Database Scaling Strategies for Growing Startups

From single instance to distributed systems: a practical guide to scaling PostgreSQL as your user base grows from hundreds to millions.

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Abhishek Sharma
· Feb 28, 2024 ·
12 min read
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The Scaling Journey

Most startups begin with a single PostgreSQL instance. This works great until it doesn't. Knowing when and how to scale is crucial.

Read Replicas

The first step is usually adding read replicas. Route all read queries to replicas and writes to the primary.

Partitioning

Table partitioning can dramatically improve query performance on large tables by limiting the data scanned.

CREATE TABLE events (
    id BIGSERIAL,
    created_at TIMESTAMPTZ NOT NULL
) PARTITION BY RANGE (created_at);

Connection Pooling with PgBouncer

PostgreSQL has a limited connection capacity. PgBouncer multiplexes application connections to reduce overhead.

When to Consider Sharding

Sharding should be a last resort. The operational complexity is significant. Consider it only when read replicas and partitioning are insufficient.

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Abhishek Sharma

Senior Backend Developer specializing in scalable systems, distributed architecture, and high-performance APIs. Writing about the craft of building software that lasts.

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