Swarm 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments. Native support for launching containers with Docker and AppC images.Support for running cloud native and legacy applications in the same cluster with pluggable scheduling policies. HTTP APIs for developing new distributed applications, for operating the cluster, and for monitoring. Built-in Web UI for viewing cluster state and navigating container sandboxes.

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.

Oracle Container Cloud Service (also known as Oracle Cloud Infrastructure Container Service Classic) offers Development and Operations teams the benefits of easy and secure Docker containerization when building and deploying applications. Provides an easy-to-use interface to manage the Docker environment. Provides out-of-the-box examples of containerized services and application stacks that can be deployed in one click. Enables developers to easily connect to their private Docker registries (so they can ‘bring their own containers’). Enables developers to focus on building containerized application images and Continuous Integration/Continuous Delivery (CI/CD) pipelines, not on learning complex orchestration technologies.

Nebula container orchestrator aims to help devs and ops treat IoT devices just like distributed Dockerized apps. It aim is to act as Docker orchestrator for IoT devices as well as for distributed services such as CDN or edge computing that can span thousands (possibly even millions) of devices worldwide and it does it all while being open-source and completely free. Nebula is a open source project created for Docker orchestration and designed to manage massive clusters at scale, it achieves this by scaling each project component out as far as required. The project’s aim is to act as Docker orchestrator for IoT devices as well as for distributed services such as CDN or edge computing. Nebula is capable of simultaneously updating tens of thousands of IoT devices worldwide with a single API call in an effort to help devs and ops treat IoT devices just like distributed Dockerized apps.

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.

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).

Centrally deploy, run, and manage Kubernetes clusters across all of your environments with a comprehensive container orchestration platform that finally delivers on the Kubernetes promise. Optimized for large enterprises, Kublr is designed to provide multi-cluster deployments and observability. We made it easy, so your team can focus on what really matters: innovation and value generation. Enterprise-grade container orchestration might start with Docker and Kubernetes, but Kublr delivers the comprehensive, flexible tools that ensure you deploy enterprise-class Kubernetes clusters from Day One. The platform eases adoption for enterprises new to Kubernetes while providing the flexibility and control mature organizations need. While master self-healing is key, true high availability can only be achieved with additional node self-healing, ensuring worker nodes are as reliable as the cluster.

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.

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.

Instainer is a Docker container hosting service which allows run instantly any Docker container on the cloud with Heroku-style Git deployment. When we started migration to Docker in our company, we felt that something was still missing. Docker brought amazing capabilities to our DevOps team, but still there wasn't any service to click and run any Docker containers instantly. We developed Instainer for engineers who want to run Docker containers on the cloud instantly. Your feedbacks & thoughts are really welcome. Instainer provides Heroku-style Git deployment for your containers. After running your container; Instainer automatically creates Git repository for you and pushes your container’s data into this repository. You can easily clone and change your data using Git. The WordPress rich content management system can utilize plugins, widgets, and themes.

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.

Fast-track your way to production-ready Kubernetes and simplify lifecycle management with Nutanix Kubernetes Engine, an enterprise Kubernetes management solution. NKE empowers you to deliver and manage an end-to-end, production-ready Kubernetes environment with push-button simplicity while preserving a native user experience. Deploy and configure production-ready Kubernetes clusters in minutes, as opposed to days or weeks. Automatically configure and deploy your Kubernetes clusters for high availability through NKE’s simple, streamlined workflow. Every NKE Kubernetes cluster is deployed with a Nutanix full-featured CSI driver, which natively integrates with Volumes Block Storage and Files Storage to easily provide persistent storage for containerized applications. Add Kubernetes worker nodes with a single click. When additional physical resources are needed, expanding the cluster is just as simple.

