Alternatives to MapReduce

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.

CIQ empowers people to do amazing things by providing innovative and stable software infrastructure solutions for all computing needs. From the base operating system, through containers, orchestration, provisioning, computing, and cloud applications, CIQ works with every part of the technology stack to drive solutions for customers and communities with stable, scalable, secure production environments. CIQ is the founding support and services partner of Rocky Linux, and the creator of the next generation federated computing stack.

xCAT is an open-source tool that automates the deployment, scaling and management of virtual machines and bare metal servers. It provides comprehensive management capabilities for high performance computing clusters. This includes render farms, grids and web farms. xCAT is an extensible framework based upon years of system administration experience. It allows administrators to discover hardware servers and execute remote system management. They can also provision operating systems in virtual or physical machines, both in diskless and disk mode, install and configure applications, and perform system management in parallel. The toolkit is compatible with ppc64le architectures, such as x86_64 and ppc64, and supports a variety of operating systems including Red Hat Ubuntu SUSE and CentOS. It integrates management protocols such as IPMI, HMC FSP and OpenBMC to facilitate remote console access.

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.

Red Hat Advanced Cluster Management with Kubernetes allows you to manage clusters and applications using a single console. It also includes built-in security policies. Red Hat OpenShift can be extended by deploying applications, managing multiple clusters and enforcing policy across multiple clusters. Red Hat's solution monitors usage, ensures compliance and maintains consistency. Red Hat Advanced Cluster Management is included in Red Hat OpenShift Plus. This complete set of powerful and optimized tools will help you secure, manage, and protect your apps. Manage any Kubernetes Cluster in your fleet and run your operations anywhere Red Hat OpenShift is running. Self-service provisioning speeds up application development pipelines. Distributed clusters can be used to deploy cloud-native and legacy applications. Self-service cluster deployment automates the delivery of applications, freeing up IT departments.

AWS ParallelCluster, an open-source tool for cluster management, simplifies the deployment of High-Performance Computing clusters (HPC) on AWS. It automates resource setup, including compute nodes and a shared filesystem. It also supports multiple instance types and queues for job submission. ParallelCluster can be accessed via a graphical interface, command line interface, or API. This allows for flexible cluster management and configuration. The tool integrates with AWS Batch and Slurm to facilitate seamless migration of HPC workloads into the cloud. AWS ParallelCluster comes at no extra cost; users pay only for the AWS resources used by their applications. AWS ParallelCluster allows you to use a simple text document to model, provision and dynamically scale resources for your applications. This can be done in an automated, secure and automated manner.

TrinityX, an open-source cluster management system created by ClusterVision to provide 24/7 oversight of High-Performance Computing and Artificial Intelligence environments. It provides a reliable, SLA-compliant system of support, allowing users the freedom to focus on their research, while still managing complex technologies like Linux, SLURM CUDA, InfiniBand Lustre and Open OnDemand. TrinityX simplifies cluster deployment with an intuitive interface that guides users step-bystep in configuring clusters for diverse purposes such as container orchestration, HPC and InfiniBand/RDMA. The BitTorrent protocol enables rapid deployment and setup of AI/HPC Nodes. The platform offers a dashboard that provides real-time insights on cluster metrics, resource usage, and workload distribution. This allows for the identification of bottlenecks, and optimizes resource allocation.

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.

The ultimate full-stack clustering solution that allows you to manage and scale clusters with ease and control. Qlustar provides unmatched simplicity and robust capability to your HPC and AI environments. Qlustar offers a seamless cluster operation, from bare-metal installations with the Qlustar Installer to seamless cluster operations. Setup and manage your clusters in an unmatched manner. Designed to grow along with your needs and handle even the most complex workloads without any hassle. Designed for speed, reliability and resource efficiency. Upgrade your OS, manage security patches and avoid reinstallations. Regular updates protect your clusters from vulnerabilities. Qlustar optimizes computing power to deliver peak efficiency in high-performance computing environments. Our solution provides robust workload management, high availability built-in, and an intuitive user interface for streamlined operations.

