Search Results for "operator"
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Showing 384 open source projects for "operator"
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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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Prometheus Operator
Prometheus Operator creates/configures/manages Prometheus clusters
The API, spec, status and other user facing objects may change, but in a backward-compatible way. The Prometheus Operator provides Kubernetes native deployment and management of Prometheus and related monitoring components. The purpose of this project is to simplify and automate the configuration of a Prometheus-based monitoring stack for Kubernetes clusters. Kubernetes Custom Resources: Use Kubernetes custom resources to deploy and manage Prometheus, Alertmanager, and related components. ... -
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Trivy Operator
Kubernetes-native security toolkit
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. -
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Logging operator
Logging operator for Kubernetes
The Logging operator solves your logging-related problems in Kubernetes environments by automating the deployment and configuration of a Kubernetes logging pipeline. The Logging operator manages the log collectors and log forwarders of your logging infrastructure, and the routing rules that specify where you want to send your different log messages. -
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The Operator Splitting QP Solver
The Operator Splitting QP Solver
OSQP uses a specialized ADMM-based first-order method with custom sparse linear algebra routines that exploit structure in problem data. The algorithm is absolutely division-free after the setup and it requires no assumptions on problem data (the problem only needs to be convex). It just works. OSQP has an easy interface to generate customized embeddable C code with no memory manager required. OSQP supports many interfaces including C/C++, Fortran, Matlab, Python, R, Julia, Rust. -
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Grafana Operator
An operator for Grafana that installs and manages Grafana instances
The Grafana Operator is a Kubernetes operator built to help you manage your Grafana instances and its resources in and outside of Kubernetes. Whether you’re running one Grafana instance or many, the Grafana Operator simplifies the processes of installing, configuring, and maintaining Grafana and its resources. Additionally, it's perfect for those who prefer to manage resources using infrastructure as code or using GitOps workflows through tools like ArgoCD and Flux CD. -
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MinIO Operator
Simple Kubernetes Operator for MinIO clusters
...The MinIO Operator installs and configures the Console for each tenant by default. Administrators of MinIO Tenants can perform a variety of tasks through the Console, including user creation, policy configuration, and bucket replication. The Console also provides a high level view of Tenant health, usage, and healing status. -
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AWX Operator
An Ansible AWX operator for Kubernetes built with Operator SDK
An Ansible AWX operator for Kubernetes built with Operator SDK and Ansible. -
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TiDB Operator
TiDB operator creates and manages TiDB clusters running in Kubernetes
Using TiDB Operator provided by PingCAP, you can run and maintain TiDB seamlessly on the Kubernetes clusters deployed on a public cloud or in a self-hosted environment. TiDB Operator empowers TiDB with horizontal scalability on the cloud. Gracefully perform rolling updates for the TiDB cluster in order, achieving zero-downtime of the TiDB cluster. -
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inlets-operator
Get public TCP LoadBalancers for local Kubernetes clusters
...When using a managed Kubernetes engine, you can expose a Service as a "LoadBalancer" and your cloud provider will provision a TCP cloud load balancer for you, and start routing traffic to the selected service inside your cluster. In other words, you get ingress to an otherwise internal service. The inlets-operator brings that same experience to your local Kubernetes cluster by provisioning a VM on the public cloud and running an inlets server process there. Within the cluster, it runs the inlets client as a Deployment, and once the two are connected, it updates the original service with the IP, just like a managed Kubernetes engine. -
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10
Shell-operator
A tool for running event-driven scripts in Kubernetes
Shell-operator is a tool for running event-driven scripts in a Kubernetes cluster. This operator is not an operator for a particular software product such as Prometheus-operator or Kafka-operator. Shell-operator provides an integration layer between Kubernetes cluster events and shell scripts by treating scripts as hooks triggered by events. Think of it as an operator-sdk but for scripts. -
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Postgres Operator
Postgres operator creates and manages PostgreSQL clusters
The Postgres Operator delivers easy-to-run highly available PostgreSQL clusters on Kubernetes (K8s) powered by Patroni. It is configured only through Postgres manifests (CRDs) to ease integration into automated CI/CD pipelines with no access to Kubernetes API directly, promoting infrastructure as code vs manual operations. -
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Operator SDK
SDK for building Kubernetes applications. Provides high level APIs
