Top 10 reasons to choose Flexible Server for Azure Database for PostgreSQL | Citus Con 2022



Top 10 reasons to choose Flexible Server for Azure Database for PostgreSQL | Citus Con 2022

Top 10 reasons to choose Flexible Server for Azure Database for PostgreSQL | Citus Con 2022

Video of talk by Sunil Agarwal at Citus Con: An Event for Postgres. Abstract: The newly GA’d Azure Database for PostgreSQL managed service is called “Flexible Server” but what does that mean? What is the new “Flexible Server” option for Postgres and why should you care? In this talk from the one of the Azure Database for PostgreSQL product experts at Microsoft, you’ll walk through a high-level overview of the architecture and the 10 reasons to choose Flexible Server for Postgres on Azure.

What are the 10 reasons to consider Flexible Server? This talk covers Flexible Server’s relationship with Linux, lower latency, performance, zone resilient HA, custom maintenance window, lower cost, on-demand stop/start, built-in connection pooling, richer control of server configuration and telemetry. Spoiler alert: Flexible Server shows very comparable performance for PostgreSQL workloads migrated from on-premises/VMs, while also taking the operational complexity out of your equation by running on a managed service.

Sunil Agarwal has 30+ years of industry experience in databases. Today, Sunil leads the product team for the Azure Database for PostgreSQL managed service. Previously, Sunil worked as developer/lead building relational database engine technology, as a tool designer/lead building backup/restore tools, as an application developer/manager enabling B2B commerce and e-learning.

► Video bookmarks:
⏩ 00:00 Introduction
⏩ 00:56 1: Linux VM
⏩ 01:32 2: Premium managed storage
⏩ 02:28 3: Zone redundant backup storage
⏩ 05:50 4: High Availability
⏩ 06:57 5: Performance
⏩ 12:00 6: Smart defaults
⏩ 15:26 7: Planned maintenance control
⏩ 17:00 8: More server parameter control
⏩ 19:10 9: Built-in PgBouncer
⏩ 21:33 10: Cost Optimization
⏩ 23:58 Recap

⏩ 21:33 10: Cost Optimization

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