Geo Clustering for SUSE Linux Enterprise High Availability Extension
Key Features
Flexible, policy-driven clustering and continuous data replication—boost flexibility while improving service availability and resourc...
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Rules-based failover for automatic and manual transfer of a workload to another cluster outside of the affected area. Your mission-cr...
Read More ›
Multi-tenancy can be used to manage geo clusters per business needs...
Read More ›
Flexible, policy-driven clustering and continuous data replication—boost flexibility while improving service availability and resource utilization by supporting the mixed clustering of both physical and virtual Linux servers. Protect workloads across globally distributed data centers
Rules-based failover for automatic and manual transfer of a workload to another cluster outside of the affected area. Your mission-critical workloads are transferred away from the affected region to continue to run and protect workloads across globally-distributed data centers against regional disruptive events
Multi-tenancy can be used to manage geo clusters per business needs
Mixed clustering of both physical and virtual Linux servers to boost flexibility while improving service availability and resource ut...
Read More ›
HAProxy is a very fast and reliable solution that offers high availability, load balancing and proxying for TCP and HTTP-based applic...
Read More ›
Continuous data replication across cluster servers in data centers anywhere in the world and minimize data loss due to corruption or ...
Read More ›
Flexible, policy-driven clustering and continuous data replication—boost flexibility while improving service availability and resource utilization by supporting the mixed clustering of both physical and virtual Linux servers. Protect workloads across globally distributed data centers
Rules-based failover for automatic and manual transfer of a workload to another cluster outside of the affected area. Your mission-critical workloads are transferred away from the affected region to continue to run and protect workloads across globally-distributed data centers against regional disruptive events
Multi-tenancy can be used to manage geo clusters per business needs
Mixed clustering of both physical and virtual Linux servers to boost flexibility while improving service availability and resource utilization
HAProxy is a very fast and reliable solution that offers high availability, load balancing and proxying for TCP and HTTP-based applications by spreading requests across multiple servers. It complements the Linux virtual server load balancer
Continuous data replication across cluster servers in data centers anywhere in the world and minimize data loss due to corruption or failure by protecting your data assets using your existing IT infrastructure. Achieve maximum protection for workloads that can never have unplanned downtime
Distributed Replicated Block Device (DRBD) is a leading open source networked disk management tool, enabling you to build single part...
Read More ›
Flexible, policy-driven clustering and continuous data replication—boost flexibility while improving service availability and resource utilization by supporting the mixed clustering of both physical and virtual Linux servers. Protect workloads across globally distributed data centers
Rules-based failover for automatic and manual transfer of a workload to another cluster outside of the affected area. Your mission-critical workloads are transferred away from the affected region to continue to run and protect workloads across globally-distributed data centers against regional disruptive events
Multi-tenancy can be used to manage geo clusters per business needs
Mixed clustering of both physical and virtual Linux servers to boost flexibility while improving service availability and resource utilization
HAProxy is a very fast and reliable solution that offers high availability, load balancing and proxying for TCP and HTTP-based applications by spreading requests across multiple servers. It complements the Linux virtual server load balancer
Continuous data replication across cluster servers in data centers anywhere in the world and minimize data loss due to corruption or failure by protecting your data assets using your existing IT infrastructure. Achieve maximum protection for workloads that can never have unplanned downtime
Distributed Replicated Block Device (DRBD) is a leading open source networked disk management tool, enabling you to build single partitions from multiple disks that mirror each other and make data highly available. You can also quickly restore your clustered services via its fast data resynchronization capabilities. DRBD mirrors the data from the active node of a high availability cluster to its standby node. DRBD supports both synchronous and asynchronous mirroring. In the event of an outage, DRBD automatically resynchronizes the temporarily unavailable node to the latest version of data, without interfering with the service that is running. Additionally, DRBD includes data compression algorithms that reduce replication times.
Flexible, policy-driven clustering and continuous data replication—boost flexibility while improving service availability and resource utilization by supporting the mixed clustering of both physical and virtual Linux servers. Protect workloads across globally distributed data centers
Rules-based failover for automatic and manual transfer of a workload to another cluster outside of the affected area. Your mission-critical workloads are transferred away from the affected region to continue to run and protect workloads across globally-distributed data centers against regional disruptive events
Multi-tenancy can be used to manage geo clusters per business needs
Mixed clustering of both physical and virtual Linux servers to boost flexibility while improving service availability and resource utilization
HAProxy is a very fast and reliable solution that offers high availability, load balancing and proxying for TCP and HTTP-based applications by spreading requests across multiple servers. It complements the Linux virtual server load balancer
Continuous data replication across cluster servers in data centers anywhere in the world and minimize data loss due to corruption or failure by protecting your data assets using your existing IT infrastructure. Achieve maximum protection for workloads that can never have unplanned downtime
Distributed Replicated Block Device (DRBD) is a leading open source networked disk management tool, enabling you to build single partitions from multiple disks that mirror each other and make data highly available. You can also quickly restore your clustered services via its fast data resynchronization capabilities. DRBD mirrors the data from the active node of a high availability cluster to its standby node. DRBD supports both synchronous and asynchronous mirroring. In the event of an outage, DRBD automatically resynchronizes the temporarily unavailable node to the latest version of data, without interfering with the service that is running. Additionally, DRBD includes data compression algorithms that reduce replication times.
Find out what's new in the latest release notes
Tech Specs
Minimum Hardware Requirements
- Local installation: 512 MB RAM, 512 MB Swap recommended
- 2 GB available disk space (more recommended, 8.5 GB for all patterns)
- 16 GB for snapshot/rollback of the OS
Recommendations for specific uses
- 512 MB to 4 GB RAM, at least 256 MB per CPU
- 44 GB hard disk space, 16 GB for snapshot/rollback of the OS
- Network interface (ethernet, wireless or modem)
- Network redundancy
- I/O fencing mechanism and possibly shared storage
- For Xen virtual host server, at least 512 MB RAM for each virtual host server
- For KVM virtual host server, KVM's limits are equal to those of SUSE Linux Enterprise Server
- For Xen or KVM virtual machines, at least an additional 256 MB RAM for each virtual machine
- For print servers, a relatively faster processor or additional processors to improve server-based printing
- For web servers, additional RAM to improve caching, and additional processors to improve web application performance
- For database servers, additional RAM to improve caching, and using multiple disks for parallel I/O
- For file servers, additional memory and disks, or a Redundant Array of Inexpensive Disks (RAID) system to improve I/O throughput
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