Automated Multi-Target Disaster Recovery for SAP HANA
Key Takeaways
⇨ ERP System Complexity: ERP systems like SAP integrate essential business functions, requiring high availability (HA) and disaster recovery (DR) strategies to ensure 99.99% uptime, necessitating every component in the IT stack to be operational and compatible.
⇨ Challenges of HA and DR: Implementing HA and DR for SAP HANA involves managing complex failover and replication processes, often requiring extensive manual scripting and coordination among specialized IT teams to maintain SAP best practices during failures.
⇨ SIOS LifeKeeper Solution: SIOS LifeKeeper for Linux automates HA/DR processes for SAP HANA, simplifying failover, replication management, and disaster recovery testing, while providing near-zero downtime maintenance and optimizing performance both on-premises and in the cloud.
As organizations increasingly rely on SAP HANA as a critical component of their business operations, it is essential to ensure high availability and robust disaster recovery capabilities for SAP HANA environments. This white paper explores the challenges associated with implementing a comprehensive disaster recovery strategy for SAP HANA and presents an innovative solution: Automated Multi-Target Disaster Recovery.
ENTERPRISE RESOURCE PLANNING
(ERP) systems like SAP are some of an organization’s most critical systems. They integrate core business functions, sales, inventory, finance, and payroll. They comprise several interdependent software modules, including the SAP application, support services such as ASCS ERS, and the SAP HANA database. The criticality of these systems compel IT administrators to implement reliable high availability (99.99% uptime) and disaster recovery strategies.
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The Complexity of High Availability and Disaster Recovery
Applications run at the top of the so-called IT stack, making them intrinsically complicated to protect. For applications to be available, every component in the stack also needs to be operational, compatible, and available, including the network, storage, server hardware, operating system, application, and related software.
To provide high availability (HA), companies run these applications and/or modules on a primary server and use HA clustering solutions to detect failures and orchestrate the failover of application operation to a secondary server. At the same time, data stored on the primary server is replicated to a secondary server so, in the event of a failure, the operation can continue with a recovery point of zero. When a third or fourth node is added for disaster recovery (DR), replication must be managed and integrated to ensure all data stays in sync and protected before, during and after failover.
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