Search Results for "qt-based"
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Showing 70 open source projects for "qt-based"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Harbor
An open source trusted cloud native registry project that stores
Harbor is an open-source trusted cloud native registry project that stores, signs, and scans content. Harbor extends the open-source Docker Distribution by adding the functionalities usually required by users such as security, identity and management. Having a registry closer to the build-and-run environment can improve the image transfer efficiency. Harbor supports replication of images between registries, and also offers advanced security features such as user management, access control... -
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Envoy Gateway
Manages Envoy Proxy as a Standalone or Kubernetes-based Gateway
Envoy Gateway is an open source project for managing Envoy Proxy as a standalone or Kubernetes-based application gateway. Based on Gateway API, with reasonable default settings to simplify the Envoy user experience, without knowing details of Envoy proxy. Automatically Envoy infrastructure provisioning and management. Support for heterogeneous environments. Initially, Kubernetes will receive the most focus. Vendors will have the ability to provide value-added products built on the Envoy Gateway foundation. ... -
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Tilt
Define dev environment as code for microservice apps on Kubernetes
A toolkit for fixing the pains of microservice development. Understand & orchestrate your services, work smarter & faster wherever you are, and team-based productivity. See all the pieces of your app, and trigger custom workflows like seeding databases or creating infrastructure. Our engine starts the whole app and runs automated rebuilds as you edit in your IDE. Get a continuous feedback loop with your logs, broken builds, and runtime errors. Work with Kubernetes without needing to be an expert. ... -
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JAX Toolbox
Public CI, Docker images for popular JAX libraries
...Its integration with container-based workflows makes it suitable for reproducible experiments and scalable deployments across different environments. -
Application Monitoring That Won't Slow Your App DownFull APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
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Kepler
Kepler (Kubernetes-based Efficient Power Level Exporter)
Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics. -
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External Secrets
External Secrets Operator reads information from a third-party service
...The operator reads information from external APIs and automatically injects the values into a Kubernetes Secret. Multiple people and organizations are joining efforts to create a single External Secrets solution based on existing projects. If you are curious about the origins of this project, check out this issue and this PR. -
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gVisor
Application Kernel for Containers
gVisor is an application kernel developed by Google that provides a strong layer of isolation between applications and the host operating system. Written in Go, it implements a Linux-compatible system call interface that runs entirely in user space, creating a secure sandboxed environment for containers. Unlike traditional virtual machines or lightweight syscall filters, gVisor follows a third approach that offers many of the security benefits of virtualization while maintaining the speed,... -
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GoDoxy
High-performance reverse proxy and container orchestrator
GoDoxy is a high-performance reverse proxy and container orchestrator tailored for self-hosting environments, blending automated routing with a user-friendly web interface and advanced traffic control. Written in Go, it automatically discovers services (like Docker containers) and generates routes based on configuration or container labels, letting you expose and secure apps with minimal manual routing. GoDoxy includes features like ACL control, automatic SSL certificate management with Let’s Encrypt, support for HTTP, TCP/UDP forwarding, and integration points for OpenID Connect authentication and forward auth, making it highly versatile for modern home labs and self-hosted stacks. ... -
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Robusta KRR
Prometheus-based Kubernetes Resource Recommendations
Robusta KRR (Kubernetes Resource Recommender) is a CLI tool for optimizing resource allocation in Kubernetes clusters. It gathers pod usage data from Prometheus and recommends requests and limits for CPU and memory. This reduces costs and improves performance. -
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Actions Runner Controller (ARC)
Kubernetes controller for GitHub Actions self-hosted runners
Actions Runner Controller (ARC) is a Kubernetes operator that orchestrates and scales self-hosted runners for GitHub Actions. With ARC, you can create runner scale sets that automatically scale based on the number of workflows running in your repository, organization, or enterprise. Because controlled runners can be ephemeral and based on containers, new runner instances can scale up or down rapidly and cleanly. You can set up ARC on Kubernetes using Helm, then create and run a workflow that uses runner scale sets. -
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Kueue
Kubernetes-native Job Queueing
...It is a job-level manager that decides when a job should be admitted to start (as in pods can be created) and when it should stop (as in active pods should be deleted). Use Kueue to build a multi-tenant batch service with quotas and a hierarchy for sharing resources among teams in your organization. Based on the available quotas, Kueue decides when jobs should wait and when and where they should run. Kueue works in combination with standard kube-scheduler, cluster-autoscaler, and the rest of the Kubernetes ecosystem. This combination allows Kueue to run both on-prem and in the cloud, where resources can be heterogeneous, fungible, and dynamically provisioned. -
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kube2iam
Provides different AWS IAM roles for pods running on Kubernetes
...The problem is that in a multi-tenanted containers based world, multiple containers will be sharing the underlying nodes. Given containers will share the same underlying nodes, providing access to AWS resources via IAM roles would mean that one needs to create an IAM role which is a union of all IAM roles. This is not acceptable from a security perspective. -
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Kubernetes Handbook
Cloud native application architecture practice handbook
...The rise of serverless has enabled cloud native to advance from the infrastructure layer to the application architecture layer. We are in a cloud native The new era of 2.0. Kubernetes is a container orchestration and scheduling engine developed by Google in June 2014 based on its internal Borg system. Google contributed it as an initial and core project to the CNCF (Cloud Native Computing Foundation). In recent years, it has gradually developed a cloud native Ecology. The goal of Kubernetes is to provide a specification to describe the architecture of the cluster. -
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Kube-OVN
A Bridge between SDN and Cloud Native (Project under CNCF)
If you miss the good old days of SDN, then Kube-OVN is your choice in Cloud Native era. Kube-OVN, a CNCF Sandbox Level Project, integrates the OVN-based Network Virtualization with Kubernetes. It offers an advanced Container Network Fabric for Enterprises with the most functions, extreme performance and the easiest operation. Each Namespace can have a unique Subnet (backed by a Logical Switch). Pods within the Namespace will have IP addresses allocated from the Subnet. It's also possible for multiple Namespaces to share a Subnet. -
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A Kubernetes Native Java stack tailored for OpenJDK HotSpot and GraalVM, crafted from the best-of-breed Java libraries and standards. Quarkus tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near-instant scale-up and high-density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile-time boot. Combine both the familiar imperative code and the reactive...
