Alternatives to PredictKube

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

Ambassador Edge Stack, a Kubernetes-native API Gateway, provides simplicity, security, and scalability for some of the largest Kubernetes infrastructures in the world. Ambassador Edge Stack makes it easy to secure microservices with a complete set of security functionality including automatic TLS, authentication and rate limiting. WAF integration is also available. Fine-grained access control is also possible. The API Gateway is a Kubernetes-based ingress controller that supports a wide range of protocols, including gRPC, gRPC Web, TLS termination, and traffic management controls to ensure resource availability.

Portainer Business makes managing containers easy. It is designed to be deployed from the data centre to the edge and works with Docker, Swarm and Kubernetes. It is trusted by more than 500K users. With its super-simple GUI and its comprehensive Kube-compatible API, Portainer Business makes it easy for anyone to deploy and manage container-based applications, triage container-related issues, set up automate Git-based workflows and build CaaS environments that end users love to use. Portainer Business works with all K8s distros and can be deployed on prem and/or in the cloud. It is designed to be used in team environments where there are multiple users and multiple clusters. The product incorporates a range of security features - including RBAC, OAuth integration and logging, which makes it suitable for use in large, complex production environments. For platform managers responsible for delivering a self-service CaaS environment, Portainer includes a suite of features that help control what users can / can't do and significantly reduces the risks associated with running containers in prod. Portainer Business is fully supported and includes a comprehensive onboarding experience that ensures you get up and running.

Amazon Elastic Kubernetes Service is a fully managed Kubernetes services. EKS is trusted by customers such as Intel, Snap and Intuit. It also supports GoDaddy and Autodesk's mission-critical applications. EKS is reliable, secure, and scaleable. EKS is the best place for Kubernetes because of several reasons. AWS Fargate is serverless compute for containers that you can use to run your EKS clusters. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources and improves security by application isolation by design. EKS is also integrated with AWS Identity and Access Management, AWS CloudWatch, Auto Scaling Groups and AWS Identity and Access Management, IAM, and Amazon Virtual Private Cloud (VPC), allowing you to seamlessly monitor, scale, and load balance your applications.

You can use your favorite debugging software to locally troubleshoot your Kubernetes services. Telepresence, an open-source tool, allows you to run one service locally and connect it to a remote Kubernetes cluster. Telepresence was initially developed by Ambassador Labs, which creates open-source development tools for Kubernetes such as Ambassador and Forge. We welcome all contributions from the community. You can help us by submitting an issue, pull request or reporting a bug. Join our active Slack group to ask questions or inquire about paid support plans. Telepresence is currently under active development. Register to receive updates and announcements. You can quickly debug locally without waiting for a container to be built/push/deployed. Ability to use their favorite local tools such as debugger, IDE, etc. Ability to run large-scale programs that aren't possible locally.

Advanced apps can be run on a managed Kubernetes service that is secured and managed. GKE is an enterprise-grade platform that allows containerized applications to run, including stateful and non-stateful, Linux and Windows, AI and ML and complex web apps. It also supports APIs and backend services. You can leverage industry-first features such as four-way auto scaling and no stress management. Optimize GPU/TPU provisioning, make use of integrated developer tools, and get multicluster support from SREs. Single-click clusters allow you to quickly get started. You can leverage a high-availability control plan that includes multi-zonal clusters and regional clusters. Reduce operational overhead by using auto-repair, automatic-upgrade, or release channels. Secure by default, with vulnerability scanning of container images as well as data encryption. Integrated Cloud Monitoring with infrastructure, application and Kubernetes specific views. You can speed up app development without compromising security.

Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within 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 for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.

Kubernetes is the platform for big ideas. The leading enterprise container platform, hybrid cloud, empowers developers to innovate faster and ship more products. Red Hat OpenShift automates installation, upgrades, lifecycle management, and lifecycle management for the entire container stack, including Kubernetes, cluster services, and applications. It can be used on any cloud. Red Hat OpenShift allows teams to build with speed, agility and confidence. You can code in production mode wherever you choose to build. Do the important work. Red Hat OpenShift focuses on security at all levels of the container stack as well as throughout the application lifecycle. It includes enterprise support from one the most prominent Kubernetes contributors as well as open source software companies.

