Alternatives to Skaffold
Compare Skaffold alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Skaffold in 2026. Compare features, ratings, user reviews, pricing, and more from Skaffold competitors and alternatives in order to make an informed decision for your business.
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1
Telepresence
Ambassador Labs
Telepresence streamlines your local development process, enabling immediate feedback. You can launch your local environment on your laptop, equipped with your preferred tools, while Telepresence seamlessly connects them to the microservices and test databases they rely on. It simplifies and expedites collaborative development, debugging, and testing within Kubernetes environments by establishing a seamless connection between your local machine and shared remote Kubernetes clusters. Why Telepresence: Faster feedback loops: Spend less time building, containerizing, and deploying code. Get immediate feedback on code changes by running your service in the cloud from your local machine. Shift testing left: Create a remote-to-local debugging experience. Catch bugs pre-production without the configuration headache of remote debugging. Deliver better, faster user experience: Get new features and applications into the hands of users faster and more frequently.Starting Price: Free -
2
Kubernetes
Kubernetes
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.Starting Price: Free -
3
Red Hat OpenShift
Red Hat
The Kubernetes platform for big ideas. Empower developers to innovate and ship faster with the leading hybrid cloud, enterprise container platform. Red Hat OpenShift offers automated installation, upgrades, and lifecycle management throughout the container stack—the operating system, Kubernetes and cluster services, and applications—on any cloud. Red Hat OpenShift helps teams build with speed, agility, confidence, and choice. Code in production mode anywhere you choose to build. Get back to doing work that matters. Red Hat OpenShift is focused on security at every level of the container stack and throughout the application lifecycle. It includes long-term, enterprise support from one of the leading Kubernetes contributors and open source software companies. Support the most demanding workloads including AI/ML, Java, data analytics, databases, and more. Automate deployment and life-cycle management with our vast ecosystem of technology partners.Starting Price: $50.00/month -
4
Gefyra
Blueshoe
Building and pushing containers to test them in Kubernetes is repetitive and time-consuming. Writing and debugging code that depends on services in Kubernetes is daunting. Especially if they are not reachable during development. Gefyra is an Open Source project that runs local code in any Kubernetes cluster without the build and push cycle. It overlays containers in the cluster making code changes immediately available. Gefyra enables you to: - Run containers and talk to internal services on an external Kubernetes cluster - Operate feature-branches in a production-like Kubernetes environment with all adjacent services - Overlay Kubernetes cluster-internal services with you local container. - Leverage development clusters for multiple developers at the same time. - Write code in the IDE you already love - Leverage all the neat development features, such as debugger, code-hot-reloading, overriding - Run high-level integration tests against all dependent servicesStarting Price: free -
5
Nutanix Kubernetes Engine
Nutanix
Fast-track your way to production-ready Kubernetes and simplify lifecycle management with Nutanix Kubernetes Engine, an enterprise Kubernetes management solution. NKE empowers you to deliver and manage an end-to-end, production-ready Kubernetes environment with push-button simplicity while preserving a native user experience. Deploy and configure production-ready Kubernetes clusters in minutes, as opposed to days or weeks. Automatically configure and deploy your Kubernetes clusters for high availability through NKE’s simple, streamlined workflow. Every NKE Kubernetes cluster is deployed with a Nutanix full-featured CSI driver, which natively integrates with Volumes Block Storage and Files Storage to easily provide persistent storage for containerized applications. Add Kubernetes worker nodes with a single click. When additional physical resources are needed, expanding the cluster is just as simple. -
6
KubeMQ
KubeMQ
Innovative and modern message queue and message broker in a lightweight container developed to run in Kubernetes, certified in the CNCF landscape and connect natively to the cloud-native ecosystem. A message broker and message queue ideal for developers. Provides all messaging patterns, scalable, highly available, and secure. Connect microservices instantly using a rich set of connectors without writing any code. Easy-to-use SDKs and elimination of predefined topics, channels, brokers, and routes. Build & Deploy allows configurations of KubeMQ components to be built with a few clicks and deployed with kubectl command line. Innovative and modern message queue and message broker in a lightweight container developed to run in Kubernetes, certified in the CNCF landscape, and connect natively to the cloud-native ecosystem. Simple deployment in Kubernetes in less than 1 minute. Developer friendly by simple to use SDKs and elimination of the many developers and DevOps-centered challenges. -
