Alternatives to Traefik Mesh
Compare Traefik Mesh alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Traefik Mesh in 2026. Compare features, ratings, user reviews, pricing, and more from Traefik Mesh competitors and alternatives in order to make an informed decision for your business.
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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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Kuma
Kuma
The open-source control plane for service mesh, delivering security, observability, routing and more. Built on top of Envoy, Kuma is a modern control plane for Microservices & Service Mesh for both K8s and VMs, with support for multiple meshes in one cluster. Out of the box L4 + L7 policy architecture to enable zero trust security, observability, discovery, routing and traffic reliability in one click. Getting up and running with Kuma only requires three easy steps. Natively embedded with Envoy proxy, Kuma Delivers easy to use policies that can secure, observe, connect, route and enhance service connectivity for every application and services, databases included. Build modern service and application connectivity across every platform, cloud and architecture. Kuma supports modern Kubernetes environments and Virtual Machine workloads in the same cluster, with native multi-cloud and multi-cluster connectivity to support the entire organization. -
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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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Toil-free traffic management for your service mesh. Service mesh is a powerful abstraction that's become increasingly popular to deliver microservices and modern applications. In a service mesh, the service mesh data plane, with service proxies like Envoy, moves the traffic around and the service mesh control plane provides policy, configuration, and intelligence to these service proxies. Traffic Director is GCP's fully managed traffic control plane for service mesh. With Traffic Director, you can easily deploy global load balancing across clusters and VM instances in multiple regions, offload health checking from service proxies, and configure sophisticated traffic control policies. Traffic Director uses open xDSv2 APIs to communicate with the service proxies in the data plane, which ensures that you are not locked into a proprietary interface.
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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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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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Netmaker
Netmaker
Netmaker is an open source tool based on the groundbreaking WireGuard protocol. Netmaker unifies distributed environments with ease, from multi-cloud to Kubernetes. Netmaker enhances Kubernetes clusters by providing flexible and secure networking for cross-environment scenarios. Netmaker uses WireGuard for modern, secure encryption. It is built with zero trust in mind, utilizes access control lists, and follows leading industry standards for secure networking. Netmaker enables you to create relays, gateways, full VPN meshes, and even zero trust networks. Netmaker is fully configurable to let you maximize the power of Wireguard. -
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F5 Aspen Mesh empowers companies to drive more performance from their modern app environment by leveraging the power of their service mesh. As part of F5, Aspen Mesh is focused on delivering enterprise-class products that enhance companies’ modern app environments. Deliver new and differentiating features faster with microservices. Aspen Mesh lets you do that at scale, with confidence. Reduce the risk of downtime and improve your customers’ experience. If you’re scaling microservices to production on Kubernetes, Aspen Mesh will help you get the most out of your distributed systems. Aspen Mesh empowers companies to drive more performance from their modern app environment by leveraging the power of their service mesh. Alerts that decrease the risk of application failure or performance degradation based on data and machine learning models. Secure Ingress safely exposes enterprise apps to customers and the web.
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Anthos Service Mesh
Google
Designing your applications as microservices provides many benefits. However, your workloads can become complex and fragmented as they scale. Anthos Service Mesh is Google's implementation of the powerful Istio open source project, which allows you to manage, observe, and secure services without having to change your application code. Anthos Service Mesh simplifies service delivery, from managing mesh telemetry and traffic to protecting communications between services, significantly reducing the burden on development and operations teams. Anthos Service Mesh is Google's fully managed service mesh, allowing you to easily manage these complex environments and reap all the benefits they offer. As a fully managed offering, Anthos Service Mesh takes the guesswork and effort out of purchasing and managing your service mesh solution. Focus on building great apps and let us take care of the mesh. -
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AWS App Mesh
Amazon Web Services
AWS App Mesh is a service mesh that provides application-level networking to facilitate communication between your services across various types of computing infrastructure. App Mesh offers comprehensive visibility and high availability for your applications. Modern applications are generally made up of multiple services. Each service can be developed using various types of compute infrastructure, such as Amazon EC2, Amazon ECS, Amazon EKS, and AWS Fargate. As the number of services within an application grows, it becomes difficult to pinpoint the exact location of errors, redirect traffic after errors, and safely implement code changes. Previously, this required creating monitoring and control logic directly in your code and redeploying your services every time there were changes.Starting Price: Free -
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The always-free NGINX Service Mesh scales from open source projects to a fully supported, secure, and scalable enterprise‑grade solution. Take control of Kubernetes with NGINX Service Mesh, featuring a unified data plane for ingress and egress management in a single configuration. The real star of NGINX Service Mesh is the fully integrated, high-performance data plane. Leveraging the power of NGINX Plus to operate highly available and scalable containerized environments, our data plane brings a level of enterprise traffic management, performance, and scalability to the market that no other sidecars can offer. It provides the seamless and transparent load balancing, reverse proxy, traffic routing, identity, and encryption features needed for production-grade service mesh deployments. When paired with the NGINX Plus-based version of NGINX Ingress Controller, it provides a unified data plane that can be managed with a single configuration.
