Elasticsearch incident in AWS EU Central region

We are experiencing timeouts during communication with Elasticsearch running in the AWS EU Central region. It affects the ability of Connection to create Storage events. 

We are investigating the problem and let you know about its progress in an hour.

UPDATE 2021-07-13 13:30 UTC: We confirmed that the problems are caused by an incident with EC2 instances in AWS (see their status page for more details. We are monitoring the situation. Next update in an hour.

UPDATE 2021-07-13 14:30 UTC: AWS is working on resolving the connectivity issues and our monitoring seems to be calming down too so probably the problems will be fixed soon. Next update in an hour.

UPDATE 2021-07-13 15:30 UTC: AWS resolved the connectivity issues and we are replacing all affected instances preventively to eliminate other potential problems. 

Snowflake operations failing

We are experiencing troubles with loading data to Snowflake, probably related to null values in columns set as PK. The issue causes some jobs to fail with the error "NULL result in a non-nullable column" or similar. The issue affects different snowflake components (transformations, writer)

We're investigating the causes for this issue. Next update in one hour.

UPDATE 8:40 UTC: We are still investigating the problem. We managed to reproduce the problem in a test and are performing other steps to find the root cause. Next update in one hour.

UPDATE 9:00 UTC: The root cause of the problem is the fact that Snowflake did not implement NOT NULL constraint on columns set as primary keys in the past but started to enforce it in the latest release. See this announcement for further details: https://docs.snowflake.com/en/release-notes/2021-06-bcr.html#create-table-command-change-to-enforcement-of-primary-keys-created-by-command 

You can fix the problem immediately by removing the null values from columns set as primary keys. We are talking to Snowflake support if it is possible to put back the behavior for selected tables or databases for customers who cannot fix it easily now (as it would e.g. break some incremental loading settings) so please reach us at support@keboola.com if you are in such situation. 

UPDATE 10:00 UTC: We were able to roll back this change with Snowflake support and postpone it for four weeks, giving you time to prepare your data. If you are running your own Snowflake warehouse you will need to disable this change on your own.

UPDATE 11:02 UTC: We've verified in multiple jobs that the issue has been resolved on all our Snowflake accounts.
Unfortunately, there were cases where the issue was not mitigated. The reason is that the change has been released worldwide to all Snowflake clients. So if you're using your own Snowflake account in Keboola (either as backend or in Snowflake writer), you need to rollback the release bundle on your Snowflake account as well.
You need to run the following query on your Snowflake instance


You will need ACCOUNTADMIN role to do that. This will temporarily rollback the problematic behavior. We will either provide a fix on platform level if possible or publish a migration guide to mitigate this once this change will be reenabled in approximately 4 weeks. 

Increased error rate on Snowflake backend in all stacks

Since 2021-06-30 18:00 UTC we are experiencing increased errors on Snowflake backend in all stacks due an incident in Snowflake. We are going to monitor the situation and keep you posted. 

Update 19:07 UTC
Snowflake identified the root cause and they continue working on mitigating the problem.

Update 20:07 UTC
Snowflake claims that infrastructure is up and running. 

Update 2021-07-02 07:30 UTC
Snowflake has published report about the incident 

New Python/R Workspaces Data Loading Issue In AWS

Today, June 14, 2021, we released a number of new features on our AWS stacks.

Unfortunately we have noticed an issue that when loading larger datasets to the new Python or R workspaces the job will fail.

We're investigating the root cause and will update here when we know more or the issue gets resolved. 

UPDATE 17:59 UTC  - We've deployed fix which should resolve the loading issues. We continue to monitor the situation.

Slowdown processing of Transformation jobs in AWS EU stack

Beginning with 4:05 UTC 2021-06-11 we're seeing slowdown processing of transformation jobs in AWS EU stack. We're working on a fix. Next update in 30 minutes.

UPDATE 7:02 UTC We increased capacity of infrastructure and the situation is better. We continue to monitor the situation.

UPDATE 7:30 UTC  The situation is stable. All operations are back to normal. We're sorry for this inconvenience.

Python transformation update

The current environment for transformations is fairly outdated (due to compatibility concerns) and needs an update. New transformation environments are now available with an update plan. You may choose to leave your environment in auto update mode or lock your environment to either the current or the future version.

Action needed:
If you want to prevent the new transformations from being updated automatically later this month, you must select the version you wish to use. This update is planned for June 22, 2021.

The following options are available:

  • Leave your setting as is: “1.4.1 - Python 3.8.5 + Pandas 0.25.3 (updates automatically)”. The transformations will update automatically to Python 3.9.5 + Pandas 1.2.4 on June 22, 2021. We recommend choosing this option if you are not relying on Pandas, as it is very likely that your transformations will work without any changes.
  • Lock your transformation environment to the current version by selecting “0.3.3 - Python 3.8.5 + Pandas 0.25.3 (locked)”. The update on June 22 will not affect the transformation.
  • Lock your transformation to the latest future version: “Python 3.9.5 + Pandas 1.2.4 (locked)”. The update on June 22 will not affect the transformation.
  • If you do not want to jump versions, you can choose to lock your transformation to an intermediate version: “Python 3.8.10 + Pandas 1.1.5 (locked)”. The update on June 22 will not affect the transformation.

The Sandbox and Workspace environments will keep running the current version until the switch date on June 22, 2021, at which point they will switch to the latest version (we're jumping the intermediate Python 3.8.10 + Pandas 1.1.5). If you want to continue to use the current (outdated) version of Pandas in the Sandbox/Workspace after this date, you'll have to install it manually.

In the future, we will also be offering at least two versions of the Python transformations: one that updates automatically (the default and current behavior) and one that does not auto-update. That way you can always choose whether your transformation environment is auto-updating or not.

Increased error rate for Python transformations

We're seeing increased user error rate in Python transformation jobs since May 25 16:08 UTC. Most common error message is "ERROR: pip's dependency resolver does not currently take into account all the packages that are installed." but also other errors may appear.

We're sorry for this inconvenience, we're actively investigating the issue. Next update in 30 minutes

Update 07:28 UTC: We have rolled back Python transformations from version 1.4.1 to version 1.4.0 and everything seems to be working again. If you encounter further issues please get in touch with us. We'll be monitoring this issue and post an update in one hour. 

Update 08:36 UTC: The situation is stable, we're not seeing any further errors since the rollback. Please accept our apology for the inconvenience. 

Job errors in Azure North Europe region

From 2021-05-18 21:13 UTC to 2021-05-19 05:06 UTC we experienced increased jobs failures in the Azure North Europe region.

These errors were caused by a faulty deploy on a single node. The deploy has been fixed and the situation is back to normal and you can restart the failed jobs.

We're sorry for this inconvenience.