Update 0.8.0.md

Author: rasika-chivate

docs/release-notes/0.8.0.md

@@ -10,7 +10,7 @@ With 3× to 18× faster processing speeds compared to previous versions, PCSM 0.
 
 ### Document-level parallel replication
 
-PCSM now introduces document-level parallel replication, significantly improving replication performance under heavy workloads. Previously, change stream events were applied sequentially in a single stream, which caused replication lag to grow indefinitely when write throughput lagged behind read throughput. DML events are distributed among multiple workers based on the hashing of document keys. This approach allows for concurrent processing while maintaining the order of operations for each document.
+{{ pcsm.full_name }} now introduces document-level parallel replication, significantly improving replication performance under heavy workloads. Previously, change stream events were applied sequentially in a single stream, which caused replication lag to grow indefinitely when write throughput lagged behind read throughput. DML events are distributed among multiple workers based on the hashing of document keys. This approach allows for concurrent processing while maintaining the order of operations for each document.
 
 To ensure data consistency, {{pcsm.short}} maintains ordering for DDL operations using a write barrier. When a DDL event is encountered, all workers flush their pending operations before the DDL is applied, ensuring correct execution order.
 
@@ -24,7 +24,7 @@ For more information, see our [documentation](https://docs.percona.com/percona-c
 
 ### Async bulk write pipeline
 
-PCSM now improves replication throughput by allowing bulks to be pre‑populated while writes are in progress. Previously, event processing would stall until each bulk write was completed, resulting in filled queues and slowed synchronization. With parallel bulk preparation, replication can continue seamlessly. This improvement reduces idle time and provides faster, more efficient performance under heavy workloads.
+{{ pcsm.full_name }} now improves replication throughput by allowing bulks to be pre‑populated while writes are in progress. Previously, event processing would stall until each bulk write was completed, resulting in filled queues and slowed synchronization. With parallel bulk preparation, replication can continue seamlessly. This improvement reduces idle time and provides faster, more efficient performance under heavy workloads.
 
 For more information, see our [documentation](https://docs.percona.com/percona-clustersync-for-mongodb/install/parameters.html#environment-variables).
 
@@ -63,4 +63,6 @@ For more information, see our [documentation](https://docs.percona.com/percona-c
 
 * [PCSM-257](https://perconadev.atlassian.net/browse/PCSM-257): Fixed an issue where PCSM attempted to recreate a view after encountering transient errors, such as primary stepdowns. In MongoDB 6.0, the view was already created before the error occurred, resulting in a `NamespaceExists` error during the retry. PCSM now correctly handles this situation, preventing replication failures.
 
-* [PCSM-294](https://perconadev.atlassian.net/browse/PCSM-294): Fixed an issue in **Percona ClusterSync for MongoDB (PCSM)** where the service crashed during the change replication phase when handling complex document updates, resulting in **BufBuilder memory exhaustion** and **invalid `$slice` argument errors**. This problem, first observed in customer migrations from **Atlas** to **EKS environments**, has been resolved by improving memory management and validation logic, ensuring stable replication of complex document changes.
+* [PCSM-294](https://perconadev.atlassian.net/browse/PCSM-294): Fixed an issue in {{ pcsm.full_name }} that caused crashes during the change replication phase when processing complex document updates, leading to **BufBuilder memory exhaustion** and invalid $`slice` **argument errors**. First observed in customer migrations from **Atlas** to **EKS environments**, this problem has been addressed by enhancing memory management and refining $slice validation, ensuring reliable replication of complex document changes.
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