PRTGPlugins Trends Explorer · Practical guide

From service objectivesto monitoring.

Turn free-form goals, rule tables, SLAs and internal targets into reviewable infrastructure Views and channel-specific Boundaries.

Any approved sourceHuman approvalDeterministic runtime
Trends Explorer service objectives view with anonymized Production SQL Service content
About the screenshots. The views below are based on the current Trends Explorer interface. Customer and environment details have been replaced with a synthetic Production SQL Service example; the images are documentation mockups, not evidence from a live customer environment.
01 · Start with the objective

A service objective can begin anywhere.

The source may be free text, a boundary table, a formal SLA, an internal operating target or another approved rule set. Its original format does not determine how it is treated. What matters is its meaning, scope, authority and measurable connection to the PRTG evidence.

Service objectives define what the organisation wants to achieve.
AI guidance defines how the available monitoring environment should be analysed.
Free-form descriptionA service owner describes the intended outcome, operating condition and known limitations.
Boundary or rule tableRows identify measures, directions, units, limits, scope and approval status.
Agreement or policyA contractual SLA or internal standard provides governed source wording.
Example A · Agreed SLA

A straightforward objective for a production SQL service.

Production SQL Service — Availability and Response

AGREED SLA
“The Production SQL Service shall be available Monday to Friday from 07:00 to 19:00 Europe/Helsinki time. Monthly availability during the defined service hours shall be at least 99.9%. At least 95% of approved SQL connection checks shall complete within 500 milliseconds.”

Illustrative SLA extract. It is not based on a customer agreement.

The operator preserves the agreed meaning in Service objectives and identifies the exact PRTG measurements that represent SQL reachability and connection response. AI may help find those measurements and propose a View structure, but it must not apply the availability or response-time limits to unrelated host, storage, backup or database-performance channels.

Trends Explorer Settings view containing anonymized Production SQL Service objectives
Actual Trends Explorer Settings view with synthetic, anonymized example content. The agreed service hours, availability target and response-time limit are preserved as service objectives before any channel mapping is approved.

What Trends may treat as agreed

  • 99.9% as the lower monthly availability Boundary.
  • 500 ms as the upper connection-response Boundary for 95% of checks.
  • Monday–Friday, 07:00–19:00 Europe/Helsinki as the service-time scope.

What remains separate

  • CPU, storage, backup age and other supporting infrastructure metrics.
  • AI-recommended operational limits for those supporting channels.
  • Any measurement whose exact SLA mapping is missing or ambiguous.
Example B · Internal target

An approved target without inventing an SLA.

Database Capacity Standard — Production Services

INTERNAL STANDARD
“Production database platforms shall maintain at least 20% free storage capacity throughout the approved 90-day planning horizon. Forecasts indicating that free capacity may fall below the target shall be raised for operational review. No numerical response-time limit is currently approved.”

Illustrative internal operating-standard extract.

The 20% free-capacity target can become an approved lower Boundary for the verified capacity channel. Response-time deterioration may still be analysed, but any numerical response-time Boundary proposed by AI remains a proposal—not an SLA and not an approved internal target.

Human approval remains the gate. Only objectives that have been reviewed and approved are used as governed monitoring Boundaries. AI-created objectives remain Proposed until that decision is made.
02 · Separate guidance

Tell AI how to investigate—not what to pretend is agreed.

The objective and the analysis instructions have different jobs. The objective preserves the authoritative target. AI guidance describes the desired perspective, hierarchy and emphasis for analysing the available PRTG environment.

Example AI guidanceReview the selected PRTG environment from the perspective of Production SQL Service availability, connection response and capacity. Propose one service View for SQL availability and response, plus supporting evidence for storage, backup and host health. Apply approved limits only to exact compatible measurements. Identify missing measurements and present every other numerical limit as a reviewable proposal—not as an SLA.

The same objective can therefore be analysed differently for an infrastructure operator, a service owner or a capacity-planning team without rewriting the agreed source text.

03 · Find the evidence

Connect each rule to an exact PRTG measurement.

Trends Explorer analyses the selected PRTG inventory and measurement metadata. A limit is useful only when its channel identity, unit, risk direction and meaning match the objective. Similar names are not enough.

