IBM Improves Transaction Monitoring in Tivoli

Thanks to major advancements in its autonomic computing technology,
IBM has updated its Tivoli management software, offering
customers a map that identifies failures in Web transactions.

IBM Tivoli Monitoring for Transaction Performance 5.3 allows organizations
to see business transactions as they flow through an IT environment, as well
as discover what systems the transactions use. The software then provides
response times for each step.

As distributed computing environments become more
complex, the importance of seeing transactions is
compounded by the sheer number of them, particularly in financial
services scenarios.

IBM’s goal is to help customers detect performance bottlenecks
across the entire system, which is an important function of the company’s autonomic,
or self-healing, computing strategy.

Rooted in a project called Eliza, autonomic computing is considered to be a
keystone technology in Big Blue’s on-demand strategy for letting
computing systems manage themselves quickly, on the fly, and with as little
human intervention as possible.

Because this frees up administrators to focus on other tasks, IBM sells
on-demand computing as an architecture that saves enterprises time and
money. Other vendors, such as Microsoft , Sun
Microsystems and HP have acquired or
developed technologies that perform similar automation functions.

IBM is receiving support for the product from partner
Siebel, which has integrated Tivoli Monitoring for Transaction Performance
into Siebel Server 7.7.

IBM and Siebel co-created Siebel’s Application Response
Measurement, a standard that profiles the time spent by each user request in
the different layers of the Siebel Smart Web Architecture, to work with the
new Tivoli tool.

This will help customers better monitor and diagnose problems in their
Siebel applications, said Skip Bacon, vice president of technology at
Siebel, in a statement.

Tivoli Monitoring for Transaction Performance 5.3 has been expanded to view
Web services , Web servers, IBM CICS, IBM IMS, IBM DB2
and SAP back-end services, as well as network delays between
ARM-instrumented nodes. The new software also lets users group single
transactions into a set of policy groups to boost usability in large
computing systems.

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