NetApp MetroCluster Description
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.
NetApp MetroCluster Alternatives
Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.
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SafeKit
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.
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SUSE Linux Enterprise High Availability
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.
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Company:
NetApp
Year Founded:
1992
Headquarters:
United States
Website:
docs.netapp.com/us-en/ontap/concepts/mcc-config-concept.html
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