Kubernetes (K8s), an open-source software that automates deployment, scaling and management of containerized apps, is available as an open-source project. It organizes containers that make up an app into logical units, which makes it easy to manage and discover. Kubernetes is based on 15 years of Google's experience in running production workloads. It also incorporates best-of-breed practices and ideas from the community. Kubernetes is built on the same principles that allow Google to run billions upon billions of containers per week. It can scale without increasing your operations team. Kubernetes flexibility allows you to deliver applications consistently and efficiently, no matter how complex they are, whether you're testing locally or working in a global enterprise. Kubernetes is an open-source project that allows you to use hybrid, on-premises, and public cloud infrastructures. This allows you to move workloads where they are most important.

JAAS offers Juju as a service. JAAS allows you to quickly design and deploy cloud-based applications. With a fully managed Juju infrastructure, you can focus on your software and solutions. Canonical, in partnership with Google, delivers a 'pure' K8s experience. It has been tested across many clouds and is integrated with modern metrics. The Charmed Kubernetes can be used in full production. Start using Kubernetes today. JAAS will deploy your workload to the cloud of your choice. To allow JAAS access to virtual machines and create them for you, you must provide your cloud credentials. We recommend that users create a new set for JAAS using the public cloud's IAM tool. You can find hundreds of cloud-oriented applications, such as Kubernetes and Apache Hadoop, Big Data solutions, OpenStack, and many others in the store as charms or bundles. They are constantly updated and added to the store.

Azure Kubernetes Services (AKS), a fully managed service that manages containerized applications, makes it easy to deploy and manage them. It provides serverless Kubernetes and integrated continuous integration/continuous delivery (CI/CD), as well as enterprise-grade security, governance, and governance. You can quickly build, deliver, scale and scale applications using confidence by bringing together your operations and development teams. You can easily provision additional capacity by using elastic provisioning without having to manage the infrastructure. KEDA allows for event-driven autoscaling. Azure Dev Spaces allows for faster end-to-end development, including integration with Visual Studio Code Kubernetes tools and Azure DevOps. Azure Policy allows for advanced identity and access management, as well as dynamic rules enforcement across multiple clusters. More regions are available than any other cloud provider.

It is the only Kubernetes distribution which is simple, solid, and certified. It works on any infrastructure, including bare metal, on-premises or private clouds, edge, IoT or public clouds. It's free and open source. Zero Friction – k0s dramatically reduces the complexity involved in installing and running Kubernetes. Bootstrapping new kube clusters takes only minutes. Developer friction is zero, making it easy for anyone to get started, even if they don't have any special skills. Zero Deps: k0s comes as a single binary that has no host OS dependencies other than the kernel of the host OS. It works with any OS without additional software packages. Any security vulnerabilities or performance problems can be fixed directly within the k0s Distribution. Zero Cost - K0s is free for commercial or personal use and will always be. The source code can be found on GitHub, under Apache 2 license.

To speed up app development, organizations are using containerized environments. These apps still require services such as routing and SSL offload. F5 Container Ingress services makes it easy for you to deliver advanced services to your container deployments. This allows Ingress to control HTTP routing, load balancencing, application delivery performance, and security services. Container Ingress Services integrates BIG-IP solutions into native container environments such as Kubernetes and PaaS container orchestration management systems such as RedHat OpenShift. You can scale apps to meet container workloads. Security services can be enabled to protect container data. Container Ingress Services allows self-service app performance, security services within your orchestration, and integrates BIG-IP platforms with the container environment.

You can accelerate your development by using a storage platform that integrates with Kubernetes. While you focus on running your application we ensure that you have the persistent volumes you need to give you the stability and scale you require. Integrating stateful storage into Kubernetes will simplify your app modernization process and increase efficiency. You can run your database or any other persistent workload in a Kubernetes-based environment without worrying about managing the storage layer. Ondat allows you to provide a consistent storage layer across all platforms. We provide persistent volumes that allow you to run your own databases, without having to pay for expensive hosted options. Kubernetes data layer management is yours to take back. Kubernetes-native storage that supports dynamic provisioning. It works exactly as it should. API-driven, tight integration to your containerized applications.

