Alternatives to k0rdent

You can use your favorite debugging software to locally troubleshoot your Kubernetes services. Telepresence, an open-source tool, allows you to run one service locally and connect it to a remote Kubernetes cluster. Telepresence was initially developed by Ambassador Labs, which creates open-source development tools for Kubernetes such as Ambassador and Forge. We welcome all contributions from the community. You can help us by submitting an issue, pull request or reporting a bug. Join our active Slack group to ask questions or inquire about paid support plans. Telepresence is currently under active development. Register to receive updates and announcements. You can quickly debug locally without waiting for a container to be built/push/deployed. Ability to use their favorite local tools such as debugger, IDE, etc. Ability to run large-scale programs that aren't possible locally.

Portainer Business makes managing containers easy. It is designed to be deployed from the data centre to the edge and works with Docker, Swarm and Kubernetes. It is trusted by more than 500K users. With its super-simple GUI and its comprehensive Kube-compatible API, Portainer Business makes it easy for anyone to deploy and manage container-based applications, triage container-related issues, set up automate Git-based workflows and build CaaS environments that end users love to use. Portainer Business works with all K8s distros and can be deployed on prem and/or in the cloud. It is designed to be used in team environments where there are multiple users and multiple clusters. The product incorporates a range of security features - including RBAC, OAuth integration and logging, which makes it suitable for use in large, complex production environments. For platform managers responsible for delivering a self-service CaaS environment, Portainer includes a suite of features that help control what users can / can't do and significantly reduces the risks associated with running containers in prod. Portainer Business is fully supported and includes a comprehensive onboarding experience that ensures you get up and running.

The Industry Standard Universal Binary Repository Management Manager. All major package types supported (over 27 and growing), including Maven, npm. Python, NuGet. Gradle. Go and Helm, Kubernetes, Docker, as well as integration to leading CI servers or DevOps tools you already use. Additional functionalities include: - High availability that scales to infinity through active/active clustering in your DevOps environment. This scales as your business grows - On-Prem or Cloud, Hybrid, Multi-Cloud Solution - De Facto Kubernetes Registry for managing application packages, operating systems component dependencies, open sources libraries, Docker containers and Helm charts. Full visibility of all dependencies. Compatible with a growing number of Kubernetes cluster provider.

Deploy sophisticated applications using a secure and managed Kubernetes platform. GKE serves as a robust solution for running both stateful and stateless containerized applications, accommodating a wide range of needs from AI and ML to various web and backend services, whether they are simple or complex. Take advantage of innovative features, such as four-way auto-scaling and streamlined management processes. Enhance your setup with optimized provisioning for GPUs and TPUs, utilize built-in developer tools, and benefit from multi-cluster support backed by site reliability engineers. Quickly initiate your projects with single-click cluster deployment. Enjoy a highly available control plane with the option for multi-zonal and regional clusters to ensure reliability. Reduce operational burdens through automatic repairs, upgrades, and managed release channels. With security as a priority, the platform includes built-in vulnerability scanning for container images and robust data encryption. Benefit from integrated Cloud Monitoring that provides insights into infrastructure, applications, and Kubernetes-specific metrics, thereby accelerating application development without compromising on security. This comprehensive solution not only enhances efficiency but also fortifies the overall integrity of your deployments.

Hostman is a cloud platform that scales and deploys web applications. It automates DevOps and comes with CI/CD. This saves developers a lot of time and helps businesses save money. Hostman is intuitive and easy to use. You can host static websites, back end applications, Docker containers and databases on Hostman. Scaling has never been easier. It is easy to enable and scales your application automatically within the limits that you have set. The service is free for your static website and front-end apps. It also includes a global CDN (45 full stack edge locations with 65+ Tbps throughput) and a free SSL certificate. We offer back-end services at a very simple pricing model that uses a pay per use model. Prices start at $6.50 Our service is worldwide, so your application can be hosted anywhere in the world. Your services are hosted on AWS, Google Cloud Platform and Azure.

Kubernetes (K8s) is a powerful open-source platform designed to automate the deployment, scaling, and management of applications that are containerized. By organizing containers into manageable groups, it simplifies the processes of application management and discovery. Drawing from over 15 years of experience in handling production workloads at Google, Kubernetes also incorporates the best practices and innovative ideas from the wider community. Built on the same foundational principles that enable Google to efficiently manage billions of containers weekly, it allows for scaling without necessitating an increase in operational personnel. Whether you are developing locally or operating a large-scale enterprise, Kubernetes adapts to your needs, providing reliable and seamless application delivery regardless of complexity. Moreover, being open-source, Kubernetes offers the flexibility to leverage on-premises, hybrid, or public cloud environments, facilitating easy migration of workloads to the most suitable infrastructure. This adaptability not only enhances operational efficiency but also empowers organizations to respond swiftly to changing demands in their environments.

