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Cut Kotlin App Maintenance Time with Our Application Architecture Expertise

By the creators of the popular open-source DI framework KOIN

Easily understand your application architecture behavior in production to efficiently identify and resolve crashes, complexity and performance.

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They already monitor and optimize their developments with Cloud-Inject:

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cloud-inject features

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App Vitals


  • User base details
  • Crash Reporting
  • Issues ranking by impact
New features in 2024:
  • Application Not responding (ANRs)
  • Issues trends
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Performance & Benchmark


  • Android Activity/Fragment
  • Koin-related performance (start-up time, architecture efficiency)
  • Code Tracing
  • Session Replay
New features in 2024:
  • 3rd party library (retrofit…)
  • SDK used by 3rd party monitoring
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Architecture Overview


  • Timeline - Koin Live “Organic” View (Modules, Instances, Scopes…)
  • Issues Detection: Structure Complexity & Bottlenecks
  • Component Reusability Insights

Services

Kotlin MultiPlatform: Advanced Application Services

Cloud-Inject is compatible with Kotlin Multiplatform

  • Koin Integration in KMP Support
  • Customised Dependency Injection Workshops
  • Mastery of Compose Multiplatform with Koin
  • Seamless Migration to Koin

What is Cloud-Inject?

Pinpoint and Address Architecture Bottlenecks in your App

Pinpoint and Address Architecture Bottlenecks in your App

Visualize your App's architecture with Koin's timeline feature, understanding the flow of modules, instances, and scopes to enhance the overall architecture. Identify complex code structures and performance bottlenecks, enabling you to refactor and optimize for improved maintainability and performance. Gain insights into codebase reusability and identify trends for building modular and scalable applications.

We collaborate with our partners to develop the appropriate architecture technologies to help you design scalable applications with ease.

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Take charge of your Koin-based architecture

Gain insights to anticipate and resolve architecture complexities, structural flaws, and performance issues.

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