Apache Mesos Alternatives

Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.

Kasm Workspaces streams your workplace environment directly to your web browser…on any device and from any location. Kasm uses our high-performance streaming and secure isolation technology to provide web-native Desktop as a Service (DaaS), application streaming, and secure/private web browsing. Kasm is not just a service; it is a highly configurable platform with a robust developer API and devops-enabled workflows that can be customized for your use-case, at any scale. Workspaces can be deployed in the cloud (Public or Private), on-premise (Including Air-Gapped Networks or your Homelab), or in a hybrid configuration.

Portainer is an intuitive container management platform for Docker, Kubernetes, and Edge-based environments. With a smart UI, Portainer enables you to build, deploy, manage, and secure your containerized environments with ease. It makes container adoption easier for the whole team and reduces time-to-value on Kubernetes and Docker/Swarm. With a simple GUI and a comprehensive API, the product makes it easy for engineers to deploy and manage container-based apps, triage issues, automate CI/CD workflows and set up CaaS (container-as-a-service) environments regardless of hosting environment or K8s distro. Portainer Business is designed to be used in a team environment with multiple users and clusters. The product includes a range of security features, including RBAC, OAuth integration, and logging - making it suitable for use in complex production environments. Portainer also allows you to set up GitOps automation for deployment of your apps to Docker and K8s based on Git repos.

Ambassador Edge Stack is a Kubernetes-native API Gateway that delivers the scalability, security, and simplicity for some of the world's largest Kubernetes installations. Edge Stack makes securing microservices easy with a comprehensive set of security functionality, including automatic TLS, authentication, rate limiting, WAF integration, and fine-grained access control. The API Gateway contains a modern Kubernetes ingress controller that supports a broad range of protocols including gRPC and gRPC-Web, supports TLS termination, and provides traffic management controls for resource availability. Why use Ambassador Edge Stack API Gateway? - Accelerate Scalability: Manage high traffic volumes and distribute incoming requests across multiple backend services, ensuring reliable application performance. - Enhanced Security: Protect your APIs from unauthorized access and malicious attacks with robust security features. - Improve Productivity & Developer Experience

Telepresence streamlines your local development process, enabling immediate feedback. You can launch your local environment on your laptop, equipped with your preferred tools, while Telepresence seamlessly connects them to the microservices and test databases they rely on. It simplifies and expedites collaborative development, debugging, and testing within Kubernetes environments by establishing a seamless connection between your local machine and shared remote Kubernetes clusters. Why Telepresence: Faster feedback loops: Spend less time building, containerizing, and deploying code. Get immediate feedback on code changes by running your service in the cloud from your local machine. Shift testing left: Create a remote-to-local debugging experience. Catch bugs pre-production without the configuration headache of remote debugging. Deliver better, faster user experience: Get new features and applications into the hands of users faster and more frequently.

Protect and optimize your mission-critical Kubernetes applications. Fairwinds Insights is a Kubernetes configuration validation platform that proactively monitors your Kubernetes and container configurations and recommends improvements. The software combines trusted open source tools, toolchain integrations, and SRE expertise based on hundreds of successful Kubernetes deployments. Balancing the velocity of engineering with the reactionary pace of security can result in messy Kubernetes configurations and unnecessary risk. Trial-and-error efforts to adjust CPU and memory settings eats into engineering time and can result in over-provisioning data center capacity or cloud compute. Traditional monitoring tools are critical, but don’t provide everything needed to proactively identify changes to maintain reliable Kubernetes workloads.

Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service. Customers such as Duolingo, Samsung, GE, and Cook Pad use ECS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. ECS is a great choice to run containers for several reasons. First, you can choose to run your ECS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, ECS is used extensively within Amazon to power services such as Amazon SageMaker, AWS Batch, Amazon Lex, and Amazon.com’s recommendation engine, ensuring ECS is tested extensively for security, reliability, and availability.

Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure. We’ve intentionally designed Cloud Run to make developers more productive - you get to focus on writing your code, using your favorite language, and Cloud Run takes care of operating your service. Fully managed compute platform for deploying and scaling containerized applications quickly and securely. Write code your way using your favorite languages (Go, Python, Java, Ruby, Node.js, and more). Abstract away all infrastructure management for a simple developer experience. Build applications in your favorite language, with your favorite dependencies and tools, and deploy them in seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously—depending on traffic. Cloud Run only charges you for the exact resources you use. Cloud Run makes app development & deployment simpler.

Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. EKS is the best place to run Kubernetes for several reasons. First, you can choose to run your EKS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, EKS is deeply integrated with services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud (VPC), providing you a seamless experience to monitor, scale, and load-balance your applications.

The Kubernetes platform for big ideas. Empower developers to innovate and ship faster with the leading hybrid cloud, enterprise container platform. Red Hat OpenShift offers automated installation, upgrades, and lifecycle management throughout the container stack—the operating system, Kubernetes and cluster services, and applications—on any cloud. Red Hat OpenShift helps teams build with speed, agility, confidence, and choice. Code in production mode anywhere you choose to build. Get back to doing work that matters. Red Hat OpenShift is focused on security at every level of the container stack and throughout the application lifecycle. It includes long-term, enterprise support from one of the leading Kubernetes contributors and open source software companies. Support the most demanding workloads including AI/ML, Java, data analytics, databases, and more. Automate deployment and life-cycle management with our vast ecosystem of technology partners.

Docker takes away repetitive, mundane configuration tasks and is used throughout the development lifecycle for fast, easy and portable application development, desktop and cloud. Docker’s comprehensive end-to-end platform includes UIs, CLIs, APIs and security that are engineered to work together across the entire application delivery lifecycle. Get a head start on your coding by leveraging Docker images to efficiently develop your own unique applications on Windows and Mac. Create your multi-container application using Docker Compose. Integrate with your favorite tools throughout your development pipeline, Docker works with all development tools you use including VS Code, CircleCI and GitHub. Package applications as portable container images to run in any environment consistently from on-premises Kubernetes to AWS ECS, Azure ACI, Google GKE and more. Leverage Docker Trusted Content, including Docker Official Images and images from Docker Verified Publishers.

Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.

Run advanced apps on a secured and managed Kubernetes service. GKE is an enterprise-grade platform for containerized applications, including stateful and stateless, AI and ML, Linux and Windows, complex and simple web apps, API, and backend services. Leverage industry-first features like four-way auto-scaling and no-stress management. Optimize GPU and TPU provisioning, use integrated developer tools, and get multi-cluster support from SREs. Start quickly with single-click clusters. Leverage a high-availability control plane including multi-zonal and regional clusters. Eliminate operational overhead with auto-repair, auto-upgrade, and release channels. Secure by default, including vulnerability scanning of container images and data encryption. Integrated Cloud Monitoring with infrastructure, application, and Kubernetes-specific views. Speed up app development without sacrificing security.

Current versions of Docker include swarm mode for natively managing a cluster of Docker Engines called a swarm. Use the Docker CLI to create a swarm, deploy application services to a swarm, and manage swarm behavior. Cluster management integrated with Docker Engine: Use the Docker Engine CLI to create a swarm of Docker Engines where you can deploy application services. You don’t need additional orchestration software to create or manage a swarm. Decentralized design: Instead of handling differentiation between node roles at deployment time, the Docker Engine handles any specialization at runtime. You can deploy both kinds of nodes, managers and workers, using the Docker Engine. This means you can build an entire swarm from a single disk image. Declarative service model: Docker Engine uses a declarative approach to let you define the desired state of the various services in your application stack.

The fundamental idea of YARN is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM). An application is either a single job or a DAG of jobs. The ResourceManager and the NodeManager form the data-computation framework. The ResourceManager is the ultimate authority that arbitrates resources among all the applications in the system. The NodeManager is the per-machine framework agent who is responsible for containers, monitoring their resource usage (cpu, memory, disk, network) and reporting the same to the ResourceManager/Scheduler. The per-application ApplicationMaster is, in effect, a framework specific library and is tasked with negotiating resources from the ResourceManager and working with the NodeManager(s) to execute and monitor the tasks.