Evidian SafeKit, a high-availability solution, is designed to ensure redundancy for critical applications on Windows or Linux platforms. It offers a one-stop solution that integrates load balancing with synchronous real-time replication, automatic application failureover, and automated failback following a server failure. This eliminates the requirement for additional hardware such as network load-balancers or shared hard disks as well as enterprise editions of databases and operating systems. SafeKit's clustering software allows for the creation of mirror clusters that have real-time data replicating and failover as well as farm clusters that have load balancing, failover and advanced architectures such as farm+mirror and active-active clusters. Its shared-nothing design simplifies deployment even at remote sites by avoiding the complexity of shared disk clusters.

OKD is, in short, a very opinionated Kubernetes deployment. Kubernetes is an open-source collection of software and patterns for operating applications at scale. We add some features as modifications to Kubernetes but we augment the platform primarily by "preinstalling", or installing, a large number of pieces of software known as Operators in the deployed cluster. These operators provide all of the cluster components (over one hundred of them) which make up our platform, including OS upgrades, web consoles and monitoring, as well as image-building. OKD can be run on all scales, from cloud to metal and edge. The installer can be fully automated (such AWS) or configured to fit custom environments (such metal or labs). OKD adopts the latest technology and best practices. This is a great platform for students and technologists to experiment, learn and contribute across the cloud eco-system.

Warewulf, a cluster management system and provisioning tool, has been a pioneer in stateless node-management for more than two decades. It allows provisioning containers directly on bare metal hardware, at scales ranging from 10s to 10,000s of compute systems, while maintaining simplicity and versatility. The platform is extensible and allows users to modify the default functionalities and images of nodes to suit different clustering use cases. Warewulf provides stateless provisioning using SELinux and per-node asset keys-based provisioning. It also offers access controls to ensure secure deployments. Its minimal requirements, ease of customization, integration, and optimization make it accessible to a wide range of industries. Warewulf is a highly successful HPC cluster platform that is used across many sectors. It's supported by OpenHPC, and has contributors from around the world. Easy to start, easy to customize and integrate, minimal system requirements.

OpenSVC is a free software solution that provides tools for service mobility and clustering, container orchestration and management, configuration management, as well as comprehensive infrastructure auditing. The platform consists of two main components. The agent acts as a clusterware, container orchestrator and configuration manager. It facilitates the deployment, management and scaling of services in diverse environments including on-premises virtual machines and cloud instances. It supports a variety of operating systems, including Unix, Linux BSD, macOS and Windows. It also offers features such as cluster DNS, backend networking, ingress gateways and scalers. The collector aggregates the data reported by agents, and fetches all information from site infrastructure, such as networks, SANs and storage arrays. It is a flexible, reliable and secure data storage.

Dataproc makes it easy to process open source data and analytic processing in the cloud. Faster build custom OSS clusters for custom machines Dataproc can speed up your data and analytics processing, whether you need more memory for Presto or GPUs to run Apache Spark machine learning. It spins up a cluster in less than 90 seconds. Cluster management is easy and affordable Dataproc offers autoscaling, idle cluster deletion and per-second pricing. This allows you to focus your time and resources on other areas. Security built in by default Encryption by default ensures that no data is left unprotected. Component Gateway and JobsAPI allow you to define permissions for Cloud IAM clusters without the need to set up gateway or networking nodes.

The integrated system management solution for Linux®, high-performance computing (HPC), clusters is offered by HPE Performance Cluster Manager (HPCM). HPE Performance Cluster Manager offers complete provisioning, management and monitoring of clusters that scale up to Exascale-sized supercomputers. The software allows for fast system setup starting from bare metal, comprehensive hardware monitoring, management, software updates, power management and cluster health management. It makes scaling HPC clusters faster and more efficient, and integrates with a variety of third-party tools to manage and run workloads. HPE Performance Cluster Manager cuts down on the time and effort required to administer HPC systems. This results in lower total cost of ownership, increased productivity, and a higher return on investment.

