DOCS-822: Overview / What is... changes for 5.4

oliverhowell · May 23, 2024 · 8918016 · 8918016
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Showing 2 changed files with 3 additions and 7 deletions.
diff --git a/docs/modules/ROOT/nav.adoc b/docs/modules/ROOT/nav.adoc
@@ -1,5 +1,5 @@
 .Get Started
-* xref:index.adoc[]
+* xref:index.adoc[What is Hazelcast Platform]
 * xref:whats-new.adoc[What's New in 5.4]
 include::getting-started:partial$nav.adoc[]
 

diff --git a/docs/modules/ROOT/pages/index.adoc b/docs/modules/ROOT/pages/index.adoc
@@ -1,4 +1,4 @@
-= Hazelcast Overview
+= What is Hazelcast Platform?
 :!page-pagination:
 :description: Hazelcast Platform uniquely combines a distributed compute engine and a fast data store in one runtime. It offers unmatched performance, resilience and scale for real-time and AI-driven applications. 
 
@@ -19,8 +19,6 @@ machines; replication gives you resilience to failures of cluster members.
 Hazelcast is implemented in Java language and has clients for Java, C++, .NET, REST, Python,
 Go and Node.js. Hazelcast also speaks Memcached and REST protocols.
 
-include::clients:partial$rest-deprecation.adoc[]
-
 Your cloud-native applications can easily use Hazelcast.
 It is flexible enough to use as a data and computing platform out-of-the-box
 or as a framework for your own cloud-native applications and microservices.
@@ -129,7 +127,7 @@ among the available cluster members. They can contain hundreds or thousands of d
 depending on the memory capacity of your system. Hazelcast also automatically creates backups of these partitions
 which are also distributed in the cluster. This makes Hazelcast resilient to data loss.
 
-NOTE: _Node_ and _Member_ are interchangeable, and both mean a Java Virtual Machine (JVM) on which one or more instances of Hazelcast are in operation.
+NOTE: “Node” and “Member” are interchangeable, and both mean a Java Virtual Machine (“JVM”) on which one or more instances of Hazelcast software are in operation.
 
 Hazelcast's *streaming engine* focuses on data transformation while it does all the heavy
 lifting of getting the data flowing and computation running across a cluster of members.
@@ -145,5 +143,3 @@ unified across different sources of the data. See the xref:pipelines:sources-sin
 for more information about the unified connector API and the supported sources and sinks.
 
 
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