UpBeat Performance Explorer-i
Automated Database Performance Analysis and Problem Diagnosis
UpBeat Performance Explorer-i delivers automated performance analysis and diagnosis of Oracle, Oracle RAC and Oracle DataGuard performance problems in production databases using Oracle AWR, ASH or Oracle Statspack performance data repository. Its comprehensive analysis and reports are based on patented analytics to bring unprecedented precision to the analysis tasks, combined with negligible impact on the database systems being analyzed.
Enteros UpBeat Performance Explorer-i demonstrated 200%+ ROI when used together with Oracle OEM Diagnostics and Tuning Packs within 10% of the OEM cost.
Identify areas of performance spikes and degradations using patented analysis technology that reduces analysis time from hours or days to less than a minute
Detailed change impact analysis on cause of performance and availability problems with immediate drilldown into detailed information.
Visualize performance metrics across multiple databases or multiple nodes of a RAC cluster. Access DLM statistics, RAC system statistics, or RAC latch information with a single click.
Enable root cause analysis of DataGuard performance using DataGuard statspack on ADG Standbys. Analyze data replication performance and bottlenecks.
Pinpoint problematic SQL using Advanced Top SQL Search enforced with DML and SQL pattern search filters. Drill Down to the level of individual SQL queries to determine how a change in different SQL characteristics is affecting the system. Similar queries can be aggregated to display cumulated impact on system performance.
Navigate summary and detail information on system statistics, wait events, latches, SQL and other performance data efficiently and effectively. Eliminate painful eyeballing across Statspack and AWR reports when time to resolution is critical.
Analyze heterogeneous database environments with built-in support for multiple commercial database systems and multiple versions of the same commercial DBMS. Perform problem and root cause analysis across multiple instances or multiple databases.
Visualize tens of thousands of data points in a few seconds. Instantly superimpose current and historical time periods to identify seasonal performance patterns and more.
Clearly identify trends in database performance with smoothing (averaging) filters and linear regression models. Use trending projections to facilitate capacity planning.
Run analysis in batch and in parallel across hundreds of databases.
Gain a single-page view of the most important database performance metrics. Use the historical data overlay to immediately discover changes in database performance through visual inspection.
Accelerate your change root cause analysis with this report highlighting recent changes made to the database that may be affecting performance. Performance Explorer-i detects changes from new code deployments and upgrades – official or otherwise.
Determine immediate threats to database stability and potential performance bottlenecks. View excessive active sessions, latch connections, RAC-related resource contention, slow I/O (for both random and sequential data access), and excessive query parallelism in the database.
Gain a holistic view of all changes that occurred over a specific time period, including changes in SQL statistics, newly introduced SQL, changed SQL plans, system statistics, wait events, latches, and more. Customize change reports by selecting time intervals for snapshot and baseline, change thresholds, and report details. Create a library of customized snapshots for fast, single-click generation.
Find performance problems quickly using your eyes. View graphical representations of changes in key database metrics, including system statistics, wait events, latches, enqueues, segment I/O, datafile I/O, “Undo” tablespace I/O, rollback segments I/O, dictionary cache, library cache, and customer user SQL.
Instantly generate HTML graphical reports using ChartBag Reporting Module. Report Templates can be saved and run in batch mode for continuous web publishing.