Kubernetes can be run in production using the #1 Kubernetes platform. It offers persistent storage, backup, data security, capacity management, and DR. You can easily backup, restore, and migrate Kubernetes applications to any cloud or data centre. Portworx Enterprise Storage Platform provides end-to-end storage, data management, and security for all Kubernetes projects. This includes container-based CaaS and DBaaS as well as SaaS and Disaster Recovery. Container-granular storage, disaster recovery and data security will all be available to your apps. Multi-cloud migrations are also possible. You can easily solve enterprise requirements for Kubernetes data service. Your users can easily access a cloud-like DbaaS without losing control. Operational complexity is eliminated by scaling the backend data services that power your SaaS app. With a single command, add DR to any Kubernetes application. All your Kubernetes apps can be easily backed up and restored.

Amazon EC2 Auto Scaling allows you to maintain application availability by adding or removing EC2 instances automatically using scaling policies you define. Dynamic or predictive policies allow you to add or remove EC2 instances capacity in response to real-time or established demand patterns. The fleet management features in Amazon EC2 Auto Scaling maintain the health and availability your fleet. Automating DevOps is essential, and getting your fleets to automatically launch, provision software and self-heal is a major challenge. Amazon EC2 Auto Scaling offers essential features to automate each of these steps in the instance lifecycle. Use machine learning to predict the number of EC2 instance to be used to anticipate traffic changes.

Kubernetes-as-a-Service for multi-cloud, on-premises, and edge. The simplicity of public cloud with the control and flexibility of DIY. 100% Certified Kubernetes Administrators. Overcome talent scarcity. Get 99.9% uptime, auto-upgrading, and scaling support by world-class Kubernetes administrators who are 100% certified. Future-proof your cloud-native journey by integrating multi-cloud, data center and edge integrations with auto-provisioning and out-of-the box edge. With a rich collection of pre-built cloud services and infrastructure plug-ins, you can quickly deploy k8s clusters. Cloud Architects can help you with design, integrations, and onboarding. PMK is a SaaS managed services that integrates with your infrastructure to instantly create Kubernetes Clusters. Clusters are integrated with monitoring and log aggregation so that you can concentrate on building apps.

Manage, control, secure, and manage the apps, data, and IT that run your business from edge to cloud. HPE Ezmeral accelerates digital transformation initiatives by shifting resources and time from IT operations to innovation. Modernize your apps. Simplify your operations. You can harness data to transform insights into impact. Kubernetes can be deployed at scale in your data center or on the edge. It integrates persistent data storage to allow app modernization on baremetal or VMs. This will accelerate time-to-value. Operationalizing the entire process to build data pipelines will allow you to harness data faster and gain insights. DevOps agility is key to machine learning's lifecycle. This will enable you to deliver a unified data network. Automation and advanced artificial intelligence can increase efficiency and agility in IT Ops. Provide security and control to reduce risk and lower costs. The HPE Ezmeral Container Platform is an enterprise-grade platform that deploys Kubernetes at large scale for a wide variety of uses.

Fully serverless platform Cloud Build scales up or down according to load. There is no need to pre-provision servers and pay in advance for additional capacity. Only pay for what you use. Flexibility Enterprises can easily integrate their legacy or home-grown tools into their build process with pre-created extensions to third-party apps and custom build steps. Security and compliance Vulnerability scanning can help you protect your software supply chain from security threats. DevSecOps policies can be used to block the deployment of vulnerable images.

