further debranding

Author: wjohnsto

docs/create/aws/analytics-using-aws/index-analytics-using-aws.mdx

@@ -436,5 +436,5 @@ to
 
 - [Project Source Code](https://github.com/redis-developer/basic-analytics-dashboard-redis-bitmaps-nodejs)
 - [Use cases of Bitmaps](https://redis.io/topics/data-types-intro)
-- [How to Build a Slack Bot to Retrieve Lost Files Using AWS S3 and RediSearch](/create/aws/slackbot)
+- [How to Build a Slack Bot to Retrieve Lost Files Using AWS S3 and Search](/create/aws/slackbot)
 - [How to Deploy and Manage Redis Database on AWS Using Terraform](/create/aws/terraform)

docs/create/aws/index-aws.mdx

@@ -19,8 +19,8 @@ The following links provide you with the available options to run apps on AWS us
   </div>
   <div class="col">
     <RedisCard
-      title="How to Build a Slack Bot to Retrieve Lost Files Using AWS S3 and RediSearch"
-      description="Building a Slack Bot to Retrieve Lost Files Using AWS S3 and RediSearch"
+      title="How to Build a Slack Bot to Retrieve Lost Files Using AWS S3 and Search"
+      description="Building a Slack Bot to Retrieve Lost Files Using AWS S3 and Search"
       page="/create/aws/slackbot"
     />
   </div>

docs/create/aws/slackbot/index-slackbot.mdx

@@ -351,7 +351,7 @@ JSON.GET amazonshareholderletterpdf
 
 This command involves deleting files from the S3 bucket. To achieve this you simply need to type in the file name in the search bar and Reeko will pull up the file as demonstrated below.
 
-You’ll have the option to permanently delete the file from the S3 bucket. The file data is deleted from Redis using the JSON.DEL command and is removed from RediSearch's suggestions using the `FT.SUGDEL` command. You’ll be informed when the file is deleted.
+You’ll have the option to permanently delete the file from the S3 bucket. The file data is deleted from Redis using the JSON.DEL command and is removed from Search suggestions using the `FT.SUGDEL` command. You’ll be informed when the file is deleted.
 
 ```
 FT.SUGDEL file-index "amazon-shareholder-letter.pdf"
@@ -361,7 +361,7 @@ JSON.DEL amazonshareholderletterpdf
 
 #### Step 8: File searching
 
-Have you ever searched for a file without being entirely sure what it is you’re looking for? You may remember snippets of the content but not enough to manually track down its location. Well due to RediSearch’s autocomplete functionality this will no longer be a problem.
+Have you ever searched for a file without being entirely sure what it is you’re looking for? You may remember snippets of the content but not enough to manually track down its location. Well due to Search’s autocomplete functionality this will no longer be a problem.
 
 #### /s3-search
 
@@ -428,7 +428,7 @@ class RedisSearchConnector():
         self.ac = AutoCompleter(self.index_name)
 ```
 
-Use the following code to initialise RedisJSON in redisjson_connector.py.
+Use the following code to initialise Redis JSON in redisjson_connector.py.
 
 ```
 from rejson import Client, Path

docs/create/aws/terraform/index-terraform.mdx

@@ -396,7 +396,7 @@ Apply complete! Resources: 3 added, 0 changed, 0 destroyed.
 
 You can now verify the new database created under Subscription named “db-json.”
 
-Deploy a Redis Database with RedisJSON modules on AWS using Terraform:
+Deploy a Redis Database with Redis JSON modules on AWS using Terraform:
 
 ```
 terraform {

docs/create/azure/terraform-simple/index-azure-terraform-simple.mdx

@@ -12,10 +12,10 @@ The Enterprise Tiers of Azure Cache for Redis is generally available as a native
 - [Active geo-replication, with up to 99.999% availability](https://redis.com/redis-enterprise/technology/active-active-geo-distribution/) - Preview
 - [Redis on Flash (RoF)](https://redis.com/redis-enterprise/technology/redis-on-flash/)
 - [Disk persistence with recovery](https://redis.com/redis-enterprise/technology/durable-redis/) - Preview
-- Redis Enterprise modules:
-  - [RediSearch 2.0](https://redis.com/blog/redisearch-2-build-modern-applications-interactive-search/)
-  - [RedisTimeSeries](https://redis.com/modules/redis-timeseries/)
-  - [RedisBloom](https://redis.com/modules/redis-bloom/)
+- Redis Enterprise features:
+  - [Search](https://redis.com/blog/redisearch-2-build-modern-applications-interactive-search/)
+  - [Time Series](https://redis.com/modules/redis-timeseries/)
+  - [Probabilistic data structures](https://redis.com/modules/redis-bloom/)
 - Scaling
   - Datasets up to 13TB
   - Up to 2M concurrent client connections

