db2 hadr feature

ZDNet Resources

• sort by:
• Relevance
• Date
• Popularity

DB2 9 HADR: Build a Standby Database Using SnapMirror and Create a Read/Write Copy of the Standby Using FlexClone

The DB2 HADR feature provides immense data protection from both partial and full site failures. In case of failure, the standby database can be made available to clients across the network until the primary database is repaired and returned to service. Recovery may include recovery from corruption, natural disaster at...

Tags: Standby, IBM DB2, DB2 HADR Feature, Standby Database, Storage, Databases, Disaster Recovery, Hardware, Enterprise Software, Software, Data Management

White papers 2007-01-22

Additional Resources

Automated Cluster Controlled HADR (High Availability Disaster Recovery) Configuration Setup Using the IBM DB2 High Availability Instance Configuration Utility (db2haicu)

Db2haicu is a tool available with DB2 9.5 and stands for the "DB2 High Availability Instance Configuration Utility". This utility takes in user input regarding the software and hardware environment of a DB2 instance, and configures the instance for High Availability using the TSA Cluster Manager. During this configuration process,...

Tags: High Availability, IBM DB2, IBM Corp., Db2haicu, Databases, Enterprise Software, Software, Data Management

White papers 2008-05-28

Automating DB2 HADR Failover on Linux Using Tivoli System Automation for Multiplatforms

This paper will guide reader through the implementation of an automated IBM DB2 Universal DataBase (DB2 UDB) failover solution. The solution will be based on a combination of the High Availability Disaster Recovery HADR feature in DB2 UDB V8.2 and IBM Tivoli System Automation for Multiplatforms IBM Tivoli SAM. The...

Tags: Linux, Failover, IBM DB2 Universal Database, IBM DB2, IBM Corp., Automation, Databases, Enterprise Software, Software, Data Management

White papers 2006-08-01

Database Availability Comparison

There has been an increase in misleading advertising about the availability characteristics of DB2 (both on the z/OS platform as well as on the Linux, UNIX, and Windows platform). Rather than examining a set of feature and functions that one may or may not use when comparing the products, this...

Tags: IBM z/OS, IBM DB2, Linux, Operating Systems, Microsoft Windows, Databases, Utility Computing, Enterprise Software, UNIX, Servers, Software, Data Management, Hardware

White papers 2005-12-01

Automating DB2 Universal Database (DB2 UDB) HADR Failover Using Heartbeat for Linux

This paper describes the implementation of an automated IBM DB2 Universal Database (DB2 UDB) failover solution. This solution is based on a combination of the High Availability Disaster Recovery HADR feature in DB2 UDB Version 8.2 and the open source Linux-HA project Heartbeat on the Linux platform. This paper also...

Tags: Linux, Failover, IBM DB2 Universal Database, IBM DB2, Databases, Enterprise Software, Software, Data Management

White papers 2005-11-01

Automating IBM DB2 UDB HADR With HACMP

DB2 HADR is a data replication feature that provides a high availability solution for both partial and complete site failures. DB2 HADR is designed for quick failover, easy setup, and manageability. This paper describes how to automate IBM DB2 Universal Database High Availability Disaster Recovery Option takeover in an High-Availability...

Tags: IBM DB2 Universal Database, IBM DB2, IBM Corp., DB2 HADR, Databases, Enterprise Software, Software, Data Management

White papers 2005-08-30

Technical Comparison of DB2 HADR and Oracle Data Guard

Universal Database with its High Availability Disaster Recovery HADR feature was compared with Oracle Real Application Clusters RAC. In that analysis, DB2 was shown to deliver equal or better availability for considerably lower costs, with a total solution that is easier to manage, and delivers better performance. This paper will...

Tags: Oracle Corp., High Availability, IBM DB2, Oracle Real Application Cluster, Blade Servers, Databases, Enterprise Software, Servers, Hardware, Software, Data Management

White papers 2005-03-01