DownForAI

AWS SageMaker status: API, auth, latency & outage reports

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

Operational
Last probe 3h ago·1 surface
Probe-monitoredMedium confidence
📡 Official status page →📚 Docs →💳 Pricing →
100.0%
24h Uptime
161ms
p50 Network Latency
411ms
p95 Network Latency
0
Incidents (30d)

DownForAI monitors AWS SageMaker via a single endpoint — SageMaker Web. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 161 ms; p95: 411 ms.

AWS SageMaker has had no tracked outages since joining the DownForAI monitoring network. No community reports have been filed in the last 24 hours.

Data confidence: MediumLast checked 3h 26m ago · 1 monitored surface · 1 with 24 h latency data

Current Status

Operational
Everything works normally
Checked by our probes · 42ms
Verified 3h ago
No major incident reported
No reports in the last 24h

Having issues?

Help other users by reporting if AWS SageMaker is not working for you.

0reports in the last 24 hours

Surface Health

SageMaker WebOperational
HTTP 200p50 161ms3h ago

Uptime — last 24h

100.0%

Network latency — last 20 probes

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What DownForAI can verify about AWS SageMaker

No confirmed provider-side issue detected
DownForAI currently sees AWS SageMaker as operational based on available monitoring signals.
Signal source: official status page · Monitoring confidence: Medium
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 AWS SageMaker in the last 24 hours.

Known error signatures

Common failure patterns and how to diagnose them

Provider details

Amazon SageMaker is AWS's managed platform for training, tuning and hosting models (Studio, endpoints, JumpStart), billed per instance. Incidents are regional and appear on the AWS Health Dashboard; most user-facing failures are quotas and capacity for specific instance types.

What we monitor
SageMaker control plane (regional)Jobs, endpoints, Studio
Instance capacityGPU instance availability
Account quotasPer-instance-type limits
Ecosystem dependencies
AWS regional infrastructure

Fallback alternatives

What to use if this service is down

SageMaker is unavailable in your region
Google Vertex AI or Azure AI Studio (monitored on DownForAI) offer managed training and hosting; RunPod covers raw GPUs
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.

AWS SageMaker statusEmbed this status badgeREADME · docs ▾
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