Accelerate your development by using a storage layer that works natively with your Kubernetes environment. Focus on running your application, while we make sure you have the persistent volumes that give you the scale and stability you need. Reduce complexity and increase efficiency in your app modernization journey by truly integrating stateful storage into Kubernetes. Run your database or any persistent workload in a Kubernetes environment without having to worry about managing the storage layer. Ondat gives you the ability to deliver a consistent storage layer across any platform. We give you the persistent volumes to allow you to run your own databases without paying for expensive hosted options. Take back control of your data layer in Kubernetes. Kubernetes-native storage with dynamic provisioning that works as it should. Fully API-driven, tight integration with your containerized applications.

Container Engine for Kubernetes (OKE) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute shapes. DevOps engineers can use unmodified, open source Kubernetes for application workload portability and to simplify operations with automatic updates and patching. Deploy Kubernetes clusters including the underlying virtual cloud networks, internet gateways, and NAT gateways with a single click. Automate Kubernetes operations with web-based REST API and CLI for all actions including Kubernetes cluster creation, scaling, and operations. Oracle Container Engine for Kubernetes does not charge for cluster management. Easily and quickly upgrade container clusters, with zero downtime, to keep them up to date with the latest stable version of Kubernetes.

Kubernetes-as-a-Service for multi-cloud, on-premises, and edge. The ease of public cloud with the control of DIY. Supported by 100% Certified Kubernetes Admins. Overcome talent scarcity. Achieve 99.9% uptime, auto upgrading, and scaling supported by world-class 100% Certified Kubernetes Admins. Future proof your cloud-native journey with out-of-the-box edge, multi-cloud and data center integrations and auto-provisioning. Deploy k8s clusters in minutes with a rich set of pre-built cloud-native services and infrastructure plug-ins. Get help you with design, onboarding and integrations from Cloud Architects. PMK is a SaaS managed service that works with your infrastructure to create Kubernetes clusters instantly. Clusters come built in with monitoring and log aggregation, and integrate with all your existing tools, so you can focus just on building apps.

An engine purpose-built for embedded and IoT use cases, based on Moby Project technology from Docker. 3.5x smaller than Docker CE, packaged as a single binary. Available for a wide variety of chipset architectures, supporting everything from tiny IoT devices to large industrial gateways. Bandwidth-efficient updates with binary diffs, 10-70x smaller than pulling layers in common scenarios. Extract layers as they arrive to prevent excessive writing to disk, protecting your storage from eventual corruption. Atomic and durable image pulls defend against partial container pulls in the event of power failure. Prevents page cache thrashing during image pull, so your application runs undisturbed in low-memory situations. balenaEngine is a new container engine purpose-built for embedded and IoT use cases and compatible with Docker containers. Based on Moby Project technology from Docker, balenaEngine supports container deltas for 10-70x more efficient bandwidth usage.

IBM Cloud® Kubernetes Service is a certified, managed Kubernetes solution, built for creating a cluster of compute hosts to deploy and manage containerized apps on IBM Cloud®. It provides intelligent scheduling, self-healing, horizontal scaling and securely manages the resources that you need to quickly deploy, update and scale applications. IBM Cloud Kubernetes Service manages the master, freeing you from having to manage the host OS, container runtime and Kubernetes version-update process.

Develop apps fast without managing virtual machines or having to learn new tools—it's just your application, in a container, running in the cloud. By running your workloads in Azure Container Instances (ACI), you can focus on designing and building your applications instead of managing the infrastructure that runs them. Deploy containers to the cloud with unprecedented simplicity and speed—with a single command. Use ACI to provision additional compute for demanding workloads whenever you need. For example, with the Virtual Kubelet, use ACI to elastically burst from your Azure Kubernetes Service (AKS) cluster when traffic comes in spikes. Gain the security of virtual machines for your container workloads, while preserving the efficiency of lightweight containers. ACI provides hypervisor isolation for each container group to ensure containers run in isolation without sharing a kernel.

