Datadog alert history, next to the change that tripped it.
Datadog fires an alert the moment a metric crosses a threshold — latency, error rate, anything you watch. But the alert lives in Datadog, away from the deploy or config change behind it. CoNote will put each triggered monitor on one shared timeline, beside the change from the same minute.
Monitor alert: API p95 latency above 800ms
Datadog· 14:06
Deployed checkout service v3.1.0 (main → 7b2e9a1)
GitHub· 14:02
Finding your history
Your Datadog alert history: today, and once CoNote is live
The manual way · inside Datadog
Where to find it today
It’s all there — across a few views:
- 1
Open Datadog
Sign in and head to Monitors → Manage Monitors for the monitor you’re investigating.
- 2
Open the monitor’s status
Each monitor shows its alert history — when it went into alert, warning, and back to OK, on its metric graph.
- 3
Search the Events Explorer
The Events Explorer lists triggered alerts across monitors, which you filter by tag, service, and time.
- 4
Overlay your deploys
If deploy markers are configured, you can overlay them on a graph — but only on that graph, for that metric.
- 5
Cross-reference the rest by hand
To tie an alert to a flag change or config edit outside Datadog, you switch tools and line the timestamps up yourself.
The CoNote way · coming soon
Where you’ll find it once it’s live
Connect Datadog once. After that it’ll be seconds:
- 1
Open your CoNote timeline
Every triggered monitor will be waiting — no Datadog access, readable by anyone.
- 2
Jump to the minute it alerted
Scan the moment the monitor tripped; it’ll be stamped right there.
- 3
See the cause beside it
The alert will sit next to that day’s deploy, flag change, or config edit — the trigger is one line away.
Sound familiar?
Datadog catches the spike — not its cause.
Nadja14:10
Tom14:13
Nadja14:16
Tom14:20
The alert is in one tool, the change in another.
A monitor answers “did a metric cross a threshold?” — never the question you actually have: “what did we change right before it tripped?”
- Alerts live in Datadog, deploys and config changes live elsewhere
- Deploy markers help — but only on one graph, for one metric
- Buried in the monitoring tool, where most of the company can’t look
- Tying an alert to a change is manual, every time
Once Datadog is connected, the alert will already be on the timeline — “Monitor alert: API p95 latency above 800ms” at 14:06 — right under the 14:02 deploy, so the cause is one line away.
How it works
Connect once. Then it’ll log itself.
- 01
Add a Datadog webhook
Point a Datadog webhook notification at CoNote — no agent changes, no engineering sprint.
- 02
Every triggered monitor logs itself
From then on, each monitor that trips lands on the timeline with a readable title — “Monitor alert: API p95 latency above 800ms” — the moment it fires.
- 03
Read it in context
The alert sits beside that day’s deploys, flag changes, and config edits — so the trigger is one line away, not one tool away.
What lands on your timeline
- Triggered monitor alerts — what crossed the threshold
- When it tripped and when it recovered
- The minute it happened, beside the change that caused it
In your week
What teams will use it for.
The alert with an obvious cause
A latency monitor trips. The deploy at 14:02 sits one line above it — so the cause is on the same page, not in a second tool.
Explain the overnight spike
A monitor fired at 02:14. The deploy or job from that minute is right beside it, instead of a graph with no explanation.
Make alerts visible to the business
No Datadog access needed. The alert reads in plain language on the same timeline as everything else, so the impact is clear to everyone.
One feed across every monitor
Latency, error rate, custom metrics — every triggered monitor lands on one timeline, in order.
Side by side
Native monitors vs. your logbook.
See triggered monitor alerts
Datadog monitors
CoNote
The deploy or change that caused it, beside it
Datadog monitors
CoNote
One feed across every monitor
Datadog monitors
CoNote
Readable by the whole company
Datadog monitors
CoNote
Alerts and changes on one timeline
Datadog monitors
CoNote
Setup
Datadog monitors
CoNote
On the timeline
The alert in context.
A latency alert on its own is a red line on a graph. One line under the deploy from four minutes earlier, it’s a diagnosis.
Tuesday, June 9
Deployed checkout service v3.1.0 (main → 7b2e9a1)
GitHub· 14:02
Monitor alert: API p95 latency above 800ms
Datadog· 14:06
Flag “new-checkout” turned on for 100% of users
LaunchDarkly· 11:20
Questions
Datadog alert tracking, answered.
Open Monitors → Manage Monitors and select a monitor to see its alert history on its metric graph, or use the Events Explorer to list triggered alerts across monitors, filterable by tag, service, and time.
Not yet — it’s coming soon. You can start your CoNote logbook now and connect the tools that are already live; we’ll switch Datadog on automatically the day it ships.
Only once, briefly. Connecting Datadog will be pointing a webhook notification at CoNote — no agent changes and no code.
No — it logs the monitors that actually trip into alert, not every metric or evaluation, and you choose which monitors notify CoNote, so the timeline stays meaningful.
Triggered monitor alerts and their recovery as plain-language entries — for example “Monitor alert: API p95 latency above 800ms” — with the minute they happened.
Datadog’s alerts live across monitors and graphs, in the monitoring tool, where most of the company can’t look. CoNote will put triggered monitors on a shared timeline right beside that day’s deploys, flags, and config edits.
Only your team. Every entry is scoped to your team, and connecting Datadog won’t expose your account to anyone outside it.
Keep digging
Track the rest of your stack.
Open the logbook.
Free plan, no card. The next time someone asks “what changed?”, the answer is one search away.
Start your logbook