Search Results for "x-plane"
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Showing 58 open source projects for "x-plane"
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AWS App Mesh Controller For K8s
A controller to help manage App Mesh resources for Kubernetes cluster
...The controller maintains the custom resources (CRDs): meshes, virtual nodes, virtual routers, virtual services, virtual gateways, and gateway routes. The custom resources map to App Mesh API objects. AppMesh controller supports monitoring the control plane with Prometheus and Grafana. AppMesh controller supports integration with multiple tracing solutions for data plane. AppMesh limits pod count per virtualNode. By default the limit is 10. When working against the App Mesh Preview environment, the preview SDK models are downloaded and used to generate the AWS SDK for Go dynamically. -
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kube-vip
Kubernetes Control Plane Virtual IP and Load-Balancer
kube-vip provides Kubernetes clusters with a virtual IP and load balancer for both the control plane (for building a highly-available cluster) and Kubernetes Services of type LoadBalancer without relying on any external hardware or software. ARP is a layer 2 protocol that is used to inform the network of the location of a new address. When a new IP address is configured to a device, there needs to be a mechanism to inform the network of which piece of hardware is hosting this new address. ... -
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Crossplane Kubernetes
The Cloud Native Control Plane
...From Providers that extend Crossplane to orchestrate new kinds of applications and infrastructure, to Configurations that extend Crossplane to expose new APIs, our community will help you find what you need to build your ideal control plane. -
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Jenkins X CLI
Jenkins X provides automated CI+CD for Kubernetes
Jenkins X automatically spins up Preview Environments for your pull requests so you can get fast feedback before changes are merged to the main branch. Jenkins X automatically comments on your Commits, Issues and pull requests with feedback as code is ready to be previewed, is promoted to environments or if pull requests are generated automatically to upgrade versions. -
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5
Kuma
The multi-zone service mesh for containers, Kubernetes and VMs
Kuma is a modern Envoy-based service mesh that can run on every cloud, in a single or multi-zone capacity, across both Kubernetes and VMs. Thanks to its broad universal workload support, combined with native support for Envoy as its data plane proxy technology (but with no Envoy expertise required), Kuma provides modern L4-L7 service connectivity, discovery, security, observability, routing, and more across any service on any platform, databases included. Easy to use, with built-in service mesh policies for security, traffic control, discovery, observability, and more, Kuma ships with advanced multi-zone and multi-mesh support that automatically enables cross-zone communication across different clusters and clouds, and automatically propagates service mesh policies across the infrastructure. ... -
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Contour Kubernetes
Contour is a Kubernetes ingress controller using Envoy proxy
Contour is an open source Kubernetes ingress controller providing the control plane for the Envoy edge and service proxy. Contour supports dynamic configuration updates and multi-team ingress delegation out of the box while maintaining a lightweight profile. Quickly deploy cloud-native applications using the flexible and innovative HTTPProxy API. Update Envoy configurations as the ingress and underlying elements change, without restarting the load balancer. -
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AWS X-Ray SDK for Go
AWS X-Ray SDK for the Go programming language
AWS X-Ray recommends using AWS Distro for OpenTelemetry (ADOT) to instrument your application instead of this X-Ray SDK due to its wider range of features and instrumentations. See the AWS X-Ray docs on Working with Go for more help with choosing between ADOT and X-Ray SDK. Install the SDK using the following command (The SDK's non-testing dependencies will be installed): Use go get to retrieve the SDK to add it to your GOPATH workspace. -
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LINKERD
Ultralight, security-first service mesh for Kubernetes
...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 lots and lots of diagnostics and debugging tools. Transparently add mutual TLS to any on-cluster TCP communication with no configuration. Designed by engineers, for engineers. -
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AWS X-Ray Daemon
The AWS X-Ray daemon listens for traffic on UDP port 2000
The AWS X-Ray daemon listens for traffic on UDP port 2000, gathers raw segment data, and relays it to the AWS X-Ray API. The daemon works in conjunction with the AWS X-Ray SDKs and must be running so that data sent by the SDKs can reach the X-Ray service. The X-Ray SDK sends segment documents to the daemon to avoid making calls to AWS directly. -
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Prometheus Redis Metrics Exporter
Prometheus Exporter for Redis Metrics. Supports Redis 2.x, 3.x, 4.x, 5
Prometheus exporter for Redis metrics. Supports Redis 2.x, 3.x, 4.x, 5.x, 6.x, and 7.x. To have instances in the drop-down as human readable names rather than IPs, it is suggested to use instance relabelling. The Prometheus docs have a very informative article on how multi-target exporters are intended to work. Run the exporter with the command line flag --redis.addr= so it won't try to access the local instance every time the /metrics endpoint is scraped. ... -
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kcp Kubernetes
Kubernetes-like control planes for form-factors
kcp can be a building block for SaaS service providers who need a massively multi-tenant platform to offer services to a large number of fully isolated tenants using Kubernetes-native APIs. The goal is to be useful to cloud providers as well as enterprise IT departments offering APIs within their company. kcp takes full advantage of Kubernetes API conventions, the glue that binds the cloud-native technology ecosystem together and imbues Kubernetes popular end-user experience, but kcp has... -
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Sensu Go
Simple. Scalable. Multi-cloud monitoring
...The shift from static to dynamic infrastructure requires a change in approach to monitoring, from host-based to functional role-based. Connectivity moves from remote polling to publish-subscribe, the control plane moves from point-and-click interfaces to infrastructure as code workflows and self-service developer APIs. -
13
OpenChoreo
OpenChoreo is an open-source internal developer platform (IDP)