Manage, optimize, and optimize HPC and large compute clusters at any scale. You can deploy full clusters and other resources including schedulers, compute VMs (storage, networking, and caching), and other resources such as cache, network, networking, and storage. Advanced policy and governance features allow you to customize and optimize clusters, including cost controls, Active Directory integration and monitoring. You can continue using your existing job scheduler and other applications. Administrators have complete control over who can run jobs and where they are located. You can take advantage of autoscaling and battle-tested references architectures for a wide variety of HPC workloads. CycleCloud supports every job scheduler and software stack, from proprietary in-house to open source, third-party, or commercial. Your cluster should adapt to your changing resource requirements. Scheduler-aware autoscaling allows you to match your resources to your workload.

Enterprise apps will have better operators thanks to a full application graph, declarative integration for legacy estate and Kubernetes, and a full app graph. Juju operator integration allows us keep each operator as simple and consistent as possible, then we compose them to create rich topologies for complex scenarios that support complex scenarios with less YAML. Large-scale operations code can also be governed by the UNIX philosophy of "doing one thing right". The benefits of clarity as well as reuse are the same. It is important to be small. Juju allows you the option to use the same operator pattern across your entire estate, even legacy apps. Model-driven operations significantly reduce maintenance and operation costs for traditional workloads, without the need to re-platform to K8s. Once mastered, legacy apps can be made multi-cloud-ready. The Juju Operator Lifecycle Manager, (OLM), uniquely supports both machine-based and container-based apps with seamless integration.

Apache Helix is a generic cluster management framework that automates the management of distributed, replicated, and partitioned resources hosted on a cluster. Helix automates the reassignment and reconfiguration of resources in case of node failure, recovery, cluster expansion, or reconfiguration. Cluster management is the first step to understanding Helix. For the following reasons, a distributed system is typically run on multiple nodes: Scalability, fault tolerance, load balancencing, and scalability. Each node is responsible for one or more of the cluster's primary functions, such as serving and storing data, producing and consuming data streams, etc. Helix is the global brain of your system once it has been configured. It is designed to make decisions that are not possible in isolation. Although it is possible to integrate these functions into a distributed system, it can complicate the code.

Self-service platform for developers to create apps, databases and jobs. Scale up from one workload to hundreds of workloads on compute or GPUs. GitOps, self-service workflows and templates, pipelines and templates that are highly configurable, will accelerate every step, from push to production. With observability tools, backups and restores, rollbacks, and a rollback feature, you can deploy preview, staging and production environments securely. Northflank integrates seamlessly with your preferred tools and can accommodate any technology stack. You can deploy on Northflank’s secure infrastructure, or on your own account. Either way, you will get the same developer experience and have total control over your data, deployment regions, security and cloud expenses. Northflank uses Kubernetes to deliver the best of cloud native without the overhead. Northflank offers a cloud deployment option for maximum simplicity. You can also connect your GKE or EKS to Northflank to get a managed platform in minutes.

The perfect public cloud is available to handle all your workloads! SaaS solutions are cost-effective, eCommerce applications work well even under peak load, and CPU-intensive rendering tasks can be completed efficiently. Data archives and backups are redundantly stored. The Compute Engine is the perfect choice for you, whether you want to mix on-site applications with public clouds into a hybrid cloud or need a real alternative to multi-cloud strategies. It has transparent prices, maximum privacy in certified data centers and unbeatable backbone connections, a simple user interface thanks to the Data Center Designer, Cloud REST API and reliable vertical scaling. We protect all your business-critical data. It is stored in dual redundancy in our data centers in Europe and the United States. The Compute Engine increases flexibility by allowing your company to respond quickly to market changes and making low investments.

Marathon is a production-grade container orchestration platform that Mesosphere's Datacenter Operating System(DC/OS) as well as Apache Mesos uses. High availability. Marathon runs as an active/passive cluster, with leader election for 100 percent uptime. Multiple container runtimes. Marathon provides first-class support for Mesos containers (using Docker) and Mesos containers using cgroups. Stateful apps. Marathon can bind persistent storage volumes directly to your application. You can run databases such as Postgres and MySQL, and have storage accounted by Mesos. Beautiful and powerful UI. Service Discovery & Load Balancing. Several methods available. Health checks. Use HTTP or TCP checks to assess the health of your application. Subscribe to Events To receive notifications, you will need to provide an HTTP endpoint. This is used to integrate with external load balancers. Metrics. You can query them at /metrics using JSON format. Push them to DataDog, StatsD, and Graphite. Or, you can scrape them with Prometheus.

