Alternatives to Xosphere

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.

Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.

StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark. StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time.

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 is built on an event-driven automation engine that detects and responds intelligently to any system. This makes it a powerful solution for managing complex environments. SaltStack's new SecOps offering can detect security flaws and mis-configured systems. This powerful automation can detect and fix any issue quickly, allowing you and your team to keep your infrastructure secure, compliant, and up to date. Comply and Protect are both part of the SecOps suite. Comply scans for compliance with CIS, DISA, STIG, NIST and PCI standards. Also, scan your operating system for vulnerabilities and update it with patches and patches.

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.

AWS Auto Scaling monitors and adjusts your applications to ensure predictable, consistent performance at the lowest cost. AWS Auto Scaling makes it easy to set up application scaling for multiple resources and multiple services in minutes. It offers a simple and powerful user interface that allows you to create scaling plans for resources such as Amazon EC2 instances, Spot Fleets and Amazon ECS tasks, Amazon DynamoDB indexes and tables, and Amazon Aurora Replicas. AWS Auto Scaling simplifies scaling with recommendations that optimize performance, cost, or balance between them. You can combine Amazon EC2 Auto Scaling with AWS Auto Scaling if you already use it to dynamically scale Amazon EC2 instances. AWS Auto Scaling ensures that your applications have the right resources at all times.

Amazon Elastic Container Service (Amazon ECS), is a fully managed container orchestration and management service. ECS is used by customers such as Duolingo and Samsung, GE and Cook Pad to run their most sensitive and critical mission-critical applications. It offers security, reliability and scalability. ECS is a great way to run containers for a variety of reasons. AWS Fargate is serverless compute for containers. You can also run ECS clusters with Fargate. 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. ECS is also used extensively in Amazon to power services like Amazon SageMaker and AWS Batch. It is also used by Amazon.com's recommendation engines. ECS is extensively tested for reliability, security, and availability.

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.

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.

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.

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.

CAST AI significantly reduces your compute costs with automated cost management and optimization. Within minutes, you can quickly optimize your GKE clusters thanks to real-time autoscaling up and down, rightsizing, spot instance automation, selection of most cost-efficient instances, and more. What you see is what you get – you can find out what your savings will look like with the Savings Report available in the free plan with K8s cost monitoring. Enabling the automation will deliver reported savings to you within minutes and keep the cluster optimized. The platform understands what your application needs at any given time and uses that to implement real-time changes for best cost and performance. It isn’t just a recommendation engine. CAST AI uses automation to reduce the operational costs of cloud services and enables you to focus on building great products instead of worrying about the cloud infrastructure. Companies that use CAST AI benefit from higher profit margins without any additional work thanks to the efficient use of engineering resources and greater control of cloud environments. As a direct result of optimization, CAST AI clients save an average of 63% on their Kubernetes cloud bills.

Auto Scaling allows you to automatically adjust computing resources according to your user requests. Auto Scaling automatically adds new ECS instances when there is a greater demand or removes existing instances when there are fewer user requests.

Aptible automatically implements security controls that you need to comply with regulatory requirements and pass customer audits. Out-of-the box compliance. Aptible Deploy allows you to automatically meet and maintain customer audit requirements and regulatory compliance. Deploy includes everything you need to meet encryption standards so that your traffic, certificates, and databases are protected. Every 24 hours, automatic backups are made of your data. You can easily trigger a manual backup anytime, and then restore it in just a few clicks. Logs are created and backed-up for every deploy, config modification, database tunnel, console operation, as well as session. Aptible monitors your EC2 instances for potential intrusions such as rootkits, file integrity problems, unauthorized SSH access, privilege escalation, file integrity issues and file integrity issues. Aptible Security Team is available 24/7 to assist you in resolving any issues that may arise.

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.

