Removed the concept of Dynamic Postgresql (#3500)

* removed the concept of Dynamic Postgresql

---------

Signed-off-by: Iain Cox <iain@timescale.com>
Co-authored-by: Iain Cox <iain@timescale.com>

_partials/_cloud-intro.md

@@ -1,17 +1,31 @@
-Timescale Cloud is a cloud-based PostgreSQL platform for resource-intensive workloads. We help you build faster, 
-scale further, and stay under budget. Timescale Cloud offers the following PostgreSQL optimized database services:
+$CLOUD_LONG is a cloud-based PostgreSQL platform for resource-intensive workloads. We help you build faster, 
+scale further, and stay under budget. A $SERVICE_LONG is a single optimized 100% PostgreSQL database instance that you 
+use as is, or extend with capabilities specific to your business needs. The available capabilities are:
 
-- **[Time-series and Analytics][create-service]**: a Timescale DB instance optimized for your
-  [time-series and analytics][what-is-time-series] workloads. Get automated dynamic data partitioning, hybrid 
-  row-columnar storage, advanced compression techniques, incremental up-to-date materializations, and specialized 
-  analysis functions as well as cloud-only features like transparent tiering and low-cost object storage.
-- **[Dynamic PostgreSQL][create-service]**: for all other workloads. A PostgreSQL instance with a
-  [dynamic compute range][what-is-dynamic-postgres] aligned to your business needs. You select a compute range, only 
-  paying for the base and the amount of extra CPU as you scale.
+- **[Time-series and analytics][create-service]**: PostgreSQL with TimescaleDB. The PostgreSQL you know and love, 
+   supercharged with functionality for storing and querying [time-series data][what-is-time-series] at scale for 
+   analytics and other use cases.
+   Get faster time-based queries with hypertables, continuous aggregates, and columnar storage. Save on storage with 
+   native compression, data retention policies, and bottomless data tiering to Amazon S3. 
+- **[AI and vector][create-service]**: PostgreSQL with vector extensions. Use PostgreSQL as a vector database with 
+   purpose built extensions for building AI applications from start to scale. Get fast and accurate similarity search 
+   with the pgvector and pgvectorscale extensions. Create vector embeddings and perform LLM reasoning on your data with 
+   the pgai extension.
+- **[PostgreSQL][create-service]**: the trusted industry-standard RDBMS. Ideal for applications requiring strong data 
+   consistency, complex relationships, and advanced querying capabilities. Get ACID compliance, extensive SQL support, 
+   JSON handling, and extensibility through custom functions, data types, and extensions.
 
-All databases are extended with lightning fast vector search, and include all the cloud tooling you'd expect for production use,
-with automatic backups, high availability, read replicas, data forking, connection pooling, usage-based storage, and much more.
+All $SERVICE_SHORTs include all the cloud tooling you'd expect for production use: 
+[automatic backups][automatic-backups], [high availability][high-availability], [read replicas][readreplica], 
+[data forking][operations-forking], [connection pooling][connection-pooling], [tiered storage][data-tiering], 
+[usage-based storage][how-plans-work], and much more.
 
 [what-is-time-series]: https://www.timescale.com/blog/what-is-a-time-series-database/#what-is-a-time-series-database
-[what-is-dynamic-postgres]: https://www.timescale.com/dynamic-postgresql
 [create-service]: /getting-started/:currentVersion:/services/
+[automatic-backups]: /use-timescale/:currentVersion:/backup-restore/
+[high-availability]: /use-timescale/:currentVersion:/ha-replicas/high-availability/
+[readreplica]: /use-timescale/:currentVersion:/ha-replicas/read-scaling/
+[operations-forking]: /use-timescale/:currentVersion:/services/service-management/#fork-a-service
+[connection-pooling]: /use-timescale/:currentVersion:/services/connection-pooling
+[data-tiering]: /use-timescale/:currentVersion:/data-tiering/
+[how-plans-work]: /about/:currentVersion:/pricing-and-account-management/#how-plans-work

