Alternatives to Rafay
Compare Rafay alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Rafay in 2026. Compare features, ratings, user reviews, pricing, and more from Rafay 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
Run advanced apps on a secured and managed Kubernetes service. GKE is an enterprise-grade platform for containerized applications, including stateful and stateless, AI and ML, Linux and Windows, complex and simple web apps, API, and backend services. Leverage industry-first features like four-way auto-scaling and no-stress management. Optimize GPU and TPU provisioning, use integrated developer tools, and get multi-cluster support from SREs. Start quickly with single-click clusters. Leverage a high-availability control plane including multi-zonal and regional clusters. Eliminate operational overhead with auto-repair, auto-upgrade, and release channels. Secure by default, including vulnerability scanning of container images and data encryption. Integrated Cloud Monitoring with infrastructure, application, and Kubernetes-specific views. Speed up app development without sacrificing security.
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3
AWS Fargate
Amazon
AWS Fargate is a serverless compute engine for containers that works with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). Fargate makes it easy for you to focus on building your applications. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Fargate allocates the right amount of compute, eliminating the need to choose instances and scale cluster capacity. You only pay for the resources required to run your containers, so there is no over-provisioning and paying for additional servers. Fargate runs each task or pod in its own kernel providing the tasks and pods their own isolated compute environment. This enables your application to have workload isolation and improved security by design. -
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D2iQ
D2iQ
D2iQ Enterprise Kubernetes Platform (DKP) Run Kubernetes Workloads at Scale DKP includes everything you need to ease Kubernetes adoption, expand Kubernetes use, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Built to Solve the Toughest Enterprise Kubernetes Challenges Created to accelerate the journey to production at scale, DKP provides a single, centralized point of control to build, run, and manage applications across any infrastructure. Enable Day 2 Readiness Out-of-the-Box Without Lock-In DKP takes care of the heavy lifting by providing a comprehensive, enterprise-grade Kubernetes distribution and a full stack of CNCF-certified Day 2 platform applications that are integrated, automated, and tested at scale for an out-of-the-box, production-ready experience. -
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Appvia Wayfinder
Appvia
Appvia Wayfinder is a trusted infrastructure operations platform designed to increase developer velocity. It enables platform teams to operate at scale by providing self-service guardrails for standardisation. Supporting integration with AWS, Azure, and more, Wayfinder offers self-service provisioning of environments and cloud resources using a catalogue of manageable Terraform modules. Its built-in principles of isolation and least privilege ensure secure default configurations, while granting fine-grained control to platform teams over underlying CRDs. It offers centralized control and visibility over clusters, apps, and cloud resources across various clouds. Additionally, Wayfinder's cloud automation capability supports safe deployments and upgrades through the use of ephemeral clusters and namespaces. Choose Appvia Wayfinder for streamlined, secure, and efficient infrastructure management.Starting Price: $0.035 US per vcpu per hour -
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Spectro Cloud Palette
Spectro Cloud
Spectro Cloud’s Palette is a comprehensive Kubernetes management platform designed to simplify and unify the deployment, operation, and scaling of Kubernetes clusters across diverse environments—from edge to cloud to data center. It provides full-stack, declarative orchestration, enabling users to blueprint cluster configurations with consistency and flexibility. The platform supports multi-cluster, multi-distro Kubernetes environments, delivering lifecycle management, granular access controls, cost visibility, and optimization. Palette integrates seamlessly with cloud providers like AWS, Azure, Google Cloud, and popular Kubernetes services such as EKS, OpenShift, and Rancher. With robust security features including FIPS and FedRAMP compliance, Palette addresses needs of government and regulated industries. It offers flexible deployment options—self-hosted, SaaS, or airgapped—ensuring organizations can choose the best fit for their infrastructure and security requirements. -
7
Azure Kubernetes Fleet Manager
Microsoft
Easily handle multicluster scenarios for Azure Kubernetes Service (AKS) clusters such as workload propagation, north-south load balancing (for traffic flowing into member clusters), and upgrade orchestration across multiple clusters. Fleet cluster enables centralized management of all your clusters at scale. The managed hub cluster takes care of the upgrades and Kubernetes cluster configuration for you. Kubernetes configuration propagation lets you use policies and overrides to disseminate objects across fleet member clusters. North-south load balancer orchestrates traffic flow across workloads deployed in multiple member clusters of the fleet. Group any combination of your Azure Kubernetes Service (AKS) clusters to simplify multi-cluster workflows like Kubernetes configuration propagation and multi-cluster networking. Fleet requires a hub Kubernetes cluster to store configurations for placement policy and multicluster networking.Starting Price: $0.10 per cluster per hour -
