivery process including health checks and security.
Distinguishing note: Covers the operational lifecycle of a deployment rather than just the initial launch.
Explore 19 awesome GitHub repositories matching devops & infrastructure · Deployment Lifecycle Managers. Refine with filters or upvote what's useful.
This project is a self-hosted platform-as-a-service that provides a centralized management interface for deploying, configuring, and monitoring containerized applications and databases on private infrastructure. It functions as a visual control plane, automating the end-to-end lifecycle of services from source code to production. By managing container orchestration, networking, and resource allocation, it allows users to maintain full control over their own hardware while streamlining the delivery of software. The platform distinguishes itself through its agentless architecture, which uses se
Automates security enforcement, health checks, and resource constraints to ensure reliable application delivery.
NetBird is a zero-trust networking platform that builds secure, encrypted peer-to-peer overlay networks using the WireGuard protocol. It functions as a software-defined perimeter, connecting distributed infrastructure across cloud environments and physical locations while hiding network resources from the public internet. By integrating with external identity providers, the platform enforces granular access control and identity-based segmentation for every user and device. The platform distinguishes itself through extensive automation and programmatic management capabilities. It provides a ce
Packages network client binaries for distribution through mobile device management solutions to ensure consistent versioning.
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
Automates the end-to-end deployment lifecycle from initial repository connection to production release.
CapRover is a self-hosted platform-as-a-service that provides a centralized dashboard for managing containerized applications and databases. It functions as a container orchestration platform, simplifying the deployment, scaling, and networking of services across server environments. By leveraging a reverse-proxy-based architecture, the platform handles domain mapping, traffic routing, and automated SSL certificate lifecycle management to ensure secure, encrypted access for hosted web services. The platform distinguishes itself through its integrated automation capabilities, which include aut
Automates the end-to-end operational lifecycle of containerized deployments, including health checks and runtime configuration.
Rook is a Kubernetes storage orchestrator and distributed storage operator that automates the deployment and management of storage clusters. It serves as a multi-protocol storage provider, offering block, file, and object storage capabilities to containerized workloads. The system focuses on providing a self-healing storage cluster that replicates data across hardware nodes to maintain availability and recover from failures. It uses an operator-led model to handle the installation, scaling, and upgrades of storage nodes and daemons. The orchestrator covers a broad range of provisioning servi
Uses the Kubernetes Operator pattern to automate the full lifecycle of storage cluster deployment and configuration.
This project is a cloud-native identity and access management platform designed to centralize authentication, authorization, and identity lifecycle management. It functions as a standards-compliant OpenID Connect authorization server, providing secure session management and token issuance for web, mobile, and device-based applications. The platform is built to handle complex identity requirements through stateless token authentication and support for modern passwordless methods, including biometrics and hardware keys. What distinguishes this platform is its native support for multi-tenant env
Separates initialization, setup, and runtime operations into distinct phases for improved deployment control.
Kubescape is a Kubernetes security posture management platform designed to scan clusters, manifests, and images for misconfigurations, vulnerabilities, and compliance risks. It functions as a comprehensive security suite incorporating a compliance scanner, a container image vulnerability scanner, an admission controller for policy enforcement, and a runtime security monitor. The platform distinguishes itself through runtime-aware vulnerability filtering, which maps libraries loaded in memory to determine if vulnerabilities are actually reachable. It also integrates with AI assistants via a Mo
Automates the deployment and lifecycle management of security components using a Kubernetes operator.
OpenShift Origin is a Kubernetes distribution platform that extends Kubernetes with integrated security, multi-tenancy, and application lifecycle management for enterprise container orchestration. It functions as a multi-tenant container orchestrator that enforces per-project security policies, resource quotas, and SELinux isolation for shared cluster environments. The platform includes a Source-to-Image builder that creates container images directly from application source code using Dockerfiles or buildpacks without external build servers, and an Operator Lifecycle Manager that installs and
Uses Kubernetes operators to automate installation, upgrade, and management of platform components.
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
Tracks deployment state to recover from errors and resume interrupted executions.
MetalLB is a Kubernetes load balancer implementation and IP address manager designed for bare metal clusters. It functions as a networking tool that provides external connectivity and traffic distribution by assigning external IPv4 and IPv6 addresses to services. The project differentiates itself by providing two distinct advertisement modes. It can operate as a BGP routing controller, using the Border Gateway Protocol to announce service IPs to external routers with support for bidirectional forwarding detection and VRF-aware routing. Alternatively, it can act as a Layer 2 network advertiser
Simplifies installation and lifecycle management by using custom resource definitions via a Kubernetes Operator.
Flux is a Kubernetes GitOps delivery tool used to automate application deployments by synchronizing cluster state with configurations stored in Git, OCI, or Helm repositories. It functions as a set of controllers that monitor desired state in external sources and continuously reconcile the live cluster to match those definitions. The system distinguishes itself through a multi-cluster management plane that coordinates application delivery across fleets of remote clusters from a central hub. It provides a dedicated mechanism for automated image updates, which scans container registries for new
Allows deployment and lifecycle management of the toolkit via the OperatorHub declarative API.
kube-prometheus is a monitoring stack deployment and orchestration framework. It uses an operator pattern to automate the installation and lifecycle management of Prometheus and Alertmanager via custom resource definitions. The project focuses on scaling data collection through hash-based target sharding and topology-aware distribution to reduce cross-zone traffic. It implements a sidecar-based configuration reloading mechanism and utilizes consistent hashing to distribute scrape targets across multiple instances. The system covers broad observability capabilities including metric data colle
Automates the deployment, scaling, and upgrading of monitoring stacks using the Kubernetes Operator pattern.