Mirantis Kubernetes Engine (formerly Docker Enterprise) provides simple, flexible, and scalable container orchestration and enterprise container management. Use Kubernetes, Swarm, or both, and experience the fastest time to production for modern applications across any environment. Enterprise container orchestration Avoid lock-in. Run Mirantis Kubernetes Engine on bare metal, or on private or public clouds—and on a range of popular Linux distributions. Reduce time-to-value. Hit the ground running with out-of-the-box dependencies including Calico for Kubernetes networking and NGINX for Ingress support. Leverage open source. Save money and maintain control by using a full stack of open source-based technologies that are production-proven, scalable, and extensible. Focus on apps—not infrastructure. Enable your IT team to focus on building business-differentiating applications when you couple Mirantis Kubernetes Engine with OpsCare Plus for a fully-managed K8s experience.

LXC is a userspace interface for the Linux kernel containment features. Through a powerful API and simple tools, it lets Linux users easily create and manage system or application containers. LXC containers are often considered as something in the middle between a chroot and a full fledged virtual machine. The goal of LXC is to create an environment as close as possible to a standard Linux installation but without the need for a separate kernel. LXC is free software, most of the code is released under the terms of the GNU LGPLv2.1+ license, some Android compatibility bits are released under a standard 2-clause BSD license and some binaries and templates are released under the GNU GPLv2 license. LXC's stable release support relies on the Linux distributions and their own commitment to pushing stable fixes and security updates.

What is Podman? Podman is a daemonless container engine for developing, managing, and running OCI Containers on your Linux System. Containers can either be run as root or in rootless mode. Simply put: alias docker=podman. Manage pods, containers, and container images. Supporting docker swarm. We believe that Kubernetes is the defacto standard for composing Pods and for orchestrating containers, making Kubernetes YAML a defacto standard file format. Hence, Podman allows the creation and execution of Pods from a Kubernetes YAML file (see podman-play-kube). Podman can also generate Kubernetes YAML based on a container or Pod (see podman-generate-kube), which allows for an easy transition from a local development environment to a production Kubernetes cluster.

Marathon is a production-grade container orchestration platform for Mesosphere’s Datacenter Operating System (DC/OS) and Apache Mesos. High Availability. Marathon runs as an active/passive cluster with leader election for 100% uptime. Multiple container runtimes. Marathon has first-class support for both Mesos containers (using cgroups) and Docker. Stateful apps. Marathon can bind persistent storage volumes to your application. You can run databases like MySQL and Postgres, and have storage accounted for by Mesos. Beautiful and powerful UI. Service Discovery & Load Balancing. Several methods available. Health Checks. Evaluate your application’s health using HTTP or TCP checks. Event Subscription. Supply an HTTP endpoint to receive notifications - for example to integrate with an external load balancer. Metrics. Query them at /metrics in JSON format, push them to systems like Graphite, StatsD and DataDog, or scrape them using Prometheus.

Container Service for Kubernetes (ACK) from Alibaba Cloud is a fully managed service. ACK is integrated with services such as virtualization, storage, network and security, providing user a high performance and scalable Kubernetes environments for containerized applications. Alibaba Cloud is a Kubernetes Certified Service Provider (KCSP) and ACK is certified by Certified Kubernetes Conformance Program which ensures consistent experience of Kubernetes and workload portability. Kubernetes Certified Service Provider (KCSP) and qualified by Certified Kubernetes Conformance Program. Ensures Kubernetes consistent experience, workload portability. Provides deep and rich enterprise-class cloud native abilities. Ensures end-to-end application security and provides fine-grained access control. Allows you to quickly create Kubernetes clusters. Provides container-based management of applications throughout the application lifecycle.

