Follow the recent outages and downtime for DataRobot AutoML in the table below.
Start Time |
Type |
Length |
Message |
Details |
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---|---|---|---|---|---|---|---|---|---|
April 22, 2024 13:39 UTC |
WARN |
5 minutes |
Increased error rate on US production |
See more
|
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September 18, 2023 19:49 UTC |
WARN |
about 5 hours |
Network Latency/Timeout noticed in Kubeworkers |
See more
|
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January 24, 2023 00:44 UTC |
WARN |
about 5 hours |
Partial outage is detected for some types of Time Series jobs |
See more
|
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January 23, 2023 11:54 UTC |
WARN |
less than a minute |
Partial outage is detected for some types of Time Series jobs |
See more
|
|||||
January 23, 2023 11:54 UTC |
WARN |
about 13 hours |
Partial outage is detected for some types of Time Series jobs |
See more
|
|||||
2024-04-23 15:04:40 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
2024-04-23 15:04:40 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
2024-04-23 15:04:40 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
2024-04-23 15:04:40 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
2024-04-23 15:04:40 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more |
Sign Up for More DataRobot AutoML History
StatusGator has about 2 years of DataRobot AutoML status history.
DataRobot AutoML status, last 24 hours:
Up: 24 hours
Warn: 0 minutes
Down: 0 minutes
Maintenance: 0 minutes
We've been monitoring DataRobot AutoML outages since February 3, 2022.
Here's the history of service outages we've observed from the DataRobot AutoML Status Page:
DataRobot AutoML is a Cloud Infrastructure solution that StatusGator has been monitoring since February 2022. Over the past about 2 years, we have collected data on on more than 142 outages that affected DataRobot AutoML users. When DataRobot AutoML publishes downtime on their status page, they do so across 29 components and 4 groups using 4 different statuses: up, warn, down, and maintenance which we use to provide granular uptime metrics and notifications.
Many StatusGator users monitor DataRobot AutoML to get notified when it's down, is under maintenance, or has an outage. We've sent more than 200 notifications to our users about DataRobot AutoML incidents, providing transparency and peace of mind. You can get alerts by signing up for a free StatusGator account.
If DataRobot AutoML 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 DataRobot AutoML 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.
DataRobot AutoML posts separate notifications for planned maintenance work. StatusGator will notify subscribers when DataRobot AutoML enters a pre-planned maintenance window, keeping you up to date.
Since DataRobot AutoML publishes a feed of proactive maintenance events on their status page, StatusGator will collect information about these events. Maintenance events for all your services can be viewed within StatusGator as a unified feed.
When DataRobot AutoML 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 DataRobot AutoML 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 DataRobot AutoML 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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