UbiOps 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.

Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines. Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications. Integrate Compute with other Google Cloud services such as AI/ML and data analytics. Make reservations to help ensure your applications have the capacity they need as they scale. Save money just for running Compute with sustained-use discounts, and achieve greater savings when you use committed-use discounts.

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.

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.

SaltStack is an intelligent IT automation platform that can manage, secure, and optimize any infrastructure—on-prem, in the cloud, or at the edge. It’s built on a unique and powerful event-driven automation engine that detects events in any system and reacts intelligently to them, making it an extremely effective solution for managing large, complex environments. With the newly launched SecOps offering, SaltStack can detect security vulnerabilities and non-compliant, mis-configured systems. As soon as an issue is detected, this powerful automation helps you and your team remediate it, keeping your infrastructure securely configured, compliant, and up-to-date. The SecOps suite includes both Comply and Protect. Comply scans and remediates against CIS, DISA-STIG, NIST, PCI, HIPAA compliance standards. And Protect scans for vulnerabilities and patches and updates your operating systems.

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.

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.

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.

Xosphere Instance Orchestrator automatically performs spot optimization by leveraging AWS Spot instances to optimize the cost of your infrastructure while maintaining the same level of reliability as on-demand instances. Spot instances are diversified amongst family, size, and availability zones to minimize any impact when Spot instances are reclaimed. Instances utilizing reservations will not be replaced by Spot instances. Automatically respond to Spot termination notifications and fast-track replacement on-demand instances. EBS volumes can be configured to be attached to new replacement instances enabling stateful applications to work seamlessly.

AI-driven cloud optimization for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps. CAST AI gets your container costs down and keeps them there. Engineers can keep working as they did while AI automates infrastructure provisioning. Same performance, half the cost, zero hassle. Book a quick call with our team, set the deal up and the challenge is on. Get the full value from every dollar you pay. Our AI engine will select the optimal instance type every time and bin pack nodes in them. Pods will get the right CPU and memory limits set automatically. Your instances will scale up and down to adapt to load at hand. Scale to zero or on a schedule when there's no work to be done. Production grade spot instance support for your Kubernetes workloads. Save as much as 90% without locking yourself in with reserved instances.

Automatically Optimize Your Big Data Workloads and Control Costs on Any Cloud. Get Up to 3X Price Performance Improvement with Pepperdata. Unlike traditional infrastructure monitoring and APM vendors, we automatically optimize system resources while providing a correlated and granular understanding of your applications and infrastructure. Powered by machine learning, we deliver application SLAs required by the business while providing complete visibility and insight into your big data stack. Automatically reduce dynamic instances and pack more workloads into existing instances. Identify opportunities for further manual tuning using application-specific recommendations. Alert on aberrant application behavior. Maximize the performance of your current big data infrastructure without sacrificing observability. Our customers run more applications and manage costs with real-time optimization and granular visibility.

Amazon EC2 Auto Scaling helps you maintain application availability and lets you automatically add or remove EC2 instances using scaling policies that you define. Dynamic or predictive scaling policies let you add or remove EC2 instance capacity to service established or real-time demand patterns. The fleet management features of Amazon EC2 Auto Scaling help maintain the health and availability of your fleet. Automation is vital to efficient DevOps, and getting your fleets of Amazon EC2 instances to launch, provision software, and self-heal automatically is a key challenge. Amazon EC2 Auto Scaling provides essential features for each of these instance lifecycle automation steps. Use machine learning to predict and schedule the right number of EC2 instances to anticipate approaching traffic changes.

Simplify application delivery with software-defined load balancers, web application firewall, and container ingress services for any application in any data center and cloud. Simplify administration with centralized policies and operational consistency across on-premises data centers, and hybrid and public clouds, including VMware Cloud (VMC on AWS, OCVS, AVS, GCVE), AWS, Azure, Google, and Oracle Cloud. Free infrastructure teams from manual tasks and enable DevOps teams with self-service. Application delivery automation toolkits include Python SDK, RESTful APIs, Ansible and Terraform integrations. Gain unprecedented insights, including network, end users and security, with real-time application performance monitoring, closed-loop analytics and deep machine learning.

