Alternatives to Windows Server Failover Clustering

SIOS LifeKeeper for Windows is an all-encompassing solution designed for high availability and disaster recovery, seamlessly combining features like failover clustering, continuous monitoring of applications, data replication, and adaptable recovery policies to achieve an impressive 99.99% uptime for various Microsoft Windows Server environments, including physical, virtual, cloud, hybrid-cloud, and multicloud setups. System administrators have the flexibility to construct SAN-based or SANless clusters utilizing multiple storage options, such as direct-attached SCSI, iSCSI, Fibre Channel, or local disks, while also selecting between local or remote standby servers that cater to both high availability and disaster recovery requirements. With its real-time block-level replication capabilities provided through the integrated DataKeeper, LifeKeeper offers WAN-optimized performance, which features nine distinct levels of compression, bandwidth throttling, and built-in WAN acceleration, guaranteeing effective data replication across different cloud regions or over WAN networks without relying on additional hardware accelerators. This robust solution not only enhances operational resilience but also simplifies the management of complex IT infrastructures. Ultimately, SIOS LifeKeeper stands out as a vital tool for organizations aiming to maintain seamless service continuity and safeguard their valuable data assets.

SIOS DataKeeper is a block-level replication solution tailored for host-based environments, providing real-time redundancy either synchronously or asynchronously for Windows Server setups, and it integrates effortlessly with Windows Server Failover Clustering (WSFC). This innovative solution facilitates the creation of "SANless" clusters, removing the need for shared-storage systems by enabling data replication across various local, virtual, or cloud servers such as VMware, Hyper-V, AWS, Azure, and Google Cloud Platform, all while ensuring optimized performance without the necessity for specialized hardware accelerators or compression tools. After installation, it introduces a new SIOS DataKeeper Volume resource within WSFC, allowing for the support of geographically distributed clusters through cross-subnet failover and customizable heartbeat settings. Additionally, it features built-in WAN optimization and effective compression to enhance bandwidth utilization over both local and wide-area networks, thereby improving overall network efficiency. This combination of features makes SIOS DataKeeper an excellent choice for organizations looking to enhance their data availability without the complexities of traditional storage solutions.

HPE Serviceguard for Linux (SGLX) is a clustering solution focused on high availability (HA) and disaster recovery (DR) that aims to ensure maximum uptime for essential Linux workloads, whether they are deployed on-premises, in virtualized setups, or across hybrid and public cloud environments. It consistently tracks the performance of applications, services, databases, servers, networks, storage, and processes; when it identifies issues, it rapidly initiates automated failover, typically within four seconds, all while maintaining data integrity. SGLX accommodates both shared-storage and shared-nothing architectures through its Flex Storage add-on, which allows for the provision of highly available services like SAP HANA and NFS in situations where SAN is not an option. The E5 edition, which is solely focused on HA, offers zero-RPO application failover alongside comprehensive monitoring and a user-friendly workload-centric graphical interface. In contrast, the E7 edition that combines HA and DR features introduces capabilities such as multi-target replication, automated recovery with a simple button press, rehearsals for disaster recovery, and the flexibility for workload mobility between on-premises systems and the cloud, thereby enhancing operational resilience. This versatility makes SGLX a valuable asset for businesses aiming to maintain continuous service availability in the face of potential disruptions.

NEC’s EXPRESSCLUSTER software offers a robust and cost-effective way to ensure uninterrupted business operations through high availability and disaster recovery capabilities. It effectively mitigates risks of data loss and system failures by enabling seamless failover and data synchronization between servers, without the need for expensive shared storage solutions. With a strong presence in over 50 countries and a market-leading position in the Asia Pacific region for more than eight years, EXPRESSCLUSTER has been widely adopted by thousands of companies worldwide. The platform integrates with numerous databases, email systems, ERP platforms, virtualization environments, and cloud providers like AWS and Azure. EXPRESSCLUSTER continuously monitors system health, including hardware, network, and application status, to provide instant failover in case of disruptions. Customers report significant improvements in operational uptime, disaster resilience, and data protection, contributing to business efficiency. This software is backed by decades of experience and a deep understanding of enterprise IT needs. It delivers peace of mind to businesses that rely on critical systems to remain online at all times.

ClusterControl is a multi-cloud hybrid database ops orchestration platform that supports MongoDB and Elasticsearch as well as Redis, TimescaleDB and SQL Server on Linux. It also supports Galera Cluster, PostgreSQL and MySQL in cloud and on-premises environments. It can handle all aspects of the lifecycle, including deployment, failover, backup, and more. It allows organizations to implement the Sovereign DBaaS model with its full suite of databases and ops features. ClusterControl is the ideal solution for organizations who need to run large-scale, open source database operations reliably but don't want to be restricted by traditional DBaaS providers. It allows you to choose your environment, stability of licenses, and gives you DB access.

Evidian SafeKit is a robust software solution aimed at achieving high availability for crucial applications across both Windows and Linux systems. This comprehensive tool combines several features, including load balancing, real-time synchronous file replication, automatic failover for applications, and seamless failback after server outages, all packaged within one product. By doing so, it removes the requirement for additional hardware like network load balancers or shared disks, and it also eliminates the need for costly enterprise versions of operating systems and databases. SafeKit's innovative software clustering allows users to establish mirror clusters that ensure real-time data replication and failover, as well as farm clusters that facilitate both load balancing and failover capabilities. Furthermore, it supports advanced configurations like farm plus mirror clusters and active-active clusters, enhancing flexibility and performance. Its unique shared-nothing architecture greatly simplifies the deployment process, making it particularly advantageous for use in remote locations by circumventing the challenges typically associated with shared disk clusters. In summary, SafeKit provides an effective and streamlined solution for maintaining application availability and data integrity across diverse environments.

DRBD® (Distributed Replicated Block Device) is an open source, software-centric solution for block storage replication on Linux, engineered to provide high-performance and high-availability (HA) data services by synchronously or asynchronously mirroring local block devices between nodes in real-time. As a virtual block-device driver deeply integrated into the Linux kernel, DRBD guarantees optimal local read performance while facilitating efficient write-through replication to peer devices. The user-space tools, including drbdadm, drbdsetup, and drbdmeta, support declarative configuration, metadata management, and overall administration across different installations. Initially designed to support two-node HA clusters, DRBD 9.x has evolved to accommodate multi-node replication and seamlessly integrate into software-defined storage (SDS) systems like LINSTOR, which enhances its applicability in cloud-native frameworks. This evolution reflects the growing demand for robust data management solutions in increasingly complex environments.

DxEnterprise is a versatile Smart Availability software that operates across multiple platforms, leveraging its patented technology to support Windows Server, Linux, and Docker environments. This software effectively manages various workloads at the instance level and extends its capabilities to Docker containers as well. DxEnterprise (DxE) is specifically tuned for handling native or containerized Microsoft SQL Server deployments across all platforms, making it a valuable tool for database administrators. Additionally, it excels in managing Oracle databases on Windows systems. Beyond its compatibility with Windows file shares and services, DxE offers support for a wide range of Docker containers on both Windows and Linux, including popular relational database management systems such as Oracle, MySQL, PostgreSQL, MariaDB, and MongoDB. Furthermore, it accommodates cloud-native SQL Server availability groups (AGs) within containers, ensuring compatibility with Kubernetes clusters and diverse infrastructure setups. DxE's seamless integration with Azure shared disks enhances high availability for clustered SQL Server instances in cloud environments, making it an ideal solution for businesses seeking reliability in their database operations. Its robust features position it as an essential asset for organizations aiming to maintain uninterrupted service and optimal performance.

EMR allows you to adjust the size of your managed Hadoop clusters either manually or automatically, adapting to your business needs and monitoring indicators. Its architecture separates storage from computation, which gives you the flexibility to shut down a cluster to optimize resource utilization effectively. Additionally, EMR features hot failover capabilities for CBS-based nodes, utilizing a primary/secondary disaster recovery system that enables the secondary node to activate within seconds following a primary node failure, thereby ensuring continuous availability of big data services. The metadata management for components like Hive is also designed to support remote disaster recovery options. With computation-storage separation, EMR guarantees high data persistence for COS data storage, which is crucial for maintaining data integrity. Furthermore, EMR includes a robust monitoring system that quickly alerts you to cluster anomalies, promoting stable operations. Virtual Private Clouds (VPCs) offer an effective means of network isolation, enhancing your ability to plan network policies for managed Hadoop clusters. This comprehensive approach not only facilitates efficient resource management but also establishes a reliable framework for disaster recovery and data security.

Reduce unexpected downtime and lessen the risk of data loss resulting from corruption or system failures. The SLE HA extension features geo clustering capabilities to oversee clustered servers, whether they are located on-premises or in cloud environments globally. Our policy-driven, robust extension for Linux clusters ensures that your business remains operational while significantly reducing unplanned downtime across various locations and regions. With flexible, policy-driven clustering and continuous data replication, you can enhance adaptability while improving service availability and resource efficiency by integrating both physical and virtual Linux server clusters. A powerful unified interface allows you to install, configure, manage, and monitor your clustered Linux environments seamlessly. Additionally, multi-tenancy functionality enables you to organize geo clusters in alignment with specific business requirements, ensuring tailored management and optimal performance. This comprehensive approach offers a strategic advantage in maintaining system resilience and operational excellence.

