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Backendless Counters Service

Backend Platform

8 atomic counter operation triggers for Backendless. Agents react to counter increments, decrements, compares, and resets to drive rate limiting, quota enforcement, and sequential workflow logic.

8 triggers 0 actions available
Counter: Get And Increment fires as API call is tracked
Agent evaluates returned counter value against daily quota limit
Alert sent to operations team at 80% of daily limit via Slack
Non-critical API calls paused automatically at 100% limit
Operations team reviews usage and approves capacity adjustment

What This Integration Enables

Without FlowRunner

No quota visibility Team discovers API limit breaches only after service disruption
Manual monitoring Someone has to check dashboards to see current usage levels
Reactive responses Capacity decisions happen after the problem already occurred

With FlowRunner

Real-time quota alerts Team notified at 80% before limits cause operational impact
Automated enforcement Non-critical calls paused at threshold without manual intervention
Proactive capacity management Operations team makes decisions with lead time, not in crisis

Use Case Scenarios

API Quota Monitoring

An application uses a Backendless counter to track daily API calls. When Counter: Get And Increment fires and the returned value crosses 80% of the daily limit, the agent sends an alert to the operations team via Slack: "API usage at 80% of daily quota. Current: [N] calls. Limit: [N]." At 100%, it pauses non-critical API calls automatically.

Order Volume Threshold

A Backendless counter tracks orders processed in the current hour. Counter: Increment And Get fires. When the value reaches a defined batch threshold, the agent triggers the batch processing workflow for the accumulated orders.

Human-in-Loop Highlight

When Counter: Compare And Set fires and triggers a critical threshold action (pausing a service, sending a bulk alert, triggering a capacity change), the agent routes for human confirmation before executing the consequential action.

Agent processes routinely
Detects exception requiring judgment
Clear match Continues automatically
Ambiguous Routes to human via preferred channel
Human decides
Agent resumes with decision

Agent Capabilities

0 actions

Capabilities

0

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