7
Submariner
Submariner
As Kubernetes gains adoption, teams are finding they must deploy and manage multiple clusters to facilitate features like geo-redundancy, scale, and fault isolation for their applications. With Submariner, your applications and services can span multiple cloud providers, data centers, and regions. The Broker must be deployed on a single Kubernetes cluster. This cluster’s API server must be reachable by all Kubernetes clusters connected by Submariner. It can be a dedicated cluster, or one of the connected clusters. Once Submariner is deployed on a cluster with the proper credentials to the Broker it will exchange Cluster and Endpoint objects with other clusters (via push/pull/watching), and start forming connections and routes to other clusters. Worker node IPs on all connected clusters must be outside of the Pod/Service CIDR ranges. -
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harpoon
harpoon
harpoon is a drag-and-drop Kubernetes tool for deploying any software in seconds. Whether you're new to Kubernetes or are looking for the best way to learn, harpoon has all the features you need to be successful in deploying and configuring your software using the industry-leading container orchestrator, all with no code. Our visual Kubernetes interface enables anyone to deploy production-grade software with no code. Easily accomplish simple or complex enterprise-grade cloud deployments to deploy and configure software and autoscale Kubernetes without writing any code or configuration scripts. Instantly search for and find any piece of commercial or open source software on the planet and deploy it to the cloud with one click. Before running any applications or services, harpoon will run automated scripts that will secure your cloud provider account. Connect harpoon to your source code repository anywhere and set up an automated deployment pipeline.Starting Price: $50 per month -
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Container Engine for Kubernetes (OKE) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute shapes. DevOps engineers can use unmodified, open source Kubernetes for application workload portability and to simplify operations with automatic updates and patching. Deploy Kubernetes clusters including the underlying virtual cloud networks, internet gateways, and NAT gateways with a single click. Automate Kubernetes operations with web-based REST API and CLI for all actions including Kubernetes cluster creation, scaling, and operations. Oracle Container Engine for Kubernetes does not charge for cluster management. Easily and quickly upgrade container clusters, with zero downtime, to keep them up to date with the latest stable version of Kubernetes.
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10
Knative
Google
Knative, created originally by Google with contributions from over 50 different companies, delivers an essential set of components to build and run serverless applications on Kubernetes. Knative offers features like scale-to-zero, autoscaling, in-cluster builds, and eventing framework for cloud-native applications on Kubernetes. Whether on-premises, in the cloud, or in a third-party data center, Knative codifies the best practices shared by successful real-world Kubernetes-based frameworks. Most importantly, Knative enables developers to focus on writing code without the need to worry about the “boring but difficult” parts of building, deploying, and managing their application. -
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KubeSphere
KubeSphere
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 enterprise-grade open-source Kubernetes container platform with full-stack automated IT operations and streamlined DevOps workflows. It provides developer-friendly wizard web UI, helping enterprises to build out a more robust and feature-rich Kubernetes platform, which includes the most common functionalities needed for enterprise Kubernetes strategies. A CNCF-certified Kubernetes platform, 100% open-source, built and improved by the community. Can be deployed on an existing Kubernetes cluster or Linux machines, supports the online and air-gapped installation. Deliver DevOps, service mesh, observability, application management, multi-tenancy, storage, and networking management in a unified platform. -
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Red Hat Advanced Cluster Management for Kubernetes controls clusters and applications from a single console, with built-in security policies. Extend the value of Red Hat OpenShift by deploying apps, managing multiple clusters, and enforcing policies across multiple clusters at scale. Red Hat’s solution ensures compliance, monitors usage and maintains consistency. Red Hat Advanced Cluster Management for Kubernetes is included with Red Hat OpenShift Platform Plus, a complete set of powerful, optimized tools to secure, protect, and manage your apps. Run your operations from anywhere that Red Hat OpenShift runs, and manage any Kubernetes cluster in your fleet. Speed up application development pipelines with self-service provisioning. Deploy legacy and cloud-native applications quickly across distributed clusters. Free up IT departments with self-service cluster deployment that automatically delivers applications.
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13
mogenius
mogenius
mogenius combines visibility, observability, and automation in a single platform for comprehensive Kubernetes control. Connect and visualize your Kubernetes clusters and workloads. Provide visibility for the entire team. Identify misconfigurations across your workloads. Take action directly within the mogenius platform. Automate your K8s operations with service catalogs, developer self-service, and ephemeral environments. Leverage developer self-service to simplify deployments for your developers. Optimize resource allocation and avoid configuration drift through standardized and automated workflows. Eliminate duplicate work and encourage reusability with service catalogs. Get full visibility into your current Kubernetes setup. Deploy a cloud-agnostic Kubernetes operator to receive a complete overview of what’s going on across your clusters and workloads. Provide developers with local and ephemeral testing environments in a few clicks that mirror your production setup.Starting Price: $350 per month -
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HashiCorp Waypoint
HashiCorp
Waypoint uses a single configuration file and common workflow to manage and observe deployments across platforms such as Kubernetes, Nomad, EC2, Google Cloud Run, and more. Waypoint builds applications for any language or framework. You can use Buildpacks for automatically building common frameworks or custom Dockerfiles or other build tools for more fine-grained control. The build step is where your application and assets are compiled, validated, and an artifact is created. This artifact can be published to a remote registry or simply passed to the deploy step. Waypoint deploys artifacts created by the build step to a variety of platforms, from Kubernetes to EC2 to static site hosts. It configures your target platform and prepares the new application version to be publicly accessible. Deployments are accessible via a preview URL prior to release. Waypoint releases your staged deployments and makes them accessible to the public. -
15
Edka
Edka
Edka automates the creation of a production‑ready Platform as a Service (PaaS) on top of standard cloud virtual machines and Kubernetes. It reduces the manual effort required to run applications on Kubernetes by providing preconfigured open source add-ons that turn a Kubernetes cluster into a full-fledged PaaS. Edka simplifies Kubernetes operations by organizing them into layers: Layer 1: Cluster provisioning – A simple UI to provision a k3s-based cluster. You can create a cluster in one click using the default values. Layer 2: Add-ons - One-click deploy for metrics-server, cert-manager, and various operators; preconfigured for Hetzner, no extra setup required. Layer 3: Applications - Minimal config UIs for apps built on top of add-ons. Layer 4: Deployments - Edka updates deployments automatically (with semantic versioning rules), supports instant rollbacks, autoscaling, persistent volumes, secrets/env imports, and quick public exposure.Starting Price: €0 -
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OKD
OKD
In short, OKD is a very opinionated deployment of Kubernetes. Kubernetes is a collection of software and design patterns to operate applications at scale. We add some features directly as modifications into Kubernetes, but mostly we augment the platform by "preinstalling" a large amount of pieces of software called Operators into the deployed cluster. These operators then provide all of our cluster components (over 100 of them) that make up the platform, such as OS upgrades, web consoles, monitoring, and image-building. OKD is intended to be run at all scales from cloud to metal to edge. The installer is fully automated on some platforms (such as AWS) or supports configuration into custom environments (such as metal or labs). OKD adopts developing best practices and technology. A great platform for technologists and students to learn, experiment, and contribute across the cloud ecosystem. -
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Deploy and orchestrate applications on a managed Kubernetes platform with centralized, SaaS-based management of distributed applications with a single pane of glass and rich observability. Simplify by managing deployments as one across on-prem, cloud, and edge locations. Achieve effortless management and scaling of applications across multiple k8s clusters (customer sites or F5 Distributed Cloud Regional Edge) with a single Kubernetes compatible API, unlocking the ease of multi-cluster management. Deploy, deliver, and secure applications to all locations as one ”virtual” location. Deploy, secure, and operate distributed applications with uniform production grade Kubernetes no matter the location, from private and public cloud to edge locations. Secure K8s Gateway with zero trust security all the way to the cluster with ingress services with WAAP, service policies management, network, and application firewall.
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Azure Pipelines
Microsoft
Automate your builds and deployments with Pipelines so you spend less time with the nuts and bolts and more time being creative. Get cloud-hosted pipelines for Linux, macOS, and Windows. Build web, desktop and mobile applications. Deploy to any cloud or on‑premises. Build, test, and deploy Node.js, Python, Java, PHP, Ruby, C/C++, .NET, Android, and iOS apps. Run in parallel on Linux, macOS, and Windows. Easily build and push images to container registries like Docker Hub and Azure Container Registry. Deploy containers to individual hosts or Kubernetes. Explore and implement a wide range of community-built build, test, and deployment tasks, along with hundreds of extensions from Slack to SonarCloud. Implement continuous delivery (CD) of your software to any cloud, including Azure, AWS, and GCP. Visualize deployment to any number of interdependent stages. -
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KubeGrid
