Oracle Exadata is a massive investment in performance. But this engineered system can't fix bad SQL. SolarWinds® Database Performance Analyzer (DPA) gives you deep observability into performance issues, helping you optimize every workload and maximize the return on investment of your Oracle Exadata system.
An Oracle Exadata machine produces a mountain of metrics. Native tools such as Enterprise Manager (EM) or raw Automatic Workload Repository (AWR) reports show you everything—but not necessarily what's important. It's easy to get lost tracking CPU or I/O requests with no impact on end-user experience.
DPA cuts through the noise. It's built on wait time analysis, focusing all its diagnostics on one simple metric: the time it takes to get data to your users. Our clear dashboard shows you real-time and historical performance, pinpointing the exact SQL statements, wait events, and bottlenecks causing slowdowns.
Stop guessing and start fixing the root cause of your database performance problems. DPA anomaly detection also uses machine learning to understand your system's normal behavior, ensuring you get alerted to real problems, not random spikes.
DPA provides unique observability into the core of your Exadata Database Machine. We don't simply show you I/O is slow; we show you why it's slow, using specific metrics for Exadata components. You can instantly see your Flash Cache Hit Ratio to verify your hottest data is being served correctly from the Flash Cache. DPA also tracks critical latency metrics such as Cell Multiblock Physical Read Latency, Cell Single Block Physical Read Latency, and Cell Smart Table Scan Latency.
Use this data to isolate performance issues down to the Exadata Storage Server layer, separating them from operating system (OS) or network noise. This level of detail is essential for true troubleshooting on an Oracle Exadata system. DPA also provides full support for Oracle Real Application Cluster (RAC) environments, letting you analyze interconnect latency and Global Cache Services processes.
The smart design in Exadata Storage Server comes from features such as Smart Scans, which offload query processing from the database servers to the storage cells. But how do you know if it's working? Badly written SQL or poor configuration can cause queries to bypass this feature, flooding your database servers with I/O that should have been filtered at the source.
DPA performance monitoring tracks the efficiency of your Smart Scans. It calculates the percentage of physical I/O saved through offloading to the storage servers. This critical metric shows you, in plain English, whether your most expensive feature is being used. When you find inefficient SQL, DPA tuning and query advisors provide expert guidance to help you rewrite queries and take full advantage of the Exadata performance you paid for.
Your Oracle Exadata environment powers mission-critical online transaction processing and analytics workloads, but finding the root cause of performance issues can be difficult. Is the slowdown in Oracle RAC, the Linux OS, or the storage layer? DPA delivers database monitoring far beyond basic health checks.
Gain visibility into real-time metrics across your database servers and storage cells without getting lost in the noise. You can instantly track I/O operations per second, throughput, and bottlenecks to see exactly where resources are constrained. With smart notifications to alert you before users complain, DPA simplifies performance tuning. It connects hardware statistics with application performance, giving you the comprehensive data needed to optimize your entire Oracle Exadata system.
Do you find yourself asking...
Oracle Exadata performance monitoring involves collecting and analyzing metrics from the entire Exadata engineered system. This includes the database servers, the Exadata Storage Servers (cells), and the unique software features that connect them.
Effective monitoring tracks not only standard Oracle database metrics (such as CPU, wait events, and SQL workload) but also Exadata-specific data such as Smart Scans efficiency, Flash Cache hit rates, and cell-level I/O requests and latency. The goal is to identify bottlenecks and find the root cause of performance issues, whether they're in the hardware, the database configuration, or the SQL code itself.
Oracle Exadata performance monitoring involves collecting and analyzing metrics from the entire Exadata engineered system. This includes the database servers, the Exadata Storage Servers (cells), and the unique software features that connect them.
Effective monitoring tracks not only standard Oracle database metrics (such as CPU, wait events, and SQL workload) but also Exadata-specific data such as Smart Scans efficiency, Flash Cache hit rates, and cell-level I/O requests and latency. The goal is to identify bottlenecks and find the root cause of performance issues, whether they're in the hardware, the database configuration, or the SQL code itself.
Database Performance Analyzer for Oracle