Search Results for "design"
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Showing 12 open source projects for "design"
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meshery
Meshery, the cloud native manager
...Meshery's Kubernetes-native approach means you can easily incorporate Meshery into your existing workflow without additional setup or integration effort. A self-service engineering platform, Meshery, is the open source, cloud-native manager that enables the design and management of all Kubernetes-based infrastructure and applications. Among other features, As an extensible platform, Meshery offers visual and collaborative GitOps, freeing you from the chains of YAML while managing Kubernetes multi-cluster deployments. -
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PaaSTA
An open, distributed platform as a service
...It was originally designed to run on top of Apache Mesos but has subsequently been updated to use Kubernetes. Over time the features and functionality that PaaSTA provides have increased but the principal design remains the same. PaaSTA aims to take a declarative description of the services that teams need to run and then ensures that those services are deployed safely, efficiently, and in a manner that is easy for the teams to maintain. Rather than managing Kubernetes YAML files, PaaSTA provides a simplified schema to describe your service and in addition to configuring Kubernetes it can also configure other infrastructure tools to provide monitoring, logging, cost management etc. -
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LINKERD
Ultralight, security-first service mesh for Kubernetes
Enterprise power without enterprise complexity. Linkerd adds security, observability, and reliability to any Kubernetes cluster. 100% open source, CNCF graduated, and written in Rust. Instantly add latency-aware load balancing, request retries, timeouts, and blue-green deploys to keep your applications resilient. Incredibly small and blazing fast Linkerd2-proxy micro-proxy written in Rust for security and performance. Self-contained control plane, incrementally deployable data plane, and... -
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NVIDIA AI Cluster Runtime (AICR)
Tooling for optimized and reproducible GPU-accelerated AI runtime
NVIDIA AI Cluster Runtime (AICR) is an emerging project within NVIDIA’s AI infrastructure ecosystem focused on enabling advanced AI compute and runtime workflows, though publicly available documentation remains limited. Based on its positioning within NVIDIA’s repositories, it is designed to support scalable AI runtime environments, potentially addressing challenges related to orchestration, resource management, or reproducible AI execution. The project likely aligns with NVIDIA’s broader... -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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5
OpenYurt
Extending your native Kubernetes to edge(project under CNCF)
...OpenYurt preserves intact Kubernetes API compatibility, is vendor agnostic, and more importantly, is SIMPLE to use. OpenYurt follows a classic cloud-edge architecture design. It uses a centralized Kubernetes control plane residing in the cloud site to manage multiple edge nodes residing in the edge sites. -
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k0s
k0s - The Zero Friction Kubernetes
k0s is an all-inclusive Kubernetes distribution, which is configured with all of the features needed to build a Kubernetes cluster and packaged as a single binary for ease of use. k0s fits well in any cloud environment, but can also be used in IoT gateways, Edge and Bare metal deployments due to its simple design, flexible deployment options and modest system requirements. -
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Kubernetes Handbook
Cloud native application architecture practice handbook
Cloud native is a behavioral method and design concept. In its essence, all behaviors or methods that can improve resource utilization and application delivery efficiency on the cloud are cloud-native. The history of cloud computing is a history of cloud native. Kubernetes opened the prelude to cloud native 1.0. The emergence of service mesh Istio led to microservices in the post-Kubernetes era. -
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clean-architecture-dotnet
Yet Another .NET Clean Architecture
Yet Another .NET Clean Architecture, but for a Microservices project. It uses Minimal Clean Architecture with DDD-lite, CQRS-lite, and just enough Cloud-native patterns applied on the simple eCommerce sample and run on Tye with Dapr extension. -
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Open Application Model
Open Application Model (OAM)
Open Application Model (OAM) is a set of standard yet higher-level abstractions for modeling cloud-native applications on top of today's hybrid and multi-cloud environments. Focused on application rather than container or orchestrator, Open Application Model brings modular, extensible, and portable design for defining application deployment with higher level API. This is the key to enabling simple, consistent yet robust application delivery across hybrid environments including Kubernetes, cloud, or even IoT devices. -
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10
lastbackend
System for containerized apps management, from build to scaling
...It contains a set of technologies like container scheduling, service discovery, overlay network, container runtime, container images runtime, load-balancing and more. All of these technologies are provided out of the box and don't require additional research and setup. Our design principles allow us to create an extendable and powerful system. We separated runtime into the particular package and used interfaces to add the ability to extend supported technologies. -
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lmctfy
lmctfy is the open source version of Google’s container stack
...Although it has since been archived in favor of the broader ecosystem, the code remains a reference for how to map kernel primitives to service-oriented container management. Its design encouraged explicit ownership of resources and stable container identities, which simplified monitoring and policy enforcement. Engineers studying container history use it to understand early patterns that informed today’s runtimes. -
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Novm
Experimental KVM-based VMM for containers, written in Go
novm is an experimental, minimalist virtual machine monitor that explores running Linux guests with a streamlined user-space control plane. Its goal is fast, scriptable VM lifecycle management—boot, snapshot, pause, resume—without the heft of a full cloud stack. The design favors small, understandable code paths around KVM and tap networking so developers can reason about isolation and performance trade-offs. It showcases patterns like process-per-VM supervision, concise configuration, and direct mapping of devices needed for common development workloads. As a research vehicle, novm emphasizes hackability over feature completeness, making it useful for instrumentation experiments, educational deep dives, or bespoke CI sandboxes. ...
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