Instead of focusing on building applications and business logic you can let Azure solve hard distributed system problems like reliability, scalability and management. Service Fabric is an open-source project that powers core Azure infrastructure and other Microsoft services like Intune, Skype for Business, Intune and Azure Event Hubs. It also powers Azure Data Factory, Azure Cosmos DB and Azure SQL Database. Dynamics 365 and Cortana are all powered by Service Fabric. Azure Service Fabric is designed to deliver high-availability and durable services at cloud scale. It automatically understands the infrastructure and resource requirements of applications. This allows for automatic scaling, rolling upgrades, and self healing from faults that occur. Without the need to write additional code to address issues such as reliability, scalability or management, you can focus on adding business value to your application.

UbiOps provides an AI infrastructure platform to help teams run AI & ML workloads quickly as reliable and secure Microservices without disrupting their existing workflows. UbiOps can be integrated seamlessly into your data-science workbench in minutes. This will save you time and money by avoiding the hassle of setting up expensive cloud infrastructure. You can use UbiOps as a data science team in a large company or a start-up to launch an AI product. UbiOps is a reliable backbone to any AI or ML services. Scale AI workloads dynamically based on usage, without paying for idle times. Instantly access powerful GPUs for model training and inference, enhanced by serverless, multicloud workload distribution.

With over 14,000 clusters of managed production, we are leading the charge. This is just the beginning. Operational visibility into Kubernetes-based services, platforms, and applications. Advanced features to monitor, troubleshoot, create alerts, and build custom dashboards. Cluster level, 30-day retention and natural language processing are all available. High security environment for production workloads. Integrate with advanced IBM services such as AI, Watson and Blockchain to extend your app's capabilities. This is done through an automated, standardized, and secure architecture. This includes Kubernetes secrets that can be managed by customers through IBM Cloud™. Key Protect

Container Engine for Kubernetes is an Oracle-managed container orchestration platform that can help you build modern cloud native apps in a shorter time and at a lower cost. Oracle Cloud Infrastructure offers Container Engine for Kubernetes free of charge, running on more efficient and lower-cost compute shapes than most other vendors. Open-source Kubernetes can be used by DevOps engineers for application workload portability, and to simplify operations with automatic updates. With a single click, deploy Kubernetes clusters, including the underlying virtual clouds networks, internet gateways and NAT gateways. Automate Kubernetes operations using web-based REST API or CLI. This includes cluster creation, scaling, operations, and maintenance. Cluster management is free with Oracle Container Engine for Kubernetes. You can easily and quickly upgrade container clusters with zero downtime to keep them current with the latest stable version Kubernetes.

Microservices, containers, and Kubernetes allow apps to run anywhere and everywhere. VMware Tanzu allows you to make the most out of cloud native patterns, automate containerized workload delivery, and proactively manage production apps. It's all about allowing developers to do what they love: create great apps. Kubernetes don't need to be complicated. VMware Tanzu makes it easy to prepare your infrastructure for modern apps by using consistent, conformant Kubernetes wherever you go. Developers can access a self-service, compliant environment that makes it easy to get to production. Centrally manage, govern, and monitor all apps and clusters across clouds. It's that easy.

D2iQ Enterprise Kubernetes Platform (DKP) Enterprise Kubernetes Platform: Run Kubernetes Workloads at Scale D2iQ Kubernetes Platform (DKP): Adopt, expand, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Solve the Toughest Enterprise Kubernetes Challenges 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 * Simplify and Accelerate Kubernetes Adoption * Ensure Consistency, Security, and Performance * Expand Kubernetes Across Distributed Environments * Ensure Fast, Simple Deployment of ML and Fast Data Pipeline * Leverage Cloud Native Expertise

JFrog Pipelines allows software teams to ship updates quicker by automating DevOps processes in an efficient and secure manner across all their tools and teams. It automates every step of production, including continuous integration (CI), continuous deliveries (CD), infrastructure, and more. Pipelines is natively integrated with the JFrog Platform and is available with both cloud (software-as-a-service) and on-prem subscriptions.