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Istio is an open technology that provides a way for developers to seamlessly connect, manage and secure networks of different microservices — regardless of platform, source or vendor. Istio is currently one of the fastest-growing open-source projects based on Github contributors, and its strength is its community. IBM is proud to be a founder and contributor of the Istio project and a leader of Istio Working Groups. Istio on IBM Cloud Kubernetes Service is offered as a managed add-on that integrates Istio directly with your Kubernetes cluster. A single click deploys a tuned, production-ready Istio instance on your IBM Cloud Kubernetes Service cluster. A single click runs Istio core components and tracing, monitoring and visualization tools. IBM Cloud updates all Istio components and manages the control-plane component's lifecycle.
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Buoyant Cloud
Buoyant
Fully managed Linkerd, right on your cluster. Running a service mesh shouldn’t require a team of engineers. Buoyant Cloud manages Linkerd so that you don’t have to. Automate away the toil. Buoyant Cloud automatically keeps your Linkerd control plane and data plane up to date with the latest versions and handles installs, trust anchor rotation, and more. Automate upgrades, installs, and more. Keep data plane proxy versions always in sync. Rotate TLS trust anchors without breaking a sweat. Never get taken unaware. Buoyant Cloud continuously monitors the health of your Linkerd deployments and proactively alerts you of potential issues before they escalate. Automatically track service mesh health. Get a global, cross-cluster view of Linkerd's behavior. Monitor and report Linkerd best practices. Forget overly-complicated solutions that pile one layer of complexity on top of another. Linkerd just works, and Buoyant Cloud makes Linkerd easier than ever.¿ -
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Ambient Mesh
Ambient Mesh
Ambient Mesh is a next-generation, sidecar-less service mesh designed to simplify security, connectivity, and observability for cloud-native workloads. It enables teams to secure and connect applications without modifying application code or adding operational overhead. Ambient Mesh provides zero-trust, SPIFFE-based security with end-to-end workload encryption. Built-in observability tools deliver distributed tracing, logs, and real-time performance insights. The platform supports advanced traffic control features such as routing, failover, and blue-green deployments. Ambient Mesh allows organizations to migrate from traditional sidecar-based meshes with zero downtime. By reducing complexity and resource usage, it helps teams operate more efficiently at scale. -
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Meshery
Meshery
Describe all of your cloud native infrastructure and manage as a pattern. Design your service mesh configuration and workload deployments. Apply intelligent canary strategies and performance profiles with service mesh pattern management. Assess your service mesh configuration against deployment and operational best practices with Meshery's configuration validator. Validate your service mesh's conformance to Service Mesh Interface (SMI) specifications. Dynamically load and manage your own WebAssembly filters in Envoy-based service meshes. Service mesh adapters provision, configure, and manage their respective service meshes. -
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Linkerd
Buoyant
Linkerd adds critical security, observability, and reliability features to your Kubernetes stack—no code change required. Linkerd is 100% Apache-licensed, with an incredibly fast-growing, active, and friendly community. Built in Rust, Linkerd's data plane proxies are incredibly small (<10 mb) and blazing fast (p99 < 1ms). No complex APIs or configuration. For most applications, Linkerd will “just work” out of the box. Linkerd's control plane installs into a single namespace, and services can be safely added to the mesh, one at a time. Get a comprehensive suite of diagnostic tools, including automatic service dependency maps and live traffic samples. Best-in-class observability allows you to monitor golden metrics—success rate, request volume, and latency—for every service. -
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Nutanix Karbon Platform Services
Nutanix
Karbon Platform Services (KPS) by Nutanix is a Kubernetes-based multicloud Platform-as-a-Service (PaaS) designed to accelerate the development and deployment of microservices-based applications across any cloud. It offers a rich set of managed services, including Kubernetes applications (Containers-as-a-Service), serverless functions (Functions-as-a-Service), global data pipelines, streaming data and message bus (Kafka-aaS, NATS-aaS), AI services (Tensorflow-aaS, Openvino-aaS), ingress controller and service mesh (nginx/traefik-aaS, Istio-aaS), application monitoring and alerting (Prometheus-aaS), and log forwarding. KPS provides simple, SaaS-based multicloud operations, allowing operators to benefit from simplified operations and uniform application, data, and security lifecycle management, regardless of the underlying cloud. Developers can write applications once and deploy them across any cloud through the SaaS-based application lifecycle manager. -
