Open Source Mac Container Management Software - Page 2
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Container Management Software for Mac
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1
kail
Kubernetes log viewer
Kubernetes tail. Streams logs from all containers of all matched pods. Match pods by service, replicaset, deployment, and others. Adjusts to a changing cluster - pods are added and removed from logging as they fall in or out of the selection. With no arguments, kail matches all pods in the cluster. You can control the matching pods with arguments that select pods based on various criteria. -
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Docker Pi-hole
Pi-hole in a docker container
You can run Pi-hole in a container, or deploy it directly to a supported operating system via our automated installer. Our intelligent, automated installer asks you a few questions and then sets everything up for you. Once complete, move onto step 3. Configure your router’s DHCP options to force clients to use Pi-hole as their DNS server, or manually configure each device to use the Pi-hole as their DNS server. By pairing your Pi-hole with a VPN, you can have ad blocking on your cellular devices, helping with limited bandwidth data plans. Instead of browser plugins or other software on each computer, install Pi-hole in one place and your entire network is protected. Network-level blocking allows you to block ads in non-traditional places such as mobile apps and smart TVs, regardless of hardware or OS. Since advertisements are blocked before they are downloaded, network performance is improved and will feel faster. -
3
Kubeconform
A FAST Kubernetes manifests validator
Kubeconform is a Kubernetes manifest validation tool. Incorporate it into your CI, or use it locally to validate your Kubernetes configuration. -
4
LINKERD
Ultralight, security-first service mesh for Kubernetes
Enterprise power without enterprise complexity. Linkerd adds security, observability, and reliability to any Kubernetes cluster. 100% open source, CNCF graduated, and written in Rust. 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. -
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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5
dhall-haskell
Maintainable configuration files
Maintainable configuration files. Navigate to each package's directory for their respective READMEs. You can download pre-built binaries for Windows, OS X and Linux on the release page. You can then click the "Help" button in the bottom right corner, which will show you a nix-env command that you can run to install the prebuilt executable. You will probably want to use the shared caches hosted at cache.dhall-lang.org and dhall.cachix.org when doing Nix development. This is not required, but this will save you a lot of time so that you don't have to build as many dependencies from scratch the first time. If you prefer installing the binaries locally in a nix shell environment instead, just run nix-shell in the top-level directory. This option provides additional flexibility with respect to overriding some of the default parameters (e.g. the compiler version), which makes it particularly useful for developers. -
6
Colima
Container runtimes on macOS (and Linux) with minimal setup
Container runtimes on macOS (and Linux) with minimal setup. -
7
Gatekeeper
Policy Controller for Kubernetes
A customizable cloud-native policy controller that helps enforce policies and strengthen governance. Gatekeeper makes managing policies on top of Kubernetes easy. Policies can be enforced at admission time or at runtime via the audit functionality. Gatekeeper is powered by the Open Policy Agent (OPA) project. Using OPA allows you to write policies that are powerful, flexible, and portable. Browse the policy library to find existing policies that fit your use case. Each policy in the library can be extended and customized to fit your needs. -
8
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 Canary Rollouts to your ML deployments. It enables a simple, pluggable, and complete story for Production ML Serving including prediction, pre-processing, post-processing and explainability. KServe is being used across various organizations. -
9
Kaniko
Build Container Images In Kubernetes
kaniko is a tool to build container images from a Dockerfile, inside a container or Kubernetes cluster. kaniko doesn't depend on a Docker daemon and executes each command within a Dockerfile completely in userspace. This enables building container images in environments that can't easily or securely run a Docker daemon, such as a standard Kubernetes cluster. -
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10
Loggie
