Android × Caching
Android Caching
We track 30 Android Caching case studies from 21 engineering teams. AWS, Slack and Swiggy write about it most. Many posts also cover Networking and Performance Profiling. The posts run from 2013 to 2026. The newest is from March 2026.
Android Caching articles 1–30 of 30
How to Make Your Mobile App Faster
Essam Fahmy from Deloitte reveals why 70% of users abandon slow apps—and shares the exact techniques that cut load times by up to 70%. If your mobile team treats performance as an afterthought, this breakdown w...
Pareto Principle in Action: Boosting Performance with Smart Caching
CRED Engineering faced a nightmare: caching every query combination would require 45,768+ TB of storage. Here's how they got it down to 135 MB.
Media on Swiggy's Mobile Apps
Swiggy's mobile apps serve millions of users across wildly different devices and network conditions. How do you deliver high-quality images and videos without killing performance or burning through bandwidth co...
Inside Slack: Overcoming Challenges to Craft a Seamless Mobile App
Slack's mobile team faces a unique challenge: users expect desktop-level performance while bouncing between subway tunnels and spotty cellular networks.
Improving Video Cache Hits on Swiggy Apps
Swiggy was bleeding money on video bandwidth costs. The culprit? Videos being requested at 270px, 272px, 275px... you get the idea.
Building an Open Source Carefree Android Disk Cache
Instagram's disk cache was causing more crashes than any other component in their Android app. The culprit? A well-intentioned open source library that made error handling a developer nightmare.
Handling Multiple Caches in App
Swiggy's mobile team faced a common problem: juggling disk caches, LRU caches, and databases without creating a maintenance nightmare. Here's their elegant solution.
How to Stop Worrying About Image Freshness and Reduce the Image Network Traffic
Delivery Hero was burning through 9TB of image data daily. Their apps were sluggish, their network costs were astronomical, and users were waiting too long for images to load.
How Optimizing Memory Management with LMDB Boosted Performance on Our API Service
Pinterest's API team just freed up 4.5GB of memory per host with a clever database swap. The result? Fewer servers, happier users, and a masterclass in optimization.
How Removing Caching Improved Mobile Performance by 25%
Klarna's team removed their caching layer and saw a 25% performance boost. Wait, what?
Faster media delivery to optimize app performance
LazyPay was serving unoptimized images directly from S3, killing app performance and burning bandwidth. Their migration to Cloudinary cut image sizes by 70%.
How We Applied Client-Side Caching
DoorDash makes millions of ML predictions per second, but their Redis-based feature store was becoming a massive cost and scalability bottleneck. Could client-side caching be the answer?
Implementing caching for pipeline resolvers in AWS AppSync GraphQL APIs
Eric Robertson from AWS AppSync reveals how pipeline resolver caching slashed database requests by 99% for some customers. If your GraphQL API is hitting backend services too hard, this changes everything.
CDN Caching Improvements for Better App Performance
AWS Amplify just shipped CDN caching improvements that delivered a 98% reduction in response times for static assets. Cookie handling was the culprit.
Data Storage Best Practices with Jetpack
Florina Muntenescu and Rohit Sathyanarayana from Google reveal why SharedPreferences has been secretly blocking your UI thread and causing ANRs. Their solution? Jetpack DataStore, a complete reimagining of Andr...
Clean Android WebView Caching
Microsoft Teams Android engineers cut WebView initialization time by 70% using a clever caching technique. Here's how they avoided memory leaks while sharing WebViews across activities.
Making Slack Faster By Being Lazy: Part 2
Slack's desktop client was grinding to a halt as teams scaled. The culprit? An over-reliance on browser LocalStorage that seemed smart at first.
Making Slack Faster By Being Lazy
Slack cut load times by 65% for large teams by doing less work, not more. Their secret? Strategic laziness.
How Apollo Android Client Cache Works at Vrbo
Vrbo eliminated loading screens in their Android app entirely. Here's how they used Apollo GraphQL's normalized cache to make navigation feel instant.
Improving GraphQL API performance and consistency with AWS AppSync Caching and DynamoDB Transactions support
AWS just shipped two features that solve opposite problems: making GraphQL APIs blazing fast and keeping DynamoDB writes bulletproof. Here's how they change the game for mobile backends.
Hate to Wait: How Skyscanner Used Module Caching to Cut App Build Speed in Half
Skyscanner's iOS developers were waiting hours for builds to complete. Their CI/CD team cut that time in half with a clever caching strategy.
Consistent Caching Mechanism in Titus Gateway
Netflix's Titus container platform hit a wall: their singleton leader couldn't handle the API query load. Here's how they scaled horizontally without breaking consistency guarantees.
Improving Performance with Background Data Prefetching
Instagram serves 800 million monthly users, 80% outside the US. How do you make the app feel instant for everyone, regardless of network quality?
Efficient and healthy background data prefetching at Instagram
Instagram's background prefetching could easily drain batteries and waste data. Here's how they built a system that's both fast and responsible.
Messaging Sync: Scaling Mobile Messaging at Airbnb
Zhiyao Wang and the Airbnb team tackled a massive problem: their mobile inbox was loading like a 2001 webmail client. With 100k+ messages per hour, every tap meant a network request, killing UX on slow connecti...
Android Schemas for Mobile Development
Dan Lew from Atlassian reveals how Trello Android went from dropping the entire database on every schema change to implementing proper upgrades. The reason? They were secretly building offline mode.
The LinkedIn Android Data Pipeline
LinkedIn rebuilt their Android data pipeline from scratch for their flagship app. The result? A system that handles everything from feed updates to messaging while keeping data consistent across screens.
Solving the Problem of One Billion Computations
Skyscanner needed to store 1.6 billion weights to rank hotel prices. Their in-memory approach couldn't scale, so they turned to AWS.
Building Carousel Part II: Speeding Up the Data Model
Dropbox engineers faced a brutal reality: reading 5,000 photos from SQLite took a full second on a Nexus 5. For users with 100,000+ photos, the standard approach would be unusable.
Introducing the Dropbox Sync API for Mobile Developers
Brian Smith from Dropbox introduced an API in 2013 that promised to make cloud sync feel like working with local files. Developers loved it, but there's a twist.