Data-driven computational pipelines. Nextflow allows for reproducible and scalable scientific workflows by using software containers. It allows adaptation of scripts written in most common scripting languages. Fluent DSL makes it easy to implement and deploy complex reactive and parallel workflows on clusters and clouds. Nextflow was built on the belief that Linux is the lingua Franca of data science. Nextflow makes it easier to create a computational pipeline that can be used to combine many tasks. You can reuse existing scripts and tools. Additionally, you don't have to learn a new language to use Nextflow. Nextflow supports Docker, Singularity and other containers technology. This, together with integration of the GitHub Code-sharing Platform, allows you write self-contained pipes, manage versions, reproduce any configuration quickly, and allow you to integrate the GitHub code-sharing portal. Nextflow acts as an abstraction layer between the logic of your pipeline and its execution layer.

Use the next-generation container OS to deploy and manage your containers. You can deploy and scale containerized applications using immutable infrastructure. Project Atomic is primarily Atomic Host, Team Silverblue and other container tooling. cloud native platforms. Atomic Host is an immutable infrastructure that allows you to deploy to hundreds of thousands or more servers in your private cloud. Available in Fedora Atomic Host and CentOS Atomic Host editions, depending on your platform requirements and support needs. We offer different versions of Atomic Host to meet your needs for long-term stability and new features. Team Silverblue provides immutable infrastructure for your desktop experience.

Apache ODE (Orchestration Director Engine), software executes business processes that are written in accordance with the WS-BPEL standard. It can communicate with web services, including sending and receiving messages, data manipulation, and error recovery, as defined by your process definition. It can execute both long- and short-lived process executions to manage all services in your application. WS-BPEL (Business Process Execution Language), is an XML-based language that allows you to create business processes. It defines basic control structures, such as loops or conditions, as well as elements that invoke web services and get messages from them. It uses WSDL to communicate web service interfaces. You can manipulate message structures by assigning parts or wholes to variables that can then be used to send additional messages. Support for both the legacy BPEL4WS 1.1 vendor specification and the WS-BPEL 2.0 OASIS standards side-by-side.

FinetuneFast allows you to fine-tune AI models, deploy them quickly and start making money online. Here are some of the features that make FinetuneFast unique: - Fine tune your ML models within days, not weeks - The ultimate ML boilerplate, including text-to-images, LLMs and more - Build your AI app to start earning online quickly - Pre-configured scripts for efficient training of models - Efficient data load pipelines for streamlined processing Hyperparameter optimization tools to improve model performance - Multi-GPU Support out of the Box for enhanced processing power - No-Code AI Model fine-tuning for simple customization - Model deployment with one-click for quick and hassle free deployment - Auto-scaling Infrastructure for seamless scaling of your models as they grow - API endpoint creation for easy integration with other system - Monitoring and logging for real-time performance monitoring

Kubernetes is a highly scalable platform for model inference that uses standards-based models. Trusted AI. KServe, a Kubernetes standard model inference platform, is designed for highly scalable applications. Provides a standardized, performant inference protocol that works across all ML frameworks. Modern serverless inference workloads supported by autoscaling, including a scale up to zero on GPU. High scalability, density packing, intelligent routing with ModelMesh. Production ML serving is simple and pluggable. Pre/post-processing, monitoring and explainability are all possible. Advanced deployments using the canary rollout, experiments and ensembles as well as transformers. ModelMesh was designed for high-scale, high density, and often-changing model use cases. ModelMesh intelligently loads, unloads and transfers AI models to and fro memory. This allows for a smart trade-off between user responsiveness and computational footprint.