Trends Explorer AI inventory scope showing a synthetic SQL monitoring environment
Actual product view with anonymized example content. The operator selects the PRTG inventory that AI may inspect; this scope determines the available evidence, not the service objective itself.
Trends Explorer SLA interpretation review with anonymized SQL availability response and capacity mappings
Actual product review view with synthetic content. Availability, response and capacity objectives are mapped separately, while an unresolved item stays visible instead of being silently forced onto an incompatible channel.
Objective elementRequired evidenceIf no exact match exists
SQL availability ≥ 99.9% A verified availability channel calculated for the agreed service-time scope. Report an unresolved mapping. Do not approve a substitute automatically.
Connection response ≤ 500 ms An approved SQL connection or response channel with milliseconds as its unit. Keep the limit unmapped or propose a clearly identified measurement change.
Free capacity ≥ 20% A free-capacity percentage channel whose lower values mean increasing risk. Do not translate bytes, used percentage or another scale without explicit interpretation.
Availability requires special care. This example assumes PRTG already exposes a verified availability measurement matching the agreed service hours. Trends Explorer does not currently calculate contractual monthly availability or maintenance exclusions from raw downtime events. Without a suitable source measurement, that part of the SLA remains unresolved rather than silently implemented.
04 · Build the Views

Separate service health from supporting infrastructure.

A View should answer one operational question. The main SQL service View keeps the customer- or service-facing measures visible. Supporting Views explain capacity and component behaviour without turning every technical signal into an SLA.

VIEW 01SQL serviceAvailability and connection response—the headline service outcome.
VIEW 02CapacityFree storage, growth and the approved 90-day planning target.
VIEW 03BackupBackup age, failures and recovery evidence where available.
VIEW 04Host healthCPU, memory and supporting platform signals for investigation.

Not every environment needs four Views. The operator may combine or omit supporting perspectives when the result stays understandable, technically compatible and within the PRTG output-channel limit.

05 · Govern the Boundaries

Proposed is not Approved.

AI may propose channel participation, forecast models and numerical Boundaries. Every AI-created objective enters review as Proposed. The operator checks the source channel, unit, direction, value, origin, rationale and reference before approval.

Proposed

A review candidate. It can be edited, rejected or left unresolved. It is not yet a governed monitoring limit.

Approved

A human-reviewed objective that may be packaged for deployment and used for threshold forecasting.

Trends Explorer Channel objectives view with four anonymized proposed SQL objectives
Actual Channel objectives view with synthetic data. AI-created limits begin as Proposed: visible and editable, but not yet saved as governed monitoring objectives.
Trends Explorer Channel objectives view with three approved objectives and one remaining proposal
The same actual product view after a selective human decision. Three compatible objectives are Approved; one item remains Proposed, demonstrating that approval is per objective rather than all-or-nothing.
  • The channel identity and unit are exact.
  • The Boundary direction matches the risk.
  • The source is distinguished from an AI recommendation.
  • Supporting channels are not mislabeled as SLA measures.
  • Missing measurements remain visible.
  • The proposed output stays within PRTG’s 50-channel result limit.
06 · Deploy and monitor

Only the approved definition enters the monitoring runtime.

After readiness checks and explicit plan approval, Trends Explorer packages the selected Views and approved objectives for deployment. The Trends Engine performs the calculations and returns the resulting channels to PRTG. The view below is the Trends Explorer component rendered directly inside a PRTG Map—not a separate application or external report.

Trends Explorer Service Outlook component rendered inside a PRTG Map with anonymized Production SQL Service objective status
Actual Trends Explorer Service Outlook component shown inside a PRTG Map, with anonymized example content. Approved objectives can produce forecast, time-to-Boundary and breach-probability outputs; AI is not included in the deployed monitoring runtime.
1ValidateCheck sources, history, objectives, channel budget and target readiness.
2ApproveConfirm the plan and the unlocked Proposed objectives included in it.
3DeployInstall the configuration-specific Engine package for the owning Probe.
4OperateUse PRTG sensors and notifications as the ongoing operational surface.
07 · Keep it current

A monitoring definition is governed configuration—not a one-time AI answer.

Review the objective whenever the SLA, service hours, infrastructure, PRTG sensor identity, unit or operating policy changes. Re-run analysis when new evidence becomes available, but preserve approved values until a person intentionally replaces them.

  • Record the authoritative source and reference.
  • Review changed service hours or exclusions.
  • Verify replaced sensors and channel identities.
  • Reconsider supporting Views after architecture changes.
  • Reapprove changed objectives before deployment.
Begin with the rule set. Use PRTG as the evidence. Let AI propose. Let people decide. Deploy only what has been approved.