D2iQ Enterprise Kubernetes Platform (DKP) Enterprise Kubernetes Platform: Run Kubernetes Workloads at Scale D2iQ Kubernetes Platform (DKP): Adopt, expand, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Solve the Toughest Enterprise Kubernetes Challenges 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 * Simplify and Accelerate Kubernetes Adoption * Ensure Consistency, Security, and Performance * Expand Kubernetes Across Distributed Environments * Ensure Fast, Simple Deployment of ML and Fast Data Pipeline * Leverage Cloud Native Expertise

The Kubermatic Kubernetes Platform (KKP) facilitates digital transformation for enterprises by streamlining their cloud operations regardless of location. With KKP, operations and DevOps teams can easily oversee virtual machines and containerized workloads across diverse environments, including hybrid-cloud, multi-cloud, and edge, all through a user-friendly self-service portal designed for both developers and operations. As an open-source solution, KKP allows for the automation of thousands of Kubernetes clusters across various settings, ensuring unmatched density and resilience. It enables organizations to establish and run a multi-cloud self-service Kubernetes platform with minimal time to market, significantly enhancing efficiency. Developers and operations teams are empowered to deploy clusters in under three minutes on any infrastructure, which fosters rapid innovation. Workloads can be centrally managed from a single dashboard, providing a seamless experience whether in the cloud, on-premises, or at the edge. Furthermore, KKP supports the scalability of your cloud-native stack while maintaining enterprise-level governance, ensuring compliance and security throughout the infrastructure. This capability is essential for organizations aiming to maintain control and agility in today's fast-paced digital landscape.

dstack simplifies GPU infrastructure management for machine learning teams by offering a single orchestration layer across multiple environments. Its declarative, container-native interface allows teams to manage clusters, development environments, and distributed tasks without deep DevOps expertise. The platform integrates natively with leading GPU cloud providers to provision and manage VM clusters while also supporting on-prem clusters through Kubernetes or SSH fleets. Developers can connect their desktop IDEs to powerful GPUs, enabling faster experimentation, debugging, and iteration. dstack ensures that scaling from single-instance workloads to multi-node distributed training is seamless, with efficient scheduling to maximize GPU utilization. For deployment, it supports secure, auto-scaling endpoints using custom code and Docker images, making model serving simple and flexible. Customers like Electronic Arts, Mobius Labs, and Argilla praise dstack for accelerating research while lowering costs and reducing infrastructure overhead. Whether for rapid prototyping or production workloads, dstack provides a unified, cost-efficient solution for AI development and deployment.

Calico is a versatile open-source solution designed for networking and securing containers, virtual machines, and workloads on native hosts. It is compatible with a wide array of platforms such as Kubernetes, OpenShift, Mirantis Kubernetes Engine (MKE), OpenStack, and even bare metal environments. Users can choose between leveraging Calico's eBPF data plane or utilizing the traditional networking pipeline of Linux, ensuring exceptional performance and true scalability tailored for cloud-native applications. Both developers and cluster administrators benefit from a uniform experience and a consistent set of features, whether operating in public clouds or on-premises, on a single node, or across extensive multi-node clusters. Additionally, Calico offers flexibility in data planes, featuring options like a pure Linux eBPF data plane, a conventional Linux networking data plane, and a Windows HNS data plane. No matter if you are inclined toward the innovative capabilities of eBPF or the traditional networking fundamentals familiar to seasoned system administrators, Calico accommodates all preferences and needs effectively. Ultimately, this adaptability makes Calico a compelling choice for organizations seeking robust networking solutions.

OpenFaaS® simplifies the deployment of serverless functions and existing applications onto Kubernetes, allowing users to utilize Docker to prevent vendor lock-in. This platform is versatile, enabling operation on any public or private cloud while supporting the development of microservices and functions in a variety of programming languages, including legacy code and binaries. It offers automatic scaling in response to demand or can scale down to zero when not in use. Users have the flexibility to work on their laptops, utilize on-premises hardware, or set up a cloud cluster. With Kubernetes handling the complexities, you can create a scalable and fault-tolerant, event-driven serverless architecture for your software projects. OpenFaaS allows you to start experimenting within just 60 seconds and to write and deploy your initial Python function in approximately 10 to 15 minutes. Following that, the OpenFaaS workshop provides a comprehensive series of self-paced labs that equip you with essential skills and knowledge about functions and their applications. Additionally, the platform fosters an ecosystem that encourages sharing, reusing, and collaborating on functions, while also minimizing boilerplate code through a template store that simplifies coding. This collaborative environment not only enhances productivity but also enriches the overall development experience.