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.

The perfect public cloud is ready to handle your workload! eCommerce applications remain up and running even during peak loads, SaaS solutions work smoothly, CPU-intensive rendering tasks are carried out cost-efficiently, and data archives and backups are stored redundantly. Whether you are looking to blend on-site applications with a public cloud into a hybrid cloud, or require a genuine alternative to a multi-cloud strategy, the Compute Engine is your perfect choice—with transparent prices, maximum data privacy in certified data centers, an unbeatable backbone connection, simple use thanks to the Data Center Designer and the Cloud REST API, and reliable live vertical scaling. All your business-critical data is extremely safe with us. It is processed and stored with dual redundancy in our certified data centers in the United States and Europe. The Compute Engine leverages your company’s flexibility thanks to low investments and faster responses to market changes.

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.

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.

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.

Microservices, containers and Kubernetes help to free apps from infrastructure, enabling them to work independently and run anywhere. With VMware Tanzu, you can make the most of these cloud native patterns, automate the delivery of containerized workloads, and proactively manage apps in production. It’s all about freeing developers to do their thing: build great apps. Adding Kubernetes to your infrastructure doesn’t have to add complexity. With VMware Tanzu, you can ready your infrastructure for modern apps with consistent, conformant Kubernetes everywhere. Provide a self-service, compliant experience for developers that clears their path to production. Then centrally manage, govern and observe all clusters and apps across clouds. It’s that simple.

mogenius combines visibility, observability, and automation in a single platform for comprehensive Kubernetes control. Connect and visualize your Kubernetes clusters and workloads​. Provide visibility for the entire team. Identify misconfigurations across your workloads. Take action directly within the mogenius platform. Automate your K8s operations with service catalogs, developer self-service, and ephemeral environments​. Leverage developer self-service to simplify deployments for your developers. Optimize resource allocation and avoid configuration drift through standardized and automated workflows. Eliminate duplicate work and encourage reusability with service catalogs. Get full visibility into your current Kubernetes setup. Deploy a cloud-agnostic Kubernetes operator to receive a complete overview of what’s going on across your clusters and workloads. Provide developers with local and ephemeral testing environments in a few clicks that mirror your production setup.

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.

Better operators for enterprise apps with a full application graph and declarative integration for both Kubernetes and legacy estate. Juju operator integration allows us to keep each operator as simple as possible, then compose them to create rich application graph topologies that support complex scenarios with a simple, consistent experience and much less YAML. The UNIX philosophy of ‘doing one thing well’ applies to large-scale operations code too, and the benefits of clarity and reuse are exactly the same. Small is beautiful. Juju allows you to adopt the operator pattern for your entire estate, including legacy apps. Model-driven operations dramatically reduce maintenance and operations costs for traditional workloads without re-platforming to K8s. Once charmed, legacy apps become multi-cloud ready, too. The Juju Operator Lifecycle Manager (OLM) uniquely supports both container and machine-based apps, with seamless integration between them.

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.

Fully serverless platform. Cloud Build scales up and scales down in response to load with no need to pre-provision servers or pay in advance for additional capacity. Pay only for what you use. With custom build steps and pre-created extensions to third party apps, enterprises can easily tie their legacy or home-grown tools as a part of their build process. Guard against security threats in your software supply chain with vulnerability scanning. Automatically block the deployment of vulnerable images based on policies set by DevSecOps. Cloud Build scales up and down with no infrastructure to set up, upgrade, or scale. Run builds in a fully managed environment across Google Cloud, on-premises, other public clouds, or your own private network. Create portable images directly from the source without a Dockerfile using buildpacks. Support for Tekton pipelines running on Kubernetes gives you scale and self-healing benefits of Kubernetes, without lock-in.

