Alternatives to CloudNatix

IBM Kubecost offers immediate visibility and insights into costs for teams utilizing Kubernetes, enabling ongoing reductions in cloud expenses. You can analyze costs associated with various Kubernetes elements, such as deployments, services, and namespace labels. Monitor expenses from multiple clusters in one consolidated view or through a unified API endpoint. Additionally, link Kubernetes expenditures with any external cloud services or infrastructure costs to gain a holistic understanding of your spending. Costs from external sources can be allocated to specific Kubernetes components, providing a thorough overview of financial outlays. Receive actionable suggestions for cost savings that do not compromise performance, allowing you to refine infrastructure or application modifications for enhanced resource efficiency and reliability. With real-time alerts, you can swiftly identify potential cost overruns and risks of infrastructure failures before they escalate into larger issues. Maintain seamless engineering workflows by integrating Kubecost with collaboration tools like PagerDuty and Slack, ensuring that your teams stay informed and responsive. Ultimately, this comprehensive approach empowers organizations to optimize their Kubernetes spending effectively.

At Massdriver, we believe in prevention, not permission. Our self-service platform lets ops teams encode their expertise and your organization’s non-negotiables into pre-approved infrastructure modules—using familiar IaC tools like Terraform, Helm, or OpenTofu. Each module embeds policy, security, and cost controls, transforming raw configuration into functional software assets that streamline multi-cloud deployments across AWS, Azure, GCP, and Kubernetes. By centralizing provisioning, secrets management, and RBAC, Massdriver cuts overhead for ops teams while empowering developers to visualize and deploy resources without bottlenecks. Built-in monitoring, alerting, and metrics retention reduce downtime and expedite incident resolution, driving ROI through proactive issue detection and optimized spend. No more juggling brittle pipelines—ephemeral CI/CD automatically spins up based on the tooling in each module. Scale faster and safer with unlimited projects and cloud accounts while ensuring compliance at every step. Massdriver—fast by default, safe by design.

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.

OpenCost is an open-source initiative that is vendor-neutral, designed to measure and allocate costs associated with cloud infrastructure and containers in real-time. Developed by experts in Kubernetes and backed by practitioners in the field, OpenCost brings transparency to the often opaque spending patterns associated with Kubernetes. It offers flexible and customizable options for cost allocation and monitoring of cloud resources, facilitating accurate showback, chargeback, and continuous reporting. The tool provides real-time cost allocation that can be examined down to individual containers, ensuring precise tracking of expenses. It effectively allocates costs for in-cluster resources, including CPU, GPU, memory, load balancers, and persistent volumes. Additionally, OpenCost features dynamic asset pricing by integrating with billing APIs from AWS, Azure, and GCP, while also accommodating on-premises Kubernetes clusters with tailored pricing solutions. Beyond the Kubernetes cluster, it can monitor expenses from cloud providers related to resources such as object storage and databases, as well as other managed services. Furthermore, it seamlessly integrates with other open-source tools, allowing for convenient exports of pricing data to platforms like Prometheus, enhancing its utility in cost management. This makes OpenCost a comprehensive solution for organizations seeking to maintain control over their cloud spending effectively.

Only StackRox offers an all-encompassing view of your cloud-native environment, covering everything from images and container registries to Kubernetes deployment settings and container runtime activities. With its robust integration into Kubernetes, StackRox provides insights specifically tailored to deployments, equipping security and DevOps teams with a thorough understanding of their cloud-native systems, which includes images, containers, pods, namespaces, clusters, and their respective configurations. You gain quick insights into potential risks within your environment, your compliance standing, and any suspicious traffic that may be occurring. Each overview allows you to delve deeper into specifics. Furthermore, StackRox simplifies the process of identifying and scrutinizing container images in your environment, thanks to its native integrations and support for nearly all types of image registries, making it a vital tool for maintaining security and efficiency.

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.

