Merge pull request #250555 from ekote/24depr

2.4 will be deprecated soon

Author: prmerger-automator[bot]

articles/synapse-analytics/spark/apache-spark-24-runtime.md

@@ -15,9 +15,8 @@ ms.custom: has-adal-ref, devx-track-dotnet, devx-track-extended-java, devx-track
 Azure Synapse Analytics supports multiple runtimes for Apache Spark. This document will cover the runtime components and versions for the Azure Synapse Runtime for Apache Spark 2.4.
 
 > [!IMPORTANT]
-> * End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 2.4 has been announced July 29, 2022. 
-> * End of life announced (EOLA) runtime will not have bug and feature fixes. Security fixes will be backported based on risk assessment.
-> * In accordance with the Synapse runtime for Apache Spark lifecycle policy, Azure Synapse runtime for Apache Spark 2.4 will be retired and disabled as of September 29, 2023. 
+> * End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 2.4 has been announced July 29, 2022.
+> * In accordance with the Synapse runtime for Apache Spark lifecycle policy, Azure Synapse runtime for Apache Spark 2.4 will be retired and disabled as of September 29, 2023. After the EOL date, the retired runtimes are unavailable for new Spark pools and existing workflows can't execute. Metadata will temporarily remain in the Synapse workspace.
 > * We recommend that you upgrade your Apache Spark 2.4 workloads to version 3.3 at your earliest convenience. 
 
 ## Component versions

articles/synapse-analytics/spark/apache-spark-3-runtime.md

@@ -17,7 +17,7 @@ Azure Synapse Analytics supports multiple runtimes for Apache Spark. This docume
 > [!IMPORTANT]
 > * End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 3.1 has been announced January 26, 2023. 
 > * End of life announced (EOLA) runtime will not have bug and feature fixes. Security fixes will be backported based on risk assessment.
-> * In accordance with the Synapse runtime for Apache Spark lifecycle policy, Azure Synapse runtime for Apache Spark 3.1 will be retired and disabled as of January 26, 2024. 
+> * In accordance with the Synapse runtime for Apache Spark lifecycle policy, Azure Synapse runtime for Apache Spark 3.1 will be retired and disabled as of January 26, 2024. After the EOL date, the retired runtimes are unavailable for new Spark pools and existing workflows can't execute. Metadata will temporarily remain in the Synapse workspace.
 > * We recommend that you upgrade your Apache Spark 3.1 workloads to version 3.3 at your earliest convenience. 
 
 ## Component versions

articles/synapse-analytics/spark/apache-spark-32-runtime.md

@@ -18,7 +18,7 @@ Azure Synapse Analytics supports multiple runtimes for Apache Spark. This docume
 > [!IMPORTANT]
 > * End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023.
 > * End of life announced (EOLA) runtime will not have bug and feature fixes. Security fixes will be backported based on risk assessment.
-> * In accordance with the Synapse runtime for Apache Spark lifecycle policy, Azure Synapse runtime for Apache Spark 3.2 will be retired and disabled as of July 8, 2024.
+> * In accordance with the Synapse runtime for Apache Spark lifecycle policy, Azure Synapse runtime for Apache Spark 3.2 will be retired and disabled as of July 8, 2024. After the EOL date, the retired runtimes are unavailable for new Spark pools and existing workflows can't execute. Metadata will temporarily remain in the Synapse workspace.
 > * We recommend that you upgrade your Apache Spark 3.2 workloads to version 3.3 at your earliest convenience. 
 
 ## Component versions

articles/synapse-analytics/spark/runtime-for-apache-spark-lifecycle-and-supportability.md

@@ -1,12 +1,12 @@
 ---
 title: Synapse runtime for Apache Spark lifecycle and supportability
 description: Lifecycle and support policies for Synapse runtime for Apache Spark
-author: DaniBunny 
+author: ekote 
 ms.service: synapse-analytics 
 ms.topic: reference
 ms.subservice: spark
 ms.date: 07/19/2022
-ms.author: dacoelho 
+ms.author: ekote 
 ms.reviewer: wiassaf
 ---
 
@@ -68,12 +68,12 @@ Prior to the end of the runtime lifecycle at any stage, an end of life announcem
 
 Support SLAs are applicable for EOL announced runtimes, but all customers must migrate to a GA stage runtime no later than the EOL date.
 
-Existing Synapse Spark pools will function as expected, and new pools of the same version can be created. The runtime version will be listed on Azure Synapse Studio, Synapse API, or Azure portal. At the same time, we strongly recommend migrating your workloads to the latest General Availability (GA) runtimes.
+During the EOLA stage, existing Synapse Spark pools will function as expected, and new pools of the same version can be created. The runtime version will be listed on Azure Synapse Studio, Synapse API, or Azure portal. At the same time, we strongly recommend migrating your workloads to the latest General Availability (GA) runtimes.
 
 If necessary due to outstanding security issues, runtime usage, or other factors, **Microsoft may expedite moving a runtime into the final EOL stage at any time, at Microsoft's discretion.**
 
 ### End of life date and retirement
-As of the applicable EOL date, runtimes are considered retired and deprecated.
-* It's not possible to create new Spark pools of the retirement version through Azure Synapse Studio, Synapse API, or Azure portal.
-* The retirement runtime version won't not be available on Azure Synapse Studio, Synapse API, or Azure portal.
-* Spark Pools definitions and associated metadata will remain in the Synapse workspace for a defined period after the applicable End-of-Life (EOL) date; **however, all pipelines, jobs and notebooks will no longer be able to execute.**
+As of the applicable EOL (End-of-Life) date, runtimes are considered retired and deprecated.
+* It is not possible to create new Spark pools using the retired version through Azure Synapse Studio, the Synapse API, or the Azure portal.
+* The retired runtime version will not be available in Azure Synapse Studio, the Synapse API, or the Azure portal.
+* Spark Pool definitions and associated metadata will remain in the Synapse workspace for a defined period after the applicable End-of-Life (EOL) date. **However, all pipelines, jobs, and notebooks will no longer be able to execute.**