Transaction Application Monitoring · OnStak Use Case

Stop proving the network is innocent.

When a transaction fails, half the fight is proving it wasn’t the network, before anyone can fix what it actually was. Here is how a Fortune 100 manufacturer got one shared view, and ended the finger-pointing.

2-4% → 0.5%

transaction failure rate

35-50% faster

application response

60% fewer

false network escalations

Plant operator at a transaction terminal monitoring application performance

Story highlights

  • The app was the culprit. Waterfall analysis pinpointed application-layer degradation and cleared the network and server tiers.
  • Failures cut to a fraction. The 2-4% peak-hour failure rate fell to 0.5%, and app response improved 35-50%.
  • The blame game ended. 60% of false network escalations were eliminated once everyone shared one end-to-end view.

The situation

A Fortune 100 line that ran on transactions it could not trace.

The manufacturer’s transaction application faltered at peak hours, with failures and response spikes, and no shared end-to-end view. Every incident began with an argument about whose layer was at fault. They set out to see the full journey.

The problem

Half the effort went to proving innocence.

Before anyone fixed the fault, the teams spent the day proving it was not theirs. Three things drove it.

Peak-hour failures

2-4% of transactions failed during peak hours.

Response spiked

Intermittent spikes of 3 to 6 seconds hit users.

No shared view

50% of troubleshooting time went to proving the network was not the issue.

What OnStak did

One view of the whole journey, one source of truth.

OnStak monitored the full user journey and let waterfall analysis settle where the degradation actually was.

1

Monitored the full journey

Synthetic transaction monitoring across the entire user path.

2

Pinpointed the app layer

Waterfall analysis found application-layer degradation.

3

Cleared network and server

The same analysis ruled out the network and server tiers.

4

Restored a consistent experience

Users saw steady performance again.

What changed

From arguing over the layer to seeing the answer.

Before

Every incident started with a blame game.

  • 2-4% of transactions failed at peak hours.
  • Response spiked 3 to 6 seconds.
  • Half of troubleshooting went to proving the network innocent.
After, with OnStak

Now one view settles it.

  • Transaction failure rate 2-4% to 0.5%.
  • Application response improved 35-50%.
  • False network escalations down 60%.

The outcome

Anonymized manufacturer · Fortune 100

Failures down, arguments over.

0.5%
Transaction failure rate
Down from 2-4%.
35-50%
Faster app response
Application response improved.
60%
Fewer false escalations
Network wrongly blamed no longer.
Restored
Consistent experience
Steady end-user performance.

The idea that holds it together

The fastest fix is one nobody has to argue for.

“Shared visibility turns ‘not my layer’ into a single answer everyone can see.”

Awais Janjua  /  Chief Technology Officer, OnStak

Built on
Splunk observability platform Synthetic transaction monitoring Full user-journey tests Waterfall analysis Application-layer diagnostics

Coffee? No Slides

No pitch deck. No 47-page proposal. Just a straight talk about what’s broken and what to fix first.

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