All public and private environments can be managed from one platform with a single CI/CD plug-in that connects to ALL automation toolchains. This plugin supports Jenkins, Kubernetes and Terraform as well as Cloud Formation, Azure ARm, Cloud Formation, Cloud Formation, and many other automation toolchains. No installation, no downloading... and free on us for the first thirty days. Integration with infrastructure orchestration domains such as AWS Cloud formation and Azure ARM, Ansible, Terraform, and Terraform. Service Composition Domain-Specific Language - This simplifies the relationship between services and handles cascading workflows. Shared resources, distributed life-cycle management, and more. Orchestration of cloud native Kubernetes service across multiple clusters using OpenShift and KubeSpray. A blueprint is available to automate the configuration and setup of clusters. Integration with Jenkins and other CI/CD platforms. This integration provides a 'one stop-shop' for all orchestration domains that can be integrated to your CI/CD pipeline.

Cloud Custodian empowers users to oversee their cloud assets through a system of filtering, tagging, and executing various actions. Utilizing a YAML domain-specific language, it allows for the creation of rules that help maintain a cloud infrastructure which is not only secure but also optimized for cost efficiency. By streamlining the process, it replaces complex cloud-specific scripts with more straightforward syntax, ensuring that policies are effectively applied across your infrastructure. The tool is compatible with major public cloud platforms such as AWS, Azure, and GCP, with additional support for Kubernetes, Tencent Cloud, and OpenStack currently in beta. It actively enforces security measures by seamlessly integrating with the control plane of cloud providers, enabling real-time remediation of issues. In addition, it features comprehensive metrics and reporting capabilities. Users can schedule resources to be turned off during non-peak hours to minimize expenses, while also identifying and removing unused assets by analyzing utilization metrics. Tagging capabilities allow for easy management of underused resources. Furthermore, Cloud Custodian can be executed in various environments, whether locally, on an instance, or in a serverless format through AWS Lambda, providing flexibility in deployment options. This versatility makes it a vital tool for efficient cloud resource management.

Introducing K8 Studio, the premier cross-platform client IDE designed for streamlined management of Kubernetes clusters. Effortlessly deploy your applications across leading platforms like EKS, GKE, AKS, or even on your own bare metal infrastructure. Enjoy the convenience of connecting to your cluster through a user-friendly interface that offers a clear visual overview of nodes, pods, services, and other essential components. Instantly access logs, receive in-depth descriptions of elements, and utilize a bash terminal with just a click. K8 Studio enhances your Kubernetes workflow with its intuitive features. With a grid view for a detailed tabular representation of Kubernetes objects, users can easily navigate through various components. The sidebar allows for the quick selection of object types, ensuring a fully interactive experience that updates in real time. Users benefit from the ability to search and filter objects by namespace, as well as rearranging columns for customized viewing. Workloads, services, ingresses, and volumes are organized by both namespace and instance, facilitating efficient management. Additionally, K8 Studio enables users to visualize the connections between objects, allowing for a quick assessment of pod counts and current statuses. Dive into a more organized and efficient Kubernetes management experience with K8 Studio, where every feature is designed to optimize your workflow.

Introducing Kubestone, the operator designed for benchmarking within Kubernetes environments. Kubestone allows users to assess the performance metrics of their Kubernetes setups effectively. It offers a standardized suite of benchmarks to evaluate CPU, disk, network, and application performance. Users can exercise detailed control over Kubernetes scheduling elements, including affinity, anti-affinity, tolerations, storage classes, and node selection. It is straightforward to introduce new benchmarks by developing a fresh controller. The execution of benchmark runs is facilitated through custom resources, utilizing various Kubernetes components such as pods, jobs, deployments, and services. To get started, refer to the quickstart guide which provides instructions on deploying Kubestone and running benchmarks. You can execute benchmarks via Kubestone by creating the necessary custom resources within your cluster. Once the appropriate namespace is created, it can be utilized to submit benchmark requests, and all benchmark executions will be organized within that specific namespace. This streamlined process ensures that you can easily monitor and analyze the performance of your Kubernetes applications.

Establish governance policies that effectively manage cloud-native environments while preserving agility and speed. Assign budgets to distinct teams or projects, monitor expenses, regulate resource utilization, and provide immediate notifications for budget exceedances. Oversee the entire asset life cycle, from initiation and ownership to modification and eventual termination. Gain insights into the intricate consumption patterns of resources and the associated costs for decentralized development teams, all while encouraging developers to deliver value with every deployment. It’s essential to ensure that microservices, containers, pods, and Kubernetes clusters operate with optimal resource efficiency, maintaining reliability, availability, and performance standards. Replex facilitates the right-sizing of Kubernetes nodes and cloud instances by leveraging both historical and real-time usage data, serving as a comprehensive repository for all critical performance metrics to enhance decision-making processes. This comprehensive approach ensures that teams can stay on top of their cloud expenses while still fostering innovation and efficiency.