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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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9
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. -
10
SF Compute
SF Compute
SF Compute is a marketplace platform that offers on-demand access to large-scale GPU clusters, letting users rent powerful compute resources by the hour, not requiring long-term contracts or heavy upfront commitments. You can choose between virtual machine nodes or Kubernetes clusters (with InfiniBand support for high-speed interconnects), and specify the number of GPUs, duration, and start time as needed. It supports flexible “buy blocks” of compute; for example, you might request 256 NVIDIA H100 GPUs for three days at a capped hourly rate, or scale down/up dynamically depending on budget. For Kubernetes clusters, spin-up times are fast (about 0.5 seconds); VMs take around 5 minutes. Storage is robust, including 1.5+ TB NVMe and 1 TB + RAM, and there are no data transfer (ingress/egress) fees, so you don’t pay to move data. SF Compute’s architecture abstracts physical infrastructure behind a real-time spot-market and dynamic scheduler.Starting Price: $1.48 per hour -
11
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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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. -
13
K8Studio
K8Studio
Welcome to K8 Studio, your ultimate cross-platform client IDE for effortless Kubernetes cluster management. Seamlessly deploy to popular platforms such as EKS, GKE, AKS, or your dedicated bare metal setup. Experience the power of connecting to your cluster with an intuitive interface, providing a visual representation of nodes, pods, services, and more. Gain instant access to logs, detailed element descriptions, and a bash terminal, all with a simple click. Elevate your Kubernetes experience with K8Studio's user-friendly features. The grid view allows for a comprehensive tabular display of all Kubernetes objects. The left bar enables the selection of specific object types, and this view is entirely interactive and updated in real time. Users can seamlessly search and filter objects by namespace, and rearrange columns. Organizes workloads, services, ingresses, and volumes by namespace and instance. Visualize object connections for a rapid pod count and status check.Starting Price: $17 per month -
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Chkk
Chkk
Prioritize your top business-critical risks with clear and actionable insights. Continuously harden your Kubernetes availability. Learn from others and avoid repeating their mistakes. Eliminate risks before they cause incidents. Stay up to date with visibility across all your infrastructure layers. Catalog containers, clusters, add-ons, and dependencies. Consolidate insights across clouds, on-prem, and more. Get alerted about all EOL and incompatible versions. Never use spreadsheets or custom scripts again. Chkk’s mission is to enable developers to proactively prevent incidents from happening by learning from others and not repeating known mistakes. Chkk's collective learning technology mines and curates known errors, failures, and disruptions that the Kubernetes community (comprising users/operators, cloud providers, and vendors) has encountered, ensuring that past mistakes are not repeated. -
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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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Apache Mesos
Apache Software Foundation
Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments. Native support for launching containers with Docker and AppC images.Support for running cloud native and legacy applications in the same cluster with pluggable scheduling policies. HTTP APIs for developing new distributed applications, for operating the cluster, and for monitoring. Built-in Web UI for viewing cluster state and navigating container sandboxes. -
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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. -
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SUSE Rancher Prime
SUSE
SUSE Rancher Prime addresses the needs of DevOps teams deploying applications with Kubernetes and IT operations delivering enterprise-critical services. SUSE Rancher Prime supports any CNCF-certified Kubernetes distribution. For on-premises workloads, we offer the RKE. We support all the public cloud distributions, including EKS, AKS, and GKE. At the edge, we offer K3s. SUSE Rancher Prime provides simple, consistent cluster operations, including provisioning, version management, visibility and diagnostics, monitoring and alerting, and centralized audit. SUSE Rancher Prime lets you automate processes and applies a consistent set of user access and security policies for all your clusters, no matter where they’re running. SUSE Rancher Prime provides a rich catalogue of services for building, deploying, and scaling containerized applications, including app packaging, CI/CD, logging, monitoring, and service mesh. -
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Kubegrade
Kubegrade