NetApp MetroCluster setups consist of two geographically distinct, mirrored ONTAP clusters that function together to ensure ongoing data availability and SVM safeguarding. Each cluster continuously replicates its data aggregates to its counterpart, ensuring that both locations maintain identical copies of the data. In case one of the sites experiences a failure, administrators can quickly activate the mirrored SVM on the operational cluster, allowing for uninterrupted data service. The MetroCluster system accommodates both fabric-attached (FC) and IP-based cluster configurations: the fabric-attached MetroCluster utilizes FC transport for SyncMirror synchronization between sites, while MetroCluster IP operates over layer-2 stretched IP networks. Deployments of Stretch MetroCluster facilitate coverage across an entire campus, and with ONTAP versions 9.12.1 and 9.15.1, MetroCluster IP configurations can support up to four nodes using NVMe/FC or NVMe/TCP. Furthermore, it is important to note that front-end SAN protocols such as FC, FCoE, and iSCSI are fully supported within this architecture, enhancing the overall versatility of MetroCluster solutions. This flexible design accommodates various enterprise needs, making it an attractive option for organizations looking to optimize their data management strategies.

IBM PowerHA SystemMirror is an advanced high availability solution designed to keep critical applications running smoothly by minimizing downtime through intelligent failure detection, automatic failover, and disaster recovery capabilities. This integrated technology supports both IBM AIX and IBM i platforms and offers flexible deployment options including multisite configurations for robust disaster recovery assurance. Users benefit from a simplified management interface that centralizes cluster operations and leverages smart assists to streamline setup and maintenance. PowerHA supports host-based replication techniques such as geographic mirroring and GLVM, enabling failover to private or public cloud environments. The solution tightly integrates IBM SAN storage systems, including DS8000 and Flash Systems, ensuring data integrity and performance. Licensing is based on processor cores with a one-time fee plus a first-year maintenance package, providing cost efficiency. Its highly autonomous design reduces administrative overhead, while continuous monitoring tools keep system health and performance transparent. IBM’s investment in PowerHA reflects its commitment to delivering resilient and scalable IT infrastructure solutions.

Rocket iCluster's high availability and disaster recovery (HA/DR) solutions guarantee seamless operation for your IBM i applications, ensuring consistent access by actively monitoring, detecting, and automatically rectifying replication issues. The iCluster's administration console, which supports both traditional green screen and contemporary web interfaces, provides real-time monitoring of events. By implementing real-time, fault-tolerant, object-level replication, Rocket iCluster minimizes downtime caused by unforeseen IBM i system failures. Should an outage occur, you can quickly activate a “warm” mirror of a clustered IBM i system within minutes. The disaster recovery capabilities of iCluster create a high-availability environment, facilitating simultaneous access to both master and replicated data for business applications. This configuration not only enhances system resilience but also allows for the delegation of essential business operations, such as running reports, executing queries, and managing ETL, EDI, and web tasks, from the secondary system without compromising the primary system's performance. Such flexibility ultimately leads to improved operational efficiency and reliability across your business processes.

Storage Spaces is a feature found in Windows and Windows Server designed to safeguard your data against hard drive failures. It operates similarly to RAID but is developed as a software solution. With Storage Spaces, you can combine three or more drives into a single storage pool, from which you can allocate capacity to create individual Storage Spaces. These spaces typically maintain multiple copies of your data, ensuring that if one drive fails, you still have a secure version of your information. When you find yourself lacking storage capacity, you can easily incorporate additional drives into the existing storage pool. There are four primary implementations of Storage Spaces: on a standard Windows PC, on a stand-alone server with all the storage contained within that server, on a clustered server using Storage Spaces Direct with local storage connected directly to each cluster node, and on a clustered server that utilizes one or more shared SAS storage enclosures encompassing all the drives. This versatility makes it suitable for expanding volumes on Azure Stack HCI and clusters running Windows Server, allowing for flexible and resilient data management. By leveraging these various configurations, users can effectively tailor their storage solutions to meet specific needs.

Red Hat Advanced Cluster Management for Kubernetes allows users to oversee clusters and applications through a centralized interface, complete with integrated security policies. By enhancing the capabilities of Red Hat OpenShift, it facilitates the deployment of applications, the management of multiple clusters, and the implementation of policies across numerous clusters at scale. This solution guarantees compliance, tracks usage, and maintains uniformity across deployments. Included with Red Hat OpenShift Platform Plus, it provides an extensive array of powerful tools designed to secure, protect, and manage applications effectively. Users can operate from any environment where Red Hat OpenShift is available and can manage any Kubernetes cluster within their ecosystem. The self-service provisioning feature accelerates application development pipelines, enabling swift deployment of both legacy and cloud-native applications across various distributed clusters. Additionally, self-service cluster deployment empowers IT departments by automating the application delivery process, allowing them to focus on higher-level strategic initiatives. As a result, organizations can achieve greater efficiency and agility in their IT operations.

SCC MediaServer's solutions for digital asset management and multimedia archiving have empowered numerous clients to enhance efficiency and reduce expenses by centralizing their digital assets and media workflows in strategically located data centers. Offered in both Enterprise and Express Editions, SCC MediaServer boasts a comprehensive suite of tools for content planning and assignment, facilitating effective asset management and digital media archiving. Engineered for compatibility with Microsoft Cluster Server, the MediaServer system enhances scalability and fault tolerance through its support for parallel processing and failover functionalities across various cluster nodes. Additionally, the included SCC MediaFactory is designed to automatically oversee designated network directories, FTP servers, email accounts, RSS-enabled websites, and even Twitter feeds, ensuring that incoming media is seamlessly ingested and indexed for easy access within the MediaServer database. Overall, this combination of features allows organizations to maintain a robust and efficient media management system.

