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...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. With KEDA you can explicitly map the apps you want to use event-driven scale, with other apps continuing to function. This makes KEDA a flexible and safe option to run alongside any number of other Kubernetes applications or frameworks.

Scheduling in Kubernetes is the process of binding pending pods to nodes, and is performed by a component of Kubernetes called kube-scheduler. The scheduler's decisions, whether or where a pod can or can not be scheduled, are guided by its configurable policy which comprises of set of rules, called predicates and priorities. The scheduler's decisions are influenced by its view of a Kubernetes cluster at that point of time when a new pod appears for scheduling.

The Trivy Operator leverages Trivy to continuously scan your Kubernetes cluster for security issues. The scans are summarised in security reports as Kubernetes Custom Resource Definitions, which become accessible through the Kubernetes API. The Operator does this by watching Kubernetes for state changes and automatically triggering security scans in response. For example, a vulnerability scan is initiated when a new Pod is created. This way, users can find and view the risks that relate to...

...Deckhouse has vanilla Kubernetes under the hood and integrates a balanced set of Open Source tools that have become the industry standard. Out-of-the-box secure configuration of the Kubernetes cluster, least component privileges, pre-configured role model, end-to-end object identity in the audit system, and integration with external directory services. Built-in implementation of Pod Security Standards and a ready-to-use, extensible set of recommended policies. Deckhouse automates many routine deployment, scaling, and infrastructure management operations out of the box. ...

OpenKruise is an extended component suite for Kubernetes, which mainly focuses on automated management of large-scale applications, such as deployment, upgrade, ops, and availability protection. Most features provided by OpenKruise are built primarily based on CRD extensions. They can work in pure Kubernetes clusters without any other dependencies. Kubernetes itself has already provided some features for application deployment and management, such as some basic Workloads.

As one standalone component of Microsoft OpenPAI, FrameworkController (FC) is built to orchestrate all kinds of applications on Kubernetes by a single controller, especially for DeepLearning applications. In the open source community, there are so many specialized Kubernetes Pod controllers which are built for a specific kind of application, such as Kubernetes StatefulSet Controller, Kubernetes Job Controller, KubeFlow TensorFlow Operator, KubeFlow PyTorch Operator.

kata-runtime, referred to as "the runtime", is the Command-Line Interface (CLI) part of the Kata Containers runtime component. It leverages the virtcontainers package to provide a high-performance standards-compliant runtime that creates hardware-virtualized Linux containers running on Linux hosts. The runtime is OCI-compatible, CRI-O-compatible, and Containerd-compatible, allowing it to work seamlessly with both Docker and Kubernetes respectively.

...It aim is to act as Docker orchestrator for IoT devices as well as for distributed services such as CDN or edge computing that can span thousands (possibly even millions) of devices worldwide and it does it all while being open-source and completely free. Nebula imposes no limits on the scale of the cluster, each component in it is designed to scale out to allow millions of workers to be managed by it. Designed to connect to devices that are spread around the globe Nebula is tolerant of network connection issues and will resync the device when it reconnects. With a single API call you can deploy a new container version to managed devices around the globe in minutes.

Nebula is a open source distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking affect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe, some example use cases are IoT devices, appliances\virtual appliances located at clients data centers, and edge computing. Nebula imposes no limits on the scale of the cluster, each component in it is designed to scale out to allow millions of workers to be managed by it. Designed to connect to devices that are spread around the globe Nebula is tolerant of network connection issues and will resync the device when it reconnects. With a single API call you can deploy a new container version to managed devices around the globe in minutes.

...The tests allow developers to debug components either as pure java codes or packaged into docker containers. Fully tested docker images may be uploaded and executed in the online platform without any modifications. Please find the basic benchmark component implementations in the sources folder. You may extend the components with logic of your benchmark and debug the components as pure java codes by running the make test-benchmark command or execute checkHealth() method from ExampleBenchmarkTest) in IDE. You may specify input parameters models for benchmark and system you are running.

Deis Workflow is an open source Platform as a Service (PaaS) that adds a developer-friendly layer to any Kubernetes cluster, making it easy to deploy and manage applications. The Deis project welcomes contributions from all developers. The high-level process for development matches many other open-source projects.