IDERA Precise

End-to-end app and database performance monitoring with actionable workflows.
4.3 
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Start your day by opening Precise and asking a simple question: where did time go? The landing view highlights the slowest business flows and shows where latency accumulates across the web tier, app servers, virtual machines, storage, and the database. Click any hot spot to open a transaction trace with call timings, waits, locks, network hops, and disk activity laid out step by step. From there, you can take action: kill a runaway session, raise a connection pool limit, recycle a stuck JVM, or trigger a scale-out script. Attach trace evidence to a ticket directly from the product so dev, ops, and DBA teams start with the same facts instead of guesswork.

For database-heavy systems, switch to the SQL lens to isolate expensive statements by time window, program, user, or module. Compare execution plans, bind values, and wait events to understand whether contention, I/O, or bad cardinality is behind the slowdown. Try index or hint scenarios safely with what‑if analysis before touching production. When a PeopleSoft payroll run, SAP batch job, or custom Oracle package overruns, jump to historical baselines, review the last known good plan, and see exactly when a regression began. After a fix, validate outcomes with before/after charts and lock in the improvement with a saved report for auditors or leadership.

During releases, run synthetic journeys that mimic real buyers or employees through checkout, approval, and reporting paths. Watch real sessions in parallel to capture variations by browser, device, or location. Track APIs for availability and latency, and confirm mobile responsiveness holds under load. Precise keeps an eye on supporting elements too—SSL expiration, uptime from multiple regions, and response distributions—so you aren’t surprised by edge conditions. Set notifications you can trust: policy‑based alerts, quiet hours, and routing by team or service. Push incidents to ServiceNow or Jira, include the trace link, and auto‑assign based on the failing tier to cut MTTR.

For ongoing governance, build role‑specific views: an executive rollup for business service health, an SRE panel for saturation and error budgets, and a DBA screen focused on top waits. Use trend analysis to forecast capacity by tier and plan hardware or cloud spend before peaks arrive. Map dependencies to see which apps share the same storage pool or virtual host and schedule maintenance without collateral damage. Define SLAs and SLOs, track adherence over time, and export reports that satisfy compliance. When you need a quiet window, place a service in maintenance mode so metrics continue but noisy alerts do not. With Precise in place, your team moves from chasing outages to running standard, repeatable workflows that keep applications fast and reliable.

Review summary

Features

  • End-to-end transaction tracing across web, app, VM, storage, and database tiers
  • Real-user session capture with device, browser, and location context
  • Synthetic workflow monitoring for critical business paths
  • Deep SQL analytics with plan comparison and wait-event breakdown
  • Historical baselining and regression detection
  • Topology and dependency mapping of services and infrastructure
  • Policy-based alerting with quiet hours and routing by ownership
  • Dashboards tailored for executives, SREs, and DBAs
  • Capacity forecasting and trend analysis
  • Maintenance windows with alert suppression
  • SLA/SLO definition and compliance reporting
  • API health checks and latency tracking
  • SSL/TLS expiry monitoring
  • Multi-region uptime and response distribution monitoring
  • Ticketing integrations (e.g., ServiceNow, Jira) with trace attachments
  • Scripted remediation and scale-out triggers

How It’s Used

  • Morning incident triage using the heat map to pinpoint the slowest tier
  • Resolving lock contention by drilling into waits and blocking sessions
  • Tuning Oracle queries with plan diffs and bind-aware analysis
  • Validating a release by comparing synthetic runs before and after deploy
  • Tracking mobile user experience during seasonal traffic spikes
  • Catching API degradations early with threshold-based alerts
  • Preventing outages by acting on SSL expiry and uptime trends
  • Planning capacity ahead of a major marketing campaign
  • Coordinating maintenance by mapping shared infrastructure dependencies
  • Producing SLA reports for leadership and compliance audits

Plans & Pricing

Idera Precise

Custom

End-to-End Transaction Visibility
Recommended Corrective Actions
Historical Analysis and Trending
Performance Management Database
Scalable Performance
Multi-Platform Support
Comprehensive Dashboard

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