Cloud Foundry makes it faster and easier to build, test, deploy and scale applications, providing a choice of clouds, developer frameworks, and application services. It is an open source project and is available through a variety of private cloud distributions and public cloud instances. Cloud Foundry has a container-based architecture that runs apps in any programming language. Deploy apps to CF using your existing tools and with zero modification to the code. Instantiate, deploy, and manage high-availability Kubernetes clusters with CF BOSH on any cloud. By decoupling applications from infrastructure, you can make individual decisions about where to host workloads – on premise, in public clouds, or in managed infrastructures – and move those workloads as necessary in minutes, with no changes to the app.

Single Tenant Public Cloud with all the security, savings and control of private cloud. Fully Managed by Joyent. Single Tenant Security, Full Operations control over your Private Cloud with Installation, Onboarding and Support provided by Joyent. Open Source or Commercial support for on-premises, user managed private cloud. Built to deliver VMs, containers and bare metal. Built to support exabyte-scale workloads. Joyent engineers provide 360 degree support for modern application architectures, including microservices, apis, development frameworks and container-native devops tooling. Hybrid, Modern and Open, Triton is engineered to run the world’s largest cloud native applications.

LXD is a next generation system container manager. It offers a user experience similar to virtual machines but using Linux containers instead. It's image based with pre-made images available for a wide number of Linux distributions and is built around a very powerful, yet pretty simple, REST API. To get a better idea of what LXD is and what it does, you can try it online! Then if you want to run it locally, take a look at our getting started guide. The LXD project was founded and is currently led by Canonical Ltd with contributions from a range of other companies and individual contributors. The core of LXD is a privileged daemon which exposes a REST API over a local unix socket as well as over the network (if enabled). Clients, such as the command line tool provided with LXD itself then do everything through that REST API. It means that whether you're talking to your local host or a remote server, everything works the same way.

KubeSphere is a distributed operating system for cloud-native application management, using Kubernetes as its kernel. It provides a plug-and-play architecture, allowing third-party applications to be seamlessly integrated into its ecosystem. KubeSphere is also a multi-tenant enterprise-grade open-source Kubernetes container platform with full-stack automated IT operations and streamlined DevOps workflows. It provides developer-friendly wizard web UI, helping enterprises to build out a more robust and feature-rich Kubernetes platform, which includes the most common functionalities needed for enterprise Kubernetes strategies. A CNCF-certified Kubernetes platform, 100% open-source, built and improved by the community. Can be deployed on an existing Kubernetes cluster or Linux machines, supports the online and air-gapped installation. Deliver DevOps, service mesh, observability, application management, multi-tenancy, storage, and networking management in a unified platform.

Strong Network allows the management of containers for DevOps online (as opposed to locally on developers laptop) and access them through a cloud IDE or a SSH connection (in the case of a local IDE). These containers provide a complete management of access keys and credentials to multiple types of resources, in addition to providing data loss prevention (DLP). In addition we combine the IDE with a secure chrome browser (remote browser isolation) such that any third party applications for DevOps can be accessed with DLP. This platform is a complete replacement for VDI/DaaS for code development. Our platform allows the provisioning and management of containers for development online (as opposed to locally on developers' laptops, using a solution like docker desktop for example) and enables accessing them through a cloud IDE or a SSH connection (in the case of a local IDE).

A simple and flexible workload orchestrator to deploy and manage containers and non-containerized applications across on-prem and clouds at scale. Single 35MB binary that integrates into existing infrastructure. Easy to operate on-prem or in the cloud with minimal overhead. Orchestrate applications of any type - not just containers. First class support for Docker, Windows, Java, VMs, and more. Bring orchestration benefits to existing services. Achieve zero downtime deployments, improved resilience, higher resource utilization, and more without containerization. Single command for multi-region, multi-cloud federation. Deploy applications globally to any region using Nomad as a single unified control plane. One single unified workflow for deploying to bare metal or cloud environments. Enable multi-cloud applications with ease. Nomad integrates seamlessly with Terraform, Consul and Vault for provisioning, service networking, and secrets management.