KubeGrid
Define your Kubernetes infrastructure, and use KubeGrid to automatically deploy, monitor, and optimize up to thousands of clusters. KubeGrid automates the full lifecycle management of Kubernetes in on-prem and cloud environments, enabling developers to deploy, manage, and update large numbers of clusters with ease. KubeGrid is a Platform as Code, meaning you can declaratively define all your Kubernetes requirements as code, from your on-prem or cloud infrastructure, to cluster specs, and autoscaling policies, and KubeGrid will deploy and manage everything for you. Most infrastructure-as-code tools help you provision infrastructure, but stop there. KubeGrid goes beyond that to help developers automate Day 2 operations, such as monitoring infrastructure, failing over unhealthy nodes, and updating your clusters and operating system. Kubernetes is great for provisioning pods in an automated fashion. -
20
Loft
Loft Labs
Most Kubernetes platforms let you spin up and manage Kubernetes clusters. Loft doesn't. Loft is an advanced control plane that runs on top of your existing Kubernetes clusters to add multi-tenancy and self-service capabilities to these clusters to get the full value out of Kubernetes beyond cluster management. Loft provides a powerful UI and CLI but under the hood, it is 100% Kubernetes, so you can control everything via kubectl and the Kubernetes API, which guarantees great integration with existing cloud-native tooling. Building open-source software is part of our DNA. Loft Labs is CNCF and Linux Foundation member. Loft allows companies to empower their employees to spin up low-cost, low-overhead Kubernetes environments for a variety of use cases.Starting Price: $25 per user per month -
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Kong Mesh
Kong
Enterprise service mesh based on Kuma for multi-cloud and multi-cluster on both Kubernetes and VMs. Deploy with a single command. Connect to other services automatically with built-in service discovery, including an Ingress resource and remote CPs. Support across any environment, including multi-cluster, multi-cloud and multi-platform on both Kubernetes and VMs. Accelerate initiatives like zero-trust and GDPR with native mesh policies, improving the speed and efficiency of every application team. Deploy a single control plane that can scale horizontally to many data planes, or support multiple clusters or even hybrid service meshes running on both Kubernetes and VMs combined. Simplify cross-zone communication using an Envoy-based ingress deployment on both Kubernetes and VMs, as well as the built-in DNS resolver for service-to-service communication. Built on top of Envoy with 50+ observability charts out of the box, you can collect metrics, traces, and logs of all L4-L7 traffic.Starting Price: $250 per month -
22
Kublr
Kublr
Centrally deploy, run, and manage Kubernetes clusters across all of your environments with a comprehensive container orchestration platform that finally delivers on the Kubernetes promise. Optimized for large enterprises, Kublr is designed to provide multi-cluster deployments and observability. We made it easy, so your team can focus on what really matters: innovation and value generation. Enterprise-grade container orchestration might start with Docker and Kubernetes, but Kublr delivers the comprehensive, flexible tools that ensure you deploy enterprise-class Kubernetes clusters from Day One. The platform eases adoption for enterprises new to Kubernetes while providing the flexibility and control mature organizations need. While master self-healing is key, true high availability can only be achieved with additional node self-healing, ensuring worker nodes are as reliable as the cluster. -
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Arroyo
Arroyo
Scale from zero to millions of events per second. Arroyo ships as a single, compact binary. Run locally on MacOS or Linux for development, and deploy to production with Docker or Kubernetes. Arroyo is a new kind of stream processing engine, built from the ground up to make real-time easier than batch. Arroyo was designed from the start so that anyone with SQL experience can build reliable, efficient, and correct streaming pipelines. Data scientists and engineers can build end-to-end real-time applications, models, and dashboards, without a separate team of streaming experts. Transform, filter, aggregate, and join data streams by writing SQL, with sub-second results. Your streaming pipelines shouldn't page someone just because Kubernetes decided to reschedule your pods. Arroyo is built to run in modern, elastic cloud environments, from simple container runtimes like Fargate to large, distributed deployments on the Kubernetes logo Kubernetes. -
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Stackable
Stackable
The Stackable data platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka, Apache Druid, Trino, and Apache Spark. While other current offerings either push their proprietary solutions or deepen vendor lock-in, Stackable takes a different approach. All data apps work together seamlessly and can be added or removed in no time. Based on Kubernetes, it runs everywhere, on-prem or in the cloud. stackablectl and a Kubernetes cluster are all you need to run your first stackable data platform. Within minutes, you will be ready to start working with your data. Configure your one-line startup command right here. Similar to kubectl, stackablectl is designed to easily interface with the Stackable Data Platform. Use the command line utility to deploy and manage stackable data apps on Kubernetes. With stackablectl, you can create, delete, and update components.Starting Price: Free -
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Crossplane
Crossplane