Conductor is a cloud-based workflow orchestration engine. Conductor was designed to help Netflix orchestrate microservices-based processes flows. It includes the following features. A distributed server ecosystem that stores workflow state information efficiently. Allows creation of business flows that allow each task to be executed by different microservices. A DAG (Directed Acyclic graph) is a workflow definition. Workflow definitions can be separated from service implementations. These process flows can be traceable and visible. A simple interface connects workers to execute tasks in workflows. Workers can be written in any language that is most appropriate for the service, and workers are language-agnostic. You have full operational control over workflows, including the ability to pause and resume, restart, retry, terminate, and restart. Allow for greater reuse of existing microservices, making it easier to onboard.

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.

Amazon EC2 Spot instances allow you to take advantage of unused EC2 capacity within the AWS cloud. Spot Instances can be purchased at up to 90% off the On-Demand price. Spot Instances can be used for many stateless, fault-tolerant or flexible applications, such as big data and containerized workloads. Spot Instances can be used to launch and maintain applications that are running on AWS services like CloudFormation (EMR, ECS), CloudFormation, Data Pipeline, Data Pipeline, CloudFormation and AWS Batch. To further optimize workload cost and performance, Spot Instances can be combined with On-Demand, Savings Plans Instances, RIs, and RIs. Spot Instances are able to offer the scale and cost savings necessary to run hyper-scale workloads due to AWS's operating scale.

Pepperdata autonomous, application-level cost optimization delivers 30-47% greater cost savings for data-intensive workloads such as Apache Spark on Amazon EMR and Amazon EKS with no application changes. Using patented algorithms, Pepperdata Capacity Optimizer autonomously optimizes CPU and memory in real time with no application code changes. Pepperdata automatically analyzes resource usage in real time, identifying where more work can be done, enabling the scheduler to add tasks to nodes with available resources and spin up new nodes only when existing nodes are fully utilized. The result: CPU and memory are autonomously and continuously optimized, without delay and without the need for recommendations to be applied, and the need for ongoing manual tuning is safely eliminated. Pepperdata pays for itself, immediately decreasing instance hours/waste, increasing Spark utilization, and freeing developers from manual tuning to focus on innovation.

FinOps on nOps We only charge for what we save. Most organizations don’t have the resources to focus on reducing cloud spend. nOps is your ML-powered FinOps team. nOps reduces cloud waste, helps you run workloads on spot instances, automatically manages reservations, and helps optimize your containers. Everything is automated and data-driven.

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.

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.

It is a simple and flexible task orchestrator that deploys and manages containers and non-containerized apps across on-prem as well as cloud environments. One 35MB binary that can be integrated into existing infrastructure. It is easy to use on-prem and in the cloud with minimal overhead. You can orchestrate any type of application, not just containers. First-class support for Docker and Windows, Java, VMs, VMs, and other technologies. Orchestration benefits can be added to existing services. Zero downtime deployments, increased resilience, higher resource utilization, as well as greater resilience can all be achieved without containerization. Multi-region, multicloud federation - single command Nomad is a single control plane that allows you to deploy applications worldwide to any region. One workflow to deploy to cloud or bare metal environments. Multi-cloud applications can be enabled with ease. Nomad seamlessly integrates with Terraform Consul and Vault for provisioning and service networking. Secrets management is also possible.

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.

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.

Manage cloud resources with ease from a single screen. Accelerate the development process and get more computing for your budget. Reserved instances do not require any upfront capital investment. You can meet the fluctuating needs of your projects with confidence. Exostellar migrates HPC applications automatically to cheaper virtual machines. This optimizes resource utilization. Utilizes state-of-the art OVMA (Optimized virtual machine array), which consists a collection of instance type that share similar characteristics including cores and memory, SSD storage, bandwidth on the network, etc. Applications are continuously and seamlessly run without interruption. Switch between different instance types without any hassle. Maintains the same addresses and network connections. Enter your current AWS computing to discover the potential savings and enhanced performance that Exostellar’s XSpot technology could deliver to your business or application.

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.