Spot by NetApp provides a comprehensive suite of solutions for cloud operations, aimed at enhancing and automating cloud infrastructure to ensure that applications consistently receive the optimal resources needed for performance, availability, and cost-efficiency. Utilizing sophisticated analytics and machine learning, Spot allows organizations to potentially cut their cloud computing costs by as much as 90% through the strategic use of spot, reserved, and on-demand instances. The platform includes extensive tools for managing cloud finances (FinOps), optimizing Kubernetes infrastructure, and overseeing cloud commitments, thereby offering complete transparency into cloud environments and streamlining operations for enhanced effectiveness. With Spot by NetApp, companies can not only speed up their cloud adoption processes but also boost their operational agility while ensuring strong security measures are maintained across multi-cloud and hybrid setups. This innovative approach facilitates a smarter, more cost-effective way to manage cloud resources in a rapidly evolving digital landscape.

Efficiently provision, manage, and scale your computing infrastructure across any cloud platform while potentially reducing your expenses by as much as 80%, all while upholding service level agreements and ensuring high availability. Elastigroup is a sophisticated cluster management software created to enhance both performance and cost efficiency. It empowers organizations of varying sizes and industries to effectively utilize Cloud Excess Capacity, enabling them to optimize their workloads and achieve savings of up to 90% on compute infrastructure costs. Utilizing advanced proprietary technology for price prediction, Elastigroup can reliably deploy resources to Spot Instances. By anticipating interruptions and fluctuations, the software proactively adjusts clusters to maintain seamless operations. Furthermore, Elastigroup effectively harnesses excess capacity from leading cloud providers, including EC2 Spot Instances from AWS, Low-priority VMs from Microsoft Azure, and Preemptible VMs from Google Cloud, all while minimizing risk and complexity. This results in straightforward orchestration and management that scales effortlessly, allowing businesses to focus on their core activities without the burden of cloud infrastructure challenges.

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.

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.

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.

Velero is an open-source utility designed for the secure backup and restoration of Kubernetes cluster resources and persistent volumes, as well as for disaster recovery and migration tasks. It significantly shortens recovery time in instances of data corruption, service outages, or infrastructure failures. Additionally, it facilitates the portability of clusters by allowing easy migration of Kubernetes resources from one cluster to another. Velero includes essential data protection functionalities such as scheduled backups, retention policies, and customizable pre- or post-backup hooks for specific user-defined actions. Users can back up all resources and volumes within a cluster or selectively target certain parts using namespaces or label selectors. Moreover, it allows for the configuration of automated schedules that trigger backups at specified intervals. By enabling pre- and post-backup hooks, Velero supports custom operations to be executed before and after backups, enhancing its flexibility and user control. Released as an open-source project, Velero also offers community support available through its GitHub page, fostering collaboration and continuous improvement among users. This community-driven approach ensures that users can contribute to and benefit from ongoing enhancements in the tool's functionality.

CAST AI significantly reduces your compute costs with automated cost management and optimization. Within minutes, you can quickly optimize your GKE clusters thanks to real-time autoscaling up and down, rightsizing, spot instance automation, selection of most cost-efficient instances, and more. What you see is what you get – you can find out what your savings will look like with the Savings Report available in the free plan with K8s cost monitoring. Enabling the automation will deliver reported savings to you within minutes and keep the cluster optimized. The platform understands what your application needs at any given time and uses that to implement real-time changes for best cost and performance. It isn’t just a recommendation engine. CAST AI uses automation to reduce the operational costs of cloud services and enables you to focus on building great products instead of worrying about the cloud infrastructure. Companies that use CAST AI benefit from higher profit margins without any additional work thanks to the efficient use of engineering resources and greater control of cloud environments. As a direct result of optimization, CAST AI clients save an average of 63% on their Kubernetes cloud bills.

