Dagster, a workflow management platform, has improved its logging capabilities to make it easier for users to navigate and connect logs to specific computations. The new features allow log messages to be created without a `context` object, making it more convenient to log information in certain scenarios. Users can also capture other Python logs using the `get_dagster_logger()` function or by specifying logger names in the `dagster.yaml` file. Additionally, Dagster now offers instance-wide log handling, enabling users to define logging handlers that apply to all job runs on an instance. These improvements aim to simplify pipelines with custom, uniform logging policies and make it easier for users to create, view, and export important information about their jobs.