The Operator SDK makes it easier to build Kubernetes native applications, a process that can require deep, application-specific operational knowledge. The Operator SDK provides the tools to build, test, and package Operators. Initially, the SDK facilitates the marriage of an application’s business logic (for example, how to scale, upgrade, or backup) with the Kubernetes API to execute those operations. -
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Kubeflow Training Operator
Distributed ML Training and Fine-Tuning on Kubernetes
Kubeflow Training Operator is a Kubernetes-native project for fine-tuning and scalable distributed training of machine learning (ML) models created with various ML frameworks such as PyTorch, TensorFlow, XGBoost, MPI, Paddle, and others. -
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NVIDIA GPU Operator
NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
...However, configuring and managing nodes with these hardware resources requires the configuration of multiple software components such as drivers, container runtimes or other libraries which are difficult and prone to errors. 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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apache/solr-operator
Official Kubernetes operator for Apache Solr
Solr Operator is a Kubernetes operator for managing Apache Solr clusters in a cloud-native environment. It automates deployment, scaling, and maintenance of Solr instances within Kubernetes, making it easier to manage search infrastructures at scale. It supports rolling updates, backups, and configuration management for Solr. -
16
Jaeger Operator for Kubernetes
Jaeger Operator for Kubernetes simplifies deploying and running Jaeger
...To be able to make the most of Kubernetes, you need a set of cohesive APIs to extend in order to service and manage your apps that run on Kubernetes. Think of Operators as the runtime that manages this type of app on Kubernetes. The Jaeger Operator can be installed in Kubernetes-based clusters and is able to watch for new Jaeger custom resources (CR) in specific namespaces, or across the entire cluster. There is typically only one Jaeger Operator per cluster, but there might be at most one Jaeger Operator per namespace in multi-tenant scenarios. -
17
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. -
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NeuralOperators.jl
DeepONets, Neural Operators, Physics-Informed Neural Ops in Julia
...Markov neural operator learns a neural operator with Fourier operators. -
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MongoDB Community Kubernetes Operator
MongoDB Community Kubernetes Operator
The MongoDB Kubernetes Operator is an open-source controller that automates deploying and managing MongoDB clusters on Kubernetes, enabling developers and operators to run production-grade MongoDB in cloud-native environments. By defining custom resource definitions (CRDs) for MongoDB resources, the operator lets you declare cluster topology, configuration, and scaling policies as Kubernetes manifests that can be applied with standard tools like kubectl and Helm. -
20
Altinity Kubernetes Operator ClickHouse
Creates, configures and manages clusters running on Kubernetes
Altinity Kubernetes Operator for ClickHouse creates, configures and manages ClickHouse clusters running on Kubernetes. -
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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). -
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Apache Airflow Provider
Great Expectations Airflow operator
...If your Airflow version is 2.1.0, and you want to install this provider version, first upgrade Airflow to at least version 2.1.0. Otherwise, your Airflow package version will be upgraded automatically, and you will have to manually run airflow upgrade db to complete the migration. This operator currently works with the Great Expectations V3 Batch Request API only. If you would like to use the operator in conjunction with the V2 Batch Kwargs API, you must use a version below 0.1.0. This operator uses Great Expectations Checkpoints instead of the former ValidationOperators. Because of the above, this operator requires Great Expectations >=v0.13.9, which is pinned in the requirements.txt starting with release 0.0.5. -
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External Secrets
External Secrets Operator reads information from a third-party service
External Secrets Operator is a Kubernetes operator that integrates external secret management systems like AWS Secrets Manager, HashiCorp Vault, Google Secrets Manager, Azure Key Vault, IBM Cloud Secrets Manager, Akeyless, CyberArk Conjur, Pulumi ESC and many more. The operator reads information from external APIs and automatically injects the values into a Kubernetes Secret. -
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kube-bench
Checks whether Kubernetes is deployed
kube-bench is a tool that checks whether Kubernetes is deployed securely by running the checks documented in the CIS Kubernetes Benchmark. Trivy, the all-in-one cloud-native security scanner, can be deployed as a Kubernetes Operator inside a cluster. Both, the Trivy CLI, and the Trivy Operator support CIS Kubernetes Benchmark scanning among several other features. There are multiple ways to run kube-bench. You can run kube-bench inside a pod, but it will need access to the host's PID namespace in order to check the running processes, as well as access to some directories on the host where config files and other files are stored. -
25
magrittr
Improve the readability of R code with the pipe
magrittr introduces the pipe operator (%>%) and related functional utilities into R. It underlies the powerful piped syntax widely adopted in tidyverse workflows by enabling left-hand argument passing and providing helpers like compound assignment pipes and exposition pipes.