Paralus is an open-source tool available at no cost that facilitates controlled and audited access to Kubernetes infrastructure. It features on-demand service account creation and manages user credentials effectively, working in harmony with existing Role-Based Access Control (RBAC) and Single Sign-On (SSO) frameworks. By implementing zero-trust security practices, Paralus guarantees safe access to Kubernetes clusters, handling the creation, maintenance, and revocation of access configurations across multiple clusters, projects, and namespaces. Users can choose between a web-based graphical interface or command-line tools for managing kubeconfigs directly from the terminal, ensuring flexibility in usage. In addition to these features, Paralus provides robust auditing capabilities, which deliver thorough logging of user activities and resource access, aiding in both real-time updates and historical analysis. The installation process is user-friendly, with Helm charts readily available for deployment in diverse environments, including major cloud platforms and on-premises configurations. With its focus on security and usability, Paralus is an invaluable asset for organizations looking to enhance their Kubernetes management.

Efficiently manage multicluster environments for Azure Kubernetes Service (AKS) that involve tasks such as workload distribution, north-south traffic load balancing for incoming requests to various clusters, and coordinated upgrades across different clusters. The fleet cluster offers a centralized management system for overseeing all your clusters on a large scale. A dedicated hub cluster manages the upgrades and the configuration of your Kubernetes clusters seamlessly. Through Kubernetes configuration propagation, you can apply policies and overrides to distribute resources across the fleet's member clusters effectively. The north-south load balancer regulates the movement of traffic among workloads situated in multiple member clusters within the fleet. You can group various Azure Kubernetes Service (AKS) clusters to streamline workflows involving Kubernetes configuration propagation and networking across multiple clusters. Furthermore, the fleet system necessitates a hub Kubernetes cluster to maintain configurations related to placement policies and multicluster networking, thereby enhancing operational efficiency and simplifying management tasks. This approach not only optimizes resource usage but also helps in maintaining consistency and reliability across all clusters involved.

Oracle's Container Engine for Kubernetes (OKE) serves as a managed container orchestration solution that significantly minimizes both the time and expenses associated with developing contemporary cloud-native applications. In a departure from many competitors, Oracle Cloud Infrastructure offers OKE as a complimentary service that operates on high-performance and cost-efficient compute shapes. DevOps teams benefit from the ability to utilize unaltered, open-source Kubernetes, enhancing application workload portability while streamlining operations through automated updates and patch management. Users can initiate the deployment of Kubernetes clusters along with essential components like virtual cloud networks, internet gateways, and NAT gateways with just a single click. Furthermore, the platform allows for the automation of Kubernetes tasks via a web-based REST API and a command-line interface (CLI), covering all aspects from cluster creation to scaling and maintenance. Notably, Oracle does not impose any fees for managing clusters, making it an attractive option for developers. Additionally, users can effortlessly and swiftly upgrade their container clusters without experiencing any downtime, ensuring they remain aligned with the latest stable Kubernetes version. This combination of features positions Oracle's offering as a robust solution for organizations looking to optimize their cloud-native development processes.

Cloud cost reductions of 30%, provisioning 150x faster, closing security holes, and deployment of hybrid-cloud automation in record times are some of the benefits. Morpheus provides enterprise agility, control and efficiency through its self-service engine. Quickly enable private cloud access on-prem, centralize public cloud access, orchestrate change using cost analytics, governance policies, and automation. Manage public clouds, create private clouds, consolidate Kubernetes deployments, and manage public clouds. Provision applications from an on-demand catalog, API/CLI, ITSM, or infrastructure-as-code. Simplify authentication, access controls, policies, and security management. Automate lifecycles, streamline workflows, and simplify day-to-day tasks. Inventory brownfields, rightsize resource, track cloud spend, and centralize visibility.

Manage and orchestrate applications seamlessly on a Kubernetes platform that is fully managed, utilizing a centralized SaaS approach for overseeing distributed applications through a unified interface and advanced observability features. Streamline operations by handling deployments uniformly across on-premises, cloud, and edge environments. Experience effortless management and scaling of applications across various Kubernetes clusters, whether at customer locations or within the F5 Distributed Cloud Regional Edge, all through a single Kubernetes-compatible API that simplifies multi-cluster oversight. You can deploy, deliver, and secure applications across different sites as if they were all part of one cohesive "virtual" location. Furthermore, ensure that distributed applications operate with consistent, production-grade Kubernetes, regardless of their deployment sites, which can range from private and public clouds to edge environments. Enhance security with a zero trust approach at the Kubernetes Gateway, extending ingress services backed by WAAP, service policy management, and comprehensive network and application firewall protections. This approach not only secures your applications but also fosters a more resilient and adaptable infrastructure.

