Search Results for "kubernetes"
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Showing 50 open source projects for "kubernetes"
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1
Kubernetes Capsule
Multi-tenancy and policy-based framework for Kubernetes
Capsule implements a multi-tenant and policy-based environment in your Kubernetes cluster. It is designed as a micro-services-based ecosystem with a minimalist approach, leveraging only on upstream Kubernetes. Kubernetes introduces the Namespace object type to create logical partitions of the cluster as isolated slices. However, implementing advanced multi-tenancy scenarios, it soon becomes complicated because of the flat structure of Kubernetes namespaces and the impossibility to share resources among namespaces belonging to the same tenant. ... -
2
Crossplane Kubernetes
The Cloud Native Control Plane
...Upbound built Crossplane to help organizations build their platforms like the cloud vendors build theirs—with control planes. Crossplane is an open source, CNCF project built on the foundation of Kubernetes to orchestrate anything. Encapsulate policies, permissions, and other guardrails behind a custom API line to enable your customers to self-service without needing to become an infrastructure expert. Crossplane is designed from the ground up with extension in mind. 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. -
3
Spring Cloud Kubernetes
Kubernetes integration with Spring Cloud Discovery Client
Spring Cloud Kubernetes provides implementations of well known Spring Cloud interfaces allowing developers to build and run Spring Cloud applications on Kubernetes. While this project may be useful to you when building a cloud native application, it is also not a requirement in order to deploy a Spring Boot app on Kubernetes. If you are just getting started in your journey to running your Spring Boot app on Kubernetes you can accomplish a lot with nothing more than a basic Spring Boot app and Kubernetes itself. ... -
4
Elastic Cloud on Kubernetes (ECK)
Elastic Cloud on Kubernetes
Elastic Cloud on Kubernetes automates the deployment, provisioning, management, and orchestration of Elasticsearch, Kibana, APM Server, Enterprise Search, Beats, Elastic Agent, and Elastic Maps Server on Kubernetes based on the operator pattern. -
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5
Kubernetes Operator Pythonic Framework
A Python framework to write Kubernetes operators in just a few lines
Kopf —Kubernetes Operator Pythonic Framework— is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic). -
6
KOTS
KOTS provides the framework, tools and integrations
...The install command is the recommended way to learn KOTS. Executing the install command will install an application and the kotsadm Admin Console to an existing Kubernetes cluster. This command supports installing Helm charts (without Tiller), standard Kubernetes applications and also Replicated KOTS apps. -
7
Argo Workflows
Workflow engine for Kubernetes
Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition). Define workflows where each step in the workflow is a container. Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a directed acyclic graph (DAG). Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes. ... -
8
Kubeshark
The API traffic viewer for Kubernetes providing deep visibility
The API traffic viewer for Kubernetes providing deep visibility into all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. Think TCPDump and Wireshark re-invented for Kubernetes. Deep visibility and monitoring of all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. View all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. ... -
9
Inspektor Gadget
The eBPF tool and systems inspection framework for Kubernetes
Inspektor Gadget is a collection of tools (or gadgets) to debug and inspect Kubernetes resources and applications. It manages the packaging, deployment, and execution of eBPF programs in a Kubernetes cluster, including many based on BCC tools, as well as some developed specifically for use in Inspektor Gadget. It automatically maps low-level kernel primitives to high-level Kubernetes resources, making it easier and quicker to find the relevant information. -
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10
Kompose
Go from Docker Compose to Kubernetes
...kompose is a convenience tool to go from local Docker development to managing your application with Kubernetes. Transformation of the Docker Compose format to Kubernetes resources manifest may not be exact, but it helps tremendously when first deploying an application on Kubernetes. We have multiple ways to install Kompose. Our preferred method is downloading the binary from the latest GitHub release. -
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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.