Experience a robust, efficient, and feature-rich cloud server solution that operates in Canada (specifically Toronto and Montreal) as well as in France (Roubaix). Our KVM cloud servers utilize redundant SSD disk arrays to ensure reliability and speed. Explore our competitive pricing options! You can take live snapshots of your virtual machine at any moment, allowing you to capture its current disk state for backup or cloning purposes, all without any downtime. Additional storage is facilitated through detachable volumes that are stored on our high-availability cluster, which can be attached to virtual machines for expanded space or utilized as a boot device. During the boot process, your VM can be automatically configured using bash scripts and cloud-init, streamlining setup. Security groups grant you the ability to impose traffic restrictions on collections of virtual machines at the infrastructure level, enhancing security. Each virtual machine operates on its own private, isolated internal network, ensuring secure communication among them. Furthermore, our VMs can temporarily exceed their baseline performance, allowing them to harness extra CPU and I/O resources during load spikes, thereby easing the demands placed on your application. This flexibility and security make our cloud services an excellent choice for your hosting needs.

Percona XtraDB Cluster is an open-source, high availability, MySQL clustering solution. It helps enterprises reduce unexpected downtime and data losses, lower costs, and improve performance and scalability in their database environments. PXC supports critical business applications in the most demanding public and private cloud environments. Percona XtraDB Cluster, (PXC), preserves, secures and protects data as well as revenue streams, by providing the highest availability for business-critical applications. PXC can help you reduce costs, eliminate license fees, and meet budget constraints. Our integrated tools allow you to optimize, maintain, monitor, and monitor your cluster. This allows you to get the most from your MySQL environment.

Spot Ocean empowers users to harness the advantages of Kubernetes while alleviating concerns about infrastructure management, all while offering enhanced cluster visibility and significantly lower expenses. A crucial inquiry is how to effectively utilize containers without incurring the operational burdens tied to overseeing the underlying virtual machines, while simultaneously capitalizing on the financial benefits of Spot Instances and multi-cloud strategies. To address this challenge, Spot Ocean is designed to operate within a "Serverless" framework, effectively managing containers by providing an abstraction layer over virtual machines, which facilitates the deployment of Kubernetes clusters without the need for VM management. Moreover, Ocean leverages various compute purchasing strategies, including Reserved and Spot instance pricing, and seamlessly transitions to On-Demand instances as required, achieving an impressive 80% reduction in infrastructure expenditures. As a Serverless Compute Engine, Spot Ocean streamlines the processes of provisioning, auto-scaling, and managing worker nodes within Kubernetes clusters, allowing developers to focus on building applications rather than managing infrastructure. This innovative approach not only enhances operational efficiency but also enables organizations to optimize their cloud spending while maintaining robust performance and scalability.

Concentrate on creating applications for processing data streams instead of spending time on infrastructure upkeep. The Managed Service for Apache Kafka takes care of Zookeeper brokers and clusters, handling tasks such as configuring the clusters and performing version updates. To achieve the desired level of fault tolerance, distribute your cluster brokers across multiple availability zones and set an appropriate replication factor. This service continuously monitors the metrics and health of the cluster, automatically replacing any node that fails to ensure uninterrupted service. You can customize various settings for each topic, including the replication factor, log cleanup policy, compression type, and maximum message count, optimizing the use of computing, network, and disk resources. Additionally, enhancing your cluster's performance is as simple as clicking a button to add more brokers, and you can adjust the high-availability hosts without downtime or data loss, allowing for seamless scalability. By utilizing this service, you can ensure that your applications remain efficient and resilient amidst any unforeseen challenges.

Effortlessly implement a robust high availability framework for disaster recovery and failover across various cloud regions while ensuring zero downtime during maintenance periods. Enhance both performance and accessibility by utilizing multiple master databases distributed across diverse geographical locations. Maintain local data within its respective region and determine which tables will be globally replicated versus those that will remain local. Additionally, accommodate increased throughput when workloads approach the limits of existing compute resources. For organizations that prefer or require self-hosted and self-managed database solutions, the pgEdge Platform is designed to operate either on-premises or within self-managed cloud provider environments. It is compatible with a wide range of operating systems and hardware configurations, and comprehensive enterprise-grade support is readily available. Moreover, self-hosted Edge Platform nodes can seamlessly integrate into a pgEdge Cloud Postgres cluster, enhancing flexibility and scalability. This robust setup ensures that organizations can effectively manage their data strategies while maintaining optimal system performance.