Cloudchipr is an innovative platform for cloud optimization that equips teams with AI-driven agents capable of addressing inquiries, clarifying irregularities, generating reports, delegating tasks, and much more. It delivers instantaneous visibility and automation for active cloud resources, allowing users to monitor, manage, and forecast expenses across major cloud providers such as AWS, GCP, and Azure. With an array of features including customizable dashboards, a resource explorer, and real-time usage management, Cloudchipr facilitates a cohesive management experience for resources spanning multiple cloud environments. Additionally, it enables cost distribution based on adaptable rules via Dimensions and features no-code automation workflows to enhance operational efficiency. Users can seamlessly integrate various organizational tools to foster collaboration, monitor resource utilization commitments, and pinpoint potential savings opportunities through a centralized interface. Furthermore, Cloudchipr prioritizes enterprise-level security compliance while offering compatibility with platforms like Snowflake and Kubernetes, ensuring that organizations can effectively manage their cloud infrastructure without compromising security. Ultimately, this platform stands out by not only simplifying cloud management but also driving significant cost savings and operational effectiveness.

BotKube is an innovative messaging bot designed for the monitoring and troubleshooting of Kubernetes clusters, developed and supported by InfraCloud. This versatile tool seamlessly integrates with various messaging platforms such as Slack, Mattermost, and Microsoft Teams, enabling users to oversee their Kubernetes environments, address critical deployment issues, and receive best practice recommendations through checks on Kubernetes resources. By observing Kubernetes activities, BotKube promptly alerts the designated channel about any noteworthy events, such as an ImagePullBackOff error, ensuring timely awareness. Users can tailor the specific objects and event severity levels they wish to monitor from their Kubernetes clusters, with the flexibility to enable or disable notifications as needed. Furthermore, BotKube is capable of executing kubectl commands within the Kubernetes cluster without requiring access to Kubeconfig or the underlying infrastructure, enhancing security. With BotKube, you can easily troubleshoot your deployments, services, or any other aspects of your cluster directly from your messaging interface, fostering a more efficient workflow. The ability to receive instant updates and perform actions from a familiar messaging platform significantly streamlines the management of Kubernetes environments.

As the utilization of Kubernetes continues to increase, organizations are discovering the necessity of managing and deploying several clusters in order to support essential capabilities such as geo-redundancy, scalability, and fault isolation for their applications. Submariner enables your applications and services to operate seamlessly across various cloud providers, data centers, and geographical regions. To initiate this process, the Broker must be set up on a singular Kubernetes cluster. It is essential that the API server of this cluster is accessible to all other Kubernetes clusters that are linked through Submariner. This can either be a dedicated cluster or one of the already connected clusters. Once Submariner is installed on a cluster equipped with the appropriate credentials for the Broker, it facilitates the exchange of Cluster and Endpoint objects between clusters through mechanisms such as push, pull, and watching, thereby establishing connections and routes to other clusters. It's crucial that the worker node IP addresses on all connected clusters reside outside of the Pod and Service CIDR ranges. By ensuring these configurations, teams can maximize the benefits of multi-cluster setups.

Azure Arc serves as a strategic bridge between on-premises, edge, and multicloud infrastructures, empowering organizations to unify management under a single Azure framework. It supports hybrid operations by bringing Azure security, compliance, and governance services to workloads no matter where they run. Through Arc, enterprises can streamline VMware lifecycle management, deploy Kubernetes clusters, and extend Azure data services directly into their datacenters. It also enhances modernization by enabling containerized apps, SQL Server management, and Windows Server deployments with new cloud-driven capabilities. Developers can maintain familiar workflows with GitHub and Visual Studio Code while benefiting from consistent APIs and centralized observability via Azure Monitor. Security is reinforced by Microsoft’s 34,000 security engineers and over 100 compliance certifications, making Arc suitable for regulated industries. With pricing that includes core inventory at no cost and paid add-ons like advanced security and monitoring, it scales to fit enterprise needs. Customer success stories from companies like Chevron, LALIGA, and Coles demonstrate how Azure Arc accelerates innovation and simplifies operations in real-world scenarios.

