Follow the recent outages and downtime for Databricks Azure Model Serving in the table below.
Start Time |
Type |
Length |
Message |
Details |
|||||
---|---|---|---|---|---|---|---|---|---|
April 19, 2024 05:53 UTC |
DOWN |
about 2 hours |
ES-1103602 |
See more
|
|||||
December 13, 2023 06:03 UTC |
MAINT |
about 1 hour |
Azure Database Planned Maintenance |
See more
|
|||||
November 29, 2023 04:33 UTC |
DOWN |
less than a minute |
ES-955975 |
See more
|
|||||
November 29, 2023 04:33 UTC |
DOWN |
about 1 hour |
ES-955975 |
See more
|
|||||
October 13, 2023 00:03 UTC |
MAINT |
less than a minute |
Azure Database Planned Maintenance |
See more
|
|||||
2024-04-20 02:48:08 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
2024-04-20 02:48:08 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
2024-04-20 02:48:08 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
2024-04-20 02:48:08 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
2024-04-20 02:48:08 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more |
Sign Up for More Databricks Azure Model Serving History
StatusGator has almost 4 years of Databricks Azure Model Serving status history.
Databricks Azure Model Serving status, last 24 hours:
Up: 22 hours
Warn: 0 minutes
Down: 2 hours
Maintenance: 0 minutes
We've been monitoring Databricks Azure Model Serving outages since May 24, 2020.
Here's the history of service outages we've observed from the Databricks Azure Model Serving Status Page:
Databricks Azure Model Serving is an Analytics solution that StatusGator has been monitoring since May 2020. Over the past almost 4 years, we have collected data on on more than 1,279 outages that affected Databricks Azure Model Serving users. When Databricks Azure Model Serving publishes downtime on their status page, they do so across 479 components and 12 groups using 4 different statuses: up, warn, down, and maintenance which we use to provide granular uptime metrics and notifications.
More than 100 StatusGator users monitor Databricks Azure Model Serving to get notified when it's down, is under maintenance, or has an outage. We've sent more than 4,900 notifications to our users about Databricks Azure Model Serving incidents, providing transparency and peace of mind. You can get alerts by signing up for a free StatusGator account.
If Databricks Azure Model Serving is having system outages or experiencing other critical issues, red down notifications appear on the status page. In most cases, it means that core functions are not working properly, or there is some other serious customer-impacting event underway.
Warn notifications are used when Databricks Azure Model Serving is undergoing a non-critical issue like minor service issues, performance degradation, non-core bugs, capacity issues, or problems affecting a small number of users.
Databricks Azure Model Serving posts separate notifications for planned maintenance work. StatusGator will notify subscribers when Databricks Azure Model Serving enters a pre-planned maintenance window, keeping you up to date.
Databricks Azure Model Serving does not publish a feed of proactive maintenance events on their status page at this time. If they do, be sure to let us know and we'll aggregate Databricks Azure Model Serving maintenance events into your unified calendar.
When Databricks Azure Model Serving posts issues on their status page, we collect the main headline message and include that brief information or overview in notifications to StatusGator subscribers.
When Databricks Azure Model Serving has outages or other service-impacting events on their status page, we pull down the detailed informational updates and include them in notifications. These messages often include the current details about how the problem is being mitigated, or when the next update will occur.
Because Databricks Azure Model Serving has several components, each with their individual statuses, StatusGator can differentiate the status of each component in our notifications to you. This means, you can filter your status page notifications based on the services, regions, or components you utilize. This is an essential feature for complex services with many components or services spread out across many regions.
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