Model monitoring
Model Monitoring is in TechPreview status in v1.7.0.
* **ML-5459**: Improved support for unstructured data handling, including for LLMs.|
* **ML-5460**: The model monitoring now has a [per-endpoint view](https://docs.mlrun.org/en/stable/model-monitoring/index.html#model-and-model-monitoring-endpoints) that presents information data on the monitoring metrics.
* **ML-5851**: Model monitoring supports Kafka or V3IO as streaming platforms, and TDEngine or V3IO as TSDB platforms. See [Selecting the streaming and TSDB platforms](.https://docs.mlrun.org/en/stable/model-monitoring/index.html#selecting-the-streaming-and-tsdb-platforms).
Alerts
* **ML-5287**: You can now configure [alerts](https://docs.mlrun.org/en/stable/concepts/alerts.html) for model monitoring and other possible problem situations. TechPreview.
Projects
* **ML-3874**: Node selector can now be [defined in the project spec](https://docs.mlrun.org/en/stable/runtimes/configuring-job-resources.html#node-selection).
Artifacts
* **ML-2585**: When deleting a artifact, you can also [delete the data of a single artifact](https://docs.mlrun.org/en/stable/store/artifacts.html#deleting-artifacts).
Runtimes
* **ML-2652**: Supports [creating an API gateway using the MLRun SDK](https://docs.mlrun.org/en/stable/concepts/nuclio-real-time-functions.html#api-gateway).
* **ML-4601**: New [application runtime](https://docs.mlrun.org/en/stable/runtimes/application.html) where you can provide an image (for example, a web-app) that runs as a Kubernetes deployment.
Workflows
* **ML-6885**: You can now add run details to the notification by using `{{ runs }}` in the `override_body` section in notifications. See [Configuring notifications for runs](https://docs.mlrun.org/en/stable/concepts/notifications.html#configuring-notifications-for-runs). Webhook notification now contains run logs when `override_body=True`
Functions
* **ML-4248**: You can now load models from a json file instead of adding all the models to the function spec.
Serving graph
* **ML-6015**: Storey/Nuclio serving graph: supports [concurrent processing](https://docs.mlrun.org/en/stable/serving/model-serving-get-started.html#concurrent-processing), typically used for serving of deep-learning models, where preparation steps and inference can be CPU/GPU heavy, or involving I/O.
Data store
* **ML-5726**: Add support for [Hadoop/hdfs datastore](https://docs.mlrun.org/en/stable/store/datastore.html#hdfs-data-store-profile).
Notifications
* **ML-6644**: Explicit control of the configuration for the [Pipeline started](https://docs.mlrun.org/en/stable/concepts/notifications.html#configuring-notifications-for-pipelines) notification.
Breaking changes
* **ML-5741/3206**: The new flag `allow_cross_project` ([`get_or_create_project`](https://docs.mlrun.org/en/stable/api/mlrun.projects/index.html#mlrun.projects.get_or_create_project) and [`load_project`](https://docs.mlrun.org/en/stable/api/mlrun.projects/index.html#mlrun.projects.load_project)) gives you options to manage a situation where you call `get_or_create_project` or `load_project` and there is already a `project.yaml` with a different project name. In v1.7 and v1.8 `allow_cross_project` is set to None by default, meaning if there is a mismatch in the name, you get a warning (that the project name is different than the `project.yaml`) and then the flow continues. If `allow_cross_project` is False, an exception is raised. And if `allow_cross_project` is True, the flow continues. (Prior to v1.9 you should set `allow_cross_project` to either True or False; the None option will be deprecated.)
Feature store
* **ML-3303**: Optimized the parquet read when the partitioning is on fields other than the timestamp.
* **ML-5656**: Add [Snowflake as an offline target store](https://docs.mlrun.org/en/stable/feature-store/sources-targets.html#snowflake-target)
UI
* **ML-4666**: The new cross-project view gives a summary of all jobs, workflows, and schedules that ran in the last 24 hours. <img width="959" alt="image" src="https://github.com/user-attachments/assets/a2f4658b-e9ec-4558-954a-f782c4921d1b">
* **ML-5140**: Improved responsiveness for runs and functions.
* **ML-5846**: The Filter in the **Projects>ML Functions** table is now a popup menu.
* **ML-6275**: The **Projects** dashboard now notifies when MLRun isn't reachable Model monitoring
See also the [change log in the MLRun documentation](https://docs.mlrun.org/en/stable/change-log/index.html#v1-7-0-1-november-2024)