Update docs to use "project" instead of "cluster" or "node" where reasonable

Author: JoshMock

docs/guide/configuration.asciidoc

@@ -13,38 +13,38 @@ The options in this section will only be necessary when connecting to Elasticsea
 [discrete]
 ==== Verifying certificates
 
-The typical route to verify a cluster certificate is via a "CA bundle" which can be specified via the `ca_certs` parameter. If no options are given and the https://github.com/certifi/python-certifi[certifi package] is installed then certifi's CA bundle is used by default.
+The typical route to verify a certificate is via a "CA bundle" which can be specified via the `ca_certs` parameter. If no options are given and the https://github.com/certifi/python-certifi[certifi package] is installed then certifi's CA bundle is used by default.
 
 If you have your own CA bundle to use you can configure via the `ca_certs` parameter:
 
 [source,python]
 ------------------------------------
 es = Elasticsearch(
-    cloud_id='deployment-name:ABCD...',
+    cloud_id='project-name:ABCD...',
     ca_certs="/path/to/certs.pem"
 )
 ------------------------------------
 
 If using a generated certificate or certificate with a known fingerprint you can use the `ssl_assert_fingerprint` to specify the fingerprint which tries to match the server's leaf certificate during the TLS handshake. If there is any matching certificate the connection is verified, otherwise a `TlsError` is raised.
 
-In Python 3.9 and earlier only the leaf certificate will be verified but in Python 3.10+ private APIs are used to verify any certificate in the certificate chain. This helps when using certificates that are generated on a multi-node cluster.
+In Python 3.9 and earlier only the leaf certificate will be verified but in Python 3.10+ private APIs are used to verify any certificate in the certificate chain.
 
 [source,python]
 ------------------------------------
 es = Elasticsearch(
-    cloud_id='deployment-name:ABCD...',
+    cloud_id='project-name:ABCD...',
     ssl_assert_fingerprint=(
         "315f5bdb76d078c43b8ac0064e4a0164612b1fce77c869345bfc94c75894edd3"
     )
 )
 ------------------------------------
 
-To disable certificate verification use the `verify_certs=False` parameter. This option should be avoided in production, instead use the other options to verify the clusters' certificate.
+To disable certificate verification use the `verify_certs=False` parameter. This option should be avoided in production, instead use the other options to verify the certificate.
 
 [source,python]
 ------------------------------------
 es = Elasticsearch(
-    cloud_id='deployment-name:ABCD...',
+    cloud_id='project-name:ABCD...',
     verify_certs=False
 )
 ------------------------------------
@@ -117,7 +117,7 @@ es = Elasticsearch(
 [[timeouts]]
 === Request timeouts
 
-Requests can be configured to timeout if taking too long to be serviced. The `request_timeout` parameter can be passed via the client constructor or the client `.options()` method. When the request times out the node will raise a `ConnectionTimeout` exception which can trigger retries.
+Requests can be configured to timeout if taking too long to be serviced. The `request_timeout` parameter can be passed via the client constructor or the client `.options()` method. When the request times out the project will raise a `ConnectionTimeout` exception which can trigger retries.
 
 Setting `request_timeout` to `None` will disable timeouts.
 
@@ -305,7 +305,7 @@ es = Elasticsearch(
 [discrete]
 ==== HTTP connections
 
-The client maintains a pool of HTTP connections to the Elasticsearch Serverless instance to allow for concurrent requests. This value is configurable via the `connections` parameter:
+The client maintains a pool of HTTP connections to the Elasticsearch Serverless project to allow for concurrent requests. This value is configurable via the `connections` parameter:
 
 [source,python]
 ------------------------------------

docs/guide/connecting.asciidoc

@@ -11,7 +11,7 @@ https://www.elastic.co/guide/en/cloud/current/ec-getting-started.html[Elastic Cl
 is the easiest way to get started with {es}. When connecting to Elastic Cloud 
 with the Python {es} client you should always use the `cloud_id` 
 parameter to connect. You can find this value within the "Manage Deployment" 
-page after you've created a cluster (look in the top-left if you're in Kibana).
+page after you've created a project (look in the top-left if you're in Kibana).
 
 We recommend using a Cloud ID whenever possible because your client will be 
 automatically configured for optimal use with Elastic Cloud including HTTPS and 
@@ -22,9 +22,9 @@ HTTP compression.
 from elasticsearch_serverless import Elasticsearch
 
 # Found in the 'Manage Deployment' page
-CLOUD_ID = "deployment-name:dXMtZWFzdDQuZ2Nw..."
+CLOUD_ID = "project-name:dXMtZWFzdDQuZ2Nw..."
 
-# Create the client instance
+# Create the client project
 client = Elasticsearch(
     cloud_id=CLOUD_ID,
     api_key=("api-key-id", "api-key-secret")
@@ -72,7 +72,7 @@ from elasticsearch_serverless import Elasticsearch
 
 # Client initialization
 client = Elasticsearch(
-    cloud_id="deployment-name:ABCD...",
+    cloud_id="project-name:ABCD...",
     api_key=...
 )
 
@@ -92,7 +92,7 @@ from elasticsearch_serverless import Elasticsearch
 
 # Client initialization
 client = Elasticsearch(
-    cloud_id="deployment-name:ABCD...",
+    cloud_id="project-name:ABCD...",
     api_key=...
 )
 
@@ -113,7 +113,7 @@ from elasticsearch_serverless import Elasticsearch
 
 # Client initialization
 client = Elasticsearch(
-    cloud_id="deployment-name:ABCD...",
+    cloud_id="project-name:ABCD...",
     api_key=...
 )
 

docs/guide/examples.asciidoc

@@ -22,7 +22,7 @@ To index a document, you need to specify three pieces of information: `index`,
 ----------------------------
 from datetime import datetime
 from elasticsearch_serverless import Elasticsearch
-es = Elasticsearch(cloud_id='deployment-name:ABCD...')
+es = Elasticsearch(cloud_id='project-name:ABCD...')
 
 doc = {
     'author': 'author_name',
@@ -86,7 +86,7 @@ To update a document, you need to specify three pieces of information: `index`,
 from datetime import datetime
 from elasticsearch_serverless import Elasticsearch
 
-client = Elasticsearch(cloud_id='deployment-name:ABCD...')
+client = Elasticsearch(cloud_id='project-name:ABCD...')
 
 doc = {
     'author': 'author_name',

docs/guide/getting-started.asciidoc

@@ -35,13 +35,13 @@ endpoint.
 from elasticsearch_serverless import Elasticsearch
 
 client = Elasticsearch(
-    cloud_id="deployment-name:ABCD...",  # Cloud ID provided by Elastic
+    cloud_id="project-name:ABCD...",  # Cloud ID provided by Elastic
     api_key=('api-key-id', 'api-key-secret'),  # API key ID and secret
 )
 ----
 
 Your Elasticsearch endpoint can be found on the **My deployment** page of your 
-deployment:
+project:
 
 image::images/es-endpoint.jpg[alt="Finding Elasticsearch endpoint",align="center"]
 

docs/guide/overview.asciidoc

@@ -46,13 +46,9 @@ The client's features include:
 
 * Translating basic Python data types to and from JSON
 
-* Configurable automatic discovery of cluster nodes
-
 * Persistent connections
 
-* Load balancing (with pluggable selection strategy) across all available nodes
-
-* Node timeouts on transient errors
+* Timeouts on transient errors
 
 * Thread safety
 

docs/guide/release-notes.asciidoc

@@ -1,6 +1,6 @@
 [[release-notes]]
 == Release notes
 
-=== 0.1.0+20231031
+=== 0.1.0.20231031
 
 Initial release