A deployment tool for Docker. Takes containers from a Docker registry and runs them on a fleet of hosts with the correct environment variables, host volume mappings, and port mappings. Supports rolling deployments out of the box, and makes it easy to ship applications to Docker servers. We're using it in our production infrastructure. Centurion works in a two part deployment process where the build process ships a container to the registry, and Centurion ships containers from the registry to the Docker fleet. Registry support is handled by the Docker command line tools directly so you can use anything they currently support via the normal registry mechanism. If you haven't been using a registry, you should read up on how to do that before trying to deploy anything with Centurion. This code is developed in the open with input from the community through issues and PRs. There is an active maintainer team within New Relic.

Storidge was built on the idea that operating storage for enterprise applications should be really simple. We take a fundamentally different approach to Kubernetes storage and Docker volumes. By automating storage operations for orchestration systems, such as Kubernetes and Docker Swarm, it saves you time and money by eliminating the need for expensive expertise to setup, and operate storage infrastructure. This enables developers to focus their best energies on writing applications and creating value, and operators on delivering the value faster to market. Add persistent storage to your single node test cluster in seconds. Deploy storage infrastructure as code, and minimize operator decisions while maximizing operational workflow. Automated updates, provisioning, recovery, and high availability. Keep your critical databases and apps running with auto failover and automatic data recovery.

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.

Run containers without creating Kubernetes VMs or clusters. We handle the installation, maintenance, and administration of software and runtime environments. A standard way to create artifacts (images) in your CI/CD pipeline with no code refactoring required. Code in your preferred programming language. Use the tools you are familiar with for the most challenging tasks. Configure prepared container instances that will always be ready to handle any load. This mode of operation guarantees that there will be no cold starts, allowing you to quickly process any loads. Run containers on your VPC network to interact with virtual machines and manage databases without providing public access to them. Only pay for serverless data storage and operations. Special pricing for the service means the first 1,000,000 container calls each month are provided free of charge.

Stakkr is a a docker recompose tool that uses docker compose to easily create / maintain a stack of services, for example for web development. Via a configuration file you can setup the required services and let stakkr link and start everything for you. It works only in CLI and it’s a good replacement to Vagrant. If you have heard of Docker, you know that when you need to build a full environment with multiple services that are linked, you either have to do everything manually or use docker-compose. The second solution is the best but it implies that you need, for each environment, to change your parameters, choose your images, learn the docker-compose command line tool, etc. In brief, it’s not very flexible and hard to learn. Stakkr will help you, via a very simple configuration file and a predefined list of services (that can be extended by plugins) to build a complete environment. Plus, to control it in command line. It makes use of docker easy.

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.

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.

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.

It has never been easier to deploy container-based web apps. Just pull container images from Docker Hub or a private Azure Container Registry, and Web App for Containers will deploy the containerized app with your preferred dependencies to production in seconds. The platform automatically takes care of OS patching, capacity provisioning, and load balancing. Automatically scale vertically and horizontally based on application needs. Granular scaling rules are available to handle peaks in workload automatically while minimizing costs during off-peak times. Deploy data and host services across multiple locations with just few mouse clicks.

Pliant’s solution for IT Process Automation simplifies, streamlines, and secures how teams build and deploy automation. Reduce human error, ensure compliance, and elevate your efficiency, with Pliant. Ingest existing automation and write new automation with single-pane orchestration. Ensure compliance using consistent, practical built-in governance. Pliant has abstracted thousands of vendor APIs to create intelligent action blocks allowing users to drag-and-drop blocks, rather than writing and rewriting lines of code. From a single platform, citizen developers are able to build consistent and meaningful automation across platforms, services, and applications in minutes — maximizing value across the entire technology stack in one place. ​With​ ​our​ ​ability​ ​to​ ​add​ ​new​ ​APIs​ ​in​ ​15​ ​business​ ​days,​ ​anything that​ ​is​ ​not​ ​already​ ​out​ ​of​ ​the​ ​box​ ​will​ ​be​ ​in​ ​an​ ​industry​ ​leading​ ​timeframe.