Focus on building applications and business logic, and let Azure solve the hard distributed systems problems such as reliability, scalability, management, and latency. Service Fabric is an open source project and it powers core Azure infrastructure as well as other Microsoft services such as Skype for Business, Intune, Azure Event Hubs, Azure Data Factory, Azure Cosmos DB, Azure SQL Database, Dynamics 365, and Cortana. Designed to deliver highly available and durable services at cloud-scale, Azure Service Fabric intrinsically understands the available infrastructure and resource needs of applications, enabling automatic scale, rolling upgrades, and self-healing from faults when they occur. Focus on building features that add business value to your application, without the overhead of designing and writing additional code to deal with issues of reliability, scalability, management, or latency in the underlying infrastructure.

No need to compromise between the convenience of a graphical user interface and the power of infrastructure as code anymore. Kubestack allows you to design your Kubernetes platform in an intuitive, graphical user interface. And then export your custom stack to Terraform code for reliable provisioning and sustainable long-term operations. Platforms designed using Kubestack Cloud are exported to a Terraform root module, that's based on the Kubestack framework. All framework modules are open-source, lowering the long-term maintenance effort and allowing easy access to continued improvements. Adapt the tried and tested pull-request and peer-review based workflow to efficiently manage changes with your team. Reduce long-term effort by minimizing the bespoke infrastructure code you have to maintain yourself.

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.

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.

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.

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.

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.

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.

Run Kubernetes in production with the #1 Kubernetes platform for persistent storage, backup, DR, data security and capacity management. Easily protect, restore and migrate your Kubernetes applications in any cloud or data center. The Portworx Enterprise Storage Platform is your end-to-end storage and data management solution for all your Kubernetes projects, including container-based CaaS, DBaaS, SaaS, and Disaster Recovery initiatives. Your apps will benefit from container-granular storage, disaster recovery, data security, multi-cloud migrations and more. Easily solve the enterprise requirements needed to run data service on Kubernetes. Effortlessly offer a cloud-like DbaaS to your users without giving up control. Scale the backend data services powering your SaaS app without operational complexity. Add DR to any Kubernetes app with a single command. Easily backup and restore all your Kubernetes applications.

Deploy and manage your containers in the next generation container OS. Use immutable infrastructure to deploy and scale your containerized applications. Project Atomic mainly comprises Atomic Host, Team Silverblue, and various container tooling. cloud native platforms. Atomic Host provides immutable infrastructure for deploying to hundreds or thousands of servers in your private or public cloud. Available in Fedora Atomic Host, CentOS Atomic Host, and Red Hat Atomic Host editions depending on your platform and support needs. To balance the need between long-term stability and new features, we are providing different releases of Atomic Host for you to choose from. Team Silverblue provides immutable infrastructure for your desktop experience.

Appvia Wayfinder is a trusted infrastructure operations platform designed to increase developer velocity. It enables platform teams to operate at scale by providing self-service guardrails for standardisation. Supporting integration with AWS, Azure, and more, Wayfinder offers self-service provisioning of environments and cloud resources using a catalogue of manageable Terraform modules. Its built-in principles of isolation and least privilege ensure secure default configurations, while granting fine-grained control to platform teams over underlying CRDs. It offers centralized control and visibility over clusters, apps, and cloud resources across various clouds. Additionally, Wayfinder's cloud automation capability supports safe deployments and upgrades through the use of ephemeral clusters and namespaces. Choose Appvia Wayfinder for streamlined, secure, and efficient infrastructure management.

