DownForAI

MongoDB Atlas Vector status: API, auth, latency & outage reports

MongoDB Atlas Vector is operational right now. DownForAI checks MongoDB Atlas Vector every ~75 minutes across 1 monitored surface, with 0 community reports in the last 24 hours.

Operational
Last probe 1h ago·1 surface
Official statusHigh confidence
📡 Official status page →📚 Docs →
100.0%
24h Uptime
153ms
p50 Network Latencyⓘ
343ms
p95 Network Latencyⓘ
0
Incidents (30d)

DownForAI monitors MongoDB Atlas Vector via a single endpoint — MongoDB Atlas Web. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 153 ms; p95: 343 ms.

DownForAI has not recorded any MongoDB Atlas Vector vector database disruptions. The service is probed approximately every 75 minutes; no user reports have been received in the last 24 hours.

Data confidence: HighLast checked 1h 19m ago · 1 monitored surface · 1 with 24 h latency data

Current Status

✅
Operational
Everything works normally
✓Checked by our probes · 103ms
Verified 1h ago
✓No major incident reported
ⓘNo reports in the last 24h

Having issues?

Help other users by reporting if MongoDB Atlas Vector is not working for you.

0reports in the last 24 hours

Surface Health

MongoDB Atlas WebOperational
HTTP 200p50 153ms1h ago

Uptime — last 24h

100.0%

Network latency — last 20 probes

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What DownForAI can verify about MongoDB Atlas Vector

No confirmed provider-side issue detected
DownForAI currently sees MongoDB Atlas Vector as operational based on available monitoring signals.
Signal source: official status API · Monitoring confidence: High
Still having trouble?

The issue may be account-specific, regional, network-related, or related to authentication, billing, quota, or rate limits.

Incident history (30d)

✓No incidents recorded in the past 30 days.

Reported symptoms

No user reports for MongoDB Atlas Vector in the last 24 hours.

Known error signatures

Common failure patterns and how to diagnose them

Provider details

MongoDB Atlas Vector Search adds vector indexes and $vectorSearch to Atlas clusters, deployed per cloud region. Incidents are regional Atlas or Search-node events, published on MongoDB's Atlassian status page.

What we monitor
Atlas clusters (regional) — Data
Atlas Search / Vector Search nodes — Indexes
Atlas control plane — UI and API
Ecosystem dependencies
AWS / Azure / GCP infrastructure

Fallback alternatives

What to use if this service is down

Atlas Vector Search is down
Pinecone, Qdrant or Supabase Vector (monitored on DownForAI) can hold a mirror of the vectors
Major migration

How we monitor

DownForAI checks monitored AI service surfaces on a rotating schedule, roughly every 75 minutes per surface, from a single centralized probe infrastructure. For services with an official machine-readable status page, we use that official status signal when available. For other services, we perform a basic public-surface check. Some services block datacenter probes; in those cases we mark them as “Monitoring limited” instead of treating a failed probe as a confirmed outage. Status is classified as Operational, Degraded, or Outage. Network latency (check response time) measures how long the monitored endpoint took to respond to our probe — it is not model inference speed, time-to-first-token, or tokens-per-second performance. We are independent of all providers listed and receive no compensation to report any particular status.

MongoDB Atlas Vector statusEmbed this status badgeREADME · docs ▾
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