Pipeshift is an orchestration platform that allows for the deployment and scaling of open-source AI components. This includes embeddings and vector databases as well as large language models, audio models and vision models. The platform is cloud-agnostic and offers end-toend orchestration to ensure seamless integration and management. Pipeshift's enterprise-grade security is a solution for DevOps, MLOps, and MLOps teams looking to build production pipelines within their own organization, instead of using experimental API providers who may not have privacy concerns. The key features include an enterprise MLOps dashboard for managing AI workloads like fine-tuning and distillation; multi-cloud orchestration, with built-in autoscalers and load balancers; and Kubernetes Cluster Management.

TKE is compatible with all Kubernetes capabilities. It has been adapted to Tencent Cloud’s fundamental IaaS capabilities, such as CVM or CBS. Tencent Cloud's Kubernetes cloud products, such as CBS or CLB, allow for one-click deployment to container clouds for a variety open-source applications. This greatly improves deployment efficiency. TKE makes it easy to manage large-scale clusters, as well as the management and OPS distributed applications. You don't need to use cluster management software. Launch TKE, specify the tasks that you wish to run, and TKE will handle all the cluster management tasks. This allows you to concentrate on developing Dockerized apps.

ClusterVisor, an HPC cluster system, provides comprehensive tools to deploy, provision, manage, monitor, and maintain high-performance computing clusters through their entire lifecycle. It offers flexible deployment options, such as appliance deployment, which decouples the cluster management from head node and enhances system resilience. The platform includes LogVisor AI - an integrated log file analyzer that uses AI to classify logs according to severity. This allows for the creation of actionable alarms. ClusterVisor provides a set of tools to manage nodes, support user and group accounts, and provide customizable dashboards that allow comparisons and visualizations across multiple nodes and devices. It offers disaster recovery capabilities, storing system images to reinstall nodes. It also provides an intuitive web-based tool for rack diagramming, and allows comprehensive statistics and monitoring.

Amazon EKS Anywhere, a new Amazon EKS deployment option, allows you to create and manage Kubernetes clusters anywhere. This includes on your own virtual machines (VMs), and bare metal servers. EKS Anywhere offers an easy-to-install software package that allows you to create and operate Kubernetes clusters. It also includes automation tools for supporting the cluster's lifecycle. EKS Anywhere provides a consistent AWS management experience for your data center. It builds on the strengths and capabilities of Amazon EKS Distro (the same Kubernetes which powers EKS on AWS). EKS Anywhere makes it easy to buy or build your own management tools. It allows you to create EKS Distro clusters and update software. You can also handle backup and recovery. EKS Anywhere allows you to automate cluster management, reduce support cost, and eliminate redundant effort of using multiple open-source or third-party tools to operate Kubernetes clusters. AWS fully supports EKS Anywhere.

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.

Appvia Wayfinder provides a dynamic solution to manage your cloud infrastructure. It gives your developers self-service capabilities that let them manage and provision cloud resources without any hitch. Wayfinder's core is its security-first strategy, which is built on principles of least privilege and isolation. You can rest assured that your resources are safe. Platform teams rejoice! Centralised control allows you to guide your team and maintain organisational standards. But it's not just business. Wayfinder provides a single pane for visibility. It gives you a bird's-eye view of your clusters, applications, and resources across all three clouds. Join the leading engineering groups worldwide who rely on Appvia Wayfinder for cloud deployments. Do not let your competitors leave behind you. Watch your team's efficiency and productivity soar when you embrace Wayfinder!

Deploy and Orchestrate Applications on a Managed Kubernetes Platform with centralized, SaaS based management of distributed apps with a single-pane of glass and rich observeability. Simplify deployments by managing them as a single instance across on-prem cloud and edge locations. With a single Kubernetes-compatible API, you can manage and scale applications across multiple clusters (customer sites, F5 Distributed cloud Regional Edge or customer sites) with ease. Deploy, deliver and secure applications across all locations in a single "virtual location". Distributed applications can be deployed, secured, and operated with production grade Kubernetes, no matter where they are located, from the public cloud to the edge. Secure K8s Gateway for zero-trust security from the cluster to the ingress services, including WAAP, network and application firewall, and service policies management.

