Zero Trust & SASE
See Every Slow App Before Your Users Complain
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Signal
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Review
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Decision
01
Requirements reviewed with your team
02
Technical fit and integrations assessed
03
Pilot scope defined around measurable outcomes
The problem
When an application is slow, the usual first question — is it the network, the application, or the user's device? — is hard to answer without visibility into the actual path a request took.
IT teams often find out about a slow application from a help desk ticket, well after the experience already frustrated someone, rather than from monitoring that would have caught it first.
Synthetic monitoring — a probe pinging an application from one fixed location — measures something related to the real problem, but not the actual experience of the actual users having it, on their actual networks and devices.
How MaskFlare Pulse works
Pulse measures real user sessions across the Flare Mesh, isolating whether a slow experience originates in the network path, the application itself, or the device, before it becomes a support ticket.
Benefits
Root-cause visibility, past the initial alert
Pinpoints whether slowness sits in the network, the app, or the device.
Real sessions, not synthetic pings
Measurements come from actual user traffic through the Mesh, not a synthetic probe from one location.
Catch problems before the help desk does
Session-level data surfaces degrading experience before enough users complain to trigger an investigation.
One view across every application
The same monitoring covers every application reached through the Flare Mesh, not one tool per app.
No separate monitoring agent
Measurement runs on traffic already passing through Access and Shield, without deploying a dedicated APM agent.
Doubles as capacity-planning data
Trend data across sessions helps anticipate where an application will need more capacity before it becomes a problem.
Capabilities
Session-level path tracing
Trace the actual network path a session took through the Flare Mesh to isolate where latency was introduced.
Application and device scoring
Separate application response time from device-side resource contention.
Historical trend analysis
Compare current session performance against historical baselines to catch gradual degradation as well as sudden outages.
Per-application dashboards
Break down experience data by application, so a single dashboard doesn't blend unrelated services together.
Explore related capabilities
See how the capabilities planned for MaskFlare address adjacent security and privacy requirements.
Related from Flarepedia
Frequently asked questions
What is digital experience monitoring?
Digital experience monitoring measures the actual end-to-end experience of reaching an application — network, application, and device — to identify where a slow experience originates.
How is this different from synthetic monitoring?
Synthetic monitoring pings an application from one fixed location on a schedule. Pulse measures real user sessions as they happen, across whatever networks and devices those users are actually on.
Does Pulse require installing an agent on every device?
No — measurement runs on traffic already passing through the Flare Mesh via Access and Shield.
Can Pulse tell us if a slow experience is our application's fault or the network's?
Yes — session-level path tracing separates network latency from application response time and device-side resource contention.
Does Pulse cover mobile and remote users, or just office network traffic?
Coverage extends to any session reaching an application through the Flare Mesh, regardless of network or location.
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