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12
Operator Lifecycle Manager
A management framework for extending Kubernetes with Operators
This project is a component of the Operator Framework, an open source toolkit to manage Kubernetes native applications, called Operators, in an effective, automated, and scalable way. Read more in the introduction blog post and learn about practical use cases at the OLM website. OLM extends Kubernetes to provide a declarative way to install, manage, and upgrade Operators and their dependencies in a cluster. Kubernetes clusters are being kept up to date using elaborate update mechanisms today, more often automatically and in the background. ... -
13
Seldon Core
An MLOps framework to package, deploy, monitor and manage models
The de facto standard open-source platform for rapidly deploying machine learning models on Kubernetes. Seldon Core, our open-source framework, makes it easier and faster to deploy your machine learning models and experiments at scale on Kubernetes. Seldon Core serves models built in any open-source or commercial model building framework. You can make use of powerful Kubernetes features like custom resource definitions to manage model graphs. -
14
testkube
Kubernetes-native testing framework for test execution
Welcome to Testkube - Your friendly cloud-native testing framework for Kubernetes. Testkube natively integrates test orchestration and execution into Kubernetes and your CI/CD/GitOps pipeline. It decouples test artifacts and execution from CI/CD tooling; tests are meant to be part of your cluster's state and can be executed as needed. 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. ... -
15
KubeEdge
Kubernetes Native Edge Computing Framework (project under CNCF)
KubeEdge is built upon Kubernetes and extends native containerized application orchestration and device management to hosts at the Edge. It consists of a cloud part and an edge part, and provides core infrastructure support for networking, application deployment, and metadata synchronization between the cloud and edge. It also supports MQTT which enables edge devices to access through edge nodes. -
16
Terratest
Go library that makes it easier to write automated tests
...Undeploy everything at the end of the test. Write automated tests for infrastructure code, including the code you write for use with tools such as Terraform, Kubernetes, Docker, and Packer. This code is released under the Apache 2.0 License. -
17
Chaos Mesh
A Chaos Engineering Platform for Kubernetes
Chaos Mesh brings various types of fault simulation to Kubernetes and has an enormous capability to orchestrate fault scenarios. It helps you conveniently simulate various abnormalities that might occur in reality during the development, testing, and production environments and find potential problems in the system. Based on the principles of Chaos Engineering, Chaos Mesh abstracts real-world events into objects that can be directly applied, hiding the trivial details. -
18
Argo Events
Event-driven Automation Framework for Kubernetes
Argo Events is an event-driven workflow automation framework for Kubernetes. It allows you to trigger 10 different actions (such as the creation of Kubernetes objects, invoking workflows or serverless workloads) on over 20 different events (such as webhook, S3 drop, cron schedule, messaging queues - e.g. Kafka, GCP PubSub, SNS, SQS). -
19
Nuclio
High-Performance Serverless event and data processing platform
...Automated deployment to production in a few clicks from Jupyter notebook. Deploy one of the example serverless functions or write your own. The dashboard, when running outside an orchestration platform (e.g. Kubernetes or Swarm), will simply be deployed to the local docker daemon. The Getting Started With Nuclio On Kubernetes guide has a complete step-by-step guide to using Nuclio serverless functions over Kubernetes. -
20
OTOMI
Self-hosted DevOps Platform for Kubernetes
Otomi is an open source self-hosted PaaS to run on top of any Kubernetes cluster and is placed in the CNCF landscape under the PaaS/Container Service section. A PaaS attempts to connect many of the technologies found in the CNCF landscape in a way to provide direct value. Deploy containerized apps with a few click without writing any K8s YAML manifests. Get access to logs and metrics of deployed apps. -
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k3s in docker
Little helper to run CNCF's k3s in Docker
k3d is a lightweight wrapper to run k3s (Rancher Lab’s minimal Kubernetes distribution) in docker. k3d makes it very easy to create single- and multi-node k3s clusters in docker, e.g. for local development on Kubernetes. Note: k3d is a community-driven project but it’s not an official Rancher (SUSE) product. Sponsoring: To spend any significant amount of time improving k3d, we rely on sponsorships. k3d creates containerized k3s clusters. -
22
Pachyderm
Data-Centric Pipelines and Data Versioning
Data-driven pipelines automatically trigger based on detecting data changes. Automatic immutable data lineage and data versioning of all data types. Autoscaling and parallel processing built on Kubernetes for resource orchestration. Uses standard object stores for data storage with automatic deduplication. Runs across all major cloud providers and on-premises installations. Automatic and intelligent versioning of even the largest data sets of unstructured and structured data. Git-like structure enables effective team collaboration. ... -
23
MinIO Client Quickstart Guide
Fast tool to manage MinIO clusters
...MinIO is built to deploy anywhere - public or private cloud, bare metal infrastructure, orchestrated environments, and edge infrastructure. This procedure deploys a Single-Node Single-Drive MinIO server onto Kubernetes for early development and evaluation of MinIO Object Storage and its S3-compatible API layer. An existing Kubernetes deployment where at least one Worker Node has a locally-attached drive. -
24
ko Easy Go Containers
Build and deploy Go applications on Kubernetes
...This can make it a good fit for lightweight CI/CD use cases. ko makes multi-platform builds easy, produces SBOMs by default, and includes support for simple YAML templating which makes it a powerful tool for Kubernetes applications. -
25
BentoML
Unified Model Serving Framework
...Parallelize compute-intense model inference workloads to scale separately from the serving logic. Adaptive batching dynamically groups inference requests for optimal performance. Orchestrate distributed inference graph with multiple models via Yatai on Kubernetes. Easily configure CUDA dependencies for running inference with GPU. Automatically generate docker images for production deployment.