A lightweight, cloud-native data transfer agent and aggregator
Loggie is a lightweight, high-performance, cloud-native agent and aggregator based on Golang. Loggie includes LogConfig/ClusterLogConfig/Interceptor/Sink CRDs, allowing for the creation of data collection, transfer, processing, and sending pipelines through simple YAML file creation. Supports deployment as an independent intermediate machine, which can receive aggregated data sent by Loggie Agent and can also be used to consume and process various data sources. Configure Filebeat and Loggie to collect logs, and send them to a Kafka topic without using client compression, with the Kafka topic partition configured as 3. With sufficient resources for the Agent specification, modify the number of files collected, the concurrency of the sending client (configure Filebeat worker and Loggie parallelism), and observe their respective CPU, memory, and pod network card transmission rates. -
11
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. -
12
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. 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 different resources in a Kubernetes-native way. The Trivy Operator automatically generates and updates security reports. These reports are generated in response to new workload and other changes on a Kubernetes cluster. -
13
Argo CD Image Updater
Automatic container image update for Argo CD
Argo CD Image Updater is a tool to automatically update the container images of Kubernetes workloads which are managed by Argo CD. In a nutshell, it will track image versions specified by annotations on the Argo CD Application resources and update them by setting parameter overrides using the Argo CD API. Currently, it will only work with applications that are built using Kustomize or Helm tooling. Applications built from plain YAML or custom tools are not supported yet (and maybe never will). -
14
Bank of Anthos
Retail banking sample application showcasing Kubernetes
Bank of Anthos is a sample HTTP-based web app that simulates a bank's payment processing network, allowing users to create artificial bank accounts and complete transactions. Google uses this application to demonstrate how developers can modernize enterprise applications using Google Cloud products, including: Google Kubernetes Engine (GKE), Anthos Service Mesh (ASM), Anthos Config Management (ACM), Migrate to Containers, Spring Cloud GCP, Cloud Operations, Cloud SQL, Cloud Build, and Cloud Deploy. This application works on any Kubernetes cluster. -
15
Docker-OSX
Run macOS VM in a Docker! Run near native OSX-KVM in Docker
Run Mac OS X in Docker with near-native performance! X11 Forwarding. iMessage security research! iPhone USB working! macOS in a Docker container. -
16
Gloo Gateway
The Feature-rich, Kubernetes-native, Next-Generation API Gateway
Gloo Gateway is a powerful Kubernetes-native ingress controller and API gateway that is based on the Kubernetes Gateway API. It excels in function-level routing, supports legacy apps, microservices and serverless, offers robust discovery capabilities, integrates seamlessly with open-source projects, and is designed to support hybrid applications with various technologies, architectures, protocols, and clouds. -
17
KT-Connect
A toolkit for Integrating with your kubernetes dev environment
KtConnect ("Kt" is short for "Kubernetes Toolkit") is a utility tool to help you work with the Kubernetes dev environment more efficiently. Directly Access a remote Kubernetes cluster. KtConnect use ssh-vpn or socks-proxy to access remote Kubernetes cluster networks. Developers can exchange the workload to redirect the requests to a local app. You can create a mesh version service in the local host, and redirect specified workload requests to your local. Expose a local running app to the Kubernetes cluster as a common service, all requests to that service are redirected to the local app. -
18
KUDO
Kubernetes Universal Declarative Operator (KUDO)
Kubernetes Universal Declarative Operator (KUDO) provides a declarative approach to building production-grade Kubernetes Operators covering the entire application lifecycle. The Kubernetes Universal Declarative Operator (KUDO) is a highly productive toolkit for writing Kubernetes Operators. Using KUDO you can deploy your applications, have the tools needed to operate them, and understand how they're behaving, all without a Ph.D. in Kubernetes. KUDO lets you configure an Operator’s entire lifecycle using a declarative spec, including things like backup/restore. You don’t have to write Go unless you want to. -
19
Karmada
Open, Multi-Cloud, Multi-Cluster Kubernetes Orchestration