Spot Ocean lets you reap the benefits of Kubernetes without worrying about infrastructure while gaining deep cluster visibility and dramatically reducing costs. The key question is how to use containers without the operational overhead of managing the underlying VMs while also take advantage of the cost benefits associated with Spot Instances and multi-cloud. Spot Ocean is built to solve this problem by managing containers in a “Serverless” environment. Ocean provides an abstraction on top of virtual machines allowing to deploy Kubernetes clusters without the need to manage the underlying VMs. Ocean takes advantage of multiple compute purchasing options like Reserved and Spot instance pricing and failover to On-Demand instances whenever necessary, providing 80% reduction in infrastructure costs. Spot Ocean is a Serverless Compute Engine that abstracts the provisioning (launching), auto-scaling, and management of worker nodes in Kubernetes clusters.

rkt is an application container engine developed for modern production cloud-native environments. It features a pod-native approach, a pluggable execution environment, and a well-defined surface area that makes it ideal for integration with other systems. The core execution unit of rkt is the pod, a collection of one or more applications executing in a shared context (rkt's pods are synonymous with the concept in the Kubernetes orchestration system). rkt allows users to apply different configurations (like isolation parameters) at both pod-level and at the more granular per-application level. rkt's architecture means that each pod executes directly in the classic Unix process model (i.e. there is no central daemon), in a self-contained, isolated environment. rkt implements a modern, open, standard container format, the App Container (appc) spec, but can also execute other container images, like those created with Docker.

Anthos lets you build, deploy, and manage applications anywhere in a secure, consistent manner. You can modernize existing applications running on virtual machines while deploying cloud-native apps on containers in an increasingly hybrid and multi-cloud world. Our application platform provides a consistent development and operations experience across all your deployments while reducing operational overhead and improving developer productivity. Anthos GKE: Enterprise-grade container orchestration and management service for running Kubernetes clusters anywhere, in both cloud and on-premises environments. Anthos Config Management: Define, automate, and enforce policies across environments in order to meet your organization’s unique security and compliance requirements. Anthos Service Mesh: Anthos unburdens operations and development teams by empowering them to manage and secure traffic between services while monitoring, troubleshooting, and improving application performance.

CloudPlex is an enterprise cloud enablement platform that meets both the technical and business needs of the enterprise for running their applications in the cloud. It handles all key aspects of managing apps including governance, security, orchestration and cost management. The platform manages cloud-native, container-based and legacy applications on all major public clouds in a unified manner. It enables a completely automated application provisioning and orchestration process. CloudPlex addresses the business needs of the enterprise by providing a complete estimation, review, approval and change management workflow of cloud-spend, as well as end-to-end license management.

Helios is a Docker orchestration platform for deploying and managing containers across an entire fleet of servers. Helios provides a HTTP API as well as a command-line client to interact with servers running your containers. It also keeps a history of events in your cluster including information such as deploys, restarts and version changes. The binary release of Helios is built for Ubuntu 14.04.1 LTS, but Helios should be buildable on any platform with at least Java 8 and a recent Maven 3 available. Use helios-solo to launch a local environment with a Helios master and agent. Helios is pragmatic. We're not trying to solve everything today, but what we have, we try hard to ensure is rock-solid. So we don't have things like resource limits or dynamic scheduling yet. Today, for us, it has been more important to get the CI/CD use cases, and surrounding tooling solid first. That said, we eventually want to do dynamic scheduling, composite jobs, etc.

The fully managed Azure Kubernetes Service (AKS) makes deploying and managing containerized applications easy. It offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence. Elastic provisioning of additional capacity without the need to manage the infrastructure. Add event-driven autoscaling and triggers through KEDA. Faster end-to-end development experience with Azure Dev Spaces including integration with Visual Studio Code Kubernetes tools, Azure DevOps, and Azure Monitor. Advanced identity and access management using Azure Active Directory, and dynamic rules enforcement across multiple clusters with Azure Policy. Available in more regions than any other cloud providers.