Eddie serves as a tool for high availability clustering, functioning as a fully open-source software solution primarily developed in the functional programming language Erlang (www.erlang.org) and compatible with Solaris, Linux, and *BSD operating systems. Within this architecture, specific servers are assigned as Front End Servers, tasked with managing and allocating incoming traffic to designated Back End Servers, while also monitoring the status of those Back End Web Servers at the site. These Back End Servers can accommodate various Web servers, such as Apache, and incorporate an Enhanced DNS server that facilitates both load balancing and the oversight of site accessibility for web platforms distributed across different geographical locations. This structure ensures continuous access to the full capacity of the website, irrespective of its location. The white papers on Eddie delve into the necessity for solutions like Eddie and elaborate on its unique methodology. This comprehensive approach highlights the critical role of Eddie in maintaining seamless web operations across diverse environments.

StorMagic SvHCI is an innovative hyperconverged infrastructure (HCI) solution that merges hypervisor capabilities, software-defined storage, and virtualized networking into a cohesive software package. By leveraging SvHCI, organizations can effectively virtualize their complete infrastructure while avoiding the hefty financial burdens typically associated with other market alternatives. The solution ensures high availability through a distinctive cluster setup that requires only two nodes. Data is continuously mirrored between these nodes, guaranteeing that an exact replica is accessible at all times on either node. In the event that one node becomes unavailable, the StorMagic witness ensures the ongoing health of the cluster, allowing stores to remain operational, production processes to continue, and services to function smoothly until the offline node is brought back online. Impressively, a single StorMagic witness, regardless of its location, is capable of managing up to 1000 StorMagic clusters at once, further enhancing operational efficiency and reliability. This scalability makes SvHCI an attractive option for businesses looking to streamline their IT infrastructure without compromising performance.

As the utilization of Kubernetes continues to increase, organizations are discovering the necessity of managing and deploying several clusters in order to support essential capabilities such as geo-redundancy, scalability, and fault isolation for their applications. Submariner enables your applications and services to operate seamlessly across various cloud providers, data centers, and geographical regions. To initiate this process, the Broker must be set up on a singular Kubernetes cluster. It is essential that the API server of this cluster is accessible to all other Kubernetes clusters that are linked through Submariner. This can either be a dedicated cluster or one of the already connected clusters. Once Submariner is installed on a cluster equipped with the appropriate credentials for the Broker, it facilitates the exchange of Cluster and Endpoint objects between clusters through mechanisms such as push, pull, and watching, thereby establishing connections and routes to other clusters. It's crucial that the worker node IP addresses on all connected clusters reside outside of the Pod and Service CIDR ranges. By ensuring these configurations, teams can maximize the benefits of multi-cluster setups.

Windows Server 2022 brings forth enhanced multi-layered security features, hybrid functionalities with Azure, and a versatile application platform. Begin by fortifying your organization's security framework right from the operating system. Expand your data center capabilities to Azure to achieve improved IT efficiency. Equip developers and IT professionals with a robust application platform designed for building and deploying a range of applications. Discover how using Azure can lead to significant cost reductions through programs like the Azure hybrid benefit and extended security updates. Transform your workloads using Azure, recognized as the reliable cloud solution for Windows Server. Seamlessly connect your on-premises Windows Servers to Azure via Azure Arc. Upgrade to the latest operating system to enjoy superior security, enhanced performance, and increased value. By leveraging Azure, you can now fully tap into the myriad advantages of cloud computing. Starting is free, enabling you to manage servers, clusters, hyper-converged infrastructure, and Windows 10 PCs effectively with Windows Server, making your transition to cloud services smoother and more efficient than ever before.

FlashGrid offers innovative software solutions aimed at boosting both the reliability and efficiency of critical Oracle databases across a range of cloud environments, such as AWS, Azure, and Google Cloud. By implementing active-active clustering through Oracle Real Application Clusters (RAC), FlashGrid guarantees an impressive 99.999% uptime Service Level Agreement (SLA), significantly reducing the risk of business interruptions that could arise from database outages. Their sophisticated architecture is designed to support multi-availability zone deployments, providing robust protection against potential data center failures and regional disasters. Additionally, FlashGrid's Cloud Area Network software enables the creation of high-speed overlay networks, complete with advanced features for high availability and performance management. Their Storage Fabric software plays a crucial role by converting cloud storage into shared disks that can be accessed by all nodes within a cluster. Furthermore, the FlashGrid Read-Local technology efficiently decreases storage network overhead by allowing read operations to be served directly from locally attached disks, ultimately leading to improved overall system performance. This comprehensive approach positions FlashGrid as a vital player in ensuring seamless database operations in the cloud.