Regardless of whether your operations are confined to local data centers or you are grappling with escalating expenses associated with public cloud services, integrating private cloud virtualization is essential to your overall infrastructure strategy. Mirantis OpenStack for Kubernetes empowers you with the advantages of public cloud services while maintaining the dependable performance of OpenStack—all founded on the adaptable and robust structure of Kubernetes, allowing you to regain control over your cloud environment. As a premier open source infrastructure-as-a-service (IaaS) solution, OpenStack offers a comprehensive and mature setting tailored for managing virtual machines, networking, and storage. By merging virtualized infrastructure with the cloud-native ecosystem, Mirantis OpenStack for Kubernetes presents a user-friendly virtualization platform built on Kubernetes, ensuring maximum flexibility and reliability, which can significantly enhance your operational efficiency. This integration not only streamlines management but also aligns with modern DevOps practices, fostering a more agile and responsive IT environment.

The quickest and simplest method to implement Open Policy Agent (OPA) within Kubernetes, Microservices, or Custom APIs caters to both developers and administrators alike. Are you looking to restrict pipeline access based on on-call personnel? It's straightforward. Do you need to regulate which microservices can interact with PCI data? We've got it covered. Is proving compliance with regulatory standards across your clusters a priority? No problem at all. Styra Declarative Authorization Service is built on open-source foundations and is designed to be declarative, providing you with an efficient OPA control plane to help reduce risks, minimize human errors, and speed up development processes. With an integrated library of policies derived from our OPA project, you can easily implement and tailor authorization policies as code. The pre-running functionality allows you to oversee and validate policy modifications prior to implementation, effectively lowering risks before deployment. Furthermore, the declarative model establishes the desired state to prevent security drift and eliminate potential errors before they arise, ensuring a more secure and reliable operational environment. This comprehensive approach empowers organizations to maintain strict security protocols while streamlining their workflows.

Istio is an innovative open-source technology that enables developers to effortlessly connect, manage, and secure various microservices networks, irrespective of the platform, origin, or vendor. With a rapidly increasing number of contributors on GitHub, Istio stands out as one of the most prominent open-source initiatives, bolstered by a robust community. IBM takes pride in being a founding member and significant contributor to the Istio project, actively leading its Working Groups. On the IBM Cloud Kubernetes Service, Istio is available as a managed add-on, seamlessly integrating with your Kubernetes cluster. With just one click, users can deploy a well-optimized, production-ready instance of Istio on their IBM Cloud Kubernetes Service cluster, which includes essential core components along with tools for tracing, monitoring, and visualization. This streamlined process ensures that all Istio components are regularly updated by IBM, which also oversees the lifecycle of the control-plane components, providing users with a hassle-free experience. As microservices continue to evolve, Istio's role in simplifying their management becomes increasingly vital.

Establish your Kubernetes infrastructure and utilize KubeGrid for the seamless deployment, monitoring, and optimization of potentially thousands of clusters. KubeGrid streamlines the complete lifecycle management of Kubernetes across both on-premises and cloud environments, allowing developers to effortlessly deploy, manage, and update numerous clusters. As a Platform as Code solution, KubeGrid enables you to declaratively specify all your Kubernetes needs in a code format, covering everything from your on-prem or cloud infrastructure to the specifics of clusters and autoscaling policies, with KubeGrid handling the deployment and management automatically. While most infrastructure-as-code solutions focus solely on provisioning, KubeGrid enhances the experience by automating Day 2 operations, including monitoring infrastructure, managing failovers for unhealthy nodes, and updating both clusters and their operating systems. Thanks to its innovative approach, Kubernetes excels in the automated provisioning of pods, ensuring efficient resource utilization across your infrastructure. By adopting KubeGrid, you transform the complexities of Kubernetes management into a streamlined and efficient process.

Security and observability tailored for Kubernetes environments. Implementing security and observability as code is essential for modern cloud-native applications. This approach encompasses cloud-native security as code for various elements, including hosts, virtual machines, containers, Kubernetes components, workloads, and services, ensuring protection for both north-south and east-west traffic while facilitating enterprise security measures and maintaining continuous compliance. Furthermore, Kubernetes-native observability as code allows for the gathering of real-time telemetry, enhanced with context from Kubernetes, offering a dynamic view of interactions among components from hosts to services. This enables swift troubleshooting through machine learning-driven detection of anomalies and performance issues. Utilizing a single framework, organizations can effectively secure, monitor, and address challenges in multi-cluster, multi-cloud, and hybrid-cloud environments operating on either Linux or Windows containers. With the ability to update and deploy security policies in mere seconds, businesses can promptly enforce compliance and address any emerging issues. This streamlined process is vital for maintaining the integrity and performance of cloud-native infrastructures.

StormForge drives immediate benefits for organization through its continuous Kubernetes workload rightsizing capabilities — leading to cost savings of 40-60% along with performance and reliability improvements across the entire estate. As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the HPA at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced ML algorithms to recommend optimal resource requests and limits. Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always right-sized, and freeing developers from the toil and cognitive load of infrastructure sizing.