D2iQ Enterprise Kubernetes Platform (DKP) Run Kubernetes Workloads at Scale DKP includes everything you need to ease Kubernetes adoption, expand Kubernetes use, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Built to Solve the Toughest Enterprise Kubernetes Challenges Created to accelerate the journey to production at scale, DKP provides a single, centralized point of control to build, run, and manage applications across any infrastructure. Enable Day 2 Readiness Out-of-the-Box Without Lock-In DKP takes care of the heavy lifting by providing a comprehensive, enterprise-grade Kubernetes distribution and a full stack of CNCF-certified Day 2 platform applications that are integrated, automated, and tested at scale for an out-of-the-box, production-ready experience.

Contrail Insights enables operators to control and visualize how infrastructure resources are utilized by workloads, and plan adequate capacity to ensure application performance. Using Contrail Insights, operators of software-defined data centers have a toolset for visibility into operational performance and infrastructure resources. In today’s large-scale multicloud networks, operations teams must have real-time and historical visibility into their infrastructure to ensure service reliability and minimize operational costs. Cloud infrastructure is typically built in layers of abstraction and, as operations become more automated, performance monitoring replaces manual changes as the most common task. As telemetry data increases, however, and abstraction layers are peeled back to examine and troubleshoot the state of the network infrastructure, monitoring complexity increases as well.

Automagic cloud hosting for awesome teams. From prototypes to production-ready applications, Scalingo empowers software teams to manage entire application lifecycles without sysadmin knowledge. Just push your code, your application stack and dependencies are automagically detected and packaged. Instant deployment, instant availability, instant work makes continuous delivery possible. Without DevOps. Start small, grow later, from a prototype to a production-grade infrastructure, instantly, billed by the minute. From 1 to 100 containers in seconds, to handle a peak of traffic or absorb your usual growth, with end-to-end automated processes taking care of continuous deployment. Dedicated resources are allocated for your application. All your containers are isolated from others with security built-in: we take care of OS and software stacks security fixes.

Low-ops, minimal production Kubernetes, for devs, cloud, clusters, workstations, Edge and IoT. MicroK8s automatically chooses the best nodes for the Kubernetes datastore. When you lose a cluster database node, another node is promoted. No admin needed for your bulletproof edge. MicroK8s is small, with sensible defaults that ‘just work’. A quick install, easy upgrades and great security make it perfect for micro clouds and edge computing. Full enterprise support available, with no subscription needed. Optional 24/7 support with 10 year security maintenance. Under the cell tower. On the racecar. On satellites or everyday appliances, MicroK8s delivers the full Kubernetes experience on IoT and micro clouds. Fully containerized deployment with compressed over-the-air updates for ultra-reliable operations. MicroK8s will apply security updates automatically by default, defer them if you want. Upgrade to a newer version of Kubernetes with a single command. It’s really that easy.

Data-driven computational pipelines. Nextflow enables scalable and reproducible scientific workflows using software containers. It allows the adaptation of pipelines written in the most common scripting languages. Its fluent DSL simplifies the implementation and deployment of complex parallel and reactive workflows on clouds and clusters. Nextflow is built around the idea that Linux is the lingua franca of data science. Nextflow allows you to write a computational pipeline by making it simpler to put together many different tasks. You may reuse your existing scripts and tools and you don't need to learn a new language or API to start using it. Nextflow supports Docker and Singularity containers technology. This, along with the integration of the GitHub code-sharing platform, allows you to write self-contained pipelines, manage versions, and rapidly reproduce any former configuration. Nextflow provides an abstraction layer between your pipeline's logic and the execution layer.

Ridge goes beyond the public cloud with a flexible cloud that’s anywhere you need to be. Through a single API, Ridge Distributed Cloud converts any underlying infrastructure — public or private — into a cloud-native platform. Businesses get a cloud customized for their specific throughput, locality, and commercial requirements. Ridge requires zero installation or CAPEX: it leverages existing servers and runs application workloads on any IaaS, virtualization, or bare-metal machines. Whether you need to deploy in a private data center, on-prem, edge micro-center, or even in a multi-facility hybrid environment, Ridge is a cloud which expands your footprint without limits.

