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Is Pinecone Down?

No — Pinecone is up
Pinecone's status page
Operational · no open incidents
FlareWarden checks
Website reachable · 8 of 8 regions · 323 ms

Right now

The verdict is the worse of these two. How we decide

Pinecone's status page

status.pinecone.io · read · checked every 3 minutes

Operational
Pinecone's components, as its status page reports them
ComponentStatus
ConsoleOperational
Index ManagementOperational
InferenceOperational
AssistantOperational
Azure eastus2Operational
gcp-starterOperational
eastus-azureOperational
19 locations All operational

FlareWarden checks

pinecone.io from 8 regions · when you open this page (at most every 30 minutes), otherwise every 6 hours

Reachable
Regions up
8 of 8
Response
323 ms
Checked

By region

  • Ashburn reachable, 181 ms
  • Chicago reachable, 280 ms
  • Johannesburg reachable, 629 ms
  • London reachable, 292 ms
  • Los Angeles reachable, 165 ms
  • San Jose reachable, 69 ms
  • Singapore reachable, 636 ms
  • Tokyo reachable, 333 ms
Timing by region
Connection timing for each region that loaded the page
RegionDNSTCPTLSTTFB
Ashburn78 ms1 ms6 ms163 ms
Chicago118 ms1 ms21 ms267 ms
Johannesburg238 ms1 ms45 ms606 ms
London64 ms2 ms8 ms281 ms
Los Angeles57 ms1 ms27 ms149 ms
San Jose18 ms1 ms10 ms61 ms
Singapore284 ms1 ms8 ms630 ms
Tokyo37 ms2 ms9 ms318 ms
We check that pinecone.io loads, not every feature behind it. Test it yourself

History

Incidents Pinecone reported

Since Oct 22, 2 days · from status.pinecone.io

Incidents
0
Major or critical
0
Median to resolve
—

No incidents reported in this window.

Pinecone website availability

Measured by FlareWarden · pinecone.io

Last 7 days
100%
Last 30 days
100%
Last 90 days
100%
Avg response, 30 days
395ms

Last 30 days

62-day clean streak
Sep 24: 100.00% uptime, 32 checks
Sep 25: 100.00% uptime, 32 checks
Sep 26: 100.00% uptime, 32 checks
Sep 27: 100.00% uptime, 32 checks
Sep 28: 100.00% uptime, 32 checks
Sep 29: 100.00% uptime, 31 checks
Sep 30: 100.00% uptime, 31 checks
Oct 1: 100.00% uptime, 32 checks
Oct 2: 100.00% uptime, 32 checks
Oct 3: 100.00% uptime, 32 checks
Oct 4: 100.00% uptime, 32 checks
Oct 5: 100.00% uptime, 32 checks
Oct 6: 100.00% uptime, 32 checks
Oct 7: 100.00% uptime, 32 checks
Oct 8: 100.00% uptime, 32 checks
Oct 9: 100.00% uptime, 32 checks
Oct 10: 100.00% uptime, 32 checks
Oct 11: 100.00% uptime, 32 checks
Oct 12: 100.00% uptime, 32 checks
Oct 13: 100.00% uptime, 32 checks
Oct 14: 100.00% uptime, 32 checks
Oct 15: 100.00% uptime, 32 checks
Oct 16: 100.00% uptime, 32 checks
Oct 17: 100.00% uptime, 29 checks
Oct 18: 100.00% uptime, 32 checks
Oct 19: 100.00% uptime, 32 checks
Oct 20: 100.00% uptime, 32 checks
Oct 21: 100.00% uptime, 32 checks
Oct 22: 100.00% uptime, 32 checks
Oct 23: no data
Sep 24 Today
No downtime Partial Downtime Not measurable No data

Measured by FlareWarden's own checks of pinecone.io from multiple regions every 6 hours. Pinecone's status page sets the verdict above when it reports trouble, but never these figures. Percentages count only checks that returned an availability answer — 62 days measured so far. A dash means that window does not yet hold enough measured days to publish a figure.

What Pinecone does

Pinecone is a managed vector database used to store embeddings and run similarity search, most often behind retrieval-augmented generation features in AI products. Applications write vectors to an index and query it on every user request, so it sits in the hot path of a chatbot or a search feature rather than in a nightly batch job.

What an outage looks like

Queries return errors or hang, and the AI feature built on top answers without its retrieved context or fails outright. Upserts are rejected, so new documents never become searchable. The console may load while indexes are unreachable, or the reverse, because Console and Index Management are tracked apart from the indexes themselves.

What to do about it

Check status.pinecone.io and match the row to your index type and region: Serverless Indexes and Pod Indexes are separate components, each broken out by cloud region such as AWS us-east-1 or GCP europe-west4. Inference and Assistant are listed apart again. Applications that treat retrieval as optional degrade to answering without context, which usually beats failing the whole request.

Is it down for everyone, or just you?

If this page says Pinecone is up but it is not loading for you, the problem is between you and them. Run a check against any URL from up to 17 cities across three regions to find out where it breaks.

Test it yourself

Related services

Pinecone outage FAQ

Is my data lost if Pinecone goes down?
An availability incident affects reaching the index, not the vectors stored in it, and they are there when the service returns. What is lost is the writes that were rejected during the window, so anything you upserted and did not retry is missing. Pipelines that log failed upserts and replay them afterwards are the ones that recover cleanly.
Does a Pinecone outage affect every region?
Rarely. Pinecone reports serverless indexes per cloud region, currently including AWS us-west-2, us-east-1 and eu-west-1, Azure eastus2, and GCP us-central1 and europe-west4, with pod indexes on a longer list again. An incident usually names specific regions, so find the region your index was created in rather than reading the headline.
Why does my chatbot still answer when Pinecone is down?
Because retrieval failed and the model answered from its own training instead. This is the failure mode worth designing for: the application looks healthy while its answers quietly lose their grounding. Logging retrieval errors separately from request errors is what makes it visible, since neither the user nor an uptime check against the app will show anything wrong.
Are Inference and Assistant affected by an index outage?
Not automatically. Pinecone tracks Inference, which generates embeddings, and Assistant as their own components, separate from the index rows, so embeddings can be produced while the index they belong in is unreachable. If your pipeline embeds and upserts in one step, check both rows before concluding which half failed.

How we measure this

  • We request Pinecone's public endpoint every 6 hours from Fly.io regions across six continents — the most recent check ran from 8 of them. When you open this page and our last check is more than 30 minutes old, we check again on the spot; those checks update the verdict, never the availability figures.
  • A region counts as down only when it gets no usable HTTP response. A 403 or 429 means the origin answered and refused us, which we report as blocked, never as an outage.
  • A single failing region is treated as probe noise. Our checks only change their verdict when two consecutive cycles agree.
  • Response times average only the regions that actually served the page, so a timeout never inflates the number.
  • Where Pinecone publishes an official status feed we read it too, and the verdict is the worse of what it reports and what our checks see: a major outage of Pinecone itself is Down, trouble with one part of it is Degraded, problems at a few of a provider's many locations change nothing, and a security notice that marks nothing down is shown but changes nothing either. We check the feed every 3 minutes and read it again within minutes of any change to its incidents or components; a reading counts for 45 minutes after the last check that found nothing changed. The availability figures above are our measurement alone.

Get alerted when Pinecone goes down

We check Pinecone every 6 hours, and again when you open this page if that was more than 30 minutes ago. Your own monitors run as often as every 30 seconds, from up to 17 cities across three regions, and tell you the moment something breaks.

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