Control Plane is a multicloud-native, modern app platform (PaaS), built on Kubernetes. It enables you build, deploy, manage, and run microservices faster and easier with ultra high availability. Control Plane is different from other app platforms. Multicloud and multi-region: Your workloads can run in any combination of the computing power and geographical regions of AWS and GCP, Azure, and Private Clouds. Your app can be run in any region of the cloud you choose, and as long as one cloud is active, your endpoint is also available. Flexible: Microservices can access ANY service on ANY cloud (BigQuery, AD on Azure, and SQS on AWS) as if they were native without needing credentials. Fast: The cloud-native ops stack is fast for secrets management, metrics and logging, software defined VPN, geo-intelligentDN and other functions. It's integrated, preconfigured and easy to use. Efficient: Cloud consumption elastically optimized for the exact resources needed.

Exostellar is an intelligent AI infrastructure orchestration platform designed to manage complex, heterogeneous CPU and GPU environments at scale. It automates the thinking behind infrastructure operations by dynamically scaling resources, tuning workloads, and optimizing performance. Built as a single adaptive layer, Exostellar brings orchestration, optimization, and scalability together for hybrid and multi-cloud deployments. The platform enables advanced GPU and CPU management, including just-in-time provisioning and AI-assisted scheduling. Autonomous right-sizing ensures workloads always use the most efficient compute configuration. Exostellar supports vendor-agnostic environments, eliminating lock-in and increasing flexibility. Enterprise teams benefit from features like GPU virtualization, cluster orchestration, and live CPU migration without downtime. The platform dramatically improves utilization, allowing teams to run more workloads with the same infrastructure. Proven results include major gains in GPU efficiency, compute availability, and cloud cost savings. Exostellar empowers teams to focus on innovation instead of infrastructure management.

Mirantis Kubernetes Engine (formerly Docker Enterprise) gives you the power to build, run, and scale cloud native applications—the way that works for you. Increase developer efficiency and release frequency while reducing cost. Deploy Kubernetes and Swarm clusters out of the box and manage them via API, CLI, or web interface. Kubernetes, Swarm, or both Different apps—and different teams—have different container orchestration needs. Use Kubernetes, Swarm, or both depending on your specific requirements. Simplified cluster management Get up and running right out of the box—then manage clusters easily and apply updates with zero downtime using a simple web UI, CLI, or API. Integrated role-based access control (RBAC) Fine-grained security access control across your platform ensures effective separation of duties, and helps drive a security strategy built on the principle of least privilege. Identity management Easily integrate with your existing identity management solution and enable two-factor authentication to provide peace of mind that only authorized users are accessing your platform. Mirantis Kubernetes Engine works with Mirantis Container Runtime and Mirantis Secure Registry to provide security compliance.

Spectro Cloud’s Palette platform provides enterprises with a powerful and scalable solution for managing Kubernetes clusters across multiple environments, including cloud, edge, and on-premises data centers. By leveraging full-stack declarative orchestration, Palette allows teams to define cluster profiles that ensure consistency while preserving the freedom to customize infrastructure, container workloads, OS, and Kubernetes distributions. The platform’s lifecycle management capabilities streamline cluster provisioning, upgrades, and maintenance across hybrid and multi-cloud setups. It also integrates with a wide range of tools and services, including major cloud providers like AWS, Azure, and Google Cloud, as well as Kubernetes distributions such as EKS, OpenShift, and Rancher. Security is a priority, with Palette offering enterprise-grade compliance certifications such as FIPS and FedRAMP, making it suitable for government and regulated industries. Additionally, the platform supports advanced use cases like AI workloads at the edge, virtual clusters, and multitenancy for ISVs. Deployment options are flexible, covering self-hosted, SaaS, or airgapped environments to suit diverse operational needs. This makes Palette a versatile platform for organizations aiming to reduce complexity and increase operational control over Kubernetes.

Pipeshift is an adaptable orchestration platform developed to streamline the creation, deployment, and scaling of open-source AI components like embeddings, vector databases, and various models for language, vision, and audio, whether in cloud environments or on-premises settings. It provides comprehensive orchestration capabilities, ensuring smooth integration and oversight of AI workloads while being fully cloud-agnostic, thus allowing users greater freedom in their deployment choices. Designed with enterprise-level security features, Pipeshift caters specifically to the demands of DevOps and MLOps teams who seek to implement robust production pipelines internally, as opposed to relying on experimental API services that might not prioritize privacy. Among its notable functionalities are an enterprise MLOps dashboard for overseeing multiple AI workloads, including fine-tuning, distillation, and deployment processes; multi-cloud orchestration equipped with automatic scaling, load balancing, and scheduling mechanisms for AI models; and effective management of Kubernetes clusters. Furthermore, Pipeshift enhances collaboration among teams by providing tools that facilitate the monitoring and adjustment of AI models in real-time.

