Tutorials
Hands-on tutorials and scenario guides for admins, developers, and SREs who just installed WhaTap. We offer two paths: a fast-start path and a path to integrate WhaTap into your operations. For reference-style content on the meaning of metrics, see Metrics guide.
Get started fast
For users who value low friction and quick results. Feel the value right after installing, and let AI handle analysis when needed.
Quick wins
Essential work to double the value you feel within the first week of installation. Don't just leave the agent running—attach your first alert and set up a dashboard the team checks every day.
Attach your first alert
Configure a default alert rule in 5 minutes to get notified via Slack or Email when metrics go off.
Learn more →Share a dashboard with your team
Invite team members and share a default dashboard to create a shared observability point in 5 minutes. Role-based permissions summarized too.
Learn more →Configure anomaly reception
Set up per-team alert routing with event reception tags in 5 minutes—the technical foundation for on-call rotation.
Learn more →AI analysis with no learning
Even if you cannot read stack dumps or navigate menus, AI analyzes and delivers results. Get deep analysis immediately without learning scenarios or metrics first.
Using AI stack/trace analysis
AI automatically analyzes the active stack and surfaces performance issues like deadlocks and I/O waits with severity.
- Automatic High/Medium/Low severity classification
- Common patterns and recommendations
- Useful immediately for users without stack experience
Using AI thread dump analysis
AI analyzes the thread dump and presents lock contention, blocking, and wait issues with state distribution.
- Automatic thread state distribution
- Lock contention and blocking detection
- Re-opening a completed analysis does not consume credits
Using the AI SQL tuning guide
AI analyzes the query and execution plan and suggests improvement directions along with expected reduction ratios.
- Automatic analysis across 5 areas
- Detects execution plan inefficiencies
- Predicts the improvement effect beforehand
Using AI browser error stack analysis
Analyzes the stack, environment, session logs, and statistics together to present the cause, impact range, and code fix direction.
- High/Medium/Low severity classification
- Auto-identifies affected browsers and OSes
- Provides code fix examples
Connecting AI agents via MCP
Let AI tools like Claude or ChatGPT query and analyze WhaTap data in natural language. Anyone can access the data without navigating menus.
- Query in natural language
- Integrate monitoring into AI workflows
- Cross-product analysis
Integrate with operations
For users who want to invest time in integrating WhaTap into their operational system. Design scenarios aligned with your team's workflow and deeply understand per-product metrics against normal/abnormal baselines.
Scenario-based operations
Integrate WhaTap into your team's workflow. This section organizes usage patterns for the actual tasks teams perform—incident response, release verification, reporting, and more.
Incident response
A 5-step incident response routine from alert to anomaly detection, root cause analysis, recovery, and post-mortem.
Learn more →Performance reporting
Design a routine for sharing performance status with executives and stakeholders via weekly, monthly, and quarterly reports.
Learn more →Release verification
Compare metrics at 10-minute, 1-day, and 1-week marks after deployment to detect regressions quickly and objectively define rollback criteria.
Learn more →Team collaboration
Design the team-level operational system—dashboards, alerts, permissions, handover, and rituals.
Learn more →Go to the Metrics guide
Metric meanings, anomaly patterns, and the metrics model are organized per product in a separate hub → Metrics guide
If a scenario or feature-level guide is missing, email dev.tw@whatap.io and we'll prioritize it.