On Freshworks - Freshservice ITOM
From alert noise to service impact.
Alert management, service health monitoring, on-call and major incident response configured so your operations team sees affected services rather than raw signals. We baseline the noise before we tune it, so the improvement is a number rather than an impression.
Week 1
Alert noise baseline captured before anything is tuned
Service-first
Signals mapped to the services they affect
One rota
On-call, escalation and major incident in one place
What we measure
The numbers that decide whether this worked
We capture all four in week one, before a single correlation rule is changed, and report the same four at handover. We publish the method rather than somebody else's results, because your starting point is the only baseline that means anything.
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Alerts reaching a human each week
Week 1 your numberHandover your number -
Share of alerts that led to an action
Week 1 your numberHandover your number -
Time to identify the affected service
Week 1 your numberHandover your number -
Time to reach the right responder
Week 1 your numberHandover your number
If a number moves the wrong way we say so and explain why. A tuning exercise that only ever produces good news is not a measurement, it is a story.
Why the noise wins
Your monitoring works. Your operations don't.
The tools are doing their job. Four of them are watching the same infrastructure, and one degraded database arrives as five alerts, none of which says which business service just got slower. So the team triages by instinct, and gradually learns that most alerts can be ignored.
Then something big breaks. The first twenty minutes go on working out who to call, because the rota lives in a spreadsheet or in a separate tool nobody has migrated off. The outage is not what costs you: the coordination is.
- Alert volume high enough that ignoring alerts has become a rational strategy.
- No link between a signal and the service it affects, so priority is a judgement call every time.
- On-call, escalation and major incident coordination sitting outside the platform where the work happens.
Four committed outcomes
Correlated, contextual, answerable, reviewable
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Correlated
Alert management configured so related signals arrive as one actionable situation, measured against the noise baseline we captured in week one.
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Contextual
Service health monitoring tied to your asset and dependency data, so impact is visible rather than inferred from whoever shouts first.
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Answerable
On-call rotations, escalation paths and a status page that hold up at three in the morning, in the same platform as the ticket.
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Reviewable
A major incident process with structured retrospectives, so the same outage does not quietly happen twice.
How it runs
Three gated phases, then measure
Operations changes are behavioural as much as technical, so every phase ends with the team who will live with it agreeing to it.
- Phase 1
Baseline and connect
Monitoring sources connected, noise baseline captured, service scope agreed.
- Phase 2
Correlate and map
Correlation tuned, signals mapped to services, thresholds agreed with the teams who own them.
- Phase 3
Respond and rehearse
On-call and escalation live, major incident process rehearsed, status page published.
- Next
Measure
Experience level agreements and service health reporting, once the operating model has settled.
Moving on-call from a separate tool is a defined migration path, not a rebuild. We baseline noise before tuning it, because a correlation rule without a before number is an opinion.
Who it's for
For operations teams drowning in signals
- Freshservice customers running IT operations
- Heads of IT Operations, Service Owners, On-call leads
- Teams consolidating a separate on-call tool
Measured before tuned
We capture the noise baseline first, so the reduction you get is evidenced rather than asserted.
Mapped to services, not assets
Impact is expressed in terms the business recognises, which is what makes prioritisation defensible.
Rehearsed, not documented
The major incident process is tested with your team before you need it, because a document nobody has run is not a process.
Where it leads
Operations is only as good as the data underneath
Service health depends on knowing what exists and how it connects. If the dependency data is thin, start there instead.
Freshservice ITAM and Discovery
Discovery and a dynamic CMDB, because service health means nothing without accurate dependencies beneath it.
Explore ITAM Add AIFreddy AI Activation
Alert and incident summarisation that turns a noisy situation into something a responder can read at a glance.
Explore Activation Check firstFreshservice Health Check
An evidence-led read of your current configuration before you extend it, whoever implemented it originally.
Explore the Health CheckReady to cut the noise? Let's talk.
Tell us how many alerts you handled last month. That number is where the conversation starts.