Wallarm provides automated real-time protection for web applications, microservices, and APIs through its advanced WAF, API safeguarding, automated incident response, and asset discovery functionalities. It effectively secures these digital assets from the OWASP Top 10 vulnerabilities, bot attacks, and application misuse without necessitating manual rule setups, all while maintaining a remarkably low rate of false positives. The platform is designed for seamless deployment across major cloud services like AWS, GCP, and Azure, as well as in hybrid cloud environments. Additionally, it boasts native compatibility with Kubernetes and service mesh architectures, making it highly versatile. Wallarm also offers adaptable rules to combat account takeover (ATO) and credential stuffing threats. This makes Wallarm the preferred choice for DevSecOps teams aiming to securely develop cloud-native applications. Furthermore, Wallarm’s API security capabilities are designed for straightforward integration with leading API gateway solutions, allowing organizations to install Wallarm effortlessly, regardless of their existing infrastructure. The comprehensive features provided by Wallarm ensure that security is effectively woven into the development lifecycle from the start.

The Apprenda Cloud Platform (ACP) equips enterprise IT with the ability to establish a Kubernetes-enabled shared service across various infrastructures, making it accessible for developers throughout different business units. This platform is designed to support the entirety of your custom application portfolio. It facilitates the swift creation, deployment, operation, and management of cloud-native, microservices, and container-based .NET and Java applications, while also allowing for the modernization of legacy workloads. ACP empowers developers with self-service access to essential tools for quick application development, all while providing IT operators with an effortless way to orchestrate environments and workflows. As a result, enterprise IT transitions into a genuine service provider role. ACP serves as a unified platform that integrates seamlessly across multiple data centers and cloud environments. Whether deployed on-premise or utilized as a managed service in the public cloud, it guarantees complete independence of infrastructure. Additionally, ACP offers policy-driven governance over the infrastructure usage and DevOps processes related to all application workloads, ensuring efficiency and compliance. This level of control not only maximizes resource utilization but also enhances collaboration between development and operations teams.

Maximize your resources. Optimize your cloud, platforms, and software. This is the new definition of application and API network operations management. All your API, application, and network operations are managed in the same place, with the same governance rules, observability and auditing. Zero-trust micro-segmentation and omni-directional traffic splitting, infrastructure agnostic authentication, and traffic management are all available to protect your resources. IT-informed decision making is possible. Massive IT operations data is generated by API, application and network monitoring and control. It is possible to access it in real-time using AI. Grey Matter makes integration easy and standardizes aggregation of all IT Operations data. You can fully leverage your mesh telemetry to secure and flexiblely future-proof your hybrid infrastructure.

IBM WebSphere Application Server offers a versatile and secure Java server runtime environment tailored for enterprise applications. It enhances application delivery through a dependable Java Enterprise Edition-based platform that supports both microservices and standard programming models, enabling you to modernize at a comfortable pace. This environment allows for improved visibility across various workloads, facilitates the analysis of enterprise applications, and supports your transition to Kubernetes. Additionally, it empowers you to deploy and manage applications and services seamlessly, regardless of time, location, or device type. With integrated management and administrative tools, it ensures heightened security and control, while also providing support for multicloud environments to accommodate your preferred deployment strategies. Continuous delivery capabilities and services are designed to keep pace with your business's evolving demands, ultimately allowing for greater responsiveness. This comprehensive solution positions your enterprise for long-term success in a rapidly changing technological landscape.

Open-source solutions for Kubernetes enable efficient workflow management, cluster administration, and effective GitOps practices. These Kubernetes-native workflow engines allow for the implementation of both Directed Acyclic Graph (DAG) and step-based workflows, promoting a declarative approach to continuous delivery alongside a comprehensive user interface. They simplify advanced deployment strategies, such as Canary and Blue-Green, to streamline the process. Argo Workflows stands out as an open-source, container-native engine specifically designed for orchestrating parallel jobs within Kubernetes environments, implemented as a Custom Resource Definition (CRD). Users can design complex, multi-step workflows by arranging tasks sequentially or representing their dependencies through a graphical model. This capability enables the execution of demanding computational tasks, such as machine learning or data processing, significantly faster when utilizing Argo Workflows on Kubernetes. Moreover, CI/CD pipelines can be executed natively on Kubernetes, eliminating the need for complicated configurations typically associated with traditional software development tools. Built specifically for container environments, these tools avoid the burdens and constraints that come with legacy virtual machine and server-based systems, paving the way for more efficient operational practices. This makes Argo Workflows an essential component for modern cloud-native development strategies.