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Kiali
Kiali
Kiali is a management console for Istio service mesh. Kiali can be quickly installed as an Istio add-on or trusted as a part of your production environment. Using Kiali wizards to generate application and request routing configuration. Kiali provides Actions to create, update and delete Istio configuration, driven by wizards. Kiali offers a robust set of service actions, with accompanying wizards. Kiali provides a list and detailed views for your mesh components. Kiali provides filtered list views of all your service mesh definitions. Each view provides health, details, YAML definitions and links to help you visualize your mesh. Overview is the default Tab for any detail page. The overview tab provides detailed information, including health status, and a detailed mini-graph of the current traffic involving the component. The full set of tabs, as well as the detailed information, varies based on the component type. -
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ServiceStage
Huawei Cloud
Deploys your applications using containers, VMs, or serverless, and easily implements auto scaling, performance analysis, and fault diagnosis. Supports native Spring Cloud and Dubbo frameworks and Service Mesh, provides all-scenario capabilities, and supports mainstream languages such as Java, Go, PHP, Node.js, and Python. Supports cloud-native transformation of Huawei core services, meeting strict performance, usability, and security compliance requirements. Development frameworks, running environments, and common components are available for web, microservice, mobile, and AI applications. Full management of applications throughout the entire process, including deployment and upgrade. Monitoring, events, alarms, logs, and tracing diagnosis, and built-in AI capabilities, making O&M easy. Creates a flexibly customizable application delivery pipeline with only a few clicks.Starting Price: $0.03 per hour-instance -
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Network Service Mesh
Network Service Mesh
A common flat vL3 domain allowing DBs running in multiple clusters/clouds/hybrid to communicate just with each other for DB replication. Workloads from multiple companies connecting to a single ‘collaborative’ Service Mesh for cross company interactions. Each workload has a single option of what connectivity domain to be connected to, and only workloads in a given runtime domain could be part of its connectivity domain. In short: Connectivity Domains are Strongly Coupled to Runtime Domains. A central tenant of Cloud Native is Loose Coupling. In a Loosely Coupled system, the ability for each workload to receive service from alternative providers is preserved. What Runtime Domain a workload is running in is a non-sequitur to its communications needs. Workloads that are part of the same App need Connectivity between each other no matter where they are running.Starting Price: Free -
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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. -
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greymatter.io
greymatter.io
Maximize your resources. Ensure optimal use of your clouds, platforms, and software. This is application and API network operations management redefined. The same governance rules, observability, auditing, and policy control for every application, API, and network across your multi-cloud, data center and edge environments, all in one place. Zero-trust micro-segmentation, omni-directional traffic splitting, infrastructure agnostic attestation, and traffic management to secure your resources. IT-informed decision-making is real. Application, API & network monitoring and control generate massive IT operations data. Use it in real time through AI. Logging, metrics, tracing, and audits through Grey Matter simplifies integration and standardizes aggregation for all IT Operations data. Fully leverage your mesh telemetry and securely and flexibly future-proof your hybrid infrastructure. -
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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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Istio
Istio
Connect, secure, control, and observe services. Istio’s traffic routing rules let you easily control the flow of traffic and API calls between services. Istio simplifies configuration of service-level properties like circuit breakers, timeouts, and retries, and makes it easy to set up important tasks like A/B testing, canary rollouts, and staged rollouts with percentage-based traffic splits. It also provides out-of-box failure recovery features that help make your application more robust against failures of dependent services or the network. Istio Security provides a comprehensive security solution to solve these issues. This page gives an overview on how you can use Istio security features to secure your services, wherever you run them. In particular, Istio security mitigates both insider and external threats against your data, endpoints, communication, and platform. Istio generates detailed telemetry for all service communications within a mesh. -