docs/create/docker/redis-on-docker/index-redis-on-docker.mdx

@@ -145,11 +145,11 @@ By default, the Redis Stack Docker containers use internal configuration files f
 To pass in arbitrary configuration changes, you can set any of these environment variables:
 
 - `REDIS_ARGS`: extra arguments for Redis
-- `REDISEARCH_ARGS`: arguments for RediSearch
-- `REDISJSON_ARGS`: arguments for RedisJSON
-- `REDISGRAPH_ARGS`: arguments for RedisGraph
-- `REDISTIMESERIES_ARGS`: arguments for RedisTimeSeries
-- `REDISBLOOM_ARGS`: arguments for RedisBloom
+- `REDISEARCH_ARGS`: arguments for Redis Search
+- `REDISJSON_ARGS`: arguments for Redis JSON
+- `REDISGRAPH_ARGS`: arguments for Redis Graph
+- `REDISTIMESERIES_ARGS`: arguments for Redis Time Series
+- `REDISBLOOM_ARGS`: arguments for Redis Probabilistic Data Structures
 
 For example, here’s how to use the `REDIS_ARGS` environment variable to pass the `requirepass` directive to Redis:
 

docs/create/homebrew/index-homebrew.mdx

@@ -123,7 +123,7 @@ Since the metrics are collected with a millisecond timestamp, we can compact our
 
 ### Step 8. Time series compaction
 
-RedisTimeSeries supports downsampling with the following aggregations: avg, sum, min, max, range, count, first and last. If you want to keep all of your raw data points indefinitely, your data set grows linearly over time. However, if your use case allows you to have less fine-grained data further back in time, downsampling can be applied. This allows you to keep fewer historical data points by aggregating raw data for a given time window using a given aggregation function.
+Redis Time Series supports downsampling with the following aggregations: avg, sum, min, max, range, count, first and last. If you want to keep all of your raw data points indefinitely, your data set grows linearly over time. However, if your use case allows you to have less fine-grained data further back in time, downsampling can be applied. This allows you to keep fewer historical data points by aggregating raw data for a given time window using a given aggregation function.
 
 #### Example:
 

docs/create/netlify/getting-started-with-netlify/index-getting-started-with-netlify.mdx

@@ -52,7 +52,7 @@ In this tutorial, you will see how to deploy a simple Redis caching app built wi
 
 ### Step 1. Setup a free Redis Enterprise Cloud account
 
-Visit [https://developer.redis.com/create/rediscloud/](https://developer.redis.com/create/rediscloud/) and create a free Redis Enterprise Cloud account. Enable the “RediSearch” module while you create the Redis Enterprise Cloud database. Once you complete the tutorial, you will be provided with the database Endpoint URL and password. Save it for future reference.
+Visit [https://developer.redis.com/create/rediscloud/](https://developer.redis.com/create/rediscloud/) and create a free Redis Enterprise Cloud account. Select a “Redis Stack" database when you create the Redis Enterprise Cloud database. Once you complete the tutorial, you will be provided with the database Endpoint URL and password. Save it for future reference.
 
 :::tip
 For a limited time, use **TIGER200** to get **$200** credits on Redis Enterprise Cloud and try all the advanced capabilities!

docs/create/redis-stack/index-redis-stack.mdx

@@ -30,7 +30,7 @@ In addition to all of the features of OSS Redis, Redis Stack supports:
 
 Redis Stack is made up of several components, licensed as follows:
 
-- Redis Stack Server combines open source Redis with RediSearch, RedisJSON RedisGraph, RedisTimeSeries and RedisBloom is licensed under the [Redis Source Available License](https://github.com/RediSearch/RediSearch/blob/master/LICENSE) (RSAL).
+- Redis Stack Server combines open source Redis with Search, JSON, Time Series and Probabilistic data structures is licensed under the [Redis Source Available License](https://redis.com/legal/licenses/) (RSAL).
 - RedisInsight is licensed under the [Server Side Public License](https://en.wikipedia.org/wiki/Server_Side_Public_License) (SSPL).
 
 ### Which client libraries support Redis Stack?
@@ -253,7 +253,7 @@ Since the metrics are collected with a millisecond timestamp, we can compact our
 
 ### Step 8. Time series Aggregations
 
-RedisTimeSeries supports downsampling with the following aggregations: avg, sum, min, max, range, count, first and last. If you want to keep all of your raw data points indefinitely, your data set grows linearly over time. However, if your use case allows you to have less fine-grained data further back in time, downsampling can be applied. This allows you to keep fewer historical data points by aggregating raw data for a given time window using a given aggregation function.
+Redis Time Series supports downsampling with the following aggregations: avg, sum, min, max, range, count, first and last. If you want to keep all of your raw data points indefinitely, your data set grows linearly over time. However, if your use case allows you to have less fine-grained data further back in time, downsampling can be applied. This allows you to keep fewer historical data points by aggregating raw data for a given time window using a given aggregation function.
 
 #### Example:
 
@@ -313,19 +313,19 @@ By default, the Redis Stack Docker containers use internal configuration files f
 To pass in arbitrary configuration changes, you can set any of these environment variables:
 
 - `REDIS_ARGS`: extra arguments for Redis
-- `REDISEARCH_ARGS`: arguments for RediSearch
-- `REDISJSON_ARGS`: arguments for RedisJSON
-- `REDISGRAPH_ARGS`: arguments for RedisGraph
-- `REDISTIMESERIES_ARGS`: arguments for RedisTimeSeries
-- `REDISBLOOM_ARGS`: arguments for RedisBloom
+- `REDISEARCH_ARGS`: arguments for Search
+- `REDISJSON_ARGS`: arguments for JSON
+- `REDISGRAPH_ARGS`: arguments for Graph
+- `REDISTIMESERIES_ARGS`: arguments for Time Series
+- `REDISBLOOM_ARGS`: arguments for Probabilistic Data Structures
 
 For example, here’s how to use the `REDIS_ARGS` environment variable to pass the `requirepass` directive to Redis:
 
 ```
  docker run -e REDIS_ARGS="--requirepass redis-stack" redis/redis-stack:latest
 ```
 
-Here’s how to set a retention policy for RedisTimeSeries:
+Here’s how to set a retention policy for Redis Time Series:
 
 ```
  docker run -e REDISTIMESERIES_ARGS="RETENTION_POLICY=20" redis/redis-stack:latest

docs/develop/java/getting-started/index.md

@@ -39,7 +39,7 @@ Use these commands to setup a Redis server locally on Mac OS:
 ```
 
 :::info INFO
-Redis Stack unifies and simplifies the developer experience of the leading Redis modules and the capabilities they provide. Redis Stack bundles five Redis modules: RedisJSON, RedisSearch, RedisGraph, RedisTimeSeries, and RedisBloom.
+Redis Stack unifies and simplifies the developer experience of the leading Redis modules and the capabilities they provide. Redis Stack provides the following in addition to Redis Open Source: JSON, Search, Time Series, and Probabilistic data structures.
 [Learn more](/create/redis-stack)
 :::
 
@@ -167,7 +167,7 @@ Check out a few of these apps below, or [click here to access the complete list]
 
 ![launchpad](images/moviedatabasejava.png)
 
-[Movie Database app in Java](http://launchpad.redis.com/?id=project%3Ademo-movie-app-redisearch-java) based on RediSearch capabilities
+[Movie Database app in Java](http://launchpad.redis.com/?id=project%3Ademo-movie-app-redisearch-java) based on Search capabilities
 
 </div>
 </div>
@@ -255,7 +255,7 @@ As developer you can use the Java client library directly in your application, o
 #### Sample Code
 
 **[Brewdis - Product Catalog (Spring)](https://github.com/redis-developer/brewdis)**
-See how to use Redis and Spring to build a product catalog with streams, hashes and RediSearch
+See how to use Redis and Spring to build a product catalog with streams, hashes and Search
 
 **[Redis Stream in Action (Spring)](https://github.com/redis-developer/redis-streams-in-action)**
 See how to use Spring to create multiple producer and consumers with Redis Streams