Hosting
Upstash
Upstash provides serverless Redis and Kafka with per-request pricing, built for edge and serverless environments.
What is Upstash?
Upstash built its product around the insight that Redis and Kafka — two of the most widely adopted infrastructure components in modern applications — had a serverless gap. Traditional Redis deployment meant a persistently running instance that charged for idle time; Upstash's serverless Redis charges per request, scales to zero when inactive, and distributes data across a global network of points of presence so that reads can be served from the location closest to the caller. The addition of serverless Kafka and a durable QStash message queue product rounded out an offering aimed squarely at the edge computing and serverless developer audience.
The global replication architecture is central to Upstash's value proposition and also to its failure surface. A globally replicated Redis database must synchronise write operations across multiple regions, and the consistency model — strong consistency vs. eventual consistency — affects how write failures in one region impact reads in others. Upstash's REST API, which allows Redis commands to be issued over HTTP rather than the raw Redis protocol, enables access from JavaScript runtimes that cannot open persistent TCP connections. That REST layer is an additional service dependency that can degrade independently from the underlying Redis storage.
Developers encountering Upstash problems typically see Redis connection errors from the upstash/redis SDK, or HTTP errors from the REST API endpoint. Latency-sensitive applications that rely on Upstash for session storage or rate limiting surface incidents as slow response times before hard failures begin. QStash message delivery — which Upstash guarantees at-least-once with configurable retry logic — can be delayed when the delivery infrastructure is impaired, causing event-driven workflows to stall without visible error until the retry window is exhausted. The Upstash console, used for monitoring command throughput and managing database configuration, can be unavailable independently of the data path.
Outage.gg monitors Upstash service health using community-submitted reports from developers. If Redis commands are failing, QStash messages are not being delivered, or the REST API is returning errors, the live status page shows current incident data.
Common Upstash Problems
Issues users most frequently report when Upstash is having problems.
Service unavailability
API calls are failing, dashboards are unreachable, or the service is returning 5xx errors.
Slow performance / high latency
Response times are significantly above normal, causing timeouts and degraded user experience.
Authentication failures
API keys, OAuth tokens, or SSO logins are being rejected unexpectedly.
Data sync & storage issues
Files, databases, or synced data are not updating, missing, or inaccessible.
Frequently Asked Questions
Common questions about Upstash outages and server status.
You can check the live Upstash server status at outage.gg/services/upstash. The page shows real-time community-submitted outage reports, an hourly trend chart, and the current health status.
Upstash can stop working for a number of reasons including scheduled maintenance windows, unexpected server failures, network infrastructure problems, or DDoS attacks. Check the live status page on Outage.gg for the latest community reports to see if others are experiencing the same issue.
Go to outage.gg/services/upstash and click the "Report an Issue" button. Your report is counted immediately and helps confirm whether a problem is widespread. Reports from multiple users trigger a status change visible to everyone watching the page.
Click the "Notify Me" bell button on the Upstash status page at outage.gg/services/upstash. Create a free account and we will send you an email the moment Upstash comes back online — no app download required.
Many services maintain official status pages with planned maintenance notices. Outage.gg aggregates real-time community-reported outages which often surface faster than official channels.
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