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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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meshIQ
meshIQ
Middleware Observability & Management Software for Messaging, Event Processing, and Streaming Across Hybrid Cloud (MESH). - Complete observability and monitoring of Integration MESH with 360° Situational Awareness® - Securely manage, and automate configuration, administration, and deployment - Track, trace, and analyze transactions, messages and flows - Collect, monitor, and benchmark MESH performance meshIQ delivers granular access controls to manage configurations across the MESH to reduce downtime and quick recovery from outages. Provides the ability to find, browse, track, and trace messages to detect bottlenecks and speeding up root-cause analysis. Unlocks the integration blackbox to deliver visibility across the MESH infrastructure to visualize, analyze, report, and predict. Delivers the ability to trigger automated actions based on pre-defined criteria or intelligent actions determined by AI/ML. -
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kagent
kagent
kagent is an open source, cloud-native AI agent framework designed to let teams build, deploy, and run autonomous AI agents directly inside Kubernetes clusters to automate complex operational tasks, troubleshoot cloud-native systems, and manage workloads without constant human intervention. It enables DevOps and platform engineers to create intelligent agents that understand natural language, plan, reason, and execute multi-step actions across Kubernetes environments using built-in tools and Model Context Protocol (MCP)-compatible tool integrations for functions like querying metrics, displaying pod logs, managing resources, and interacting with service meshes. It supports multiple model providers (such as OpenAI, Anthropic, and others), agent-to-agent communication for orchestrating sophisticated workflows, and observability features that help teams monitor agent behavior and performance.Starting Price: Free -
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Altinity
Altinity
Altinity's expert engineering team can implement everything from core ClickHouse features to Kubernetes operator behavior to client library improvements. A flexible docker-based GUI manager for ClickHouse that can do the following: Install ClickHouse clusters; Add, delete, and replace nodes; Monitor cluster status; Help with troubleshooting and diagnostics. 3rd party tools and software integrations: Ingest: Kafka, ClickTail; APIs: Python, Golang, ODBC, Java; Kubernetes; UI tools: Grafana, Superset, Tabix, Graphite; Databases: MySQL, PostgreSQL; BI tools: Tableau and many more. Altinity.Cloud incorporates lessons from helping hundreds of customers operate ClickHouse-based analytics. Altinity.Cloud has a Kubernetes-based architecture that delivers portability and user choice of where to operate. Designed from the beginning to run anywhere without lock-in. Cost management is critical for SaaS businesses. -
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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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Syself
Syself
Managing Kubernetes shouldn't be a headache. With Syself Autopilot, both beginners and experts can deploy and maintain enterprise-grade clusters with ease. Say goodbye to downtime and complexity—our platform ensures automated upgrades, self-healing capabilities, and GitOps compatibility. Whether you're running on bare metal or cloud infrastructure, Syself Autopilot is designed to handle your needs, all while maintaining GDPR-compliant data protection. Syself Autopilot integrates with leading DevOps and infrastructure solutions, allowing you to build and scale applications effortlessly. Our platform supports: - Argo CD, Flux (GitOps & CI/CD) - MariaDB, PostgreSQL, MySQL, MongoDB, ClickHouse (Databases) - Grafana, Istio, Redis, NATS (Monitoring & Service Mesh) Need additional solutions? Our team helps you deploy, configure, and optimize your infrastructure for peak performance.Starting Price: €299/month -
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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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TriggerMesh
TriggerMesh
TriggerMesh believes developers will increasingly build applications as a mesh of cloud-native functions and services from multiple cloud providers and on-premises. We believe this architecture is the best way for agile businesses to deliver effortless digital experiences. TriggerMesh is the first product that leverages Kubernetes and Knative to provide application integration across clouds and on-premises. With TriggerMesh, you can automate enterprise workflows by connecting applications, cloud services, and serverless functions. Cloud-native applications are becoming more popular. As a result, the number of functions that are hosted across disparate cloud infrastructure is proliferating. TriggerMesh breaks down cloud silos to provide true cross-cloud portability and interoperability -
