A challenge with index tuning is that simply creating an index does not guarantee the PostgreSQL planner will use it. As a result, tuning often turns into guesswork. This process quickly becomes painful, especially when dealing with a large number of queries, where managing and validating indexes at scale turns into a complex and time-consuming problem.
Join us on 22 April 2026 at 3 PM for our session on “Automating PostgreSQL Index Tuning Using AI”. Warda Bibi, PostgreSQL Consultant at Stormatics, will walk through a structured approach to identifying and automating index recommendations using real workload data.
The session will demonstrate how AI can systematically explore and evaluate indexing strategies, replacing guesswork with a repeatable, production-safe process.
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→ Why slow PostgreSQL queries are often an indexing problem, and why finding the right indexes manually is painful
→ Identifying slow queries from real workload data
→ Simulating indexes safely without touching production
→ Automating index discovery with a search algorithm
→ Where AI fits in and when it adds value
→ Live end-to-end demo
→ A clear understanding of how automated index tuning works under the hood
→ A working open source tool you can run against your own database today
Warda is a PostgreSQL Consultant who helps organizations build, optimize, and scale their database systems efficiently. With expertise in PostgreSQL internals, she works closely with engineering teams to design high-performance architectures that meet both technical and business needs. At Stormatics, she delivers specialized PostgreSQL services, from query tuning to scalability solutions, helping clients achieve reliability and peak performance. Her hands-on approach stems from experience solving real-world database challenges in demanding production environments.
An active part of the PostgreSQL community, Warda shares her knowledge through technical guides and articles. She collaborates in patch reviews, hacking workshops, and community-driven initiatives, driven by a passion for making PostgreSQL more powerful and accessible for all users.