Simplifying Multi-Cloud and Multi-Cluster Kubernetes application deployment and migration is now easier than ever with CAPE. Unlock the full potential of your Kubernetes capabilities with its key features, including Disaster Recovery that allows seamless backup and restore for stateful applications. With robust Data Mobility and Migration, you can securely manage and transfer applications and data across on-premises, private, and public cloud environments. CAPE also facilitates Multi-cluster Application Deployment, enabling stateful applications to be deployed efficiently across various clusters and clouds. Its intuitive Drag & Drop CI/CD Workflow Manager simplifies the configuration and deployment of complex CI/CD pipelines, making it accessible for users at all levels. The versatility of CAPE™ enhances Kubernetes operations by streamlining Disaster Recovery processes, facilitating Cluster Migration and Upgrades, ensuring Data Protection, enabling Data Cloning, and expediting Application Deployment. Moreover, CAPE provides a comprehensive control plane for federating clusters and managing applications and services seamlessly across diverse environments. This innovative tool brings clarity and efficiency to Kubernetes management, ensuring your applications thrive in a multi-cloud landscape.

Anyscale is a configurable AI platform that unifies tools and infrastructure to accelerate the development, deployment, and scaling of AI and Python applications using Ray. At its core is RayTurbo, an enhanced version of the open-source Ray framework, optimized for faster, more reliable, and cost-effective AI workloads, including large language model inference. The platform integrates smoothly with popular developer environments like VSCode and Jupyter notebooks, allowing seamless code editing, job monitoring, and dependency management. Users can choose from flexible deployment models, including hosted cloud services, on-premises machine pools, or existing Kubernetes clusters, maintaining full control over their infrastructure. Anyscale supports production-grade batch workloads and HTTP services with features such as job queues, automatic retries, Grafana observability dashboards, and high availability. It also emphasizes robust security with user access controls, private data environments, audit logs, and compliance certifications like SOC 2 Type II. Leading companies report faster time-to-market and significant cost savings with Anyscale’s optimized scaling and management capabilities. The platform offers expert support from the original Ray creators, making it a trusted choice for organizations building complex AI systems.

Thundra helps application teams to develop, debug, test, and monitor modern microservices on the cloud. By offering everything from automated instrumentation to cloud app debugging and test optimization in a single platform, Thundra eliminates the need for multiple tools for pre-production & production environments. Thundra offers 2 products: Thundra Foresight, to help you monitor & troubleshoot your CI workflows & tests. The second product is Thundra APM, which is an application performance monitoring for serverless and containers.

To thrive in today's competitive digital landscape, enterprises must automate a wide array of applications, platforms, and technologies to effectively deliver services. Service Orchestration and Automation Platforms play a crucial role in scaling IT operations and maximizing the benefits of automation; they enable the management of intricate workflows that span various platforms, including ERP systems and business applications, from mainframes to microservices across multi-cloud environments. Additionally, it is vital to optimize big data pipelines, allowing data scientists to utilize self-service options while ensuring extensive scalability and robust governance over data flows. Organizations must also deliver compute, networking, and storage resources both on-premises and in the cloud to support development and business users. Automic Automation offers the agility, speed, and reliability necessary for successful digital business automation, providing a unified platform that centralizes orchestration and automation functions to facilitate and expedite digital transformation efforts effectively. With these capabilities, businesses can seamlessly adapt to changing demands while maintaining operational efficiency.

Small to large-scale infrastructure services, including virtual machines, containers, and bare metal. Ormuco Infrastructure as a Service, or Ormuco Stack, is your all-in one software solution. Containers - Enjoy the full power and benefits microservices. Kubernetes: Maximize your potential with the most popular container orchestration software. OpenStack - Innovation comes from using the latest stable version of the platform and engine. Software-Defined Every - Provides highly scalable network, compute and storage /w both high-range and commodity equipment.

Mogenius offers an all-in-one platform that integrates visibility, observability, and automation for effective Kubernetes management. By connecting and visualizing your Kubernetes clusters and workloads, it ensures that the entire team has access to crucial insights. You can easily pinpoint misconfigurations within your workloads and take corrective measures directly through the mogenius interface. The platform streamlines Kubernetes operations with features like service catalogs, enabling developer self-service, and creating ephemeral environments. This self-service capability simplifies the deployment process for developers, allowing them to work more efficiently. Additionally, mogenius helps optimize resource allocation and prevents configuration drift through the use of standardized, automated workflows. By eliminating redundant tasks and promoting the reuse of resources with service catalogs, your team can enhance productivity. Gain complete visibility into your Kubernetes infrastructure and deploy a cloud-agnostic Kubernetes operator for a holistic view of your clusters and workloads. Furthermore, developers can quickly establish local and ephemeral testing environments that replicate the production setup in just a few clicks, ensuring a seamless development experience. Ultimately, mogenius empowers teams to manage their Kubernetes environments with greater ease and efficiency.

Cloudfleet provides a Kubernetes experience that spans from datacenters to the cloud and edge, ensuring it meets its intended purpose. With just-in-time infrastructure, automated updates, and sophisticated permissions management, users can effortlessly oversee their clusters through a unified interface. As a comprehensive multi-cloud and hybrid Kubernetes solution, Cloudfleet streamlines the setup of your infrastructure by enabling automatic server provisioning across both on-premises settings and a dozen different cloud service providers, enhancing efficiency and flexibility for your operations. This approach not only minimizes the complexity of managing diverse environments but also empowers users to focus more on their core objectives.

