potiuk commented on code in PR #848:
URL: https://github.com/apache/airflow-site/pull/848#discussion_r1298564849


##########
landing-pages/site/content/en/blog/airflow-2.7.0/index.md:
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@@ -0,0 +1,87 @@
+---
+title: "Apache Airflow 2.7.0 is here"
+linkTitle: "Apache Airflow 2.7.0 is here"
+author: "Jed Cunningham"
+github: "jedcunningham"
+linkedin: "jedidiah-cunningham"
+description: "Apache Airflow 2.7.0 has been released!"
+tags: [Release]
+date: "2023-08-18"
+---
+
+I’m happy to announce that Apache Airflow 2.7.0 has been released! Some 
notable features have been added that we are excited for the community to use.
+
+Apache Airflow 2.7.0 contains over 500 commits, which include 40 new features, 
49 improvements, 53 bug fixes, and 15 documentation changes.
+
+**Details**:
+
+📦 PyPI: https://pypi.org/project/apache-airflow/2.7.0/ \
+📚 Docs: https://airflow.apache.org/docs/apache-airflow/2.7.0/ \
+🛠 Release Notes: 
https://airflow.apache.org/docs/apache-airflow/2.7.0/release_notes.html \
+🐳 Docker Image: "docker pull apache/airflow:2.7.0" \
+🚏 Constraints: https://github.com/apache/airflow/tree/constraints-2.7.0
+
+## Setup and Teardown (AIP-52)
+
+Airflow now has first class support for the concept of setup and teardown 
tasks. These tasks have special behavior in that:
+
+* Teardown tasks will still run, no matter what state the upstream tasks end 
up in
+* Teardown tasks failing won’t, by default, cause the DAG run to fail
+* Automatically clear setup/teardown tasks when clearing a dependent task
+
+You can read more about setup and teardown in the [Introducing Setup and 
Teardown tasks blog post]({{< ref "blog/introducing_setup_teardown/index.md" 
>}}), or in the [setup and teardown 
docs](https://airflow.apache.org/docs/apache-airflow/2.7.0/howto/setup-and-teardown.html).
+
+## Cluster Activity UI
+
+There is a new top level page in Airflow, the Cluster Activity page. This 
gives an overview of the cluster, including component health, dag and task 
state counts, and more!
+
+![New cluster activity page](cluster_activity.png)
+
+## Graph and gantt views moved into the Grid view UI
+
+The graph and gantt views have been rewritten and moved into the now familiar 
grid view. This makes it easier to jump between task details, logs, graph, and 
gantt views without losing your place in a complicated DAG.
+
+![Graph in grid view](graph_in_grid.png)
+
+## Enable deferrable mode for all deferable tasks with 1 config setting
+
+Airflow 2.7.0 comes with a new config option, `default_deferrable`, which 
allows admins to enable deferrable mode for all deferrable tasks without 
requiring any DAG modifications. Simply set it in your config and enjoy async 
tasks!
+
+## OpenLineage built-in integration
+
+[OpenLineage](https://openlineage.io/) provides a spec standardizing 
operational lineage collection and distribution across the data ecosystem that 
projects – open source or proprietary – implement.
+
+With 2.7.0, OpenLineage changes from a plugin implementation maintained in the 
OpenLineage project to a built-in feature of Airflow. As a plugin, OpenLineage 
depended on Airflow and operators’ internals, making it brittle. Built-in 
OpenLineage support in Airflow makes publishing operational lineage through the 
OpenLineage ecosystem easier and more reliable. It has been implemented by 
moving the 
[openlineage-airflow](https://github.com/OpenLineage/OpenLineage/tree/main/integration/airflow)
 package from the OpenLineage project to an 
`apache-airflow-providers-openlineage` provider in the base Airflow Docker 
image, where it can be easily enabled by configuration. Also, lineage 
extraction logic that was included in 
[Extractors](https://github.com/OpenLineage/OpenLineage/tree/main/integration/airflow/openlineage/airflow/extractors)
 in that package has been moved into each corresponding provider package along 
with unit tests, eliminating the need for Extractors in most cases. For this pu
 rpose, a new optional API for Operators (`get_openlineage_facets_on_{start(), 
complete(ti), failure(ti)}`, documented 
[here](https://openlineage.io/docs/integrations/airflow/default-extractors)) 
can be used. Having the extraction logic in each provider ensures the stability 
of the lineage contract in each operator and makes adding lineage coverage to 
custom operators easier.
+
+## Some executors moved into providers
+
+Some of the executors that were shipped in core Airflow have moved into their 
respective providers for Airflow 2.7.0.
+
+The following providers have been moved and require certain minimum providers 
versions:
+
+* In order to use Celery executors, install the celery provider version 3.3.0+
+* In order to use the Kubernetes executor, install the kubernetes provider 
version 7.4.0+
+* In order to use the Dask executor, install any version of the daskexecutor 
provider

Review Comment:
   Check it out @jedcunningham -> You might have not realized we shortened it 
and separated Changelog to separate page for providers and added links to it 
instead of having it all there (It's been far too long and messy before).



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