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.

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.

DoiT is a global technology company that delivers a comprehensive cloud operations platform designed to optimize performance, scalability, and cost efficiency. Powered by proactive, industry-leading expertise, DoiT Cloud Intelligence is the only context-aware multicloud platform that turns insights into action. With deep specializations in Kubernetes, GenAI, CloudOps, and FinOps, we partner with AWS, Google Cloud, and Microsoft Azure to help over 4,000 businesses worldwide enhance cloud performance, reliability, and security. Whether managing complex multicloud environments or driving innovation, DoiT provides the intelligence and human expertise needed to maximize your cloud investment.

Finout streamlines the billing from Cloud Providers, Data Warehouses, and CDNs into a comprehensive single invoice, providing an exceptional overview of your cloud expenses without the need for extensive setup. You can easily track irregularities, access tailored suggestions, and anticipate costs as your business expands. Unlike AWS, which bills based on instances, Finout allows you to focus on the actual costs associated with your pods. By integrating seamlessly without agents, you can leverage your current Datadog or Prometheus setups to gain detailed insights into pod-level spending quickly. Move beyond simply understanding total cloud expenses; instead, focus on the costs tied to your actual usage rather than just payments made. For instance, instead of analyzing EC2 instances and DynamoDB indexes, you can directly observe Kubernetes pods. Moreover, Finout fosters a shared vocabulary across your organization, benefiting not just the DevOps team but the entire company as well. This unified approach enhances collaboration and understanding across departments, leading to more informed financial decisions.

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.

CloudAvocado is designed to enhance your AWS workload efficiency while optimizing costs effectively. It offers a set of tools that enable you to maximize your resource utilization without adding unnecessary complexity. By bridging the gaps across different AWS accounts and business units, you can gain valuable insights into resources that are either unused or underused, potentially reducing expenses by an impressive 30-70%. Transform your usage data into an easily understandable format and streamline your spending with CloudAvocado. This platform was developed to make the oversight of your cloud assets and expenditures more straightforward. We equip you with the necessary tools to fully leverage your resources while minimizing complications. With comprehensive visibility into all your resources across every region, you can manage them more efficiently and quickly locate what you need without the frustration of tracking down which region holds a specific resource. Now, everything is accessible in a single, convenient location, allowing for greater efficiency in cloud management.

Red Hat Advanced Cluster Management for Kubernetes allows users to oversee clusters and applications through a centralized interface, complete with integrated security policies. By enhancing the capabilities of Red Hat OpenShift, it facilitates the deployment of applications, the management of multiple clusters, and the implementation of policies across numerous clusters at scale. This solution guarantees compliance, tracks usage, and maintains uniformity across deployments. Included with Red Hat OpenShift Platform Plus, it provides an extensive array of powerful tools designed to secure, protect, and manage applications effectively. Users can operate from any environment where Red Hat OpenShift is available and can manage any Kubernetes cluster within their ecosystem. The self-service provisioning feature accelerates application development pipelines, enabling swift deployment of both legacy and cloud-native applications across various distributed clusters. Additionally, self-service cluster deployment empowers IT departments by automating the application delivery process, allowing them to focus on higher-level strategic initiatives. As a result, organizations can achieve greater efficiency and agility in their IT operations.

While many Kubernetes platforms enable users to create and oversee Kubernetes clusters, Loft takes a different approach. Rather than being a standalone solution for managing clusters, Loft serves as an advanced control plane that enhances your current Kubernetes environments by introducing multi-tenancy and self-service functionalities, maximizing the benefits of Kubernetes beyond mere cluster oversight. It boasts an intuitive user interface and command-line interface, yet operates entirely on the Kubernetes framework, allowing seamless management through kubectl and the Kubernetes API, which ensures exceptional compatibility with pre-existing cloud-native tools. The commitment to developing open-source solutions is integral to our mission, as Loft Labs proudly holds membership with both the CNCF and the Linux Foundation. By utilizing Loft, organizations can enable their teams to create economical and efficient Kubernetes environments tailored for diverse applications, fostering innovation and agility in their workflows. This unique capability empowers businesses to harness the true potential of Kubernetes without the complexity often associated with cluster management.