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Radar
Radar
Radar is an open source Kubernetes visibility and observability tool designed to simplify how developers and DevOps teams interact with their clusters by providing a fast, unified interface for monitoring resources, events, and system behavior in real time. It runs as a lightweight single binary that can be executed locally or deployed inside a cluster, requiring no agents, cloud accounts, or additional infrastructure, and ensuring that all data stays within the user’s environment. It aggregates critical Kubernetes information, such as topology, workloads, Helm releases, GitOps resources, traffic flows, and event timelines, into a single visual dashboard, allowing users to quickly understand relationships between components like deployments, services, and pods. It provides real-time updates directly from the Kubernetes API using watch-based mechanisms, enabling instant visibility into changes such as crashes, scaling events, or configuration updates without polling.Starting Price: $99 per month -
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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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Kyverno
Kyverno
Kyverno is a policy engine designed for Kubernetes. With Kyverno, policies are managed as Kubernetes resources and no new language is required to write policies. This allows using familiar tools such as kubectl, Git, and Kustomize to manage policies. Kyverno policies can validate, mutate, and generate Kubernetes resources plus ensure OCI image supply chain security. The Kyverno CLI can be used to test policies and validate resources as part of a CI/CD pipeline. Kyverno allows cluster administrators to manage environment specific configurations independently of workload configurations and enforce configuration best practices for their clusters. Kyverno can be used to scan existing workloads for best practices, or can be used to enforce best practices by blocking or mutating API requests. Block non-conformant resources using admission controls, or report policy violations. -
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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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Skaffold
Skaffold
Skaffold is an open source command-line tool that streamlines the development workflow for Kubernetes applications. It automates the processes of building, pushing, and deploying your application, allowing you to focus on writing code. Skaffold supports various tools and technologies, offering flexibility in choosing your preferred build and deployment methods. It features a pluggable architecture, enabling integration with different implementations of the build and deploy stages. Skaffold is lightweight, operating entirely on the client side without adding overhead or maintenance burdens to your Kubernetes cluster. It facilitates fast local Kubernetes development by detecting source code changes and handling the pipeline to build, push, test, and deploy your application automatically. Skaffold also provides continuous feedback by managing deployment logging and resource port-forwarding. Its context-aware capabilities allow the use of profiles, local user configurations, etc.Starting Price: Free -
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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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Kubevious
Kubevious
Kubevious helps you avoid breaking apps and producing bad or conflicting configurations. It brings operational safety to your apps and makes your teams efficient and successful, without interfering with existing DevOps processes. Kubevious helps Kubernetes operators to quickly identify configuration specifics, inconsistencies, compliance, and best practices violations. Kubevious application-centric UI is unique. By correlating configurations, it allows operators to be efficient and get the most out of Kubernetes. Kubevious validates and enforces cloud-native best practices. Achieve ultimate safety across all domains: application configuration, state, RBAC, storage, networking, service mesh, and more. Kubernetes operators love the user friendly and intuitive interface provided by Kubevious. Kubevious is equipped with rules engine which was purposely build to enforce application and cloud native best practices in Kubernetes. -
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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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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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KServe
KServe
Highly scalable and standards-based model inference platform on Kubernetes for trusted AI. KServe is a standard model inference platform on Kubernetes, built for highly scalable use cases. Provides performant, standardized inference protocol across ML frameworks. Support modern serverless inference workload with autoscaling including a scale to zero on GPU. Provides high scalability, density packing, and intelligent routing using ModelMesh. Simple and pluggable production serving for production ML serving including prediction, pre/post-processing, monitoring, and explainability. Advanced deployments with the canary rollout, experiments, ensembles, and transformers. ModelMesh is designed for high-scale, high-density, and frequently-changing model use cases. ModelMesh intelligently loads and unloads AI models to and from memory to strike an intelligent trade-off between responsiveness to users and computational footprint.Starting Price: Free -