Spot Ocean empowers users to harness the advantages of Kubernetes while alleviating concerns about infrastructure management, all while offering enhanced cluster visibility and significantly lower expenses. A crucial inquiry is how to effectively utilize containers without incurring the operational burdens tied to overseeing the underlying virtual machines, while simultaneously capitalizing on the financial benefits of Spot Instances and multi-cloud strategies. To address this challenge, Spot Ocean is designed to operate within a "Serverless" framework, effectively managing containers by providing an abstraction layer over virtual machines, which facilitates the deployment of Kubernetes clusters without the need for VM management. Moreover, Ocean leverages various compute purchasing strategies, including Reserved and Spot instance pricing, and seamlessly transitions to On-Demand instances as required, achieving an impressive 80% reduction in infrastructure expenditures. As a Serverless Compute Engine, Spot Ocean streamlines the processes of provisioning, auto-scaling, and managing worker nodes within Kubernetes clusters, allowing developers to focus on building applications rather than managing infrastructure. This innovative approach not only enhances operational efficiency but also enables organizations to optimize their cloud spending while maintaining robust performance and scalability.

CloudKnit is a progressive delivery platform that is open-source and designed for the management of cloud environments. It features user-friendly dashboards that facilitate the visualization and monitoring of these environments. Users can define entire environments in a clear and straightforward YAML format, allowing for a declarative approach to configuration. By using this declarative format, organizations can efficiently provision their environments, identify and address any drift, and dismantle resources when they are no longer necessary. The platform includes a control plane that oversees the state of the environment, ensuring proper management of resource dependencies as well as drift detection and reconciliation. Furthermore, the Environment as Code (EaC) abstraction simplifies the utilization of cloud-native tools, making the entire process more streamlined. With CloudKnit, users benefit from a powerful tool that enhances the management and organization of their cloud environments.

Anthos enables the creation, deployment, and management of applications in a secure and uniform way, regardless of location. It facilitates the modernization of legacy applications operating on virtual machines while simultaneously allowing for the launch of cloud-native applications utilizing containers in a complex hybrid and multi-cloud landscape. By offering a seamless development and operational experience across all deployments, Anthos significantly lowers operational burdens and enhances developer efficiency. Anthos GKE serves as a robust container orchestration and management solution, suitable for running Kubernetes clusters both in cloud environments and on-premises. Anthos Config Management allows organizations to define, automate, and enforce policies across various environments, ensuring adherence to specific security and compliance standards. Furthermore, Anthos Service Mesh alleviates the challenges faced by operations and development teams, enabling them to effectively manage and secure service traffic while also monitoring and optimizing application performance. This comprehensive platform thus supports businesses in navigating the complexities of modern application development and deployment.

Calico Enterprise offers a comprehensive security platform designed for full-stack observability specifically tailored for containers and Kubernetes environments. As the sole active security solution in the industry that integrates this capability, Calico Enterprise leverages Kubernetes' declarative approach to define security and observability as code, ensuring that security policies are consistently enforced and compliance is maintained. This platform also enhances troubleshooting capabilities across various deployments, including multi-cluster, multi-cloud, and hybrid architectures. Furthermore, it facilitates the implementation of zero-trust workload access controls that regulate traffic to and from individual pods, bolstering the security of your Kubernetes cluster. Users can also create DNS policies that enforce precise access controls between workloads and the external services they require, such as Amazon RDS and ElastiCache, thereby enhancing the overall security posture of the environment. In addition, this proactive approach allows organizations to adapt quickly to changing security requirements while maintaining seamless connectivity.

You can accelerate your development by using a storage platform that integrates with Kubernetes. While you focus on running your application we ensure that you have the persistent volumes you need to give you the stability and scale you require. Integrating stateful storage into Kubernetes will simplify your app modernization process and increase efficiency. You can run your database or any other persistent workload in a Kubernetes-based environment without worrying about managing the storage layer. Ondat allows you to provide a consistent storage layer across all platforms. We provide persistent volumes that allow you to run your own databases, without having to pay for expensive hosted options. Kubernetes data layer management is yours to take back. Kubernetes-native storage that supports dynamic provisioning. It works exactly as it should. API-driven, tight integration to your containerized applications.

Kuma is an open-source control plane designed for service mesh that provides essential features such as security, observability, and routing capabilities. It is built on the Envoy proxy and serves as a contemporary control plane for microservices and service mesh, compatible with both Kubernetes and virtual machines, allowing for multiple meshes within a single cluster. Its built-in architecture supports L4 and L7 policies to facilitate zero trust security, traffic reliability, observability, and routing with minimal effort. Setting up Kuma is a straightforward process that can be accomplished in just three simple steps. With Envoy proxy integrated, Kuma offers intuitive policies that enhance service connectivity, ensuring secure and observable interactions between applications, services, and even databases. This powerful tool enables the creation of modern service and application connectivity across diverse platforms, cloud environments, and architectures. Additionally, Kuma seamlessly accommodates contemporary Kubernetes setups alongside virtual machine workloads within the same cluster and provides robust multi-cloud and multi-cluster connectivity to meet the needs of the entire organization effectively. By adopting Kuma, teams can streamline their service management and improve overall operational efficiency.