Crossplane is an open-source Kubernetes add-on that enables platform teams to assemble infrastructure from multiple vendors, and expose higher-level self-service APIs for application teams to consume, without having to write any code. Provision and manage cloud infrastructure and services using kubectl. Crossplane extends your Kubernetes cluster, providing you with CRDs for any infrastructure or managed service. Compose these granular resources into higher-level abstractions that can be versioned, managed, deployed, and consumed using your favorite tools and existing processes you've already integrated with your clusters. We built Crossplane to help organizations build their clouds like the cloud vendors build theirs, with a control plane. Crossplane is a CNCF project which extends the Kubernetes API to manage and compose infrastructure. Operators can encapsulate policies, permissions, and other guardrails behind a custom API line generated by Crossplane. -
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Argo
Argo
Open-source tools for Kubernetes to run workflows, manage clusters and do GitOps right. Kubernetes-native workflow engine supporting DAG and step-based workflows. Declarative continuous delivery with a fully-loaded UI. Advanced Kubernetes deployment strategies such as Canary and Blue-Green made easy. Argo Workflows is an open-source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD. Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a graph (DAG). Easily run compute-intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes. Run CI/CD pipelines natively on Kubernetes without configuring complex software development products. Designed from the ground up for containers without the overhead and limitations of legacy VM and server-based environments. -
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Kubestone
Kubestone
Welcome to Kubestone, the benchmarking operator for Kubernetes. Kubestone is a benchmarking operator that can evaluate the performance of Kubernetes installations. Supports a common set of benchmarks to measure, CPU, disk, network and application performance. Fine-grained control over Kubernetes scheduling primitives, affinity, anti-affinity, tolerations, storage classes, and node selection. New benchmarks can easily be added by implementing a new controller. Benchmarks runs are defined as custom resources and executed in the cluster using Kubernetes resources, pods, jobs, deployments, and services. Follow the quickstart guide to see how Kubestone can be deployed and how benchmarks can be run. Benchmarks can be executed via Kubestone by creating custom resources in your cluster. After the namespace is created you can use it to post a benchmark request to the cluster. The resulting benchmark executions will reside in this namespace. -
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Azure Kubernetes Service (AKS)
Microsoft
The fully managed Azure Kubernetes Service (AKS) makes deploying and managing containerized applications easy. It offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence. Elastic provisioning of additional capacity without the need to manage the infrastructure. Add event-driven autoscaling and triggers through KEDA. Faster end-to-end development experience with Azure Dev Spaces including integration with Visual Studio Code Kubernetes tools, Azure DevOps, and Azure Monitor. Advanced identity and access management using Azure Active Directory, and dynamic rules enforcement across multiple clusters with Azure Policy. Available in more regions than any other cloud providers. -
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kpt
kpt
kpt is a package-centric toolchain that enables a WYSIWYG configuration authoring, automation, and delivery experience, which simplifies managing Kubernetes platforms and KRM-driven infrastructure at scale by manipulating declarative configuration as data, separated from the code that transforms it. Most Kubernetes users either manage their resources using conventional imperative graphical user interfaces, command-line tools (kubectl), and automation (e.g., operators) that operate directly against Kubernetes APIs, or declarative configuration tools, such as Helm, Terraform, cdk8s, or one of the dozens of other tools. At a small scale, this is largely driven by preference and familiarity. As companies expand the number of Kubernetes development and production clusters they use, creating and enforcing consistent configurations and security policies across a growing environment becomes difficult. -
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Anthos
Google
Anthos lets you build, deploy, and manage applications anywhere in a secure, consistent manner. You can modernize existing applications running on virtual machines while deploying cloud-native apps on containers in an increasingly hybrid and multi-cloud world. Our application platform provides a consistent development and operations experience across all your deployments while reducing operational overhead and improving developer productivity. Anthos GKE: Enterprise-grade container orchestration and management service for running Kubernetes clusters anywhere, in both cloud and on-premises environments. Anthos Config Management: Define, automate, and enforce policies across environments in order to meet your organization’s unique security and compliance requirements. Anthos Service Mesh: Anthos unburdens operations and development teams by empowering them to manage and secure traffic between services while monitoring, troubleshooting, and improving application performance. -
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BotKube
BotKube
BotKube is a messaging bot for monitoring and debugging Kubernetes clusters. It's built and maintained by InfraCloud. BotKube can be integrated with multiple messaging platforms like Slack, Mattermost, Microsoft Teams to help you monitor your Kubernetes cluster(s), debug critical deployments and gives recommendations for standard practices by running checks on the Kubernetes resources. BotKube watches Kubernetes resources and sends a notification to the channel if any event occurs for example ImagePullBackOff error. You can customize the objects and level of events you want to get from the Kubernetes cluster. You can turn on/off notifications. BotKube can execute kubectl commands on the Kubernetes cluster without giving access to Kubeconfig or underlying infrastructure. With BotKube you can debug your deployment, services or anything about your cluster right from your messaging window. -