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Porter
Porter
Porter deploys your applications into your own cloud account in just a few clicks. Get started quickly on Porter, and customize your infrastructure freely as you scale. With a few clicks, Porter will spin up a Kubernetes cluster that's production-ready out of the box, along with other auxiliary infrastructure such as VPC, load balancers, and image registries. Link up your Git repository and let Porter handle the rest. Porter will build your application using Dockerfiles or Buildpacks and automatically configure CI/CD using GitHub Actions that you can customize later. Assign resources, add environment variables, and customize networking - it's your own Kubernetes cluster under the hood, anything can be configured. Porter monitors your cluster constantly to ensure scalability.Starting Price: $6 per month -
45
NVIDIA Base Command Manager
NVIDIA
NVIDIA Base Command Manager offers fast deployment and end-to-end management for heterogeneous AI and high-performance computing clusters at the edge, in the data center, and in multi- and hybrid-cloud environments. It automates the provisioning and administration of clusters ranging in size from a couple of nodes to hundreds of thousands, supports NVIDIA GPU-accelerated and other systems, and enables orchestration with Kubernetes. The platform integrates with Kubernetes for workload orchestration and offers tools for infrastructure monitoring, workload management, and resource allocation. Base Command Manager is optimized for accelerated computing environments, making it suitable for diverse HPC and AI workloads. It is available with NVIDIA DGX systems and as part of the NVIDIA AI Enterprise software suite. High-performance Linux clusters can be quickly built and managed with NVIDIA Base Command Manager, supporting HPC, machine learning, and analytics applications. -
46
CAPE
Biqmind
Multi-Cloud, Multi-Cluster Kubernetes App Deployment & Migration Made Simple. Unleash your K8s superpower with CAPE. Key Features. Disaster Recovery. Stateful application backup and restore for Disaster Recovery Data Mobility & Migration. Secure application & data management and migration across on-prem, private and public clouds. Multi-cluster Application Deployment. Stateful application deployment across multi-cluster & multi-cloud. Drag & Drop CI/CD Workflow Manager. Simplified UI for complex CI/CD pipeline configuration & deployment. CAPE for K8s Disaster Recovery Cluster Migration Cluster Upgrades Data Migration Data Protection Data Cloning App Deployment. CAPE™ radically simplifies advanced Kubernetes functionalities such as Disaster Recovery, Data Mobility & Migration, Multi-cluster Application Deployment, and CI/CD across on-prem, private and public clouds. Multi-Cluster Application Deployment. Control plane to federate clusters, manage application and servicesStarting Price: $20 per month -
47
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. -
48
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. -
49
ARMO
ARMO
ARMO pioneers a new approach to Cloud Security with an open source powered, behavioral driven, Cloud Runtime Security Platform. ARMOs CADR (Cloud App Detection & Response) solution addresses a major unsolved pain point for organizations running on cloud-native architectures: how to continuously protect dynamic workloads during runtime without overwhelming teams with alerts or interrupting operations. ARMO CADR continuously reduces the cloud attack surface using real-time runtime insights, while actively detecting and responding to threats with true risk context. It includes 2 major products that are tightly integrated together and are part of one platform solution - * Kubernetes-First, runtime driven, Cloud Security Posture mgmt (CSPM) - identifying risks, prioritizing them and offering remediation without breaking applications in production * Real-Time Threat Detection & Response - detecting and responding to active threats across the entire cloud and applications stack -
50
VMware Avi Load Balancer
Broadcom
Simplify application delivery with software-defined load balancers, web application firewall, and container ingress services for any application in any data center and cloud. Simplify administration with centralized policies and operational consistency across on-premises data centers, and hybrid and public clouds, including VMware Cloud (VMC on AWS, OCVS, AVS, GCVE), AWS, Azure, Google, and Oracle Cloud. Free infrastructure teams from manual tasks and enable DevOps teams with self-service. Application delivery automation toolkits include Python SDK, RESTful APIs, Ansible and Terraform integrations. Gain unprecedented insights, including network, end users and security, with real-time application performance monitoring, closed-loop analytics and deep machine learning.