StorMagic SvSAN is simple storage virtualization that eliminates downtime. It provides high availability with two nodes per cluster, and is used by thousands of organizations to keep mission-critical applications and data online and available 24 hours a day, 365 days a year. SvSAN is a lightweight solution that has been designed specifically for small-to-medium-sized businesses and edge computing environments such as retail stores, manufacturing plants and even oil rigs at sea. SvSAN is a simple, 'set and forget' solution that ensures high availability as a virtual SAN (VSAN) with a witness VM that can be local, in the cloud, or as-a-service, supporting up to 1,000 2-node SvSAN clusters. IT professionals can deploy and manage 1,000 sites as easily as 1, with Edge Control centralized management. It delivers uptime with synchronous mirroring and no single point of failure, even with poor, unreliable networks, and it allows non-disruptive hardware and software upgrades. Plus, SvSAN gives organizations choice and control by allowing configurations of any x86 server models and storage types, even mixed within a cluster, while vSphere or Hyper-V hypervisors can be used.

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).

Oracle Real Application Clusters (RAC) represents a distinctive and highly available database architecture designed for scaling both reads and writes seamlessly across diverse workloads such as OLTP, analytics, AI data, SaaS applications, JSON, batch processing, text, graph data, IoT, and in-memory operations. It can handle intricate applications with ease, including those from SAP, Oracle Fusion Applications, and Salesforce, while providing exceptional performance. By utilizing a unique fused cache across servers, Oracle RAC ensures the fastest local data access, delivering the lowest latency and highest throughput for all data requirements. The system's ability to parallelize workloads across CPUs maximizes throughput, and Oracle's innovative storage design facilitates effortless online storage expansion. Unlike many databases that rely on public cloud infrastructure, sharding, or read replicas for enhancing scalability, Oracle RAC stands out by offering superior performance with minimal latency and maximum throughput straight out of the box. Furthermore, this architecture is designed to meet the evolving demands of modern applications, making it a future-proof choice for organizations.

Atlassian Data Center serves as a self-managed enterprise solution that is crafted to deliver high availability, robust performance at scale, and versatile infrastructure options for essential Atlassian applications. It accommodates various products including Jira Software, Confluence, Bitbucket, Jira Service Management, Crowd, and Bamboo, empowering organizations to tackle intricate demands with its comprehensive enterprise-grade features. The Data Center offers the flexibility to deploy applications on proprietary hardware, within virtualized settings, or via cloud service platforms such as AWS and Azure. This adaptability enables businesses to advance their IT infrastructure while maintaining control and ensuring security. Among the significant advantages of Atlassian Data Center are its high availability through clustering, which guarantees continuous access to applications even during node failures, and its scalability, which permits organizations to seamlessly integrate additional nodes into their cluster without experiencing any downtime. Furthermore, this solution caters to enterprises aiming for both efficiency and reliability in their operational processes.

Proxmox VE serves as a comprehensive open-source solution for enterprise virtualization, seamlessly combining KVM hypervisor and LXC container technology, along with features for software-defined storage and networking, all within one cohesive platform. It also simplifies the management of high availability clusters and disaster recovery tools through its user-friendly web management interface, making it an ideal choice for businesses seeking robust virtualization capabilities. Furthermore, Proxmox VE's integration of these functionalities enhances operational efficiency and flexibility for IT environments.

Cisco Prime Network Registrar is a versatile and high-capacity solution designed to provide robust services for both Dynamic Host Configuration Protocol (DHCP) and Domain Name System (DNS), acting with authority as a DNS server while also functioning as a caching DNS. It dramatically boosts DNS query performance, capable of managing over 20,000 DHCP leases per second and seamlessly supporting more than 130 million devices across several servers within a single deployment. The system enhances server efficiency by balancing DHCP lease renewals, distributing loads strategically across clusters, and offers various deployment methods, including image downloads, Docker containers, VM OVA, QCOW2, or pre-configured appliances. To maintain operational reliability, it integrates multiple redundancy levels with both DHCPv4 and DHCPv6 failover capabilities, in addition to providing support for high-availability DNS (HA-DNS). Customizable dashboards are available to display the current status and operational trends of both DHCP and DNS services. The extensibility of this solution is notable, as it includes a robust extensions interface alongside REST APIs, empowering users to tailor functionalities to their specific needs. Overall, Cisco Prime Network Registrar stands out as a comprehensive tool for managing network services effectively.

Introducing Kubestone, the operator designed for benchmarking within Kubernetes environments. Kubestone allows users to assess the performance metrics of their Kubernetes setups effectively. It offers a standardized suite of benchmarks to evaluate CPU, disk, network, and application performance. Users can exercise detailed control over Kubernetes scheduling elements, including affinity, anti-affinity, tolerations, storage classes, and node selection. It is straightforward to introduce new benchmarks by developing a fresh controller. The execution of benchmark runs is facilitated through custom resources, utilizing various Kubernetes components such as pods, jobs, deployments, and services. To get started, refer to the quickstart guide which provides instructions on deploying Kubestone and running benchmarks. You can execute benchmarks via Kubestone by creating the necessary custom resources within your cluster. Once the appropriate namespace is created, it can be utilized to submit benchmark requests, and all benchmark executions will be organized within that specific namespace. This streamlined process ensures that you can easily monitor and analyze the performance of your Kubernetes applications.