Karmada (Kubernetes Armada) is a Kubernetes management system that enables you to run your cloud-native applications across multiple Kubernetes clusters and clouds, with no changes to your applications. By speaking Kubernetes-native APIs and providing advanced scheduling capabilities, Karmada enables truly open, multi-cloud Kubernetes. Karmada aims to provide turnkey automation for multi-cluster application management in multi-cloud and hybrid cloud scenarios, with key features such as centralized multi-cloud management, high availability, failure recovery, and traffic scheduling. -
20
KubeSphere
The container platform tailored for Kubernetes multi-cloud, datacenter
KubeSphere is a distributed operating system for cloud-native application management, using Kubernetes as its kernel. It provides a plug-and-play architecture, allowing third-party applications to be seamlessly integrated into its ecosystem. KubeSphere is also a multi-tenant container platform with full-stack automated IT operation and streamlined DevOps workflows. It provides developer-friendly wizard web UI, helping enterprises to build out a more robust and feature-rich platform, which includes most common functionalities needed for enterprise Kubernetes strategy, see Feature List for details. KubeSphere Lite provides you with free, stable, and out-of-the-box managed cluster service. After registration and login, you can easily create a K8s cluster with KubeSphere installed in only 5 seconds and experience feature-rich KubeSphere. -
21
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. It appears to emphasize automation, consistency, and performance optimization across AI pipelines, potentially targeting enterprise and research use cases. Given NVIDIA’s ecosystem, it may also integrate with containerized environments, Kubernetes, or other orchestration frameworks. -
22
Numaflow
Kubernetes-native platform to run massively parallel data/streaming
Numaflow is a Kubernetes-native tool for running massively parallel stream processing. A Numaflow Pipeline is implemented as a Kubernetes custom resource and consists of one or more source, data processing, and sink vertices. Numaflow installs in a few minutes and is easier and cheaper to use for simple data processing applications than a full-featured stream processing platform. -
23
Opta
The next generation of Infrastructure-as-Code
Opta is an infrastructure-as-code framework. Rather than working with a low-level cloud configuration, Opta enables you to work with high-level constructs. Opta high-level constructs produce Terraform configuration files. This helps you avoid lock-in to Opta. You can write custom Terraform code or even take the Opta-generated Terraform and go your own way. Opta is a new kind of Infrastructure-as-Code (IaC) framework that lets engineers work with high-level constructs instead of getting lost in low-level cloud configuration. Opta has a vast library of modules (like EKS, RDS, DynamoDB, GKE, Cloud SQL, and even third-party services like Datadog) that engineers can compose together to build their ideal infrastructure stack. It's built on top of Terraform, and designed so engineers aren’t locked in – anyone can write custom Terraform or even take the Opta-generated Terraform and work independently. -
24
Ouroboros
Automatically update running docker containers
Ouroboros will monitor (all or specified) running docker containers and update them to the (latest or tagged) available image in the remote registry. The updated container uses the same tag and parameters that were used when the container was first created such as volume/bind mounts, docker network connections, environment variables, restart policies, entrypoints, commands, etc. Push your image to your registry and simply wait your defined interval for ouroboros to find the new image and redeploy your container autonomously. Notify you via many platforms courtesy of Apprise. Serve metrics for trend monitoring (Currently: Prometheus/Influxdb) Per-command and scenario examples can be found in the wiki. -
25
Shifu
Kubernetes-native IoT gateway
Shifu is a Kubernetes native, production-grade, protocol & vendor agnostic IoT gateway. Developing your application while managing your devices, spares the need for maintaining an additional O&M infrastructure. No vendor lock-in. You can easily deploy Shifu on the edge(from RaspberryPi to edge clusters) or on the cloud(public, private, and hybrid cloud are all supported). HTTP, MQTT, RTSP, Siemens S7, TCP socket, OPC UA...The microservice architecture of Shifu enables it to quickly adapt to new protocols. Kubernetes pod as well as the atomic unit of Shifu. DeviceShifu mainly contains the driver of the device and represents a device in the cluster. Or you can call it "digital twin" of the device.
