WatchlogWatchlog

WATCHLOG PRODUCT · CUSTOM

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Annotate your stack with events that matter.

Track deploys, feature flag changes, database migrations, and business milestones — then see exactly how they correlate with your metrics and incidents.

Custom
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REST API ingestion·Metric overlays·Deploy markers

THE PROBLEM

Metrics change. The cause is invisible.

Error rate doubles at 2:14pm. CPU spikes at the same time. Was it a deploy? A feature flag? A batch job? Without event markers on your charts, every correlation investigation starts from scratch.

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Deploys are not visible on dashboards
A deploy happened at 14:12. The error rate spiked at 14:14. Without a marker, you spend 20 minutes figuring that out.
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Feature flags are not tracked
A flag was flipped on for 10% of users at 09:00. A metric changed at 09:03. Without an event, you will never connect them.
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Business events are not operational signals
A flash sale started. DB connections spiked. Knowing the event happened is critical context for the infrastructure team.

WHAT'S MONITORED

Everything Custom Events captures.

Real signals collected by the Watchlog Agent — available in your dashboard within 60 seconds of enabling.

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REST API event ingestion
POST any event with a title, timestamp, tags, and metadata via the Watchlog REST API.
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Metric chart overlays
Events appear as vertical markers on any metric chart — see correlation at a glance.
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Deploy markers
Automatically mark deploys on all your charts. Correlate error rate and latency changes with specific releases.
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Event-based alerts
Fire an alert or webhook when a specific event type is received — trigger runbooks from deploy events.
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Team-scoped visibility
Filter event streams by team, environment, or tag. Each team sees the events relevant to their services.
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AI evidence contribution
Events appear in AI Analysis as potential root cause factors when incidents occur near event timestamps.

LIVE VIEW

Events on your timeline.

Deploy markers, feature flags, and business events overlaid on the metrics that matter — correlation made instant.

Custom Events  ·  Live
CPU Usage %
◆ flag: new-checkout ON
▲ deploy v2.14.0
◆2024-01-15 14:12deployapi-service v2.14.0[team: backend]
◆2024-01-15 09:00featureflag: new-checkout enabled for 10%[team: product]
◆2024-01-14 18:30infraDB migration: added payments index[team: data]

CAPABILITIES

What Custom Events gives you.

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Deploy event tracking
POST a deploy event from your CI/CD pipeline. It appears immediately as a marker on all relevant dashboards.
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Feature flag visibility
Log every flag evaluation or rollout change as an event to build a complete flag change history.
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Business event correlation
Log flash sales, marketing campaigns, and business milestones — give your infra team context when metrics change.
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Webhook on event receive
Trigger a webhook when a specific event type arrives — automate runbook execution on deploys.
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AI root cause input
Events near an incident automatically appear as potential causes in AI Analysis with confidence scoring.
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Tag-based filtering
Filter events by team, environment, service, or any custom tag to keep dashboards relevant.

USE CASES

How engineering teams use Custom Events.

◆Deploy impact analysis

Every deploy posts an event. APM and log charts show the event marker — error rate changes after deploy v2.14.0 are immediately visible.

DeploysCI/CDImpact Analysis
▣Feature flag correlation

A new checkout flow is enabled for 20% of users. A Custom Event marks the moment. Conversion rate and error rate are immediately correlated.

Feature FlagsA/B TestingFrontend
⌇Database migration tracking

A schema migration runs at 18:30. A Custom Event marks it. Any query performance changes after that timestamp are traceable to the migration.

DatabaseMigrationsCorrelation
⚡Automated runbook triggers

A deploy event fires → webhook triggers a smoke test suite automatically. Events as operational automation triggers.

AutomationCI/CDWebhooks

PLATFORM FIT

Custom Events inside the Watchlog platform.

Custom Events work alongside Custom Metrics for full application observability, feed AI Analysis as root cause context, and trigger Alerts when specific event types are received.

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Custom Events
This product
→
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Custom Metrics
Events correlated with metric changes
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AI Analysis
Events as root cause evidence
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Alerts
Fire on event type or pattern

QUICK START

Start Custom Events in under 2 minutes.

No YAML. No complex configuration. The Watchlog Agent handles discovery automatically.

01
Install the Agent
One curl command on your host. The Watchlog Agent starts immediately.
sudo apiKey="$WATCHLOG_API_KEY" server="$WATCHLOG_SERVER" MEMORY="300M" bash -c "$(curl -L https://watchlog.io/ubuntu/watchlog-script.sh)
02
Enable Custom Events
No agent required. POST events to the Watchlog REST API from your CI/CD pipeline, deploy scripts, or application code.
03
Data appears in 60s
Events appear on your dashboards within seconds of the POST request completing. Deploy markers are visible immediately.

GET STARTED

Start monitoring with Custom Events.

Post your first deploy event in under 5 minutes. Correlation becomes instant.

Start Free →Request Demo

Questions? Talk to us → [email protected]