CLI tool for spawning and running containers according to the OCI specification. runc only supports Linux. It must be built with Go version 1.17 or higher. In order to enable seccomp support, you will need to install libseccomp on your platform. runc supports optional build tags for compiling support of various features, with some of them enabled by default. runc currently supports running its test suite via Docker. To run the suite just type make test. There are additional make targets for running the tests outside of a container but this is not recommended as the tests are written with the expectation that they can write and remove anywhere. You can run a specific test case by setting the TESTFLAGS variable. You can run a specific integration test by setting the TESTPATH variable. You can run a specific rootless integration test by setting the ROOTLESS_TESTPATH variable. Please note that runc is a low-level tool not designed with an end-user in mind.

Cycle offers a refreshing take on container orchestration, enabling teams to spend more time building and less time managing. Deploy applications seamlessly, gain enhanced visibility, and maintain effortless control, all while reducing complexity and technical debt.

WebSphere Hybrid Edition is a flexible, all-in-one solution for WebSphere application server deployments that can enable organizations to meet current and future requirements. It will enable you to optimize your existing WebSphere entitlements, modernize your applications, and build new cloud-native Java EE applications. An all-in-one solution to help you run, modernize and create new Java applications. Use IBM Cloud® Transformation Advisor and IBM Mono2Micro to help assess the cloud readiness of your applications, explore options for containerization and microservices, and get assistance in adapting code. Explore and unlock the benefits of the all-in-one IBM WebSphere Hybrid Edition solution for your application run time and modernization features. Identify which WebSphere applications can easily move to containers for immediate savings. Manage costs, enhancements, and security proactively throughout the application lifecycle.

Run, manage, control and secure the apps, data and IT that run your business, from edge to cloud. HPE Ezmeral advances digital transformation initiatives by shifting time and resources from IT operations to innovations. Modernize your apps. Simplify your Ops. And harness data to go from insights to impact. Accelerate time-to-value by deploying Kubernetes at scale with integrated persistent data storage for app modernization on bare metal or VMs, in your data center, on any cloud or at the edge. Harness data and get insights faster by operationalizing the end-to-end process to build data pipelines. Bring DevOps agility to the machine learning lifecycle, and deliver a unified data fabric. Boost efficiency and agility in IT Ops with automation and advanced artificial intelligence. And provide security and control to eliminate risk and reduce costs. HPE Ezmeral Container Platform provides an enterprise-grade platform to deploy Kubernetes at scale for a wide range of use cases.

Create, manage, operate, and optimize HPC and big compute clusters of any scale. Deploy full clusters and other resources, including scheduler, compute VMs, storage, networking, and cache. Customize and optimize clusters through advanced policy and governance features, including cost controls, Active Directory integration, monitoring, and reporting. Use your current job scheduler and applications without modification. Give admins full control over which users can run jobs, as well as where and at what cost. Take advantage of built-in autoscaling and battle-tested reference architectures for a wide range of HPC workloads and industries. CycleCloud supports any job scheduler or software stack—from proprietary in-house to open-source, third-party, and commercial applications. Your resource demands evolve over time, and your cluster should, too. With scheduler-aware autoscaling, you can fit your resources to your workload.

Organizations are adopting containerized environments to speed app development. But these apps still need services, such as routing, SSL offload, scale, and security. F5 Container Ingress Services makes it easy to deliver advanced application services to your container deployments, enabling Ingress control HTTP routing, load balancing, and application delivery performance, as well as robust security services. Container Ingress Services easily integrates BIG-IP solutions with native container environments, such as Kubernetes, and PaaS container orchestration and management systems, such as RedHat OpenShift. Scale apps to meet container workloads and enable security services to protect container data. Container Ingress Services enables self-service app performance and security services within your orchestration by integrating BIG-IP platforms with your container environment.