OpenChoreo is an open-source internal developer platform (IDP) that simplifies how organizations operate on Kubernetes by abstracting infrastructure complexity into higher-level, reusable constructs. It provides a unified control plane that sits on top of one or more Kubernetes clusters, enabling platform engineers to define and enforce standards while giving application developers self-service workflows for building, deploying, and managing cloud-native applications. Concepts such as Projects, Components, Environments, and Cells let teams define applications in business-aligned terms rather than low-level Kubernetes primitives, improving clarity and productivity across the software lifecycle. ... -
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testkube
Kubernetes-native testing framework for test execution
...Out-of-the-box integrations with all popular testing tools and CI/CD systems mean no custom scripts are required to orchestrate your tests from any CI/CD/GitOps pipeline. The central dashboard and control plane let you configure, orchestrate & schedule your tests, share & analyze test results & artifacts, manage users & permissions, and more. Testkube uses Kubernetes-native constructs to store and run your test definitions ensuring compatibility, security, and scalability for all your testing needs. Advanced test orchestration functionality enables you to parameterize and parallelize your load, API, and UI tests to simulate real-life usage scenarios. -
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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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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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Deckhouse
Kubernetes platform from Flant
...Deckhouse automates many routine deployment, scaling, and infrastructure management operations out of the box. It manages system software on the nodes (kernel, CRI, kubelet), basic Kubernetes components (control plane, etc, certificates, etc.). -
18
amazon-vpc-resource-controller-k8s
Controller for managing Trunk & Branch Network Interfaces on EKS
Controller for managing Trunk & Branch Network Interfaces on EKS Cluster using Security Group For Pod feature and IPv4 Addresses for Windows Node. Controller running on EKS Control Plane for managing Branch & Trunk Network Interface for Kubernetes Pod using the Security Group for Pod feature and IPv4 Address Management(IPAM) of Windows Nodes. The controller only manages the Trunk/Branch Network Interface for EKS Cluster using the Security Group for Pods feature. The Networking on the host is set up by the amazon-vpc-cni-k8s plugin. ... -
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A QUIC implementation in pure Go
A QUIC implementation in pure go
...In addition to RFC 9000, it currently implements the IETF QUIC draft-29. Support for draft-29 will eventually be dropped, as it is phased out of the ecosystem. We currently support Go 1.16.x and Go 1.17.x. See the example server. Starting a QUIC server is very similar to the standard lib http in go. Also, check out the example client. Use a http3.RoundTripper as a Transport in a http.Client. QUIC includes security measures that ensure confidentiality, integrity, and availability in a range of deployment circumstances. ... -
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Micro Cloud
A distributed OS built for the Cloud
Micro addresses the key requirements for building services in the cloud. It leverages the microservices architecture pattern and provides a set of services which act as the building blocks of a platform. Micro deals with the complexity of distributed systems and provides simpler programmable abstractions to build on. Micro is the all encompassing end to end platform experience from source to running and beyond built with a developer first focus. Micro’s goal is to abstract away the... -
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3X-UI
Xray panel supporting multi-protocol multi-user expire day
...It offers a user-friendly interface for configuring and monitoring various VPN and proxy protocols. As an enhanced fork of the original X-UI project, 3X-UI provides improved stability, broader protocol support, and additional features. -
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git-bug
Distributed, offline-first bug tracker embedded in git, with bridges
git-bug is fully embedded in git, you only need your git repository to have a bug tracker. git-bug is distributed. Use your normal git remote to collaborate, push and pull your bugs! git-bug works offline, in a plane or under the sea? Keep reading and writing bugs! It prevents vendor lock-in: your usual service is down or went bad? You already have a full backup. It is fast, listing bugs or opening them is a matter of milliseconds. git-bug doesn't pollute your project, no files are added in your project. git-bug integrates with your tooling, use the UI you like (CLI, terminal, web) or integrate with your existing tools through the CLI or the GraphQL API. git-bug bridges to other bug trackers. ... -
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PipeCD
The One CD for All {applications, platforms, operations}
...Support multiple application kinds on multi-cloud including Kubernetes, Terraform, Cloud Run, AWS Lambda, Amazon ECS. Support multiple analysis providers including Prometheus, Datadog, Stackdriver, and more. Easy to operate multi-cluster, multi-tenancy by separating control-plane and piped. -
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AWS Node Termination Handler
Gracefully handle EC2 instance shutdown within Kubernetes
This project ensures that the Kubernetes control plane responds appropriately to events that can cause your EC2 instance to become unavailable, such as EC2 maintenance events, EC2 Spot interruptions, ASG Scale-In, ASG AZ Rebalance, and EC2 Instance Termination via the API or Console. If not handled, your application code may not stop gracefully, take longer to recover full availability, or accidentally schedule work to nodes that are going down. -
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Amazon ECS Container Agent
Amazon Elastic Container Service Agent
...Launch thousands of containers across the cloud using your preferred continuous integration and delivery (CI/CD) and automation tools. Optimize your time with AWS Fargate serverless compute for containers, which eliminates the need to configure and manage control plane, nodes, and instances. Save up to 50 percent on compute costs with autonomous provisioning, auto-scaling, and pay-as-you-go pricing. Integrate seamlessly with AWS management and governance solutions, standardized for compliance with virtually every regulatory agency around the globe. Amazon ECS is a fully managed container orchestration service that makes it easy for you to deploy, manage, and scale containerized applications. ...
