Sort changelog in reverse chronological order.

Author: tomaz-s1

CHANGELOG.md

@@ -1,26 +1,30 @@
 # Kafka Connect Scalyr Sink Connector Changes by Release
 
-## 1.0
-Initial Release
+## 1.4
 
-Features:
-* Supports Elastic Filebeat log messages with automatic conversion of Filebeat log messages to Scalyr log events.
-* Supports custom application log messages using user defined conversion of message fields to Scalyr log event attributes.
-* Supports Fluentd and Fluent Bit using custom application event mappings.
-* Exactly once delivery using the topic, partition, and offset to uniquely identify events and prevent duplicate delivery.
+* Address Log4J Arbitrary Code Execution exploit by upgrading to log4j v2.15.0. For more information on the vulnerability
+  see upstream log4j CVE https://nvd.nist.gov/vuln/detail/CVE-2021-44228.
 
-## 1.1
-Performance improvements for JSON serialization.
+## 1.3
+
+Features
+* Regular expression support for custom application event mapping `matcher.value`.
+* `matchAll` support for custom application event mapping matcher.
 
 ## 1.2
+
 * Allow not specifying application attribute fields in custom application event mappings when `send_entire_record` is `true`.
 * Change default `batch_send_size_bytes` to 5 MB.
 
-## 1.3
-Features
-* Regular expression support for custom application event mapping `matcher.value`.
-* `matchAll` support for custom application event mapping matcher.
+## 1.1
+Performance improvements for JSON serialization.
 
-## 1.4
-* Address Log4J Arbitrary Code Execution exploit by upgrading to log4j v2.15.0. For more information on the vulnerability
-  see upstream log4j CVE https://nvd.nist.gov/vuln/detail/CVE-2021-44228.
+## 1.0
+
+Initial Release
+
+Features:
+* Supports Elastic Filebeat log messages with automatic conversion of Filebeat log messages to Scalyr log events.
+* Supports custom application log messages using user defined conversion of message fields to Scalyr log event attributes.
+* Supports Fluentd and Fluent Bit using custom application event mappings.
+* Exactly once delivery using the topic, partition, and offset to uniquely identify events and prevent duplicate delivery.