Windows Admin Center, a locally installed, browser-based management tool, allows IT administrators to manage Windows Servers and clusters, hyperconverged infrastructures, and Windows 10 PCs or later without cloud connectivity. It is the modern evolution of in-box management software like Server Manager and Microsoft Management Console, offering a streamlined experience. It provides a unified management interface for multiple server environments including physical, virtual, cloud-based, on-premises servers. This simplifies tasks such as configuration and troubleshooting. Hybrid management scenarios are enabled by seamlessly extending on-premises deployments into Azure. This integration allows the use of Azure services such as backup, disaster recovery and monitoring directly through the Windows Admin Center.

Foundry is the next generation of public cloud powered by an orchestration system that makes it as simple as flicking a switch to access AI computing. Discover the features of our GPU cloud service designed for maximum performance. You can use our GPU cloud services to manage training runs, serve clients, or meet research deadlines. For years, industry giants have invested in infra-teams that build sophisticated tools for cluster management and workload orchestration to abstract the hardware. Foundry makes it possible for everyone to benefit from the compute leverage of a twenty-person team. The current GPU ecosystem operates on a first-come-first-served basis and is fixed-price. The availability of GPUs during peak periods is a problem, as are the wide differences in pricing across vendors. Foundry's price performance is superior to anyone else on the market thanks to a sophisticated mechanism.

Bright Cluster Manager offers a variety of machine learning frameworks including Torch, Tensorflow and Tensorflow to simplify your deep-learning projects. Bright offers a selection the most popular Machine Learning libraries that can be used to access datasets. These include MLPython and NVIDIA CUDA Deep Neural Network Library (cuDNN), Deep Learning GPU Trainer System (DIGITS), CaffeOnSpark (a Spark package that allows deep learning), and MLPython. Bright makes it easy to find, configure, and deploy all the necessary components to run these deep learning libraries and frameworks. There are over 400MB of Python modules to support machine learning packages. We also include the NVIDIA hardware drivers and CUDA (parallel computer platform API) drivers, CUB(CUDA building blocks), NCCL (library standard collective communication routines).

EMR allows you to scale managed Hadoop clusters manually, or automatically, according to your monitoring metrics or business curves. EMR's storage computation separation allows you to terminate clusters to maximize resource efficiency. EMR supports hot failover on CBS-based nodes. It has a primary/secondary disaster recovery mechanism that allows the secondary node to start within seconds of the primary node failing, ensuring high availability of big data services. Remote disaster recovery is possible because of the metadata in Hive's components. High data persistence is possible with computation-storage separation for COS data storage. EMR comes with a comprehensive monitoring system that allows you to quickly locate and identify cluster exceptions in order to ensure stable cluster operations. VPCs are a convenient network isolation method that allows you to plan your network policies for managed Hadoop clusters.

Azure Red Hat OpenShift is a highly available, fully-managed OpenShift Cluster on Demand, monitored and operated by Microsoft and Red Hat jointly. Red Hat OpenShift is built around Kubernetes. OpenShift adds value to Kubernetes by bringing additional features, making it an integrated container platform as a Service (PaaS), with a significantly enhanced developer and operator experience. Highly available, fully-managed public and private clusters. Automated operations. Over-the-air platform updates. Use the web console's enhanced user interface to build, deploy and configure containerized applications, as well as cluster resources.

Rocks is a Linux cluster distribution available as an open-source. It allows users to build visualization tiled display walls, grid endpoints and computational clusters. Since May 2000, Rocks has worked to address the difficulty of deploying manageable Clusters. The group's goal is to make clusters easy for users to deploy, upgrade, and scale. The latest update is Rocks 7.0 codenamed Manzanita. It is a 64 bit-only release based on CentOS 7.4 with all updates applied by December 1, 2017. Rocks includes many tools such as Message Passing Interface, which is an integral component that turns a grouping of computers into a Cluster. Installing additional software packages can be done by using user-supplied CDs. OS updates address the Spectre/Meltdown vulnerabilities that affect (almost) all hardware.

