Change Intelligence Platform

Know why production changed in minutes, not hours

Your infrastructure constantly changes. Deployments, traffic patterns, customer behavior, configuration drift. We detect what changed, explain why it matters, and warn you before it becomes an incident.

12 min avg. time to root cause
SOC 2 compliant
5 min setup
whatchanged.io/dashboard

Last 24h

Change summary

43 changes
2 high risk
Traffic driftHigh

Top customer traffic11% → 48%

Database contention
DeploymentMedium

billing-apiMemory usage +28%

After rollout
Node driftLow

api-17Kernel differs

From baseline

From 90 minutes to 12 minutes

When systems fail, every minute costs money. Stop manually digging through Grafana, GitHub, Kubernetes, and Slack to find what changed.

BeforeManual investigation
13:00
Alert fires
13:05
Open Grafana
13:20
Check Kubernetes
13:40
Search GitHub commits
13:55
Review Terraform changes
14:10
Found root cause
Total time
70 min
AfterWith WhatChanged
13:00
Alert fires
13:01
WhatChanged report ready
Likely cause identified
Traffic profile changed91%
Deployment billing-api38%
Terraform apply11%

Top tenant share: 12% → 54%

Total time
1 min
Prevention > Reaction

Detect dangerous changes before incidents happen

Don't wait for alerts. See risky patterns emerge and act before they impact users.

Risk Warning

Detected 12 minutes ago

High Risk

Observed first-time traffic profile. Similar profile never seen before.

Request size p95
4KB140KB
Top customer traffic
12%57%
Cache pressureDB latency riskRate limit threshold

Traffic Drift

Detect unusual traffic patterns, customer concentration changes, and request size anomalies

POST traffic +340%
Top tenant +420%
Payload size spike

Deployments

Correlate code changes with resource usage, latency shifts, and error rate changes

Memory +35%
Latency p99 increased
New error patterns

Infrastructure Drift

Identify nodes that differ from cluster baseline, config drift, and resource divergence

Kernel mismatch
Config differs
Resource drift

Data Patterns

Track database growth patterns, query profile changes, and connection behavior

Query patterns changed
Connection spike
Index usage shift

Performance Shifts

Monitor latency distributions, throughput changes, and saturation signals

P99 doubled
Saturation warning
Throughput drop

Behavioral Anomalies

Catch first-time events, seasonal deviation, and unusual correlations

First-time pattern
Weekend anomaly
Cascade risk

Measurable impact on your operations

Not just "AI found correlations". Real metrics that matter to your business.

87%
Reduction in MTTR
From 90 min to 12 min
7
Incidents prevented
Per month on average
60%
Less investigation time
Engineering hours saved
$140K
Annual savings
Based on 50-person team
"We used to spend the first 30 minutes of every incident just figuring out what changed. Now we know before the alert even fires."
SK
Sarah Kim
Principal SRE, ScaleOps

Stop asking "What changed?"

Join teams that know why production behaves differently—before their users notice.

14-day free trial • No credit card required • 5 minute setup