You can set up the API Gateway using either the Tencent Cloud console or its APIs, eliminating the necessity for extra hardware during deployment. It is easily assembled as required, thanks to the comprehensive documentation offered by Tencent Cloud. This API Gateway provides visual monitoring alongside a robust array of operational capabilities, including resource management, tenant isolation, and access control, which alleviates the burden of extensive operational tasks. Additionally, the API Gateway supports cluster deployment, enabling swift failover for any malfunctioning gateway nodes to ensure consistent service reliability. Competitive pricing is a hallmark of the API Gateway, with billing based on both the volume of API calls and the traffic incurred. This makes it a cost-effective solution for businesses looking to optimize their operations.

ClusterVisor serves as an advanced system for managing HPC clusters, equipping users with a full suite of tools designed for deployment, provisioning, oversight, and maintenance throughout the cluster's entire life cycle. The system boasts versatile installation methods, including an appliance-based deployment that separates cluster management from the head node, thereby improving overall system reliability. Featuring LogVisor AI, it incorporates a smart log file analysis mechanism that leverages artificial intelligence to categorize logs based on their severity, which is essential for generating actionable alerts. Additionally, ClusterVisor streamlines node configuration and management through a collection of specialized tools, supports the management of user and group accounts, and includes customizable dashboards that visualize information across the cluster and facilitate comparisons between various nodes or devices. Furthermore, the platform ensures disaster recovery by maintaining system images for the reinstallation of nodes, offers an easy-to-use web-based tool for rack diagramming, and provides extensive statistics and monitoring capabilities, making it an invaluable asset for HPC cluster administrators. Overall, ClusterVisor stands as a comprehensive solution for those tasked with overseeing high-performance computing environments.

Windows Admin Center is a web-based management toolkit that is installed locally, allowing IT administrators to oversee Windows Servers, clusters, hyper-converged infrastructures, and Windows 10 or newer PCs without requiring an internet connection. It represents a contemporary advancement over traditional management tools such as Server Manager and Microsoft Management Console (MMC), providing a more cohesive and efficient user experience. This tool offers a centralized platform for managing various server environments, including physical, virtual, on-premises, and cloud-based servers, which simplifies tasks like configuration, troubleshooting, and ongoing maintenance. It effectively bridges on-premises installations with Azure, enabling hybrid management capabilities. This connection enhances the administration process by allowing users to access Azure services, including backup, disaster recovery, monitoring, and update management, directly from the Windows Admin Center interface. Additionally, the tool's user-friendly design promotes quicker task execution and better resource management for IT professionals.

Dqlite is a high-speed, embedded SQL database that offers persistent storage and utilizes Raft consensus, making it an ideal choice for resilient IoT and Edge devices. Known as "distributed SQLite," Dqlite expands SQLite's capabilities across multiple machines, ensuring automatic failover and high availability to maintain application uptime. It employs C-Raft, an optimized implementation of Raft in C, which provides exceptional performance in transactional consensus and fault tolerance while maintaining SQLite’s renowned efficiency and compact size. C-Raft is specifically designed to reduce transaction latency, enabling faster operations. Both C-Raft and Dqlite are implemented in C, ensuring they are portable across various platforms. Released under the LGPLv3 license with a static linking exception, it guarantees broad compatibility. The system features a standard CLI pattern for initializing databases and managing the joining or leaving of voting members. It also incorporates minimal, configurable delays for failover alongside automatic leader election processes. Additionally, Dqlite supports a disk-backed database option with in-memory capabilities and adheres to SQLite's transaction protocols. The blend of these features makes Dqlite a powerful solution for modern data storage needs.

Karpenter streamlines Kubernetes infrastructure by ensuring that the optimal nodes are provisioned precisely when needed. As an open-source and high-performance autoscaler for Kubernetes clusters, Karpenter automates the deployment of necessary compute resources to support applications efficiently. It is crafted to maximize the advantages of cloud computing, facilitating rapid and seamless compute provisioning within Kubernetes environments. By promptly adjusting to fluctuations in application demand, scheduling, and resource needs, Karpenter boosts application availability by adeptly allocating new workloads across a diverse range of computing resources. Additionally, it identifies and eliminates underutilized nodes, swaps out expensive nodes for cost-effective options, and consolidates workloads on more efficient resources, ultimately leading to significant reductions in cluster compute expenses. This innovative approach not only enhances resource management but also contributes to overall operational efficiency within cloud environments.

Utilize Apache HBase™ when you require immediate and random read/write capabilities for your extensive data sets. This initiative aims to manage exceptionally large tables that can contain billions of rows across millions of columns on clusters built from standard hardware. It features automatic failover capabilities between RegionServers to ensure reliability. Additionally, it provides an intuitive Java API for client interaction, along with a Thrift gateway and a RESTful Web service that accommodates various data encoding formats, including XML, Protobuf, and binary. Furthermore, it supports the export of metrics through the Hadoop metrics system, enabling data to be sent to files or Ganglia, as well as via JMX for enhanced monitoring and management. With these features, HBase stands out as a robust solution for handling big data challenges effectively.