ManageEngine DDI Central streamlines network management in enterprises by offering a unified platform that includes DNS, DHCP and IPAM. DDI Central, as an overlay discovers and integrates all data from both on-premises and remote DNS-DHCP Clusters. Enterprises can gain a holistic view and control of their entire network infrastructure, even in remote branch offices. DDI Central's smart automation features, real time analytics, and advanced network security protocols enhance operational efficiency, visibility and network security from a single console. Features: Flexible internal and external DNS cluster management DNS Server and Zone Management Streamlined Automated DHCP scope Management Targeted IP configurations using DHCP fingerprinting Secure dynamic DNS (DDNS) management DNS aging and scavenging DNS security management Domain traffic surveillance IP Lease History: IP-DNS correlations, IP-MAC identity mapping Built-in failover & auditing

NVIDIA Base command manager offers end-to-end management and fast deployment for heterogeneous AI clusters and high-performance computing at the edge, data center and in multi-cloud and hybrid environments. It automates provisioning and management of clusters from a few nodes up to hundreds of thousands of nodes, supports NVIDIA GPU accelerated systems and other systems and enables orchestration using Kubernetes. The platform integrates Kubernetes to orchestrate workloads and provides tools for infrastructure monitoring and workload management. Base Command Manager has been optimized for accelerated computing environments and is suitable for diverse HPC workloads. It is available on NVIDIA DGX Systems and as part the NVIDIA AI enterprise software suite. NVIDIA Base Command Manager allows you to quickly build and manage high-performance Linux clusters for HPC, machine learning and analytics applications.

IBM Tivoli System Automation for Multiplatforms is a cluster-managing program that allows users, applications and data to be automatically switched from one database system in a cluster to another. Tivoli SAMP automates the control of IT resources, such as file systems, processes, and IP addresses. Tivoli SAMP provides a framework for managing the availability of resources. Software for which scripts to start, monitor and stop can be written. Any network interface card that Tivoli SAMP has been granted access to. Tivoli SAMP manages the availability for any IP address a user wishes to use by floating this IP address among NICs to which it has access. This is referred to as a virtual or floating IP address. In a Db2 single-partition environment, only one Db2 instance runs on the server. This Db2 instance can access data locally (its own executable as well as databases owned and controlled by the instance).

SUSE Rancher Prime is designed to meet the needs of DevOps teams who deploy applications using Kubernetes, and IT operations that deliver enterprise-critical services. SUSE Rancher Prime is compatible with any CNCF-certified Kubernetes Distribution. RKE is available for on-premises workloads. We support all public cloud distributions including EKS AKS and GKE. We offer K3s at the edge. SUSE Rancher prime provides easy, consistent cluster operation, including provisioning and version management, visibility, diagnostics, monitoring, alerting and centralized audit. SUSE Rancher Prime automates processes and applies a consistent security and user access policy to all clusters, regardless of where they are running. SUSE Rancher Prime offers a wide range of services to build, deploy, and scale containerized applications. These include app packaging, CI/CD and monitoring.

Modern cloud-native applications running on Kubernetes environments require assistance with scaling, securing, and monitoring. Gloo Mesh, utilizing the Istio service mesh, streamlines the management of service mesh for multi-cluster and multi-cloud environments. By incorporating Gloo Mesh into their platform, engineering teams can benefit from enhanced application agility, lower costs, and reduced risks. Gloo Mesh is a modular element of Gloo Platform. The service mesh allows for autonomous management of application-aware network tasks separate from the application, leading to improved observability, security, and dependability of distributed applications. Implementing a service mesh into your applications can simplify the application layer, provide greater insights into traffic, and enhance application security.