Kubegrade is a cloud-based Kubernetes management platform that simplifies and automates complex Kubernetes operations, making it easier for engineering and platform teams to upgrade, secure, monitor, troubleshoot, optimize, and scale clusters while keeping humans in control. It visualizes cluster state and dependencies, detects configuration drift and deprecated APIs, and uses AI-assisted insights to propose fixes as GitOps-ready pull requests that teams can review and approve, reducing manual toil and aligning cluster deployments with infrastructure as code. Kubegrade’s lifecycle automation covers secure upgrades, patching, cost attribution, rightsizing, centralized monitoring and logging, security enforcement, and troubleshooting with intelligent agents that predict issues and continuously analyze real-time telemetry, helping reduce downtime, mitigate risk, and improve reliability at scale.Starting Price: $300 per month -
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K3s
K3s
K3s is a highly available, certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Both ARM64 and ARMv7 are supported with binaries and multiarch images available for both. K3s works great from something as small as a Raspberry Pi to an AWS a1.4xlarge 32GiB server. Lightweight storage backend based on sqlite3 as the default storage mechanism. etcd3, MySQL, Postgres also still available. Secure by default with reasonable defaults for lightweight environments. Simple but powerful “batteries-included” features have been added, such as: a local storage provider, a service load balancer, a Helm controller, and the Traefik ingress controller. Operation of all Kubernetes control plane components is encapsulated in a single binary and process. This allows K3s to automate and manage complex cluster operations like distributing certificates. -
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Percona Kubernetes Operator
Percona
The Percona Kubernetes Operator for Percona XtraDB Cluster or Percona Server for MongoDB automates the creation, alteration, or deletion of members in your Percona XtraDB Cluster or Percona Server for MongoDB environment. It can be used to instantiate a new Percona XtraDB Cluster or Percona Server for MongoDB replica set, or to scale an existing environment. The Operator contains all necessary Kubernetes settings to provide a proper and consistent Percona XtraDB Cluster or Percona Server for MongoDB instance. The Percona Kubernetes Operators are based on best practices for configuration and setup of a Percona XtraDB Cluster or Percona Server for MongoDB replica set. The benefits of the Operator are many but saving time and delivering a consistent and vetted environment is key.Starting Price: Free -
22
Devtron
Devtron
Devtron is an AI-native, Kubernetes-focused DevOps platform designed to simplify and unify the entire lifecycle of application delivery, infrastructure management, and operations within a single control plane. It combines core DevOps capabilities such as CI/CD, GitOps, security, observability, cost management, and debugging into one integrated interface, eliminating the need to manage multiple disconnected tools and dashboards. It acts as a centralized control layer for Kubernetes environments, allowing teams to deploy, monitor, manage, and troubleshoot applications across multi-cloud or on-prem clusters with full visibility and governance. It includes Kubernetes-native CI/CD pipelines with no-code workflows, multi-environment orchestration, approval-based deployments, and reusable templates, enabling faster and more reliable software delivery while reducing manual effort.Starting Price: $999 per month -
23
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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Tetrate
Tetrate
Connect and manage applications across clusters, clouds, and data centers. Coordinate app connectivity across heterogeneous infrastructure from a single management plane. Integrate traditional workloads into your cloud-native application infrastructure. Create tenants within your business to define fine-grained access control and editing rights for teams on shared infrastructure. Audit the history of changes to services and shared resources from day zero. Automate traffic shifting across failure domains before your customers notice. TSB sits at the application edge, at cluster ingress, and between workloads in your Kubernetes and traditional compute clusters. Edge and ingress gateways route and load balance application traffic across clusters and clouds while the mesh controls connectivity between services. A single management plane configures connectivity, security, and observability for your entire application network. -
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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. -
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Karpenter
Amazon
Karpenter simplifies Kubernetes infrastructure with the right nodes at the right time. Karpenter is an open source, high-performance Kubernetes cluster autoscaler that simplifies infrastructure management by automatically launching the appropriate compute resources to handle your cluster's applications. Designed to leverage the full potential of the cloud, Karpenter enables fast and straightforward compute provisioning for Kubernetes clusters. It enhances application availability by swiftly responding to changes in application load, scheduling, and resource requirements, efficiently placing new workloads onto a variety of available computing resources. By identifying opportunities to remove under-utilized nodes, replace costly nodes with more economical alternatives, and consolidate workloads onto more efficient compute resources, Karpenter effectively reduces cluster compute costs.Starting Price: Free -
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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 -