Emma gives you the ability to select the most suitable cloud providers and environments, allowing for adaptation to evolving demands while maintaining simplicity and control. It streamlines cloud management by integrating services and automating essential tasks, thereby minimizing complexity. The platform also enhances cloud resource optimization automatically, guaranteeing full utilization and lowering overhead costs. By supporting open standards, it offers flexibility that liberates businesses from dependency on specific vendors. With real-time monitoring and optimization of data traffic, it effectively prevents unexpected cost spikes through efficient resource allocation. You can establish your cloud infrastructure across various providers and environments, whether on-premises, private, hybrid, or public. Management of your consolidated cloud environment is made easy through a single, user-friendly interface. Additionally, you can gain crucial visibility to enhance infrastructure performance and reduce expenditures. By reclaiming control over your entire cloud ecosystem, you can also ensure compliance with regulatory standards while fostering innovation and growth. This comprehensive approach empowers businesses to stay competitive in an ever-changing digital landscape.

The journey of AI advancement commences right now. Modular offers a cohesive and adaptable collection of tools designed to streamline your AI infrastructure, allowing your team to accelerate development, deployment, and innovation. Its inference engine brings together various AI frameworks and hardware, facilitating seamless deployment across any cloud or on-premises setting with little need for code modification, thereby providing exceptional usability, performance, and flexibility. Effortlessly transition your workloads to the most suitable hardware without the need to rewrite or recompile your models. This approach helps you avoid vendor lock-in while capitalizing on cost efficiencies and performance gains in the cloud, all without incurring migration expenses. Ultimately, this fosters a more agile and responsive AI development environment.

Civo is a cloud-native service provider focused on delivering fast, simple, and cost-effective cloud infrastructure for modern applications and AI workloads. The platform features managed Kubernetes clusters with rapid 90-second launch times, helping developers accelerate development cycles and scale with ease. Alongside Kubernetes, Civo offers compute instances, managed databases, object storage, load balancers, and high-performance cloud GPUs powered by NVIDIA A100, including environmentally friendly carbon-neutral options. Their pricing is predictable and pay-as-you-go, ensuring transparency and no surprises for businesses. Civo supports machine learning workloads with fully managed auto-scaling environments starting at $250 per month, eliminating the need for ML or Kubernetes expertise. The platform includes comprehensive dashboards and developer tools, backed by strong compliance certifications such as ISO27001 and SOC2. Civo also invests in community education through its Academy, meetups, and extensive documentation. With trusted partnerships and real-world case studies, Civo helps businesses innovate faster while controlling infrastructure costs.

Kuma provides an enterprise service mesh that seamlessly operates across multiple clouds and clusters, whether on Kubernetes or virtual machines. With just a single command, users can deploy the service mesh and automatically connect to other services through its integrated service discovery features, which include Ingress resources and remote control planes. This solution is versatile enough to function in any environment, efficiently managing resources across multi-cluster, multi-cloud, and multi-platform settings. By leveraging native mesh policies, organizations can enhance their zero-trust and GDPR compliance initiatives, thereby boosting the performance and productivity of application teams. The architecture allows for the deployment of a singular control plane that can effectively scale horizontally to accommodate numerous data planes, or to support various clusters, including hybrid service meshes that integrate both Kubernetes and virtual machines. Furthermore, cross-zone communication is made easier with Envoy-based ingress deployments across both environments, coupled with a built-in DNS resolver for optimal service-to-service interactions. Built on the robust Envoy framework, Kuma also offers over 50 observability charts right out of the box, enabling the collection of metrics, traces, and logs for all Layer 4 to Layer 7 traffic, thereby providing comprehensive insights into service performance and health. This level of observability not only enhances troubleshooting but also contributes to a more resilient and reliable service architecture.

You can take a shortcut to DevOps excellence. You can create, deploy, and monitor your Stacks without writing a line of code. Cycleops is an online Cloud Management Platform that includes full stack orchestration, monitoring and reporting. Cycleops offers easy-to use tools to set up and manage workflows for resources and workloads in the Cloud. Streamline your software development and increase productivity. Develop a culture of collaboration between Operations and Development teams. Standardizing your environments and applications is a great DevOps practice to reduce technology variability and create simpler architectures. You can keep track of the health and performance of your applications in multi-cloud environments. You can take full control of your cloud IT resources without sacrificing innovation, flexibility, and productivity. Cycleops is a software vendor scaling platform that combines best-of-breed DevOps automation with Cloud management.