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This
dimension deals with the operational management of
services. This is more
than simple monitoring and alerting of availability of
the underlying systems as is traditionally associated
with enterprise systems management.
The most advanced organizations will leverage
operational management capabilities for a competitive
advantage, feeding operational metrics back into the
system in a “closed-loop” effort to
continually improve them.
It begins, however, with traditional capabilities of
collecting metrics, providing reports, and
establishing appropriate monitoring and alerting.
Level
0: Ad Hoc
At
this level, there are no specific techniques used for
the operational management of services.
Management is focused on the underlying infrastructure
including physical servers, application servers, etc.
Level
1: Common Goals
At
this level, the operational management architecture is
documented, and a roadmap put in place.
At this early stage, it is likely that existing
technologies that provide some value in a services
environment, such as HTTP monitoring, will be
leveraged. This management
will largely be focused on the operational staff.
Level
2: Foundation
At
this level, the organization should have be piloting
reports for service consumers and services providers. The centralized team should be
receiving these reports, as well as actively
monitoring the services environment in real-time via
service-specific technologies.
Level
3: Method and Governance
The
distribution of the information obtained from the
operational management systems is now distributed to a
wider audience. The
centralized group takes on a governing role where they
assist service managers and service consumer managers
in the analysis of the results and how that
information should be leveraged in future plans. A formal approach to
capacity management should be established, including
clear identification of the roles and responsibilities
involved with bringing new consumers into production.
Level
4: Service-Oriented Enterprise
At
this level, the information obtained from the
operational management systems is now fully leveraged
by the IT staff. Troubleshooting
is done efficiently. The IT staff looks for trends in
service utilization, allowing them to determine future
areas for improvement. The
information is also shared with the business, with a
pilot effort to leverage business intelligence
technology by analyzing the content of service
messages that occur in the environments.
Events are now leveraged within the IT infrastructure
to automatically adjust the configuration of the
environment in an adaptive fashion.
Level
5: Optimized
Operational
management is no longer an IT domain, but rather a
business domain. The same
technologies that provide system metrics and events
now provide business metrics and events, feeding into
the business process management and business
intelligence systems. Predictive
analysis can be formed with the results fed back into
the underlying technology solutions for advanced
capabilities and business advantage.
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