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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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NVIDIA Brev
NVIDIA
NVIDIA Brev is a cloud-based platform that provides instant access to fully configured GPU environments optimized for AI and machine learning development. Its Launchables feature offers prebuilt, customizable compute setups that let developers start projects quickly without complex setup or configuration. Users can create Launchables by specifying GPU resources, Docker images, and project files, then share them easily with collaborators. The platform also offers prebuilt Launchables featuring the latest AI frameworks, microservices, and NVIDIA Blueprints to jumpstart development. NVIDIA Brev provides a seamless GPU sandbox with support for CUDA, Python, and Jupyter Lab accessible via browser or CLI. This enables developers to fine-tune, train, and deploy AI models with minimal friction and maximum flexibility.Starting Price: $0.04 per hour -
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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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Spot Ocean
Spot by NetApp
Spot Ocean lets you reap the benefits of Kubernetes without worrying about infrastructure while gaining deep cluster visibility and dramatically reducing costs. The key question is how to use containers without the operational overhead of managing the underlying VMs while also take advantage of the cost benefits associated with Spot Instances and multi-cloud. Spot Ocean is built to solve this problem by managing containers in a “Serverless” environment. Ocean provides an abstraction on top of virtual machines allowing to deploy Kubernetes clusters without the need to manage the underlying VMs. Ocean takes advantage of multiple compute purchasing options like Reserved and Spot instance pricing and failover to On-Demand instances whenever necessary, providing 80% reduction in infrastructure costs. Spot Ocean is a Serverless Compute Engine that abstracts the provisioning (launching), auto-scaling, and management of worker nodes in Kubernetes clusters. -
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Azure Blueprints
Microsoft
Simplify largescale Azure deployments by packaging key environment artifacts, such as Azure Resource Manager templates, role-based access controls, and policies, in a single blueprint definition. Easily apply the blueprint to new subscriptions and environments, and fine-tune control and management through versioning. Easily create your cloud governance templates, access controls, and policies as a single compliant package so environments are ready to be configured. Deploy blueprints to multiple subscriptions with a single click. Manage blueprints from a central location and track blueprint versions to push updates. Speed deployment of compliant applications to production through a self-service model, and easily deploy compliant environments matched to production standards. Use blank templates for custom blueprints or built-in blueprints for compliance with common internal scenarios and external regulations like ISO 27001. -
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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. -
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Calico Cloud
Tigera
Pay-as-you-go security and observability SaaS platform for containers, Kubernetes, and cloud. Get a live view of dependencies and how all the services are communicating with each other in a multi-cluster, hybrid and multi-cloud environment. Eliminate setup and onboarding steps and troubleshoot your Kubernetes security and observability issues within minutes. Calico Cloud is a next-generation security and observability SaaS platform for containers, Kubernetes, and cloud. It enables organizations of all sizes to protect their cloud workloads and containers, detect threats, achieve continuous compliance, and troubleshoot service issues in real-time across multi-cluster, multi-cloud, and hybrid deployments. Calico Cloud is built on Calico Open Source, the most widely adopted container networking and security solution. Instead of managing a platform for container and Kubernetes security and observability, teams consume it as a managed service for faster analysis, relevant actions, etc.Starting Price: $0.05 per node hour -
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Tencent Cloud EKS
Tencent
EKS is community-driven and supports the latest Kubernetes version as well as native Kubernetes cluster management. It is ready-to-use in the form of a plugin to support Tencent Cloud products for storage, networking, load balancing, and more. EKS is built on Tencent Cloud's well-developed virtualization technology and network architecture, providing 99.95% service availability. Tencent Cloud ensures the virtual and network isolation of EKS clusters between users. You can configure network policies for specific products using security groups, network ACL, etc. The serverless framework of EKS ensures higher resource utilization and lower OPS costs. Flexible and efficient auto scaling ensures that EKS only consumes the amount of resources required by the current load. EKS provides solutions that meet different business needs and can be integrated with most Tencent Cloud services, such as CBS, CFS, COS, TencentDB products, VPC and more. -
36
Apolo
Apolo