OneCloud had its roots in the vibrant city of Rotterdam, known for its innovation, where developers faced all sorts of hurdles when building web applications in traditional hosting and cloud setups. Our journey started with a strong desire to change and improve the way cloud development works. At OneCloud, our mission is to empower developers with a state-of-the-art Kubernetes cloud platform, giving them the tools to regain control over their web application development. Our goal is to eliminate obstacles and make the process easier, so developers can concentrate on innovation and creativity. With OneCloud, you're not just getting a cloud platform; you're gaining a reliable tech partner and an extended team you can truly rely on. We welcome you to join us as we reshape the cloud development scene, harnessing the potential of the Cloud and revolutionizing the process of building and deploying web applications.

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.

k0s is the simple, solid & certified Kubernetes distribution that works on any infrastructure: bare-metal, on-premises, edge, IoT, public & private clouds. It's 100% open source & free. Zero Friction - k0s drastically reduces the complexity of installing and running a fully conformant Kubernetes distribution. New kube clusters can be bootstrapped in minutes. Developer friction is reduced to zero, allowing anyone, with no special skills or expertise in Kubernetes to easily get started. Zero Deps - k0s is distributed as a single binary with zero host OS dependencies besides the host OS kernel. It works with any operating system without additional software packages or configuration. Any security vulnerabilities or performance issues can be fixed directly in the k0s distribution. Zero Cost - k0s is completely free for personal or commercial use, and it always will be. The source code is available on GitHub under Apache 2 license.

The all-in-one networking device promising connectivity, security and flexibility at a fraction of the cost. Launch a VNS3 image through a public cloud marketplace. We are available in AWS, Azure and GCP. Via private image sharing. We will gladly share a private image with your account. We can also provide a VDI/VDK file which you can import into your environment of choice, be that VMWare or a locked down cloud environment. The Cohesive Networks support team will provide you a license in minutes. Upgrading your VNS3 controller's license can be done via the VNS3 console or the API. The VNS3 Overlay Network is an optional feature that provides end-to-end encryption, increased performance (in most cloud environments), and IP address mobility across regions and cloud providers. An overlay network is layered over the native networking layers, but can be independent from all underlying hardware and software. The overlay is dependent on the native networking layers.

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.

Conductor is a workflow orchestration engine that runs in the cloud. Conductor was built to help Netflix orchestrate microservices-based process flows with the following features. A distributed server ecosystem, which stores workflow state information efficiently. Allow creation of process/business flows in which each individual task can be implemented by the same/different microservices. A DAG (Directed Acyclic Graph) based workflow definition. Workflow definitions are decoupled from the service implementations. Provide visibility and traceability to these process flows. Simple interface to connect workers, which execute the tasks in workflows. Workers are language agnostic, allowing each microservice to be written in the language most suited for the service. Full operational control over workflows with the ability to pause, resume, restart, retry and terminate. Allow greater reuse of existing microservices providing an easier path for onboarding.

Deploy applications quickly and confidently with Critical Stack, the open source container orchestration tool from Capital One. Critical Stack enforces the highest level of governance and security standards, enabling teams to efficiently scale containerized applications in the strictest environments. View your entire environment and deploy new services with a few simple clicks. Spend more time on development and decision making and less on maintenance. Dynamically adjust shared resources of your environment efficiently. Enforce container networking policies and controls that your teams can configure. Speed up development cycles and deployment of containerized applications. Guarantee containerized applications run according to your specifications. Deploy containerized applications confidently. Critical Stack enables application verification and powerful orchestration capabilities for your important workloads.

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.

Test Kitchen provides a test harness to execute infrastructure code on one or more platforms in isolation. A driver plugin architecture is used to run code on various cloud providers and virtualization technologies such as Vagrant, Amazon EC2, Microsoft Azure, Google Compute Engine, Docker, and more. Many testing frameworks are supported out of the box including Chef InSpec, Serverspec, and Bats For Chef Infra workflows, cookbook dependency resolution via Berkshelf or Policyfiles is supported or include a cookbooks/ directory and Kitchen will know what to do. Test Kitchen is used by all Chef-managed community cookbooks and is the integration testing tool of choice for cookbooks.

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.

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.

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.