Google Cloud Pub/Sub: Delivery of messages in large quantities with push and pull modes. Auto-scaling, auto-provisioning, support from zero to hundreds GB/second Independent quota and billing are available for subscribers and publishers. Multi-region systems can be simplified by global message routing High availability made easy: Ensure reliable delivery at all scales with synchronous, cross-zone message replication. Auto-everything, no-planning Auto-scaling, auto-provisioning without partitions eliminates the need for planning and ensures that workloads are ready for production from day one. Advanced features built in: Filtering, dead letter delivery, and exponential backoff all help to simplify your applications

Alibaba Cloud offers Container Service for Kubernetes, which is a fully managed service. ACK integrates with services such as virtualization and storage to provide a highly scalable Kubernetes environment for containerized applications. Alibaba Cloud is a Kubernetes Certified Service Provider, (KCSP), and ACK has been certified by Certified Kubernetes Conformance Program. This ensures consistent Kubernetes experience and workload portability. Kubernetes Certified Services Provider (KCSP), and qualified by Certified Kubernetes conformance Program. Kubernetes consistency and workload portability. Deep and rich cloud native capabilities for enterprise-class enterprises. Provides fine-grained access control and application security. Allows you quickly to create Kubernetes Clusters. Container-based management of applications during the entire application lifecycle.

Mirantis Kubernetes Engine (formerly Docker Enterprise) gives you the power to build, run, and scale cloud native applications—the way that works for you. Increase developer efficiency and release frequency while reducing cost. Deploy Kubernetes and Swarm clusters out of the box and manage them via API, CLI, or web interface. Kubernetes, Swarm, or both Different apps—and different teams—have different container orchestration needs. Use Kubernetes, Swarm, or both depending on your specific requirements. Simplified cluster management Get up and running right out of the box—then manage clusters easily and apply updates with zero downtime using a simple web UI, CLI, or API. Integrated role-based access control (RBAC) Fine-grained security access control across your platform ensures effective separation of duties, and helps drive a security strategy built on the principle of least privilege. Identity management Easily integrate with your existing identity management solution and enable two-factor authentication to provide peace of mind that only authorized users are accessing your platform. Mirantis Kubernetes Engine works with Mirantis Container Runtime and Mirantis Secure Registry to provide security compliance.

KubeGrid can automatically deploy, monitor, optimize, and optimize thousands of Kubernetes clusters. KubeGrid automates Kubernetes lifecycle management in both cloud and on-prem environments. This allows developers to deploy, manage and update large clusters quickly and easily. KubeGrid can be described as a Platform as Code. This means that you can define all of your Kubernetes requirements as coding, from your cloud infrastructure to cluster specs and autoscaling policies. KubeGrid will then deploy and manage everything. Most infrastructure-as-code tools help you provision infrastructure, but stop there. KubeGrid does more than that. It allows developers to automate Day 2 operations such as monitoring infrastructure and failing over unhealthy nodes. Kubernetes makes it easy to provision pods in an automated manner.

mogenius is a platform that combines visibility, automation, and observability in one place for Kubernetes management. Connect and visualize Kubernetes workloads and clusters. Visibility for the whole team. Identify misconfigurations in your workloads. Take action within the mogenius platform. Automate K8s operations using service catalogs, developer-self-service and ephemeral environment. Leverage developer self-service to simplify deployments for your developers. Standardized and automated workflows can optimize resource allocation and prevent configuration drift. Service catalogs eliminate duplicate work and encourage reuse. Get complete visibility into your Kubernetes configuration. Deploy an operator that is cloud-agnostic to get a complete view of your clusters and workloads. In a few clicks, you can provide developers with ephemeral and local testing environments that mimic your production setup.

harpoon allows you to deploy any software within seconds using a simple drag-and-drop method. No code is required to deploy production software using our visual Kubernetes tool. Harpoon offers all the features needed to deploy and configure your software using Kubernetes, the industry's leading container orchestrator. All without writing any code. You can easily deploy and configure Kubernetes and autoscale software in the cloud without writing any code. Search and find any commercial or open-source piece of software anywhere on the planet, and deploy it in the cloud instantly with just one click. Harpoon will run scripts to secure your cloud account before running any applications or service. Connect harpoon anywhere to your source code repository and set up an automated deployment pipeline.