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Kubeflow
Kubeflow
The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow. Kubeflow provides a custom TensorFlow training job operator that you can use to train your ML model. In particular, Kubeflow's job operator can handle distributed TensorFlow training jobs. Configure the training controller to use CPUs or GPUs and to suit various cluster sizes. Kubeflow includes services to create and manage interactive Jupyter notebooks. You can customize your notebook deployment and your compute resources to suit your data science needs. Experiment with your workflows locally, then deploy them to a cloud when you're ready. -
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Tencent Kubernetes Engine
Tencent
TKE is fully compatible with the entire range of Kubernetes capabilities and has been adapted to Tencent Cloud's fundamental IaaS capabilities such as CVM and CBS. In addition, Tencent Cloud’s Kubernetes-based cloud products such as CBS and CLB support one-click deployment to container clusters for a variety of open source applications, greatly improving deployment efficiency. Thanks to TKE, you can simplify the management of large-scale clusters and management and OPS of distributed applications without having to use cluster management software or design fault-tolerant cluster architecture. Simply launch TKE and specify the tasks you want to run, and then TKE will take care of all of the cluster management tasks, allowing you to focus on developing Dockerized applications. -
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Plural
Plural
Plural is an AI-powered Kubernetes management platform that automates complex tasks, simplifying upgrades, compliance management, visibility, and troubleshooting within Kubernetes environments. It offers a unified application deployment platform, facilitating the deployment of open source applications and proprietary services on Kubernetes using standards like Helm and Terraform. Key features include a fleet-scale GitOps engine for secure and scalable deployments, comprehensive visibility through a secure Auth Proxy, and integration with tools like Podman to streamline local development and deployment processes. Designed for DevOps and platform engineering teams, Plural enhances operational efficiency by automating routine tasks and optimizing workflows. -
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Werf
Werf
The CLI tool gluing Git, Docker, Helm & Kubernetes with any CI system to implement CI/CD and Giterminism. Establish and benefit from efficient, robust, and integrated CI/CD pipelines on top of proven technologies. With Werf, it’s easy to start, apply best practices, and avoid reinventing the wheel. Werf not only builds & deploys but also continuously syncs the current Kubernetes state with changes made in Git. Werf introduces Giterminism, use git as a single source of truth, and make the entire delivery pipeline deterministic and idempotent. Werf supports 2 ways to deploy an application. converge application from git commit into the Kubernetes, publish application from git commit into the container registry as a bundle, then deploy bundle into the Kubernetes. Werf just works out of the box with a minimal configuration. You don't even need to be a DevOps/SRE engineer to use werf. Many guides are provided to quickly deploy your app into Kubernetes. -
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Azure Red Hat OpenShift
Microsoft
Azure Red Hat OpenShift provides highly available, fully managed OpenShift clusters on demand, monitored and operated jointly by Microsoft and Red Hat. Kubernetes is at the core of Red Hat OpenShift. OpenShift brings added-value features to complement Kubernetes, making it a turnkey container platform as a service (PaaS) with a significantly improved developer and operator experience. Highly available, fully managed public and private clusters, automated operations, and over-the-air platform upgrades. Take advantage of the enhanced user interface for application topology and builds in the web console to build, deploy, configure, and visualize containerized applications and cluster resources more easily.Starting Price: $0.44 per hour -
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Longhorn
Longhorn
In the past, ITOps and DevOps have found it hard to add replicated storage to Kubernetes clusters. As a result many non-cloud-hosted Kubernetes clusters don’t support persistent storage. External storage arrays are non-portable and can be extremely expensive. Longhorn delivers simplified, easy to deploy and upgrade, 100% open source, cloud-native persistent block storage without the cost overhead of open core or proprietary alternatives. Longhorn’s built-in incremental snapshot and backup features keep the volume data safe in or out of the Kubernetes cluster. Scheduled backups of persistent storage volumes in Kubernetes clusters is simplified with Longhorn’s intuitive, free management UI. External replication solutions will recover from a disk failure by re-replicating the entire data store. This can take days, during which time the cluster performs poorly and has a higher risk of failure. -
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VMware Tanzu Kubernetes Grid
Broadcom