IBM Spectrum LSF Suites are a workload manager and job scheduler designed for distributed high-performance computation (HPC). Terraform-based automated provisioning and configuration of resources for an IBM Spectrum LSF cluster on IBM Cloud are available. Our integrated solution for mission critical HPC environments increases user productivity and hardware usage while reducing management costs. The heterogeneous architecture is highly scalable and supports high-throughput workloads and traditional high-performance computing. It is also suitable for containerized, big data, GPU machine-learning, and cognitive workloads. IBM Spectrum LSF Suites' dynamic HPC cloud support allows organizations to intelligently utilize cloud resources based upon workload demand. It supports all major cloud providers. Use advanced workload management with policy-driven schedules, including GPU scheduling and a dynamic hybrid cloud to add capacity as needed.

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.

Amazon EMR is the market-leading cloud big data platform. It processes large amounts of data with open source tools like Apache Spark, Apache Hive and Apache HBase. EMR allows you to run petabyte-scale analysis at a fraction of the cost of traditional on premises solutions. It is also 3x faster than standard Apache Spark. You can spin up and down clusters for short-running jobs and only pay per second for the instances. You can also create highly available clusters that scale automatically to meet the demand for long-running workloads. You can also run EMR clusters from AWS Outposts if you have on-premises open source tools like Apache Spark or Apache Hive.

Slurm Workload Manager (formerly Simple Linux Utility for Resource Management, or SLURM) is a free and open-source cluster management system for Linux-like kernels. It is designed to manage computing jobs on high-performance computing (HPC), high throughput computing environments (HTC), and is used by most supercomputers and computer groups around the world.

Azure Kubernetes Service clusters can easily handle multicluster scenarios, such as workload propagation (for traffic flowing to member clusters) and upgrade orchestration. Fleet cluster allows for centralized management at scale of all clusters. The managed hub cluster will take care of upgrades and Kubernetes configuration for you. Kubernetes configuration dissemination allows you to use policies and overrides for disseminating objects across clusters. North-South load balancer orchestrates traffic across workloads deployed across multiple member clusters in the fleet. Group any combination Azure Kubernetes Service clusters (AKS) to simplify multi-cluster workflows such as Kubernetes configuration dissemination and multi-cluster network. Fleet requires a hub Kubernetes Cluster to store configurations such as placement policy and multi-cluster networking.

Tungsten Clustering is the only fully-integrated, fully-tested, fully-tested MySQL HA/DR and geo-clustering system that can be used on-premises or in the cloud. It also offers industry-leading, fastest, 24/7 support for Percona Server, MariaDB and MySQL applications that are business-critical. It allows businesses that use business-critical MySQL databases to achieve cost-effective global operations with commercial-grade high availabilty (HA), geographically redundant disaster relief (DR), and geographically distributed multimaster. Tungsten Clustering consists of four core components: data replication, cluster management, and cluster monitoring. Together, they handle all of the messaging and control of your Tungsten MySQL clusters in a seamlessly-orchestrated fashion.

Multi-Cloud, Multi-Cluster Kubernetes App Deployment & Migration Made Simple. With CAPE, unleash your K8s power. Key Features Disaster Recovery. Disaster Recovery Data Mobility & Migration. Stateful application backup and restore. Secure application and data management, and migration across public, private, and on-prem clouds. Multi-cluster Application Deployment. Stateful application deployment across multi-cluster & multi-cloud. Drag and Drop CI/CD Workflow Management. Simple UI for complex CI/CD pipeline configuration and deployment. CAPE for K8s Disaster Recovery Cluster Migration Cluster Upgrades Data Migration Data Protection Data Cloning App Deployment. Advanced Kubernetes functions like Disaster Recovery, Data Mobility & Migration Cluster Upgrades Data Migration Data Protection Data Cloning App Deployment and CI/CD across private, public and on-prem clouds are simplified by CAPE™. Multi-Cluster Application Deployment. Control plane to manage application and services, federate clusters.

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.

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.

Run popular open-source frameworks--including Apache Hadoop, Spark, Hive, Kafka, and more--using Azure HDInsight, a customizable, enterprise-grade service for open-source analytics. You can process huge amounts of data quickly and enjoy all the benefits of the large open-source project community with the global scale Azure. You can easily migrate your big data workloads to the cloud. Open-source projects, clusters and other software are easy to set up and manage quickly. Big data clusters can reduce costs by using autoscaling and pricing levels that allow you only to use what you use. Data protection is assured by enterprise-grade security and industry-leading compliance, with over 30 certifications. Optimized components for open source technologies like Hadoop and Spark keep your up-to-date.

