Follow the recent outages and downtime for Databricks Azure MLFlow in the table below.
|
Start Time |
Type |
Length |
Message |
Details |
|||||
|---|---|---|---|---|---|---|---|---|---|
|
April 19, 2024 14:03 UTC |
MAINT |
less than a minute |
Nephos DB Split Planned Maintenance |
See more
|
|||||
|
April 19, 2024 14:03 UTC |
MAINT |
about 10 hours |
Nephos DB Split Planned Maintenance |
See more
|
|||||
|
April 19, 2024 05:53 UTC |
DOWN |
less than a minute |
ES-1103602 |
See more
|
|||||
|
April 19, 2024 05:53 UTC |
DOWN |
about 2 hours |
ES-1103602 |
See more
|
|||||
|
April 06, 2024 23:03 UTC |
MAINT |
about 15 hours |
Nephos DB Split Planned Maintenance |
See more
|
|||||
|
2024-04-29 03:46:52 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
|
2024-04-29 03:46:52 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
|
2024-04-29 03:46:52 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
|
2024-04-29 03:46:52 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
|
2024-04-29 03:46:52 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more |
Sign Up for More Databricks Azure MLFlow History
StatusGator has almost 4 years of Databricks Azure MLFlow status history.
Databricks Azure MLFlow status, last 24 hours:
Up: 24 hours
Warn: 0 minutes
Down: 0 minutes
Maintenance: 0 minutes
We've been monitoring Databricks Azure MLFlow outages since May 24, 2020.
Here's the history of service outages we've observed from the Databricks Azure MLFlow Status Page:
Databricks Azure MLFlow 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 MLFlow users. When Databricks Azure MLFlow 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 MLFlow 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 MLFlow incidents, providing transparency and peace of mind. You can get alerts by signing up for a free StatusGator account.
If Databricks Azure MLFlow 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 MLFlow 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 MLFlow posts separate notifications for planned maintenance work. StatusGator will notify subscribers when Databricks Azure MLFlow enters a pre-planned maintenance window, keeping you up to date.
Databricks Azure MLFlow 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 MLFlow maintenance events into your unified calendar.
When Databricks Azure MLFlow 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 MLFlow 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 MLFlow 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.
Can’t find your question? Email us to arrange a time to discuss. We’d love to chat!
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