Update RELEASE_NOTES.md
diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index 02d85e4..ebda811 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -1,61 +1,62 @@
-# DataLab is Self-service, Fail-safe Exploratory Environment for Collaborative Data Science Workflow
+# DLab is Self-service, Fail-safe Exploratory Environment for Collaborative Data Science Workflow
-## New features in v2.5.0
+## New features in v2.4.0
**All Cloud platforms:**
-- Implemented Configuration page. Now DataLab administrators can view, edit configuration files and restart the services;
-- Implemented localization. Now the DataLab UI is automatically updated to a specific location (e.g., date and time format, currency view etc.);
+- Implemented bucket browser. Now user is able to manage Cloud data source by means of accessing Cloud Blob Storage from DLab Web UI;
+- Added support of audit. Now DLab administrators can view history of all actions;
- Updated versions of installed software:
- * Ubuntu v.20.04;
- * Python v.3.x;
- * Pip v.21.0.1;
- * R v.4.1.0;
- * Angular v.10.2.2;
- * Jupyter notebook v.6.1.6;
- * RStudio notebook v.1.4.1103;
- * Apache Zeppelin notebook v.0.9.0;
- * TensorFlow notebook v.2.5.0;
- * Apache Spark v.3.0.1;
- * Ungit v.1.5.15.
+ * Ubuntu v.18.04;
+ * TensorFlow notebook v.2.1.0;
+ * MongoDB v.4.2.
**AWS:**
-- Added support of new version of Data Engine Service (EMR) v.6.2.0.
+- Added support of new version of Data Engine Service (EMR) v.5.30.0 and v.6.0.0.
-**GCP:**
-- Added support of new version of Data Engine Service (Dataproc) v.2.0.0-RC22-ubuntu18.
-
-## Improvements in v2.5.0
+## Improvements in v2.4.0
**All Cloud platforms:**
-- Added DeepLearning notebook creation based on Cloud native image;
-- Added specific python versions via virtual environments for all notebooks and compute resources (except Data Engine Service and DeepLearning).
+- Added support of connection via Livy and SparkMagic for Jupyter and RStudio notebooks;
+- Added ability to select multiple resources on 'Environment management' to make user experience easier and more intuitive;
+- Added support to install libraries of particular version from DLab Web UI. Also, now user is able to update/downgrade library via Web UI;
+- Extended billing functionality introducing new entity - monthly project quota(s);
+- Added notifications for cases when project quota is exceeded;
+- Conveyed analytical environment URL's to DLab administration page.
**GCP:**
-- Added optional notebook/compute creation with GPU for Jupyter notebook, Data Engine Service (Dataproc) and Data Engine (standalone cluster).
+- Added possibility to create custom image for notebook.
-## Bug fixes in v2.5.0
+## Bug fixes in v2.4.0
**All Cloud platforms:**
-- Fixed a bug when instance status on the DataLab WEB UI was not synched up with Cloud instance status after provisioning restart;
-- Fixed a bug when Spark executor memory was not allocated in depends on notebook instance shape;
-- Fixed a bug when reminder about notebook stopping continued to show up after scheduler had been triggered;
-- Fixed a bug when library status did not change on the DataLab WEB UI in case of unknown library name installation.
+- Fixed a bug when administrative permissions disappeared after endpoint connectivity issues;
+- Fixed a bug when all resources disappeared in 'List of resources' page after endpoint connectivity issues;
+- Fixed a bug when administrative role could not be edited for already existing group;
+- Fixed a bug when billing report was not populated in Safari;
+- Fixed a bug with discrepancies in detailed billing and in-grid billing report.
-## Known issues in v2.5.0
**GCP:**
-- Superset creation fails during configuration;
+- Fixed a bug when billing was not correctly updated for period overlapping two calendar years;
+
+**Microsoft Azure:**
+- Fixed a rare bug when notebooks or SSN were not always created successfully from the first attempt.
+
+## Known issues in v2.4.0
+**GCP:**
- SSO is not available for Superset.
**Microsoft Azure:**
-- Notebook WEB terminal does not work for remote endpoint.
+- Notebook creation fails on RedHat;
+- Web terminal is not working for Notebooks only for remote endpoint.
-*Refer to the following link in order to view other major/minor issues in v2.5.0:*
+*Refer to the following link in order to view the other major/minor issues in v2.4.0:*
-[Apache DataLab: Known issues](https://issues.apache.org/jira/issues/?filter=12350724 "Apache DataLab: Known issues")
+[Apache DLab: Known issues](https://issues.apache.org/jira/issues/?filter=12349399 "Apache DLab: Known issues")
-## Known issues caused by cloud provider limitations in v2.5.0
+## Known issues caused by cloud provider limitations in v2.4.0
**Microsoft Azure:**
- Resource name length should not exceed 80 chars;
+- TensorFlow templates are not supported for RedHat Enterprise Linux;
+- Low priority Virtual Machines are not supported yet.
**GCP:**
- Resource name length should not exceed 64 chars;
-
-**NOTE:** the DataLab has not been tested on GCP for RedHat Enterprise Linux.
+- NOTE: DLab has not been tested on GCP for RedHat Enterprise Linux.