FortressIQ is the industry's most advanced process-intelligence platform. It allows enterprises to decode work and transform experiences. FortressIQ combines innovative computer vision with artificial intelligence to provide unprecedented process insights. It is extremely fast and delivers detail and accuracy that are unattainable using traditional methods. The platform automatically acquires process data across multiple systems. This empowers enterprises to understand, monitor and improve their operations, employee and customer experience, and every business process. FortressIQ was established in 2017 and is supported by Lightspeed Venture Partners and Boldstart Ventures as well as Comcast Ventures and Eniac Ventures. Continuously and automatically identify inefficiencies and process variations to determine optimal process paths and reduce time to automate.

DxEnterprise Smart Availability Software DxEnterprise Smart Availability software is available for Windows Server, Linux, and Docker. It can manage multiple workloads at the instance and Docker levels. DxEnterprise is optimized for native and containerized Microsoft SQL Server deployments on any platform. It can also manage Oracle on Windows. DxE supports all Docker containers on Windows and Linux. This includes Oracle, MySQL, PostgreSQL and MariaDB. Our graphical user interface, Windows PowerShell, or DxMobi mobile app for Android and iOS smartphones, makes management easy and flexible.

EKS is community-driven. It supports the latest Kubernetes version and native Kubernetes cluster administration. It is available as a plugin that supports Tencent Cloud products such as storage, networking, load balancers, and other services. EKS is built on Tencent Cloud’s well-developed virtualization technology. It also uses Tencent Cloud’s network architecture to provide 99.95% service availability. Tencent Cloud ensures that EKS clusters are isolated from each other via virtual and network isolation. You can set up network policies for specific products by using security groups, network ACLs, and other options. EKS's serverless framework ensures better resource utilization and lower OPS cost. EKS uses only the resources required by the current load. Flexible and efficient auto scaling makes sure that EKS is only using the resources necessary. EKS can integrate with many Tencent Cloud services such as CBS, CFS and COS, TencentDB products and VPC.

You can easily develop and execute massively parallel data processing and transformation programs in U-SQL and R. You don't need to maintain any infrastructure and can process data on-demand, scale instantly, or pay per job. Azure Data Lake Analytics makes it easy to process large data jobs in seconds. There are no servers, virtual machines or clusters to manage or tune. You can instantly scale your processing power in Azure Data Lake Analytics Units, (AU), to one to thousands per job. Only pay for the processing you use per job. Optimized data virtualization of relational sources, such as Azure SQL Database or Azure Synapse Analytics, allows you to access all your data. Your queries are automatically optimized by moving processing closer to the source data, which maximizes performance while minimising latency.

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.

Batch runs applications you use on workstations or clusters. Cloud-enabling your executables and scripts is easy. Batch creates a queue for the work you want to execute and executes your application. Describe how to distribute the data, which parameters to use for the tasks, and what data needs to be moved into the cloud. Imagine it as an assembly line for multiple applications. You can manage the execution of a batch and share data between steps. Batch runs jobs on demand and not according to a schedule. This allows your customers to run jobs in the cloud whenever they need. Manage who has access to Batch, how many resources can they use and make sure that encryption requirements are met. Rich monitoring allows you to keep track of what's happening and identify any problems.

Welcome to the OpenHPC website. OpenHPC was created as a collaborative community effort to gather a number common ingredients needed to deploy and manage High Performance Computing Linux clusters. These include provisioning tools and resource management, I/O Clients, development tools and a variety scientific libraries. OpenHPC packages have been built with HPC integration and reuse in mind. Over time, the HPC community will also identify and develop abstractions interfaces between key component to further enhance modularity. The community is made up of representatives from many sources, including software vendors and equipment manufacturers, as well as research institutions, supercomputing centers, and other organizations. This community integrates a variety of components that are widely used in HPC systems, and are available for free open source distribution.