The Operator SDK is a framework for building, packaging, and managing custom controllers that extend the Kubernetes API. It serves as a toolset for defining new API types and implementing reconcile loops to automate the lifecycles of complex applications. The project provides specialized support for creating operators based on Helm charts or Ansible playbooks, allowing users to maintain a desired cluster state using existing automation tools. It includes a dedicated system for packaging controllers into standardized container image bundles for distribution via the Operator Lifecycle Manager.
Uses a lifecycle manager to automate the installation, updates, and dependency handling of operators.
Karmada ist ein Kubernetes-Multi-Cluster-Orchestrator und Multi-Cloud-Cluster-Manager für das Deployment und Management Cloud-nativer Anwendungen über mehrere Cluster und Cloud-Provider hinweg. Er fungiert als zentralisierte Control Plane, die als Ressourcen-Propagator und Workload-Scheduler arbeitet und Ressourcen über Public Clouds, On-Premises-Rechenzentren und Edge-Standorte hinweg koordiniert. Das Projekt zeichnet sich durch eine richtlinienbasierte Engine aus, die Anwendungen unter Verwendung von Affinity, Topologie-Constraints und Ressourcen-Quotas verteilt. Es bietet spezifische Funktionen für Multi-Region-Disaster-Recovery, einschließlich automatisiertem Application-Failover und geo-redundanten Deployments zur Aufrechterhaltung der Serviceverfügbarkeit. Zudem ermöglicht es cluster-bewusstes Ressourcen-Overriding, um Konfigurationsparameter basierend auf der Ziel-Cluster-Region oder dem Provider zu spezialisieren. Das System deckt ein breites Spektrum operativer Bereiche ab, einschließlich bidirektionaler State-Synchronisation, aggregiertem API-Proxying und mehrdimensionalem Scheduling. Es enthält Tools für Cluster-Lifecycle-Management, globale Ressourcensuche und Cross-Cluster-Traffic-Balancing. Installation und Management können über einen Operator-basierten Installationsprozess und ein dediziertes CLI für Administration und Control-Plane-Operationen durchgeführt werden.
Uses the Kubernetes Operator pattern to simplify the installation and lifecycle management of the orchestration system.
ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself
Provisions, updates, and deletes containerized pipeline services across various infrastructure backends while tracking operational status and health.
ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented
Automates the provisioning, updating, and health tracking of containerized pipeline services across infrastructure backends.
Der NGINX Ingress Controller ist ein Kubernetes-nativer Traffic-Manager, der externe Anfragen verarbeitet und an interne Dienste weiterleitet. Er übersetzt Kubernetes-API-Objekte und Annotationen in Proxy-Konfigurationen, um eingehenden HTTP-, TCP- und UDP-Traffic zu verwalten. Der Controller zeichnet sich durch fortschrittliche Traffic-Steuerung und Sicherheitsintegration aus. Er unterstützt Blue-Green- und Canary-Traffic-Splitting sowie inhaltsbasiertes und Regex-Pfad-Routing. Die Sicherheit wird am Edge durch eine Web Application Firewall, Schutz vor Denial-of-Service-Angriffen und eine Vielzahl von Authentifizierungsmethoden, einschließlich OpenID Connect und JSON Web Tokens, gewährleistet. Das Projekt bietet eine breite Palette an Funktionen, die TLS-Terminierung und -Passthrough, aktives Health-Monitoring von Upstream-Diensten und Sitzungspersistenz abdecken. Es enthält zudem Observability-Tools wie Prometheus-Metriken-Integration, Echtzeit-Traffic-Dashboards und verteiltes Request-Tracing. Die Installation wird durch Helm-Charts, einen Operator oder Standard-Container-Image-Deployments unterstützt.
The NGINX Ingress Controller automates installation and lifecycle management using an operator to simplify updates.
Seldon Core ist ein auf Kubernetes basierender Server für Machine-Learning-Modelle und ein MLOps-Inference-Framework. Es fungiert als Serving-Engine für mehrere Modelle und als Pipeline-Orchestrator, der Modelle als skalierbare Microservices verpackt, die über standardisierte REST- und gRPC-APIs bereitgestellt werden. Das Projekt zeichnet sich durch graphbasierte Inference-Pipelines aus, die Modelle und Datentransformatoren zu sequenziellen Workflows verketten. Es optimiert die Hardwareauslastung durch Shared-Serving für mehrere Modelle und Strategien für dynamisches Memory-Overcommit, während es gleichzeitig Produktionsexperimente durch gewichtetes Traffic-Routing, A/B-Tests und Shadow-Deployments unterstützt. Das Framework deckt ein breites Spektrum an MLOps-Funktionen ab, darunter bedarfsgesteuertes Autoscaling, asynchrone Request-Verarbeitung über Message-Busse sowie umfassendes Monitoring für Data Drift, Ausreißer und die Erklärbarkeit von Vorhersagen. Es bietet zudem Infrastrukturmanagement für die Konfiguration der Modell-Runtime und sichere Kommunikation mittels TLS-Verschlüsselung über Control- und Data-Planes hinweg.
Automates the installation and scaling of model servers using the Kubernetes Operator pattern.
Kubero is a self-hosted Platform as a Service (PaaS) that simplifies the deployment, scaling, and management of containerized applications on Kubernetes. It functions as an application manager, CI/CD orchestrator, and multi-tenant manager, allowing users to run workloads without writing manual configuration files. The platform distinguishes itself through automated image synthesis, transforming source code from Git repositories into deployable containers via buildpacks, Dockerfiles, or nixpacks. It implements a GitOps delivery model with automated pipelines that trigger builds on push events
Automates the deployment and configuration of supporting services like databases using Kubernetes operators.