jobs | PGSQL based work queue , with an asyncio asyncpg python API | Job Scheduling library

There are two approaches that are possible. The first is to use a suborchestrator for each job so that each suborchestrator handles just a specific job. Here is the docs for this approach https://docs.microsoft.com/en-us/azure/azure-functions/durable/durable-functions-sub-orchestrations?tabs=csharp Example from docs seem to be alike to yours.

The other is to use ContinueWith so that each job has its own "chain"

To avoid the page from crashing, add the user-agent header to the headers= parameter in requests.get(), otherwise, the page thinks that your a bot and will block you.

You are using cmake. The makefiles generated by cmake don't conform to "standard" makefile conventions; in particular they don't use the CXXFLAGS variable.

When you're using cmake, you're not expected to modify the compiler options by changing the invocation of make. Instead, you're expected to modify the compiler options by either editing the CMakeLists.txt file, or else by providing an overridden value to the cmake command line that is used to generate your makefiles.

You can use two levels of aggregation -- the inner one to get the status per parent and device. For this, you can actually use min(taskStatus) to get the status:

Ok, this should work. Remove the last line - run: git push from your action. Then add the following.

try this code, if you project allows you to create classes for the JSON you receives.

first created these classes

The services you mention (mostly) live outside of VPCs.

VPCs are used for services that use virtual computers, such as Amazon EC2 computers and Amazon RDS databases.

By using services that don't involve specific 'computers' (such as Amazon S3, Athena, QuickSight) you can take advantage of much lower costs, paying only what you use. These services do not mimic traditional servers and therefore don't need VPCs. All the networking complexity is hidden and you can concentrate on using the service instead of running a network.

Yes, VPCs add extra security, but that's only because resources on a VPC need securing due to potential security holes. The services you mention are all secured via IAM and do not expose themselves outside the published APIs.

This is because your ItemProcessorSurveillance implements two interfaces: ItemProcessor and StepExecutionListener but is only registered as an ItemProcessor in the step. It should also be registered as a listener so that beforeStep is called when appropriate to set the stepExecution field.

Support for _PIP_ADDITIONAL_REQUIREMENTS environment variable has not been released yet. It is only supported by the developer/unreleased version of the docker image. It is planned that this feature will be available in Airflow 2.1.1. For more information, see: Adding extra requirements for build and runtime of the PROD image.

For the older version, you should build a new image and set this image in the docker-compose.yaml. To do this, you need to follow a few steps.

1. Create a new Dockerfile with the following content: