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Inject live architecture visualization,

Get lower dev complexity

By the creators of Koin, the leading Kotlin integration framework.

Easily understand your application architecture behavior in production to efficiently identify and resolve issues, reduce complexity, and increase 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


Kotlin MultiPlatform: Advanced Application Services

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

Koin Enterprise Support

  • Long Term Support for Koin 3.X versions
  • Dedicated communication channel for troubleshooting
  • Access to tailor-made Workshops about Koin

Use cases

Deep understanding of your architecture and related performances

Deep understanding of your architecture and related performances

Inspect your sessions to solve issues and better understand performances losses. Architecture bottlenecks, slow components, and App scalabiity challenges can be easily understood, tracked and solved.

And without instrumenting your code yourself, it is already pre-instrumented with Koin

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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