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Ahmed RefaatOct 7 · 14 min read

Concurrent Rendering in React 19, Part 1: How React Learned to Pause

Introduction: the search box that froze Concurrent rendering is React's ability to work on an update in the background, pause it when something more important happens, and throw it away if it becomes

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Yashika VijayvargiyaJun 15 · 4 min read

PostgreSQL Concurrent Indexes in Rails: Avoiding Downtime in Production

In this article, we'll explore what concurrent indexes are, why they matter, and how to safely create them in Ruby on Rails. The Problem with Normal Index Creation Suppose we have a large users table

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TuanhdotnetMay 8 · 12 min read

Techniques: How to design versioned commands so retries stay safe under concurrent modification?

Source: Techniques: How to design versioned commands so retries stay safe under concurrent modification? 1. Opening: when retries hurt Start with a familiar failure: you design a retry loop to make an operation resilient. It retries on transie...

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TuanhdotnetMay 4 · 10 min read

Reasons Java services get slower after a few hours: How to find thread pool saturation?

Source: Reasons Java services get slower after a few hours: How to find thread pool saturation? You boot a service at 03:00 and it behaves beautifully: sub-second responses, healthy throughput. By noon, requests start lagging. After an outage ticke...

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Ashish KumarMay 4 · 9 min read

React Concurrent Features: Urgent vs Deferred UI Updates

Before React 18, the render cycle was synchronous and uninterruptible. Once React started reconciling a tree, it ran to completion: even if that took 400ms and the user was typing. Every keystroke tha

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TuanhdotnetMay 2 · 11 min read

Ways to Invalidate Derived Caches Without Creating a Distributed Guessing Game

Source: Ways to Invalidate Derived Caches Without Creating a Distributed Guessing Game You’ve likely seen it: a derived cache (an aggregate, a denormalized view, or a materialized snapshot) starts drifting from its authoritative sources. Teams reac...

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TuanhdotnetApr 24 · 13 min read

Methods to Handle Time Drift Issues in Distributed Systems

Source: Methods to Handle Time Drift Issues in Distributed Systems Many production incidents start with a moment of cognitive dissonance: logs from service A show an event happening "after" an event in service B, but tracing reveals the opposite. D...

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TuanhdotnetApr 21 · 10 min read

Methods to Prevent Duplicate Cron Execution Across Multiple Spring Boot Instances

Source: Methods to Prevent Duplicate Cron Execution Across Multiple Spring Boot Instances Modern cloud deployments scale application pods horizontally. A cron defined with Spring's @Scheduled suddenly runs N times — once per pod — unless you design...

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TuanhdotnetApr 18 · 12 min read

Methods to Handle Zombie Requests After the User Already Closed the Browser

Source: Methods to Handle Zombie Requests After the User Already Closed the Browser 1. An opening scenario (why the problem matters) Browsers close all the time — users switch tabs, hit the X, or their laptop goes to sleep. For many web applic...

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TuanhdotnetApr 16 · 10 min read

Reasons Thread Pool Misconfiguration Creates Fake Throughput in Java Backends

Source: Reasons Thread Pool Misconfiguration Creates Fake Throughput in Java Backends 1. A quiet alarm: why you shouldn't trust requests/sec alone In a production incident I investigated, dashboards showed impressive requests/sec during a sudd...

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Concurrent Rendering in React 19, Part 1: How React Learned to Pause

PostgreSQL Concurrent Indexes in Rails: Avoiding Downtime in Production

Techniques: How to design versioned commands so retries stay safe under concurrent modification?

Reasons Java services get slower after a few hours: How to find thread pool saturation?

React Concurrent Features: Urgent vs Deferred UI Updates

Ways to Invalidate Derived Caches Without Creating a Distributed Guessing Game

Methods to Handle Time Drift Issues in Distributed Systems

Methods to Prevent Duplicate Cron Execution Across Multiple Spring Boot Instances

Methods to Handle Zombie Requests After the User Already Closed the Browser

Reasons Thread Pool Misconfiguration Creates Fake Throughput in Java Backends