Power your modern applications with VMware Tanzu Kubernetes Grid. Run the same K8s across data center, public cloud and edge for a consistent, secure experience for all development teams. Keep your workloads properly isolated and secure. Get a complete, easy-to-upgrade Kubernetes runtime with preintegrated and validated components. Deploy and scale all clusters without downtime. Apply security fixes fast. Run your containerized applications on a certified Kubernetes distribution, bolstered by the global Kubernetes community. Use your existing data center tools and workflows to give developers secure, self-serve access to conformant Kubernetes clusters in your VMware private cloud, and extend the same consistent Kubernetes runtime across your public cloud and edge environments. Simplify operations of large-scale, multicluster Kubernetes environments, and keep your workloads properly isolated. Automate lifecycle management to reduce your risk and shift your focus to more strategic work. -
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IBM Cloud® Kubernetes Service is a certified, managed Kubernetes solution, built for creating a cluster of compute hosts to deploy and manage containerized apps on IBM Cloud®. It provides intelligent scheduling, self-healing, horizontal scaling and securely manages the resources that you need to quickly deploy, update and scale applications. IBM Cloud Kubernetes Service manages the master, freeing you from having to manage the host OS, container runtime and Kubernetes version-update process.Starting Price: $0.11 per hour
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40
Nirmata
Nirmata
Deploy production-ready Kubernetes clusters in days. Rapidly onboard users and applications. Conquer Kubernetes complexity with an intuitive and powerful DevOps solution. Eliminate friction between teams, enhance alignment, and boost productivity. With Nirmata’s Kubernetes Policy Manager, you’ll have the right security, compliance and Kubernetes governance to scale efficiently. Manage all your Kubernetes clusters, policies, and applications in one place while streamling operations with the DevSecOps Platform. Nirmata’s DevSecOps platform integrates with cloud providers (EKS, AKS, GKE, OKE, etc.) and infrastructure-based solutions (VMware, Nutanix, bare metal) and solves Kubernetes operations challenges for enterprise DevOps teams with powerful Kubernetes management and governance capabilities.Starting Price: $50 per node per month -
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Amazon EKS Anywhere
Amazon
Amazon EKS Anywhere is a new deployment option for Amazon EKS that enables you to easily create and operate Kubernetes clusters on-premises, including on your own virtual machines (VMs) and bare metal servers. EKS Anywhere provides an installable software package for creating and operating Kubernetes clusters on-premises and automation tooling for cluster lifecycle support. EKS Anywhere brings a consistent AWS management experience to your data center, building on the strengths of Amazon EKS Distro (the same Kubernetes that powers EKS on AWS.) EKS Anywhere saves you the complexity of buying or building your own management tooling to create EKS Distro clusters, configure the operating environment, update software, and handle backup and recovery. EKS Anywhere enables you to automate cluster management, reduce support costs, and eliminate the redundant effort of using multiple open source or 3rd party tools for operating Kubernetes clusters. EKS Anywhere is fully supported by AWS. -
42
Northflank
Northflank
The self-service developer platform for your apps, databases, and jobs. Start with one workload, and scale to hundreds on compute or GPUs. Accelerate every step from push to production with highly configurable self-service workflows, pipelines, templates, and GitOps. Securely deploy preview, staging, and production environments with observability tooling, backups, restores, and rollbacks included. Northflank seamlessly integrates with your preferred tooling and can accommodate any tech stack. Whether you deploy on Northflank’s secure infrastructure or on your own cloud account, you get the same exceptional developer experience, and total control over your data residency, deployment regions, security, and cloud expenses. Northflank leverages Kubernetes as an operating system to give you the best of cloud-native, without the overhead. Deploy to Northflank’s cloud for maximum simplicity, or connect your GKE, EKS, AKS, or bare-metal to deliver a managed platform experience in minutes.Starting Price: $6 per month -
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Cloud Foundry
Cloud Foundry
Cloud Foundry makes it faster and easier to build, test, deploy and scale applications, providing a choice of clouds, developer frameworks, and application services. It is an open source project and is available through a variety of private cloud distributions and public cloud instances. Cloud Foundry has a container-based architecture that runs apps in any programming language. Deploy apps to CF using your existing tools and with zero modification to the code. Instantiate, deploy, and manage high-availability Kubernetes clusters with CF BOSH on any cloud. By decoupling applications from infrastructure, you can make individual decisions about where to host workloads – on premise, in public clouds, or in managed infrastructures – and move those workloads as necessary in minutes, with no changes to the app. -
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ScaleOps
ScaleOps
Reduce Kubernetes costs by up to 80% and enhance cluster reliability by using real-time, application context-aware, automation for your most critical production environments. We are bringing a new era of cloud resource management by using our proprietary technology of real-time automation & application context awareness, unlocking the full potential of cloud-native applications. Cut your Kubernetes costs by up to 80% through our intelligent resource optimization and automated workload management, ensuring you only pay for what you need without sacrificing performance. Enhance your Kubernetes environments for peak application performance and improve cluster reliability with proactive and reactive mechanisms that automatically mitigate issues caused by sudden, unexpected bursts and stressed nodes, ensuring stability and performance. Installation takes just 2 minutes. Starting with read-only permissions, you will immediately discover the potential our platform can bring to your apps.Starting Price: $5 per month -
