Decompose Notion PostgreSQL seller messaging after #149#173
Decompose Notion PostgreSQL seller messaging after #149#173brianamarie wants to merge 3 commits into
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Add conversation starters and public resources to products/postgresql/ messaging.md; keep extension and advisory Support scope in product pillar bullets. Align pgvectorscale advisory wording in future-readiness-ai and document engine-specific expert-coverage routing in products/ and offerings/ README files. Co-authored-by: Cursor <cursoragent@cursor.com>
New File Governance CheckNo added markdown files detected. Doc Coverage CheckNo new markdown docs detected. Duplicate Detector
No significant overlap detected. Manual waiver commands (maintainers)
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Messaging Smart Suggestions
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| Percona enables AI, vector search, and hybrid data workloads through open, secure, and portable database architectures. Customers can modernize existing systems for emerging workloads without replatforming or lock-in. | ||
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| - **AI-ready databases:** Percona packages [pgvector](https://www.percona.com/blog/pgvector-the-critical-postgresql-component-for-your-enterprise-ai-strategy/) for PostgreSQL alongside other tested distribution components ([third-party components](https://docs.percona.com/postgresql/18/third-party.html)). Extensions such as pgvectorscale ship only where documented for a release ([release notes](https://docs.percona.com/postgresql/latest/release-notes/release-notes.html)), which ties AI workload planning to the builds organizations install. Expert Support and consulting cover PostgreSQL and pgvector performance and operations; embedding model selection and LLM application design remain with development teams. | ||
| - **AI-ready databases:** Percona packages [pgvector](https://www.percona.com/blog/pgvector-the-critical-postgresql-component-for-your-enterprise-ai-strategy/) for PostgreSQL alongside other tested distribution components ([third-party components](https://docs.percona.com/postgresql/18/third-party.html)). Percona Expert Support includes advisory guidance for pgvector production tuning. Percona focuses on PostgreSQL performance, scalability, and security for vector workloads, not embedding-model or LLM application design. pgvectorscale is available through advisory Support tiers and is not packaged in Percona Distribution for PostgreSQL. |
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Having read this I think these days it's good to say that real experts will support you, not only AI agents :)
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Messaging Impact Check
postgres-cost-claim (WARN)PostgreSQL cost/TCO claims usually impact shared value proof messaging. Required review files:
Suggested additional scan:
licensing-or-open-source-claims (WARN)License and open source positioning changes are cross-cutting. Required review files:
Suggested additional scan:
offering-name-or-tier-change (WARN)Offering naming updates should stay aligned across offering pages. Required review files:
Suggested additional scan:
product-messaging-module-touch (WARN)Product messaging modules often need checks against company framing and shared pillars or offerings. Required review files:
Suggested additional scan:
Manual waiver commands (maintainers):
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| - Logical replication for migration and scale-out: Percona Distribution for PostgreSQL on PostgreSQL 18 supports parallel logical replication for faster initial data synchronization during replica build and major-version migration, reducing cutover risk and replication catch-up time. | ||
| - Built-in replication lag monitoring: PostgreSQL provides native, accurate replication lag tracking through `pg_stat_wal_receiver` and WAL LSN comparison, without requiring external heartbeat tooling. PMM surfaces this data via the `pg_custom_stat_wal_receiver_lag_bytes` metric (sourced from `postgres_exporter`). Teams migrating from MySQL (where external tools like pt-heartbeat are common for lag measurement) gain this capability out of the box with PostgreSQL. | ||
| - Horizontal scale and legacy tooling: Expert Support and consulting cover Citus sharding coordinated with Patroni HA on customer deployments where Citus runs alongside the distribution stack (Citus is not packaged in the standard distribution build; see [third-party components](https://docs.percona.com/postgresql/18/third-party.html)). Advisory Expert Support is also available for estates that still run barman or repmgr alongside PostgreSQL where migration to pgBackRest and Patroni is phased. | ||
| - Horizontal scale and legacy tooling: Expert Support and consulting cover Citus sharding and timescale time-series workloads on customer-managed PostgreSQL coordinated with Patroni HA where those extensions run alongside the distribution stack (neither Citus nor timescale is packaged in the standard distribution build; see [third-party components](https://docs.percona.com/postgresql/18/third-party.html)). Advisory Expert Support is also available for estates that still run barman or repmgr alongside PostgreSQL where migration to pgBackRest and Patroni is phased. |
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@andrey-glazkov, could you please review these details on our support offerings? I don't want to overclaim.
Summary
This PR picks up the Notion PostgreSQL seller work after #149 merged. It adds field-facing conversation starters and public resources to the PostgreSQL product page, and folds extension Support scope into the existing pillar bullets instead of creating a separate inventory.
What changed
products/postgresql/messaging.mduse-cases-value-pillars/future-readiness-ai.mdproducts/README.mdandofferings/README.mdproducts/{engine}/, not in cross-engine offering filesContext
#149 handled May 2026 product facts. This PR adds the seller decomposition from Notion batch-31 that did not land in closed #145: starters, resources, and extension/advisory scope in the right modules.
We intentionally did not add a PostgreSQL extension table to
expert-support.md. Offering files stay cross-engine; PostgreSQL-specific scope lives on the product page.Out of scope
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