_partials/_service-overview.md

@@ -1,5 +1,4 @@
-Each Timescale Cloud  service is a single 100% PostgreSQL database with [usage-based storage][how-plans-work]. You
-manage your services and interact with your data in Timescale Console using the following modes:
+You manage your $SERVICE_LONGs and interact with your data in $CONSOLE using the following modes:
 
 <table class="tg"><thead>
   <tr>

getting-started/index.md

@@ -14,8 +14,6 @@ import WhereNext from "versionContent/_partials/_where-to-next.mdx";
 
 <CloudIntro />
 
-Each database instance in Timescale is called a service.
-
 This section shows you how to:
 
 1.  [Create and connect to a Timescale service][services-create]

getting-started/services.md

@@ -10,16 +10,12 @@ import Install from "versionContent/_partials/_cloud-installation.mdx";
 import Connect from "versionContent/_partials/_cloud-connect.mdx";
 import CreateAHypertable from "versionContent/_partials/_create-hypertable.mdx";
 import ServiceOverview from "versionContent/_partials/_service-overview.mdx";
+import CloudIntro from "versionContent/_partials/_cloud-intro.mdx";
 
 # Create your first $SERVICE_LONG
 
-$CLOUD_LONG offers the following PostgreSQL optimized database services:
+<CloudIntro />
 
-- **Time-series and Analytics**: a $TIMESCALE_DB instance optimized for your 
-    [time-series and analytics][what-is-time-series] workloads.
-- **Dynamic PostgreSQL**: for all other workloads. A PostgreSQL instance with a 
-    [dynamic compute range][what-is-dynamic-postgres] aligned to your business needs.
-- **Vector and AI**: for apps that require fast search on vector embeddings and metadata, like semantic search, image search, RAG and Agents. Powered by $COMPANY Vector and available on Time-series and Dynamic PostgreSQL services. 
 
 <ServiceOverview />
 
@@ -82,7 +78,6 @@ And that is it, you are up and running. Enjoy developing with $COMPANY.
 [create-a-hypertable]: /getting-started/:currentVersion:/services/#create-a-hypertable
 [create-service]: https://console.cloud.timescale.com/dashboard/create_services
 [what-is-time-series]: https://www.timescale.com/blog/what-is-a-time-series-database/#what-is-a-time-series-database
-[what-is-dynamic-postgres]: https://www.timescale.com/dynamic-postgresql
 [hypertables]: /use-timescale/:currentVersion:/hypertables/about-hypertables/#hypertable-partitioning
 [timescaledb]: https://docs.timescale.com/#TimescaleDB
 

use-timescale/page-index/page-index.js

@@ -22,11 +22,6 @@ module.exports = [
             href: "service-overview",
             excerpt: "Timescale services overview",
           },
-          {
-            title: "Dynamic PostgreSQL",
-            href: "dynamic-postgresql",
-            excerpt: "Dynamic PostgreSQL overview",
-          },
           {
             title: "Service explorer",
             href: "service-explorer",

use-timescale/services/index.md

@@ -18,7 +18,6 @@ import CloudIntro from "versionContent/_partials/_cloud-intro.mdx";
 
 Read about Timescale features in the documentation:
 
-*   Determine if you want a time-series or [Dynamic PostgreSQL][dynamic-pg] database
 *   Create your first [hypertable][hypertable-info].
 *   Run your first query using [time_bucket()][time-bucket-info].
 *   Trying more advanced time-series functions, starting with
@@ -62,4 +61,3 @@ the supported service configurations and operations, see the
 [time-bucket-info]: /use-timescale/:currentVersion:/query-data/advanced-analytic-queries#time-bucket
 [terraform-provider-docs]: https://registry.terraform.io/providers/timescale/timescale/latest/docs
 [terraform-provider]: https://registry.terraform.io/providers/timescale/timescale/latest/
-[dynamic-pg]: /use-timescale/:currentVersion:/services/dynamic-postgresql/