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SUSE Linux Enterprise High Availability Extension

An industry-leading open source high availability clustering system designed to virtually eliminate unplanned downtime, be easy to use and be deployed in both physical and virtual environments.

Also included is Geo Clustering for SUSE Linux Enterprise High Availability Extension, designed to manage cluster servers in data centers anywhere in the world. High availability clustering helps to minimize data loss due to corruption or failure by protecting your data assets using your existing IT infrastructure.

High availability clustering is used to automate application and data recovery. You can use our flexible, policy-driven clustering solution to implement highly available Linux clusters and eliminate single points of failure. Your servers are continuously monitored, and when a fault or failure occurs, the workload is transferred from one server to another, or the application is automatically restarted on a known working system. This helps you maintain business continuity and minimize unplanned downtime.

Find out what’s new in the latest release notes ›

Key Features

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.

Setup, administration, management and monitoring—save time by easily managing clustered Linux servers with a powerful unified interface to quickly and easily install, configure and manage clusters, plus a simple, user-friendly tool for monitoring the clustered environment.

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.

Cluster-aware file system and volume management for optimized performance.

Virtualization aware for managing virtual clusters as well as physical clusters.

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Tech Specs

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

Minimum Linux server system 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

DOCUMENTATION

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Take an In-depth Look at the Product

Success Stories

Biological E. Ltd. Success Story

Cut IT expenditure by 50 percent through lower investment, licensing and maintenance costs
Delivered 99.9 percent uptime for mission-critical SAP applications
Ensures that business continues as usual in the event of downtime with near-instant failover capabilities

Lulu Group Success Story

Cut the cost of growth by 20 percent by migrating from proprietary OS and hardware
Improved availability, security and performance while reducing costs
Gained a high-performance platform for business analytics

Oxya Success Story

Increased availability for hosted SAP environments
Decreased costs for operating system licenses and support
Delivered TCO savings of up to 80 percent

Nimble Group Success Story

Supported rapid business growth with a highly scalable telephony solution
Deployed advanced clustering technologies to maximize availability
Used open source software to achieve cost savings of 75 percent versus comparable proprietary solutions