Access readily available dedicated machines with pre-configured professional AI development tools, from dependable data centers at competitive prices. From HPC resources to an all-in-one AI platform with an integrated ML development toolkit, Apolo covers it all. Apolo can be deployed in a distributed architecture, as a dedicated enterprise cluster, or as a multi-tenant white-label solution to support dedicated instances or self-service cloud. Right out of the box, Apolo spins up a full-fledged AI-centric development environment with all the tools you need at your fingertips. Apolo manages and automates the infrastructure and processes for successful AI development at scale. Apolo's AI-centric services seamlessly stitch your on-prem and cloud resources, deploy pipelines, and integrate your open-source and commercial development tools. Apolo empowers enterprises with the tools and resources necessary to achieve breakthroughs in AI.Starting Price: $5.35 per hour -
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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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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. -
39
NVIDIA DGX Cloud Lepton
NVIDIA
NVIDIA DGX Cloud Lepton is an AI platform that connects developers to a global network of GPU compute across multiple cloud providers through a single platform. It offers a unified experience to discover and utilize GPU resources, along with integrated AI services to streamline the deployment lifecycle across multiple clouds. Developers can start building with instant access to NVIDIA’s accelerated APIs, including serverless endpoints, prebuilt NVIDIA Blueprints, and GPU-backed compute. When it’s time to scale, DGX Cloud Lepton powers seamless customization and deployment across a global network of GPU cloud providers. It enables frictionless deployment across any GPU cloud, allowing AI applications to be deployed across multi-cloud and hybrid environments with minimal operational burden, leveraging integrated services for inference, testing, and training workloads. -
40
Podman
Containers
What is Podman? Podman is a daemonless container engine for developing, managing, and running OCI Containers on your Linux System. Containers can either be run as root or in rootless mode. Simply put: alias docker=podman. Manage pods, containers, and container images. Supporting docker swarm. We believe that Kubernetes is the defacto standard for composing Pods and for orchestrating containers, making Kubernetes YAML a defacto standard file format. Hence, Podman allows the creation and execution of Pods from a Kubernetes YAML file (see podman-play-kube). Podman can also generate Kubernetes YAML based on a container or Pod (see podman-generate-kube), which allows for an easy transition from a local development environment to a production Kubernetes cluster. -
41
Amazon EC2 UltraClusters
Amazon
Amazon EC2 UltraClusters enable you to scale to thousands of GPUs or purpose-built machine learning accelerators, such as AWS Trainium, providing on-demand access to supercomputing-class performance. They democratize supercomputing for ML, generative AI, and high-performance computing developers through a simple pay-as-you-go model without setup or maintenance costs. UltraClusters consist of thousands of accelerated EC2 instances co-located in a given AWS Availability Zone, interconnected using Elastic Fabric Adapter (EFA) networking in a petabit-scale nonblocking network. This architecture offers high-performance networking and access to Amazon FSx for Lustre, a fully managed shared storage built on a high-performance parallel file system, enabling rapid processing of massive datasets with sub-millisecond latencies. EC2 UltraClusters provide scale-out capabilities for distributed ML training and tightly coupled HPC workloads, reducing training times. -
42
Replex
Replex
Configure policies to manage and govern cloud-native environments without impacting agility or speed. Allocate budgets to individual teams or projects, keep track of costs, govern resource usage and generate real-time alerts for cost overruns. Track the complete asset life cycle from ownership and creation to modification and termination. Understand detailed resource consumption patterns and costs associated with decentralized development teams while engaging developers in creating value with each and every deployment. Ensure microservices, containers, pods, and Kubernetes clusters have the most efficient resource footprint possible without compromising reliability, availability, or performance. Replex allows you to right size Kubernetes nodes and cloud instances based on historical and real-time utilization data and is a single source of truth for all performance-critical metrics. -
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Verda
Verda
Verda is a frontier AI cloud platform delivering premium GPU servers, clusters, and model inference services powered by NVIDIA®. Built for speed, scalability, and simplicity, Verda enables teams to deploy AI workloads in minutes with pay-as-you-go pricing. The platform offers on-demand GPU instances, custom-managed clusters, and serverless inference with zero setup. Verda provides instant access to high-performance NVIDIA Blackwell GPUs, including B200 and GB300 configurations. All infrastructure runs on 100% renewable energy, supporting sustainable AI development. Developers can start, stop, or scale resources instantly through an intuitive dashboard or API. Verda combines dedicated hardware, expert support, and enterprise-grade security to deliver a seamless AI cloud experience.Starting Price: $3.01 per hour -
44
MicroK8s
Canonical