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Traefik
Traefik Labs
What is Traefik Enterprise Edition? TraefikEE is a cloud-native load balancer and Kubernetes ingress controller that eases networking complexity for application teams. Built on top of open source Traefik, TraefikEE brings exclusive distributed and high-availability features combined with premium bundled support for production grade deployments. Split into proxies and controllers, TraefikEE supports clustered deployments to increase security, scalability and high availability. Deploy applications anywhere, on-premises or in the cloud, and natively integrate with top-notch infrastructure tooling. Save time and give better consistency while deploying, managing, and scaling applications by leveraging dynamic and automatic TraefikEE features. Improve the application development and delivery cycle by giving developers the visibility and ownership of their services. -
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Akuity
Akuity
Start using a fully-managed Akuity platform for Argo CD. Get direct expert support from the Argo co-creators and maintainers. Leverage the industry-leading suite of Kubernetes-native application delivery software and implement GitOps inside your organization. We took Argo CD and put it in the cloud for your convenience. Created with the best developer experience in mind, the Akuity platform with end-to-end analytics is enterprise-ready from day one. Manage clusters at scale and safely deploy thousands of applications using GitOps best practices. The Argo Project is a suite of open source tools for deploying and running applications and workloads on Kubernetes. It extends the Kubernetes APIs and unlocks new and powerful capabilities in continuous delivery, container orchestration, event automation, progressive delivery, and more. Argo is a Cloud Native Computing Foundation (CNCF) incubating project and is trusted in production by leading enterprises around the world.Starting Price: $29 per month -
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dstack
dstack
dstack is an orchestration layer designed for modern ML teams, providing a unified control plane for development, training, and inference on GPUs across cloud, Kubernetes, or on-prem environments. By simplifying cluster management and workload scheduling, it eliminates the complexity of Helm charts and Kubernetes operators. The platform supports both cloud-native and on-prem clusters, with quick connections via Kubernetes or SSH fleets. Developers can spin up containerized environments that link directly to their IDEs, streamlining the machine learning workflow from prototyping to deployment. dstack also enables seamless scaling from single-node experiments to distributed training while optimizing GPU usage and costs. With secure, auto-scaling endpoints compatible with OpenAI standards, it empowers teams to deploy models quickly and reliably. -
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Paralus
Paralus
Paralus is a free, open source tool that enables controlled, audited access to Kubernetes infrastructure. It provides just-in-time service account creation and user-level credential management, integrating seamlessly with existing Role-Based Access Control (RBAC) and Single Sign-On (SSO) systems. Paralus applies zero-trust security principles, ensuring secure access to Kubernetes clusters by generating, maintaining, and revoking access configurations across clusters, projects, and namespaces. It offers both a browser-based graphical user interface and command-line interface tools for managing kubeconfigs directly from the terminal. Additionally, Paralus includes comprehensive auditing tools that provide detailed logging of activities and resource access, facilitating real-time and historical tracking. Installation is straightforward, with Helm charts available for deployment across various environments, including major cloud providers and on-premises setups.Starting Price: Free -
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Focus on your idea. IBM will make it production-ready through the automatic configuration of your development environment, seamless integration with a DevOps toolchain and easy access to add AI, database and mobile services. Autoconfigure your development, testing and production Kubernetes and Cloud Foundry environments. Use your stack or pick a pre-integrated starter kit preconfigured for cloud-native app development. Get on-demand access to a set of cloud services made for application development on Apple platforms. Step-by-step instructions for developing a cloud-native iOS app, integrating IBM Cloud services. Integrate IBM Cloud services into your Apple application, using our Swift SDKs. Build, debug and deploy your application, using our command-line interface (CLI). Follow the documentation and walk through a self-explanatory UI to generate and deploy a preconfigured application.
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Sangfor Kubernetes Engine
Sangfor
Sangfor Kubernetes Engine (SKE) is a container management platform built on upstream Kubernetes, fully integrated into Sangfor HCI and managed by Sangfor Cloud Platform, that provides a unified environment for running and managing both containers and virtual machines with simplicity, reliability, and security. Ideal for deploying new containerized applications, transitioning to microservices architectures, or consolidating existing VM workloads, SKE offers centralized account, permission, monitoring, and alert management across all workloads. Users can automate the creation of production‑ready Kubernetes clusters in as little as 15 minutes, eliminating manual OS installation and configuration, and leverage a rich set of out‑of‑the‑box components for rapid application deployment, visualized monitoring, diverse log types, and built‑in high‑performance load balancing.
