Oracle Performance Tuning

One of the key reasons for choosing the Oracle database is its' superior performance. Oracle is the market leader when it comes to companies getting more out of their systems as they offer performance without sacrificing security, availability or integrity. With each new release of Oracle comes a variety of new features designed to allow improved performance from an existing system. However, inevitably with this rapid pace of change it is nearly impossible for those involved in the day-to-day operations of a database to stay up to date with all of the features and facilities available to them.

Building on Our experience

At Databloom, we have built our business around deep knowledge, and the extensive experience of our consultants, in Oracle and all of the features it makes available to users. The Databloom Performance Tuning service enables us to share this experience with our customers to ensure that they achieve maximum performance from their systems.

Targeted or Holistic

No matter whether you are targeting a specific area, such as the nightly batch process, or just looking to get the best out of the system in general, the Databloom Performance Tuning service can help.

Among the services we offer:
Problematic SQL statement identification and tuning
Batch run analysis
PL/SQL tuning services
RAC tuning
Resource contention identification
Recommendations of new features

Capacity Management / Getting Back Headroom

Over the last few decades, as CPU processing power has grown, many organizations "resolved" performance issues by throwing new, improved CPU's at applications. As we now move into an era of less pronounced growth in CPU speed, and a move to multi-core architectures many find system bottlenecks by I/O or other factors.

The Databloom Performance Tuning service is an ideal complement to any hardware refresh consideration. By making sure the database is performing optimally, more intelligent decisions can be made on hardware purchase, or consolidation exercises. The impact of a fresh set of eyes can be surprising; working with one client we reduced the average CPU utilization from 95% to less than 50%, as well as reducing average IO operations.