Stratus10 Cloud Computing Services, an Amazon Web Services Advanced Consulting Partner, helps organizations migrate to AWS or if they are already on AWS implement best practices. Our core competencies include cloud migration, application Modernization, DevOps & DevSecOps pipelines, Windows Servers, networking, serverless Infrastructure, Kubernetes(K8s), and Cybersecurity. Kalos is our flagship SaaS platform. It is an AWS security and cost management platform that was designed for infrastructure teams who want to reduce AWS costs and improve security. Kalos, built on our years of experience in designing and managing AWS Infrastructures, helps you streamline cloud operations by aggregating and visualizing your cloud environment. Kalos was designed to simplify cloud management, empower you to extract meaningful insight, make informed decision, and successfully optimize infrastructure.

Corz Cloud Platform simplifies Hybrid Cloud Cost Management by providing an optimized solution for AWS Azure, Google Cloud, and Google Cloud. Corz Cloud Platform was designed for developers and managers. Now teams can directly access granular Cloud costs as well as Optimization recommendations. You can now set up automated policies to reduce Cloud expenses with a single click. You will receive notifications about cloud billing and usage anomalies. Cloud spending can be viewed across the enterprise by product owners. Get a detailed view of your Cloud spending. Get alerts when individual teams exceed their Cloud spending budgets. Set up a set of policies that can be applied across all teams. Identify resources that are not being used and create policies that can be run automatically. Identify the spending of each team across all Cloud Providers. Show back Cloud usage costs to individual teams. If resources are not being used, shut down them. Automated shutdown policies can help you reduce cloud spending.

A pay-as-you-go security and observability software-as-a-service (SaaS) solution designed for containers, Kubernetes, and cloud environments provides users with a real-time overview of service dependencies and interactions across multi-cluster, hybrid, and multi-cloud setups. This platform streamlines the onboarding process and allows for quick resolution of Kubernetes security and observability challenges within mere minutes. Calico Cloud represents a state-of-the-art SaaS offering that empowers organizations of various sizes to secure their cloud workloads and containers, identify potential threats, maintain ongoing compliance, and address service issues in real-time across diverse deployments. Built upon Calico Open Source, which is recognized as the leading container networking and security framework, Calico Cloud allows teams to leverage a managed service model instead of managing a complex platform, enhancing their capacity for rapid analysis and informed decision-making. Moreover, this innovative platform is tailored to adapt to evolving security needs, ensuring that users are always equipped with the latest tools and insights to safeguard their cloud infrastructure effectively.

You can immediately benefit from a powerful, yet simple to use Kubernetes backup service and cloud database backup service. It will backup your multi-cloud, multicluster, applications, and provide granular and cluster-level recovery, including cross-account and cross-cluster recovery. CloudCasa makes backup management easy for even developers. It offers a generous free service plan, with no credit card required. It is a great alternative for Velero. CloudCasa can be used as a SaaS solution. This means that you don't need to set up backup infrastructure, manage complex backup installations, or worry about security. You can set it and forget about it, so you won't have to worry about it. We automate and take care of all the hard work, including checking your security posture.

The Azure Kubernetes Service (AKS), which is fully managed, simplifies the process of deploying and overseeing containerized applications. It provides serverless Kubernetes capabilities, a seamless CI/CD experience, and robust security and governance features suited for enterprises. By bringing together your development and operations teams on one platform, you can swiftly build, deliver, and expand applications with greater assurance. Additionally, it allows for elastic provisioning of extra resources without the hassle of managing the underlying infrastructure. You can implement event-driven autoscaling and triggers using KEDA. The development process is expedited through Azure Dev Spaces, which integrates with tools like Visual Studio Code, Azure DevOps, and Azure Monitor. Furthermore, it offers sophisticated identity and access management via Azure Active Directory, along with the ability to enforce dynamic rules across various clusters using Azure Policy. Notably, it is accessible in more regions than any competing cloud service provider, enabling wider reach for your applications. This comprehensive platform ensures that businesses can operate efficiently in a highly scalable environment.

