Follow the recent outages and downtime for Databricks Azure Data Flows in the table below.
|
Start Time |
Type |
Length |
Message |
Details |
|||||
|---|---|---|---|---|---|---|---|---|---|
|
April 06, 2024 23:03 UTC |
MAINT |
about 15 hours |
Nephos DB Split Planned Maintenance |
See more
|
|||||
|
March 30, 2024 17:03 UTC |
MAINT |
less than a minute |
Nephos DB Split Planned Maintenance |
See more
|
|||||
|
March 30, 2024 17:03 UTC |
MAINT |
about 8 hours |
Nephos DB Split Planned Maintenance |
See more
|
|||||
|
March 27, 2024 16:03 UTC |
MAINT |
less than a minute |
Maintenance Notification from Azure Databricks on GovCloud |
See more
|
|||||
|
March 27, 2024 16:03 UTC |
MAINT |
about 6 hours |
Maintenance Notification from Azure Databricks on GovCloud |
See more
|
|||||
|
2024-04-11 04:01:52 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
|
2024-04-11 04:01:52 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
|
2024-04-11 04:01:52 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
|
2024-04-11 04:01:52 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
|
2024-04-11 04:01:52 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more |
Sign Up for More Databricks Azure Data Flows History
StatusGator has almost 4 years of Databricks Azure Data Flows status history.
Databricks Azure Data Flows status, last 24 hours:
Up: 24 hours
Warn: 0 minutes
Down: 0 minutes
Maintenance: 0 minutes
We've been monitoring Databricks Azure Data Flows outages since May 24, 2020.
Here's the history of service outages we've observed from the Databricks Azure Data Flows Status Page:
Databricks Azure Data Flows 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 Data Flows users. When Databricks Azure Data Flows 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 Data Flows 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 Data Flows incidents, providing transparency and peace of mind. You can get alerts by signing up for a free StatusGator account.
If Databricks Azure Data Flows 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 Data Flows 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 Data Flows posts separate notifications for planned maintenance work. StatusGator will notify subscribers when Databricks Azure Data Flows enters a pre-planned maintenance window, keeping you up to date.
Databricks Azure Data Flows 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 Data Flows maintenance events into your unified calendar.
When Databricks Azure Data Flows 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 Data Flows 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 Data Flows 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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