JAAS gives you Juju, as a service. JAAS is the best way to quickly model and deploy your cloud-based applications. Concentrate on your software and solutions with a fully managed Juju infrastructure. In partnership with Google, Canonical delivers a ‘pure K8s’ experience, tested across a wide range of clouds and integrated with modern metrics and monitoring. The Charmed Kubernetes is for full production usage. Start using Kubernetes today. JAAS deploys your workload to your cloud of choice, so you must provide your cloud credentials for JAAS to create and access virtual machines on your behalf. We recommend that users generate a new set of credentials exclusively for use with JAAS via the public cloud's IAM tools. Hundreds of popular cloud-oriented applications such as Kubernetes, Apache Hadoop, Big Data solutions and OpenStack are available in the store as charms and bundles. New ones are added nearly every day and are regularly reviewed and updated.

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.

Provisioning and managing cloud native infrastructure doesn’t have to be a moonshot. In fact, it can be as simple as point-and-click. Mirantis Container Cloud gives administrators and developers the power to deploy Kubernetes and OpenStack environments from a single pane of glass—across on-prem, hosted bare metal, and public cloud. No more scheduling work around updates. Get access to new features faster—with zero downtime for clusters and workloads. Give your developers the power to effortlessly create, observe, and manage Kubernetes clusters, all with custom guardrails. Mirantis Container Cloud gives you a single console to manage your entire hybrid infrastructure estate. Mirantis Container Cloud deploys, manages, and maintains both Mirantis Kubernetes Engine container-based deployments and Mirantis OpenStack for Kubernetes virtualization environments.

Quickly build, deploy, and scale web apps and APIs on your terms. Work with .NET, .NET Core, Node.js, Java, Python or PHP, in containers or running on Windows or Linux. Meet rigorous, enterprise-grade performance, security and compliance requirements used a trusted, fully managed platform that handles over 40 billion requests per day. Fully managed platform with built-in infrastructure maintenance, security patching, and scaling. Built-in CI/CD integration and zero-downtime deployments. Rigorous security and compliance, including SOC and PCI, for seamless deployments across public cloud, Azure Government, and on-premises environments. Bring your code or container using the framework language of your choice. Increase developer productivity with tight integration of Visual Studio Code and Visual Studio. Streamline CI/CD with Git, GitHub, GitHub Actions, Atlassian Bitbucket, Azure DevOps, Docker Hub, and Azure Container Registry.

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.

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.

JFrog Pipelines empowers software teams to ship updates faster by automating DevOps processes in a continuously streamlined and secure way across all their teams and tools. Encompassing continuous integration (CI), continuous delivery (CD), infrastructure and more, it automates everything from code to production. Pipelines is natively integrated with the JFrog Platform and is available with both cloud (software-as-a-service) and on-prem subscriptions. Scales horizontally, allowing you to have a centrally managed solution that supports thousands of users and pipelines in a high-availability (HA) environment. Pre-packaged declarative steps with no scripting required, making it easy to create complex pipelines, including cross-team “pipelines of pipelines.” Integrates with most DevOps tools. The steps in a single pipeline can run on multi-OS, multi-architecture nodes, reducing the need to have multiple CI/CD tools.

Build your deep learning project quickly on Google Cloud: Quickly prototype with a portable and consistent environment for developing, testing, and deploying your AI applications with Deep Learning Containers. These Docker images use popular frameworks and are performance optimized, compatibility tested, and ready to deploy. Deep Learning Containers provide a consistent environment across Google Cloud services, making it easy to scale in the cloud or shift from on-premises. You have the flexibility to deploy on Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm.

Apprenda Cloud Platform empowers enterprise IT to create a Kubernetes-enabled shared service on the infrastructures of their choice and offer it to developers across business units. ACP supports your entire custom application portfolio. Rapidly build, deploy, run, and manage cloud-native, microservices, and container-based .NET and Java applications or modernize traditional workloads. ACP gives your developers self-service access to the tools they need to rapidly build applications, while IT operators can very easily orchestrate the environments and workflows. Enterprise IT becomes a true service provider. ACP is a single platform spanning your multiple data- centers and clouds. Run ACP on-premise or consume it as a managed service on the public cloud; both with the assurance of complete infrastructure independence. ACP enables policy-driven control over all of your application workloads' infrastructure utilization and DevOps processes.