Low-ops, minimal production Kubernetes, for devs, cloud, clusters, workstations, Edge and IoT. MicroK8s automatically chooses the best nodes for the Kubernetes datastore. When you lose a cluster database node, another node is promoted. No admin needed for your bulletproof edge. MicroK8s is small, with sensible defaults that ‘just work’. A quick install, easy upgrades and great security make it perfect for micro clouds and edge computing. Full enterprise support available, with no subscription needed. Optional 24/7 support with 10 year security maintenance. Under the cell tower. On the racecar. On satellites or everyday appliances, MicroK8s delivers the full Kubernetes experience on IoT and micro clouds. Fully containerized deployment with compressed over-the-air updates for ultra-reliable operations. MicroK8s will apply security updates automatically by default, defer them if you want. Upgrade to a newer version of Kubernetes with a single command. It’s really that easy. -
45
Solo Enterprise
Solo Enterprise
Solo Enterprise provides a unified cloud-native application networking and connectivity platform that helps enterprises securely connect, scale, manage, and observe APIs, microservices, and intelligent AI workloads across distributed environments, especially Kubernetes-based and multi-cluster infrastructures. Its core capabilities are built on open source technologies such as Envoy and Istio and include Gloo Gateway for omnidirectional API management (handling external, internal, and third-party traffic with security, authentication, traffic routing, observability, and analytics), Gloo Mesh for centralized multi-cluster service mesh control (simplifying service-to-service connectivity and security across clusters), and Agentgateway/Gloo AI Gateway for secure, governed LLM/AI agent traffic with guardrails and integration support. -
46
Bluebricks
Bluebricks
Bluebricks enables companies to create stable, governed cloud environments from reusable blueprints. No need to depend on DevOps for every request. The platform uses environment orchestration to work with existing Infrastructure as Code tools like Terraform and Helm. It adds AI capabilities to maintain consistency and eliminate configuration errors. Teams get self-service infrastructure provisioning while maintaining centralized governance and security controls across any cloud provider. The platform supports AWS, Google Cloud, Azure, Oracle, and Kubernetes environments. Organizations can transform complex deployments into standardized, reusable blueprints that work across environments. Automatic dependency tracking prevents breaking changes, while built-in RBAC and policy enforcement maintain enterprise security requirements. Bluebricks serves as the backend for internal developer portals, providing developers with infrastructure capabilities without sacrificing control. -
47
Tencent Container Registry
Tencent
Tencent Container Registry (TCR) offers secure, dedicated, and high-performance container image hosting and distribution service. You can create dedicated instances in multiple regions across the globe and pull container images from the nearest region to reduce pulling time and bandwidth costs. To guarantee data security, TCR features granular permission management and access control. It also supports P2P accelerated distribution to break through the performance bottleneck due to concurrent pulling of large images by large-scale clusters, helping you quickly expand and update businesses. You can customize image synchronization rules and triggers, and use TCR flexibly with your existing CI/CD workflow to quickly implement container DevOps. TCR instance adopts containerized deployment. You can dynamically adjust the service capability based on actual usage to manage sudden surges in business traffic. -
48
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 -
49
Zhixing Cloud
Zhixing Cloud
Zhixing Cloud is a GPU computing platform offering low-investment cloud computing with no space, electricity, or bandwidth costs, accessible via high-speed fiber optics for unrestricted access. It supports elastic GPU deployment for applications such as AIGC, deep learning, cloud gaming, rendering and mapping, metaverse, and HPC. The platform provides high cost-effectiveness, speed, and flexibility, ensuring that costs are solely directed toward the business itself, alleviating concerns about idle computing power. AI Galaxy offers solutions including computing power cluster construction, digital human development, support for university scientific research, artificial intelligence, metaverse projects, rendering and mapping, and biomedicine. The platform's advantages include continuous hardware updates, open and upgradeable software, integrated services providing a full-stack deep learning environment, and user-friendly operations without the need for installation.Starting Price: $0.10 per hour -
50
Amazon EC2 Capacity Blocks for ML enable you to reserve accelerated compute instances in Amazon EC2 UltraClusters for your machine learning workloads. This service supports Amazon EC2 P5en, P5e, P5, and P4d instances, powered by NVIDIA H200, H100, and A100 Tensor Core GPUs, respectively, as well as Trn2 and Trn1 instances powered by AWS Trainium. You can reserve these instances for up to six months in cluster sizes ranging from one to 64 instances (512 GPUs or 1,024 Trainium chips), providing flexibility for various ML workloads. Reservations can be made up to eight weeks in advance. By colocating in Amazon EC2 UltraClusters, Capacity Blocks offer low-latency, high-throughput network connectivity, facilitating efficient distributed training. This setup ensures predictable access to high-performance computing resources, allowing you to plan ML development confidently, run experiments, build prototypes, and accommodate future surges in demand for ML applications.
