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Reporting & Historical Analytics

Beacon’s Reporting & Historical Analytics module transforms accumulated monitoring and performance data into structured reports and long-term trend analysis. It allows teams to understand how their databases have evolved over time, document performance baselines, and make evidence-based decisions about optimization, capacity, and reliability.

This module answers the question: “How has my database been performing over time, and what does the long-term picture look like?”

Beacon generates structured reports summarizing database performance over a chosen period.

Report Element Description
Report Title & Scope Name, instances covered, and time range.
Summary Metrics Key performance indicators for the period.
Query Highlights Top queries by time, frequency, and resource use.
Index Findings Index recommendations and usage summary.
Alert Summary Alerts triggered, resolved, and outstanding.
Resource Trends CPU, memory, storage, and I/O over the period.
Health Overview Aggregate health indicators per instance.

Operational value: Provides a shareable, structured record of database performance for reviews and documentation.


Beacon tracks performance signals over extended periods to reveal directional patterns.

Trend Signal Description
Query Duration Trends Whether key queries are getting faster or slower.
Workload Volume Trends Growth or decline in query volume over time.
Resource Consumption Trends Long-term CPU, memory, and storage patterns.
Session Activity Trends Changes in connection and session behavior.
Lock Contention Trends Whether blocking is becoming more or less frequent.
Index Usage Trends Shifts in how indexes are used across the workload.
Alert Frequency Trends Whether alert volume is rising or falling.

Operational value: Distinguishes between transient fluctuations and genuine long-term changes that require action.


Beacon establishes performance baselines that provide context for current behavior.

Baseline Element Description
Normal Ranges Expected values for each monitored signal.
Time-of-Day Patterns How behavior varies across daily cycles.
Day-of-Week Patterns Weekly workload rhythms.
Seasonal Patterns Longer-cycle variations where applicable.
Baseline Drift How baselines themselves shift over time.

Operational value: Enables meaningful comparison — a value is only “abnormal” relative to a known baseline.


Beacon supports comparison across time periods, instances, and configurations.

Comparison Type Description
Period vs. Period This week compared to last week, this month to last month.
Instance vs. Instance Compare performance across database instances.
Before vs. After Impact of a change, deployment, or optimization.
Peak vs. Off-Peak Behavior under different load conditions.

Operational value: Provides context for interpreting performance and validating the effect of changes.


Beacon analyzes growth patterns to support capacity planning.

Signal Description
Storage Growth Rate How quickly data volume is increasing.
Table Growth Ranking Which tables are growing fastest.
Index Growth Storage consumed by indexes over time.
Connection Growth Changes in concurrent connection demand.
Workload Growth Increases in query volume and complexity.
Projected Thresholds Estimated time until capacity limits are reached.

Operational value: Gives teams lead time to plan infrastructure changes before limits are hit.


Beacon can generate and deliver reports automatically.

Capability Description
Scheduled Reports Reports generated at defined intervals (daily, weekly, monthly).
Recipient Configuration Define who receives each scheduled report.
Delivery Channels Reports delivered via configured channels.
Report Templates Predefined structures for consistent reporting.
Ad-Hoc Generation Generate reports on demand for any period.

Operational value: Ensures stakeholders receive regular, consistent performance summaries without manual effort.


Beacon allows reports and underlying data to be exported for external use.

Export Format Description
Structured Documents Formatted reports suitable for sharing and archiving.
Tabular Data Raw or summarized data for further analysis.
Chart Images Visualizations suitable for presentations.
Scheduled Exports Automated export and delivery of recurring reports.

Operational value: Enables integration with existing documentation, review, and compliance processes.


Beacon supports reporting needs tied to governance and oversight.

Report Type Description
Access Reports Who accessed which databases and when.
Change Reports Configuration and rule changes over time.
Alert Response Reports How alerts were handled and resolved.
Retention Reports What data is retained and for how long.

Operational value: Supports organizational requirements for accountability and traceability.


Select scope, time range, and content to generate a custom report.

Manage recurring reports and their delivery settings.

Interactive exploration of long-term performance signals.

View established baselines and current deviation from them.

Growth projections and threshold estimates.


Option Purpose
Default Time Range Period used when no range is specified.
Retention Policy How long historical data is retained for reporting.
Baseline Window Period used to establish performance baselines.
Report Templates Default structure for generated reports.
Scheduling Defaults Default frequency and recipients for scheduled reports.
Export Format Defaults Preferred format for generated exports.

Scenario 1 — Monthly performance review A scheduled monthly report is delivered to the engineering team, summarizing query performance, alert activity, and capacity trends for the period. The team reviews it in their regular meeting.

Scenario 2 — Validating an optimization After optimizing a set of queries, the team uses Before vs. After comparison to quantify the improvement in average duration and resource consumption.

Scenario 3 — Planning for growth Storage growth analytics project that the primary database will reach 90% capacity in approximately four months. The team begins infrastructure planning well in advance.

Scenario 4 — Establishing a performance baseline After a period of stable operation, Beacon establishes baselines for key signals. Future alerts and comparisons are evaluated relative to these baselines rather than arbitrary fixed values.


Beacon’s Reporting & Historical Analytics module gives teams the long view. By generating structured reports, tracking trends, establishing baselines, and projecting capacity, it supports informed decision-making, validates change, and documents performance over time — turning accumulated data into lasting operational knowledge.