Posts tagged with #architecture

#system-design#architecture

System Boundaries Become Visible Only When Crossed Incorrectly

Every system operates on assumptions. Some are explicit—enforced by types, schemas, and validation. But the dangerous ones are implicit: "events are ordered," "usernames are lowercase," "this array is sorted." These invisible boundaries work perfectly until someone crosses them. Then a service that ran flawlessly for months suddenly explodes on "valid" data. The bug isn't in your logic—it's in the gap between what your system claims to accept and what it actually handles. Good architecture closes this gap by making boundaries impossible to cross incorrectly, not just expensive to cross incorrectly.
#architecture#monolith#rails#refactoring#software-design

From Monolith to Modulith: A Pragmatic Guide to Deconstruction

Everyone wants to break the monolith, but jumping straight to microservices is a fast track to a distributed mess. The Modulith is a more pragmatic step: a single application with strong, enforced internal boundaries. This post explores how to use tools like Packwerk in Rails to achieve modularity without the operational overhead of a distributed system.
#patterns#distributed-systems#rails#reliability#architecture

The Outbox Pattern: Reliable Event Publishing Without Distributed Transactions

How do you guarantee that an event is sent if, and only if, a database transaction succeeds? The dual-write problem plagues distributed systems, leading to inconsistency and bugs. This post dives deep into the Outbox Pattern, a simple yet powerful solution in Rails to ensure atomic, at-least-once delivery for your critical events.
#redis#caching#performance#architecture#rails

How I Reduced API Latency by 50% Using Strategic Redis Architecture

Peak traffic was crushing our API—P95 latency at 450ms, dashboards taking 5 seconds to load, and users complaining of “slow mornings.” By introducing a Redis caching layer designed around real access patterns, not just generic key-value storage, we cut P95 latency in half, reduced DB CPU load from 85% to 45%, and eliminated the majority of timeouts. This is the story of how intentional caching turned a struggling system into one that scaled gracefully.
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