Apache Helix serves as a versatile framework for managing clusters, ensuring the automatic oversight of partitioned, replicated, and distributed resources across a network of nodes. This tool simplifies the process of reallocating resources during instances of node failure, system recovery, cluster growth, and configuration changes. To fully appreciate Helix, it is essential to grasp the principles of cluster management. Distributed systems typically operate on multiple nodes to achieve scalability, enhance fault tolerance, and enable effective load balancing. Each node typically carries out key functions within the cluster, such as data storage and retrieval, as well as the generation and consumption of data streams. Once set up for a particular system, Helix functions as the central decision-making authority for that environment. Its design ensures that critical decisions are made with a holistic view, rather than in isolation. Although integrating these management functions directly into the distributed system is feasible, doing so adds unnecessary complexity to the overall codebase, which can hinder maintainability and efficiency. Therefore, utilizing Helix can lead to a more streamlined and manageable system architecture.

AWS ParallelCluster is a free, open-source tool designed for efficient management and deployment of High-Performance Computing (HPC) clusters within the AWS environment. It streamlines the configuration of essential components such as compute nodes, shared filesystems, and job schedulers, while accommodating various instance types and job submission queues. Users have the flexibility to engage with ParallelCluster using a graphical user interface, command-line interface, or API, which allows for customizable cluster setups and oversight. The tool also works seamlessly with job schedulers like AWS Batch and Slurm, making it easier to transition existing HPC workloads to the cloud with minimal adjustments. Users incur no additional costs for the tool itself, only paying for the AWS resources their applications utilize. With AWS ParallelCluster, users can effectively manage their computing needs through a straightforward text file that allows for the modeling, provisioning, and dynamic scaling of necessary resources in a secure and automated fashion. This ease of use significantly enhances productivity and optimizes resource allocation for various computational tasks.

You determine the cluster size, node specifications, and a range of services, while Yandex Data Proc effortlessly sets up and configures Spark, Hadoop clusters, and additional components. Collaboration is enhanced through the use of Zeppelin notebooks and various web applications via a user interface proxy. You maintain complete control over your cluster with root access for every virtual machine. Moreover, you can install your own software and libraries on active clusters without needing to restart them. Yandex Data Proc employs instance groups to automatically adjust computing resources of compute subclusters in response to CPU usage metrics. Additionally, Data Proc facilitates the creation of managed Hive clusters, which helps minimize the risk of failures and data loss due to metadata issues. This service streamlines the process of constructing ETL pipelines and developing models, as well as managing other iterative operations. Furthermore, the Data Proc operator is natively integrated into Apache Airflow, allowing for seamless orchestration of data workflows. This means that users can leverage the full potential of their data processing capabilities with minimal overhead and maximum efficiency.

The Dialogic® PowerVille™ LB is a cloud-ready, high-performance software-based load balancer specifically engineered to tackle the complexities of modern Real-Time Communication infrastructures used in both enterprise and carrier environments. It provides automatic load balancing capabilities for various services, such as database, SIP, Web, and generic TCP traffic, across multiple applications in a cluster. With features like high availability, intelligent failover, and awareness of call states and context, it significantly enhances system uptime. This efficient load balancing and resource allocation minimize costs while ensuring that reliability is not compromised. The system's software agility, coupled with a robust management interface, streamlines operations and maintenance, ultimately lowering overall operational costs. Additionally, its design allows for seamless integration into existing frameworks, making it an adaptable solution for evolving network demands.

Storidge was founded on the principle that managing storage for enterprise applications should be straightforward and efficient. Our strategy diverges from the traditional methods of handling Kubernetes storage and Docker volumes. By automating the storage management for orchestration platforms like Kubernetes and Docker Swarm, we help you save both time and financial resources by removing the necessity for costly expertise to configure and maintain storage systems. This allows developers to concentrate on crafting applications and generating value, while operators can expedite bringing that value to market. Adding persistent storage to your single-node test cluster can be accomplished in mere seconds. You can deploy storage infrastructure as code, reducing the need for operator intervention and enhancing operational workflows. With features like automated updates, provisioning, recovery, and high availability, you can ensure your critical databases and applications remain operational, thanks to auto failover and automatic data recovery mechanisms. In this way, we provide a seamless experience that empowers both developers and operators to achieve their goals more effectively.

The Corosync Cluster Engine serves as a robust group communication system equipped with features that facilitate high availability for various applications. This initiative offers four distinct application programming interface capabilities in C. It includes a closed process group communication model that ensures extended virtual synchrony, allowing for the creation of replicated state machines; a straightforward availability manager designed to restart application processes upon failure; an in-memory database for configuration and statistics that enables the setting, retrieval, and notification of changes in information; and a quorum system that alerts applications when a quorum is either established or lost. Our framework is utilized by several high-availability projects, including Pacemaker and Asterisk. We continuously seek developers and users who are passionate about clustering and wish to engage with our project, encouraging a collaborative environment for innovation and improvement.