It reduces cloud costs and frees users from vendor-lock-in. Configure your hardware resources such as GPU and memory and specify whether you prefer to use spot instances. dstack provision cloud resources, fetches code and forwards ports to secure access. You can access the cloud dev environment using your desktop IDE. Configure your hardware resources (GPU, RAM, etc.). Indicate whether you would like to use spot instances or on-demand instances. dstack automatically provision cloud resources, forward ports and secure access. Pre-train your own models and fine-tune them in any cloud, easily and cost-effectively. Do you want cloud resources to be provisioned automatically based on your configurations? You can access your data and store outputs artifacts by using declarative configurations or the Python SDK.

Spot Ocean allows you to reap the benefits Kubernetes without worrying too much about infrastructure, while simultaneously gaining deep cluster visibility. This can dramatically reduce costs. The key question is how can containers be used without the operational overhead of managing underlying VMs, while still maximizing the cost benefits associated to multi-cloud and spot instances. Spot Ocean solves this problem by managing containers within a "Serverless” environment. Ocean is an abstraction over virtual machines that allows Kubernetes clusters to be deployed without the need for managing the underlying VMs. Ocean makes use of multiple compute purchasing options such as Spot and Reserved instance pricing. It also has failover to On Demand instances whenever necessary, resulting in a 80% reduction in infrastructure expenses. Spot Ocean is a Serverless Compute Engine. It abstracts the provisioning (launching), autoscaling and management of worker nodes within Kubernetes clusters.

Our platform allows you create distributed coding and data science processes with contractors, freelancers, and developers located anywhere. They work on their own devices, while auditing your data and ensuring data security. Strong Network has created a multi-cloud platform we call Virtual Workspace Infrastructure. It allows companies to securely unify their access to their global data science and coding processes via a simple web browser. The VWI platform is an integral component of their DevSecOps process. It doesn't require integration with existing CI/CD pipelines. Process security is focused on data, code, and other critical resources. The platform automates the principles and implementation of Zero-Trust Architecture, protecting the most valuable IP assets of the company.

Spot by NetApp is a comprehensive cloud management platform that automates and optimizes cloud infrastructure to deliver the perfect balance of performance, availability, and cost efficiency. Using advanced machine learning and analytics, Spot helps organizations cut cloud compute costs by up to 90% by intelligently leveraging a mix of spot, reserved, and on-demand instances. It provides robust solutions for Kubernetes optimization, cloud financial management (FinOps), and commitment management, giving businesses full control and visibility over their cloud environments. With its ability to automate critical operations and enhance resource utilization, Spot empowers businesses to scale seamlessly, accelerate cloud adoption, and maintain security across hybrid and multi-cloud architectures.

Stakkr, a docker recompose tool, uses docker compose to create and maintain a stack services for web development. You can set up the services you need and let stakkr link them and start everything. It only works in CLI and is a great replacement for Vagrant. You're familiar with Docker. It allows you to create a complete environment with multiple services that are linked. This is either done manually or using docker-compose. Although the second option is the best, it means that you will need to modify your environment parameters, select your images, and learn the docker-compose command-line tool. It's not flexible and difficult to learn. Stakkr will assist you with a simple configuration file and a list of services (that can easily be extended by plugins). This will allow you to create a complete environment. It can also be controlled via the command line. It makes docker easy to use.

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.

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.

Capital One's open-source container orchestration tool, Critical Stack, makes it easy to deploy applications quickly and confidently. Critical Stack ensures the highest levels of security and governance, allowing teams to scale containerized applications even in the most challenging environments. With just a few clicks, you can view your entire environment and create new services. Spend more time developing and making decisions and less time maintaining. Dynamically adjust shared resources in your environment to optimize efficiency. Your teams should be able to configure container networking policies and controls. Accelerate the development and deployment of containerized apps. Ensure that containerized applications meet your requirements. Easily deploy containerized applications. Critical Stack enables application validation and powerful orchestration capabilities to support your most important workloads.

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.

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.