You can run containers without having to manage servers Azure Container Instances allows you to focus on the design and building of your applications, rather than managing the infrastructure. Containers on demand increase agility With one command, deploy containers to the cloud with unrivalled speed and simplicity. ACI can be used to provision additional compute for your most demanding workloads whenever you require. ACI can be used to elastically burst your Azure Kubernetes Service cluster (AKS) when traffic spikes. Secure applications with hypervisor isolation You can use virtual machines to secure your container workloads while still using lightweight containers. ACI provides hypervisor isolation to each container group so containers can run in isolation and not share a kernel.

OneCloud's roots were in Rotterdam, a city known for its innovation and where developers faced many challenges when building web apps in traditional hosting or cloud setups. Our journey began with a strong wish to improve cloud development. Our mission at OneCloud is to empower developers by providing them with a Kubernetes-based cloud platform that is state-of-the art, giving them the ability to regain control of their web application development. Our goal is eliminate obstacles and simplify the process so that developers can focus on innovation and creativity. OneCloud is more than just a cloud platform. It's a trusted tech partner, and an extended team that you can rely on. We invite you to join us in reshaping the cloud development scene. We will harness the potential of the Cloud, and revolutionize the process of developing and deploying web apps.

There is no need to compromise between the convenience and power of infrastructure as a code. Kubestack lets you design your Kubernetes platform using an intuitive, graphical user interface. Export your custom stack to Terraform code to ensure reliable provisioning and long-term sustainability. Platforms built with Kubestack Cloud can be exported to a Terraform root Module, which is based on Kubestack framework. Framework modules are all open-source, which reduces the long-term maintenance effort as well as allowing for easy access to future improvements. To efficiently manage changes with your team, adapt the tried-and-trued pull-request and peer review based workflow. You can reduce the amount of bespoke infrastructure code that you need to maintain and save time in the long-term.

IBM Cloud Pak®, for Applications allows you to modernize existing apps, embed additional security, or develop new apps that enable digital initiatives. It provides cloud-native development solutions that deliver value quickly and flexible licensing that can be tailored for your specific needs. You can run your applications on public clouds, on premises, or on a private one. It is up to you to decide which location works best for your business. We'll help you sync them to Red Hat®, OpenShift®, on IBM Cloud®, which is a unified Kubernetes platform based on open-source standards. No matter where they are located, we'll support them. You don't have to build everything from scratch when you move to the cloud. Modernizing existing applications can increase their flexibility, scalability, and adaptability.

Docker 4.0 and higher include swarm mode, which allows you to manage a cluster of Docker Engines. The Docker CLI allows you to create a cluster, deploy applications to it, and manage its behavior. Cluster management integrated with Docker Engine. Use the Docker Engine CLI for cluster management. To create or manage a cluster, you don't need any additional orchestration software. Decentralized design: The Docker Engine does not handle differentiation between node roles at deployment. Instead, it handles any specialization at runtime. The Docker Engine can be used to deploy both managers and workers. This allows you to create a whole swarm using a single disk image. Declarative service model: Docker Engine uses this declarative approach to allow you to define the desired state for the various services within your application stack.

The Nebula container orchestrator is designed to allow developers and operators to treat IoT devices as distributed Dockerized applications. It acts as a Docker orchestrator for IoT device as well as distributed services such CDN or edge computing. It is open-source and free. Nebula is an open-source project for Docker orchestration. It's designed to manage large clusters at scale by scaling each component of the project as needed. The project's goal is to be a Docker orchestrator for IoT device as well as distributed services like CDN or edge computing. Nebula can simultaneously update tens of thousands IoT devices around the world with one API call. This is in an effort for developers and ops to treat IoT devices like distributed Dockerized applications.

Your applications, any cloud, any container, anywhere. Apache Brooklyn is software to manage cloud applications. It can be used to: Blueprints of your application are stored in version control. Components are configured and integrated across multiple machines automatically. You can also use it to monitor key application metrics, scale to meet demand, restart and replace failing components. You can view and modify the web console, or automate using REST API.