Karpenter streamlines Kubernetes infrastructure by ensuring that the optimal nodes are provisioned precisely when needed. As an open-source and high-performance autoscaler for Kubernetes clusters, Karpenter automates the deployment of necessary compute resources to support applications efficiently. It is crafted to maximize the advantages of cloud computing, facilitating rapid and seamless compute provisioning within Kubernetes environments. By promptly adjusting to fluctuations in application demand, scheduling, and resource needs, Karpenter boosts application availability by adeptly allocating new workloads across a diverse range of computing resources. Additionally, it identifies and eliminates underutilized nodes, swaps out expensive nodes for cost-effective options, and consolidates workloads on more efficient resources, ultimately leading to significant reductions in cluster compute expenses. This innovative approach not only enhances resource management but also contributes to overall operational efficiency within cloud environments.

For companies that depend on a modern, multi-cloud infrastructure to power their SaaS customer experience, Yotascale enables dynamic cloud cost management with unmatched insights, accuracy, and time to value to help reduce their cloud spend by up to 50%. Unlike first-generation solutions that are hard to use and even harder to configure, and don’t give real-time, proactive insights, Yotascale delivers real value in the first few days, and every day thereafter, because we make it easy for the right people to take the right course of action at the right time to get cloud costs under control. At Yotascale, we make it easy for teams to take ownership of cloud costs with: 95% accurate, granular cost attribution that matches the way you do business; all-in-one support for multi-cloud and containers (including Kubernetes, ECS, AKS and more); and highly actionable scenario-based recommendations at the application, service and workload level that make optimizing cloud costs simple, efficient, and predictable.

Kubernetes serves as the operating system for the cloud environment. A multitude of companies and individuals utilize Lens, recognized as the most expansive and sophisticated Kubernetes platform globally, to develop and manage their Kubernetes instances. Lens Desktop seamlessly integrates with any Kubernetes setup, streamlining processes and enhancing productivity. Its user base spans a wide range, including developers, operations teams, startups, and large enterprises alike. Additionally, Lens Spaces, a cloud-based service, enhances its capabilities by organizing existing Kubernetes environments and offering Managed Dev Clusters for collaborative team use. Rooted in open-source principles, Lens thrives within a dynamic community and is supported by trailblazers in the Kubernetes and cloud-native ecosystems. The intelligent terminal includes kubectl and helm, ensuring that the kubectl version automatically syncs with the selected Kubernetes cluster's API version. Furthermore, Lens simplifies configuration management by automatically setting the kubeconfig context to correspond with the chosen K8s cluster, making it a powerful tool for cloud-native development and operations. This level of integration and ease of use makes Lens an essential resource for anyone engaged in Kubernetes management.

Enhance your contemporary applications with VMware Tanzu Kubernetes Grid, enabling you to operate the same Kubernetes environment across data centers, public cloud, and edge computing, ensuring a seamless and secure experience for all development teams involved. Maintain proper workload isolation and security throughout your operations. Benefit from a fully integrated, easily upgradable Kubernetes runtime that comes with prevalidated components. Deploy and scale clusters without experiencing any downtime, ensuring that you can swiftly implement security updates. Utilize a certified Kubernetes distribution to run your containerized applications, supported by the extensive global Kubernetes community. Leverage your current data center tools and processes to provide developers with secure, self-service access to compliant Kubernetes clusters in your VMware private cloud, while also extending this consistent Kubernetes runtime to your public cloud and edge infrastructures. Streamline the management of extensive, multi-cluster Kubernetes environments to keep workloads isolated, and automate lifecycle management to minimize risks, allowing you to concentrate on more strategic initiatives moving forward. This holistic approach not only simplifies operations but also empowers your teams with the flexibility needed to innovate at pace.

Shoreline is the only cloud reliability platform that allows DevOps engineers to build automations in a matter of minutes and fix problems forever. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud. Debugging and repairing issues is easy with advanced tooling for your best SREs, Jupyter style notebooks for the broader team, and a platform that makes building automations 30X faster by allowing operators to manage their entire fleet as if it were a single box. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment.