Best Container Management Software for Amazon Web Services (AWS)

Kasm Workspaces streams your workplace environment directly to your web browser…on any device and from any location. Kasm is revolutionizing the way businesses deliver digital workspaces. We use our open-source web native container streaming technology to create a modern devops delivery of Desktop as a Service, application streaming, and browser isolation. Kasm is more than a service. It is a platform that is highly configurable and has a robust API that can be customized to your needs at any scale. Workspaces can be deployed wherever the work is. It can be deployed on-premise (including Air-Gapped Networks), in the cloud (Public and Private), or in a hybrid.

Netreo is the best full-stack IT infrastructure management and observation platform. Netreo is a single source for truth for proactive performance monitoring and availability monitoring of large enterprise networks, infrastructure, and applications. Our solution is used by: IT executives should have full visibility of the business service, right down to the infrastructure and network that supports them. IT Engineering departments are used as a decision support system to plan and architect modern solutions. IT Operations teams can have real-time visibility into what is going wrong in their environment, which bottlenecks exist, and who it is affecting. All of these insights are available for systems and vendor mix in large heterogeneous environments that are constantly changing. We have a growing list of vendors that we support (over 350 integrations), including network vendors, storage, virtualization, and servers.

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.

Launch production-ready Kubernetes clusters within just a few days and facilitate the swift onboarding of users and applications. Tackle the complexities of Kubernetes using a robust and user-friendly DevOps solution that minimizes friction among teams, fosters better collaboration, and increases overall productivity. With Nirmata's Kubernetes Policy Manager, you can ensure the appropriate security measures, compliance, and governance for Kubernetes, enabling you to scale operations smoothly. Manage all your Kubernetes clusters, policies, and applications seamlessly in a single platform, while optimizing operations through the DevSecOps Platform. Nirmata’s DevSecOps platform is designed to integrate effortlessly with various cloud providers such as EKS, AKS, GKE, OKE, and offers support for infrastructure solutions like VMware, Nutanix, and bare metal. This solution effectively addresses the operational challenges faced by enterprise DevOps teams, providing them with comprehensive management and governance tools tailored for Kubernetes environments. By implementing Nirmata, organizations can improve their workflow efficiency and streamline their Kubernetes operations.

Oversee containers, virtual machines, networks, and storage all from one unified platform. By integrating ManageIQ with your management systems for virtualization, containers, networks, and storage, it can automatically detect inventory, establish mappings of relationships, and monitor any changes. This integration results in a comprehensive, current, and interrelated dataset that underpins our sophisticated management functionalities. You can create resource bundles and make them available in a service catalog for end users to request easily. After provisioning, the entire lifecycle of the service can be managed, encompassing aspects such as policy enforcement, compliance checks, delegated operations, chargeback/showback, and eventual decommissioning. Additionally, you can perform content scans of your virtual machines, hosts, and containers, merging this with auto-discovered information to formulate advanced security and compliance protocols. Notably, this content scanning capability operates without requiring an agent, allowing it to function effectively even for external or non-cooperative virtual machines. This flexibility ensures robust security measures are in place, regardless of the environment.

Deploy, operate, and manage Kubernetes clusters across various environments centrally with a robust container orchestration solution that fulfills the promises of Kubernetes. Tailored for large enterprises, Kublr facilitates multi-cluster deployments and provides essential observability features. Our platform simplifies the complexities of Kubernetes, allowing your team to concentrate on what truly matters: driving innovation and generating value. Although enterprise-level container orchestration may begin with Docker and Kubernetes, Kublr stands out by offering extensive, adaptable tools that enable the deployment of enterprise-class Kubernetes clusters right from the start. This platform not only supports organizations new to Kubernetes in their adoption journey but also grants experienced enterprises the flexibility and control they require. While the self-healing capabilities for masters are crucial, achieving genuine high availability necessitates additional self-healing for worker nodes, ensuring they match the reliability of the overall cluster. This holistic approach guarantees that your Kubernetes environment is resilient and efficient, setting the stage for sustained operational excellence.

Provisioning and overseeing cloud-native infrastructure can be straightforward rather than a daunting challenge. With the intuitive point-and-click interface of Mirantis Container Cloud, both administrators and developers can seamlessly deploy Kubernetes and OpenStack environments from one central dashboard, whether it's on-premises, hosted bare metal, or in the public cloud. Say goodbye to the hassle of scheduling workarounds for updates, as you can access new features promptly while ensuring zero downtime for clusters and workloads. Empower your developers to easily create, monitor, and manage Kubernetes clusters within a framework of customized guardrails. Mirantis Container Cloud serves as a unified console to oversee your entire hybrid infrastructure landscape. Furthermore, this platform enables the deployment, management, and maintenance of both Mirantis Kubernetes Engine for container-based applications and Mirantis OpenStack for virtualization environments tailored for Kubernetes. This comprehensive approach streamlines operations and enhances efficiency across the board.

AWS App2Container (A2C) serves as a command line utility designed to facilitate the migration and modernization of Java and .NET web applications into containerized formats. This tool systematically evaluates and catalogs applications that are hosted on bare metal servers, virtual machines, Amazon Elastic Compute Cloud (EC2) instances, or within cloud environments. By streamlining the development and operational skill sets, organizations can significantly reduce both infrastructure and training expenses. The modernization process is accelerated through the tool's capability to automatically analyze applications and generate container images without requiring code modifications. It enables the containerization of applications that reside in on-premises data centers, thereby enhancing deployment consistency and operational standards for legacy systems. Additionally, users can leverage AWS CloudFormation templates to set up the necessary computing, networking, and security frameworks. Moreover, A2C supports the utilization of pre-established continuous integration and delivery (CI/CD) pipelines for AWS DevOps services, further simplifying the deployment process and ensuring a more efficient workflow. Ultimately, AWS A2C empowers businesses to transition smoothly into the cloud, fostering innovation and agility in their application management.

Doctor Droid is an innovative AI-powered platform aimed at transforming how engineering teams monitor and resolve issues. It streamlines intricate investigations by adhering to established procedures, analyzing data from various integrations, pinpointing root causes, and implementing standardized runbooks for automated recovery. By actively monitoring alerts, Doctor Droid equips teams with pertinent data and insights, thereby cutting down on-call time by as much as 80% and enabling quick responses from engineers. Additionally, it enhances the onboarding experience for new engineers by automating document searches, familiarizing them with new tools, and helping them understand data, which allows them to take on primary on-call responsibilities right from the start. Furthermore, Doctor Droid is capable of conducting spontaneous investigations, such as scrutinizing Kubernetes clusters or reviewing recent deployments, while also adapting to create new strategies based on user recommendations and existing documentation. It boasts seamless integration with over 40 different tools throughout the technology stack, which significantly enhances its functionality and versatility. As a result, engineering teams can operate more efficiently and effectively in a rapidly evolving environment.

AWS Fargate serves as a serverless compute engine tailored for containerization, compatible with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). By utilizing Fargate, developers can concentrate on crafting their applications without the hassle of server management. This service eliminates the necessity to provision and oversee servers, allowing users to define and pay for resources specific to their applications while enhancing security through built-in application isolation. Fargate intelligently allocates the appropriate amount of compute resources, removing the burden of selecting instances and managing cluster scalability. Users are billed solely for the resources their containers utilize, thus avoiding costs associated with over-provisioning or extra servers. Each task or pod runs in its own kernel, ensuring that they have dedicated isolated computing environments. This architecture not only fosters workload separation but also reinforces overall security, greatly benefiting application integrity. By leveraging Fargate, developers can achieve operational efficiency alongside robust security measures, leading to a more streamlined development process.

Amazon Elastic Kubernetes Service (EKS) is a comprehensive Kubernetes management solution that operates entirely under AWS's management. High-profile clients like Intel, Snap, Intuit, GoDaddy, and Autodesk rely on EKS to host their most critical applications, benefiting from its robust security, dependability, and ability to scale efficiently. EKS stands out as the premier platform for running Kubernetes for multiple reasons. One key advantage is the option to deploy EKS clusters using AWS Fargate, which offers serverless computing tailored for containers. This feature eliminates the need to handle server provisioning and management, allows users to allocate and pay for resources on an application-by-application basis, and enhances security through inherent application isolation. Furthermore, EKS seamlessly integrates with various Amazon services, including CloudWatch, Auto Scaling Groups, IAM, and VPC, ensuring an effortless experience for monitoring, scaling, and load balancing applications. This level of integration simplifies operations, enabling developers to focus more on building their applications rather than managing infrastructure.

MicroK8s offers a lightweight, low-ops Kubernetes solution tailored for developers working with cloud environments, clusters, workstations, Edge, and IoT devices. It intelligently selects the optimal nodes for the Kubernetes datastore and seamlessly promotes another node if a database node goes offline, ensuring no administrative intervention is required for robust edge deployments. With its compact design and user-friendly defaults, MicroK8s is designed to operate effectively right out of the box, making installation, upgrades, and security management straightforward and efficient. Ideal for micro clouds and edge computing, it provides full enterprise support without a subscription, with the option of 24/7 assistance and a decade of security maintenance. Whether deployed under cell towers, on race cars, in satellites, or within everyday appliances, MicroK8s guarantees the complete Kubernetes experience across IoT and micro clouds. Its fully containerized deployment ensures reliable operations, complemented by compressed over-the-air updates. MicroK8s automatically applies security updates by default, though users can choose to defer them if desired, and upgrading to the latest version of Kubernetes is just a single command away, making the process incredibly simple and hassle-free. This combination of ease of use and robust functionality positions MicroK8s as an invaluable tool for modern developers.

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.

The advent of container-based infrastructure represented a significant transformation in technology. A Linux distribution specifically optimized for containers serves as the ideal groundwork for a cloud-native setup. This streamlined operating system image consists solely of the essential tools needed for container execution. By omitting a package manager, it prevents any potential for configuration drift. The use of an immutable filesystem for the OS effectively mitigates a range of security vulnerabilities. Additionally, automated atomic updates ensure that you consistently receive the most current security patches and open-source technology advancements. Flatcar Container Linux is purpose-built from the ground up to support container workloads effectively. It fully embraces the container philosophy by incorporating only the necessary components for running containers. In a world of immutable infrastructure, it is crucial to have an equally immutable Linux operating system. With Flatcar Container Linux, your focus shifts from configuration management to effectively overseeing your infrastructure, allowing for a more efficient and secure operational environment. Embracing this approach revolutionizes how organizations manage their cloud-native applications and services.

Amazon EKS Anywhere is a recently introduced option for deploying Amazon EKS that simplifies the process of creating and managing Kubernetes clusters on-premises, whether on your dedicated virtual machines (VMs) or bare metal servers. This solution offers a comprehensive software package designed for the establishment and operation of Kubernetes clusters in local environments, accompanied by automation tools for effective cluster lifecycle management. EKS Anywhere ensures a uniform management experience across your data center, leveraging the capabilities of Amazon EKS Distro, which is the same Kubernetes version utilized by EKS on AWS. By using EKS Anywhere, you can avoid the intricacies involved in procuring or developing your own management tools to set up EKS Distro clusters, configure the necessary operating environment, perform software updates, and manage backup and recovery processes. It facilitates automated cluster management, helps cut down support expenses, and removes the need for multiple open-source or third-party tools for running Kubernetes clusters. Furthermore, EKS Anywhere comes with complete support from AWS, ensuring that users have access to reliable assistance whenever needed. This makes it an excellent choice for organizations looking to streamline their Kubernetes operations while maintaining control over their infrastructure.

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.

Empower both developers and operations teams with the self-service capabilities and automation they crave, while maintaining an optimal balance of standardization and governance that the organization necessitates. Manage and define configurations centrally using Git for clusters that include security policies and software enhancements like service mesh, ingress controllers, monitoring, logging, and backup and recovery solutions. The management of blueprints and the lifecycle of add-ons can be seamlessly implemented for both new and existing clusters from a central point. Additionally, blueprints can be shared among various teams, ensuring centralized oversight of the add-ons utilized throughout the organization. In dynamic environments that demand rapid development cycles, users can transition from a Git push to an updated application on managed clusters in mere seconds, achieving this over 100 times daily. This approach is especially advantageous for development settings where changes are made with high frequency, thus fostering a more agile workflow. By streamlining these processes, organizations can significantly enhance their operational efficiency and responsiveness.

Kata Containers is software licensed under Apache 2 that features two primary components: the Kata agent and the Kata Containerd shim v2 runtime. Additionally, it includes a Linux kernel along with versions of QEMU, Cloud Hypervisor, and Firecracker hypervisors. Combining the speed and efficiency of containers with the enhanced security benefits of virtual machines, Kata Containers seamlessly integrates with container management systems, including widely used orchestration platforms like Docker and Kubernetes (k8s). Currently, it is designed to support Linux for both host and guest environments. For hosts, detailed installation guides are available for various popular distributions. Furthermore, the OSBuilder tool offers ready-to-use support for Clear Linux, Fedora, and CentOS 7 rootfs images, while also allowing users to create custom guest images tailored to their needs. This flexibility makes Kata Containers an appealing choice for developers seeking the best of both worlds in container and virtualization technology.

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.

Deep Learning Containers consist of Docker images that come preloaded and verified with the latest editions of well-known deep learning frameworks. They enable the rapid deployment of tailored machine learning environments, eliminating the need to create and refine these setups from the beginning. You can establish deep learning environments in just a few minutes by utilizing these ready-to-use and thoroughly tested Docker images. Furthermore, you can develop personalized machine learning workflows for tasks such as training, validation, and deployment through seamless integration with services like Amazon SageMaker, Amazon EKS, and Amazon ECS, enhancing efficiency in your projects. This capability streamlines the process, allowing data scientists and developers to focus more on their models rather than environment configuration.

Identify and prioritize your most critical business risks with actionable insights that can drive effective decision-making. Ensure your Kubernetes environment is consistently fortified for maximum availability. Gain knowledge from the experiences of others to sidestep common pitfalls. Proactively mitigate risks before they escalate into incidents. Maintain comprehensive visibility across all layers of your infrastructure to stay informed. Keep an organized inventory of containers, clusters, add-ons, and their dependencies. Aggregate insights from various clouds and on-premises environments for a unified view. Receive timely alerts regarding end-of-life (EOL) and incompatible versions to keep your systems updated. Say goodbye to spreadsheets and custom scripts forever. Chkk’s goal is to empower developers to avert incidents by learning from the experiences of others and avoiding previously established errors. Utilizing Chkk's collective learning technology, users can access a wealth of curated information on known errors, failures, and disruptions experienced within the Kubernetes community, which includes users, operators, cloud service providers, and vendors, thereby ensuring that history does not repeat itself. This proactive approach not only fosters a culture of continuous improvement but also enhances overall system resilience.

Our platform empowers web developers by enhancing the entire experience of creating, launching, and managing web applications. This advancement is made possible through ScaleDynamics' unique innovation known as Module-as-a-Service. Time is of the essence, and your team will discover a fresh development experience that allows them to concentrate solely on feature creation. Interestingly, research shows that developers dedicate 75% of their time to coding communication layers, which can be quite inefficient. With our solution, you can seamlessly transform any JavaScript Node.js module into a Module as a Service (MaaS) that operates in the cloud after it has been deployed. Furthermore, you can easily import the module into your frontend and utilize it just like any other module, bypassing the need for HTTP and simply making JavaScript calls. This streamlined approach not only saves time but also enhances productivity and innovation within development teams.