Deep dives into PostgreSQL, distributed SQL, database reliability, query performance, replication, cloud infrastructure, and production incident troubleshooting.
Learn how to identify and fix slow database queries using query plans, indexes, and optimization techniques from real production scenarios.
HTAP systems don't fail with a bang; they fail sideways through memory contention and silent performance drift. Learn why mixed workloads are a silent production risk.
How reflexive indexing silently destroys write throughput, memory locality, and system stability in HTAP and distributed SQL databases.
How distributed SQL execution actually works—query planning, data movement, joins, aggregations, and why your queries sometimes explode in cost.
A guided journey through the architecture, performance, and operational reality of HTAP and distributed SQL systems.
Real failure modes, operational mistakes, and hard-learned lessons from running a distributed HTAP system at scale. No marketing, just engineering.
An honest look at how HTAP databases actually work in production—the architecture, trade-offs, and when you shouldn't use them.
A practical decision framework for when distributed SQL is worth the cost—and when Postgres is still the right answer.
Explore the architectural decisions and trade-offs when building real-time analytics systems, from data ingestion to query optimization.