Pliant's solution to IT Process Automation streamlines, secures, and simplifies the way teams build and deploy automation. Pliant will reduce human error, ensure compliance and increase your efficiency. Pliant allows you to integrate existing automation and create new automation using single-pane orchestration. You can ensure compliance with consistent, practical, built-in governance. Pliant has abstracted thousands from vendor APIs to create intelligent actions blocks that allow users to drag-and drop blocks rather than writing lines of code. Citizen developers can create consistent and meaningful automation across platforms and services in minutes. This allows them to maximize the value of the entire technology stack from one platform. We can add APIs in as little as 15 business days. This is an industry-leading timeframe.

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.

Modernization is the goal. Start your journey here. Choose the path that will lead to your application's success. Begin your journey by reviewing the resources that are available to help you. OpenEdge 12 provides the technical foundation for your application evolution efforts. This is the recommended framework to deploy OpenEdge applications in the AWS Cloud. OpenEdge gives you options when it comes time to modernize your application. OpenEdge continues to address the needs of your business by delivering high-availability, high-performing and agile applications. The Progress Application Evolution approach supports your need to meet the needs of your customers and users. It provides measured steps towards modernization that eliminates the need for re-architecting. OpenEdge 12 is a great tool for your business.

Helios is a Docker orchestration platform that allows you to deploy and manage containers across a large number of servers. Helios offers a command-line client and an HTTP API to allow you to interact with the containers running on your servers. It keeps track of all events in your cluster, including version changes, deploys, restarts, and restarts. Although the binary release of Helios was designed for Ubuntu 14.04.1LTS, Helios should work on any platform that has Java 8 and Maven 3. To launch a local environment, use helios–solo with a Helios master or agent. Helios is pragmatic. We don't have all the answers, but we do our best to make sure that what we do have is rock-solid. We don't yet have dynamic scheduling or resource limits. It is more important for us to have the CI/CD use case and surrounding tooling firmly established today than ever before. However, dynamic scheduling and composite jobs are all possible in the future.

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.

A Docker deployment tool. It takes containers from a Docker registry, and runs them on a number of hosts that have the correct environment variables, host volume maps, and port mappings. It supports rolling deployments right out of the box and makes it easy for applications to be shipped to Docker servers. It is being used in our production infrastructure. Centurion uses a two-part deployment process. The build process ships a container into the registry, and Centurion moves containers from the registry to Centurion's Docker fleet. The Docker command line tools handle registry support directly, so you can use any item they support via the normal registry mechanism. Before you deploy Centurion, it is a good idea to learn how to use a registry. This code was developed openly with input from the community via PRs and issues. New Relic has an active maintainer group.

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.

Mesos is built on the same principles as Linux, but at a higher level of abstraction. The Mesos kernel runs at every machine. It provides applications (e.g. Hadoop, Spark Kafka, Elasticsearch, Kafka) with API's that allow for resource management and scheduling across all datacenters and cloud environments. Native support for Docker and AppC images launching containers. Support for legacy and cloud native applications running in the same cluster using pluggable scheduling policies.

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.

Make your Kubernetes autoscaling proactive. PredictKube will help you move from reactive to proactive scaling. Our AI model makes predictions that will allow you to complete autoscaling before load rises. Our AI model can work with your data for up to 2 weeks to provide reliable prediction and autoscaling. PredictKube, a predictive Keda scaler, helps you save time and automates autoscaling. Our KEDA scaler was built using the best technologies for Kubernetes or AI. You can input data for up to 1 week and get proactive autoscaling with AI prediction. This will allow you to scale up to 6 hours per hour. Our AI model can analyze your data and use data from custom and public business metrics to determine the right time for scaling. Access to API is free and all features are available to enable autoscaling.

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.

Aurora manages applications and services on a shared machine pool and is responsible for maintaining them running forever. Aurora intelligently reschedules jobs that are affected by failure onto more capable machines. Aurora detects the health and status of a deployment when updating jobs and will automatically rollback if necessary. Aurora uses a quota system that guarantees resources for certain applications. It can also support multiple users to deploy services. A DSL that supports templating allows services to be highly configurable. This allows you to create common patterns and avoid duplicate configurations. Clients like Finagle can discover Aurora's services via Apache ZooKeeper.

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.