
Gautam Gopinadhan
Articles by Gautam Gopinadhan (5)

Nobody wants a cache
Every cache on your laptop is invisible: it decides for itself, keeps deciding as the workload moves, and never changes the answer. Database caching is the last place we still do it by hand. Today we're launching the Readyset Platform to close that gap.
Gautam GopinadhanThe Hidden Complexity of Postgres Scaling Architectures
The OpenAI Postgres scaling article has been making the rounds, and for good reason. The piece does two things extremely well. First, it shows just how Postgres can be pushed far beyond what most teams assume is possible. Second, it makes clear that workloads at this scale don’t run on databases alone; they rely on caching, proxies, and careful query traffic management. It’s a rare public look at what it actually takes to run Postgres at serious scale. Why Scaling PostgreSQL at High Traffic
Gautam GopinadhanPredictions About the Effect of AI on Enterprise Software and Infrastructure
We embarked on an exercise to predict how Enterprise infrastructure (including data infrastructure), will change with AI. Along the way, we made several observations about software and processes in general. I'm noting some of these below. Some of these are fresh takes, and we haven't seen them discussed elsewhere, so we would love to hear different perspectives on them. In this article, we refer to both the use of AI to write software, as well as to execute processes and workflows, i.e. Agents.
Gautam GopinadhanReadyset QueryPilot Automates Query Caching for MySQL
QueryPilot is Readyset’s automatic query caching engine for MySQL. It automatically identifies and caches your most expensive queries at the SQL layer, with no code changes or manual tuning. Today, we're announcing the Public Beta of Readyset QueryPilot, a significant step toward making OLTP workloads, especially AI-generated applications, scale seamlessly. Think of this as the “Look Ma, no hands” moment for database performance. You route traffic once, QueryPilot takes the handlebars, caches s
Gautam GopinadhanWhy Query Caching Is the Most Cost-Effective Way To Scale Databases — and Everyone’s Missing It
Scaling databases is no small task, and in the rush to find fast, affordable solutions, teams often overlook a key technique: query caching. By intelligently caching database queries, we’re sidestepping many of the typical challenges and costs that come with sharding, complex materialized views and resource-intensive indexes. Yet, it’s surprising how often query caching is dismissed as a solution. Let’s dive into why it might be the most cost-effective way to achieve the scale you’re after. Ho
Gautam GopinadhanStill scaling the hard way?
Modern applications demand instant performance, even under unpredictable load. Readyset helps you eliminate slow queries, stabilize latency, and scale confidently.
Revolutionize your database performance with Readyset
Serve requests at sub-millisecond latencies with the modern database scaling and query caching system for MySQL and PostgreSQL.
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