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KEDA
KEDA is a Kubernetes-based Event Driven Autoscaling component
KEDA is a Kubernetes-based Event Driven Autoscaler. With KEDA, you can drive the scaling of any container in Kubernetes based on the number of events needing to be processed. KEDA is a single-purpose and lightweight component that can be added to any Kubernetes cluster. KEDA works alongside standard Kubernetes components like the Horizontal Pod Autoscaler and can extend functionality without overwriting or duplication. -
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OptScale
FinOps and MLOps platform to run ML/AI and regular cloud workloads
...OptScale MLOps capabilities include ML model leaderboards, performance bottleneck identification and optimization, bulk run of ML/AI experiments, experiment tracking, and more. The solution enables ML/AI engineers to run automated experiments based on datasets and hyperparameter conditions within the defined infrastructure budget. Certified FinOps solution with the best cloud cost optimization engine, providing rightsizing recommendations, Reserved Instances/Savings Plans, and dozens of other optimization scenarios. With OptScale, users get complete cloud resource usage transparency, anomaly detection, and extensive functionality to avoid budget overruns. -
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NVIDIA GPU Operator
NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
...The NVIDIA GPU Operator uses the operator framework within Kubernetes to automate the management of all NVIDIA software components needed to provision GPU. These components include the NVIDIA drivers (to enable CUDA), Kubernetes device plugin for GPUs, the NVIDIA Container Runtime, automatic node labeling, DCGM-based monitoring, and others. -
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Factory
A new approach to Container-Based Dependency Injection for Swift
A new approach to Container-Based Dependency Injection for Swift and SwiftUI. Factory is strongly influenced by SwiftUI, and in my opinion is highly suited for use in that environment. Most container-based dependency injection systems require you to define in some way that a given service type is available for injection and many require some sort of factory or mechanism that will provide a new instance of the service when needed. -
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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 strategy of building modular infrastructure layers that integrate with GPU-accelerated workloads and cloud-native systems. ... -
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KServe
Standardized Serverless ML Inference Platform on Kubernetes
KServe provides a Kubernetes Custom Resource Definition for serving machine learning (ML) models on arbitrary frameworks. It aims to solve production model serving use cases by providing performant, high abstraction interfaces for common ML frameworks like Tensorflow, XGBoost, ScikitLearn, PyTorch, and ONNX. It encapsulates the complexity of autoscaling, networking, health checking, and server configuration to bring cutting edge serving features like GPU Autoscaling, Scale to Zero, and... -
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loxilb
eBPF based cloud-native load-balancer
loxilb is an open source cloud-native load-balancer based on GoLang/eBPF with the goal of achieving cross-compatibility across a wide range of on-prem, public-cloud or hybrid K8s environments. Kubernetes defines many service constructs like cluster-ip, node-port, load-balancer etc for pod-to-pod, pod-to-service, and service from outside communication. All these services are provided by load balancers/proxies operating at Layer4/Layer7. -
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cri-dockerd
dockerd as a compliant Container Runtime Interface for Kubernetes
...For Mirantis customers, that means that Docker Engine’s commercially supported version, Mirantis Container Runtime (MCR), will be CRI compliant. This means that you can continue to build Kubernetes based on the Docker Engine as before, just switching from the built-in docker shim to the external one. Mirantis and Docker intend to work together to make sure it continues to work as well as before and that it passes all the conformance tests and continues to work just like the built-in version did. Mirantis will be using this in Mirantis Kubernetes Engine, and Docker will continue to ship this shim in Docker Desktop. -
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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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Moby
Project for the container ecosystem to assemble containe-based systems
An open framework to assemble specialized container systems without reinventing the wheel. Moby is an open framework created by Docker to assemble specialized container systems without reinventing the wheel. It provides a “lego set” of dozens of standard components and a framework for assembling them into custom platforms. At the core of Moby is a framework to assemble specialized container systems which provides a library of containerized components for all vital aspects of a container...
