top of page

Optimizing Network Calls in Kotlin Android Apps using Retrofit

Optimizing Network Calls in Kotlin Android Apps using Retrofit

In today's fast-paced world, mobile app performance is a critical aspect of delivering a seamless user experience. Network calls play a vital role in app functionality, but they can also introduce performance bottlenecks if not implemented efficiently.

In this blog post, we will explore strategies to implement network calls with minimal performance impact in Kotlin-based Android apps. We will cover topics such as choosing the right networking library, optimizing network calls, and implementing caching mechanisms.

1. Choosing the Right Networking Library

Selecting the appropriate networking library can significantly impact the performance of your Android app. Several popular networking libraries are available, such as Retrofit, Volley, and OkHttp. When choosing a library, consider the following factors:

1.1 Efficiency

Look for a library that is designed to handle network operations efficiently. Libraries like Retrofit and OkHttp are known for their performance optimization capabilities.

1.2 Flexibility

Ensure that the library provides flexible options to configure network requests, timeouts, headers, and other parameters.

1.3 Community Support

Check if the library has an active community and regular updates. This ensures that you will receive support and updates for any issues or improvements.

For this blog, we will use Retrofit as our networking library of choice due to its popularity, performance, and ease of use.

2. Optimizing Network Calls

Once you have chosen a networking library, there are several strategies you can employ to optimize network calls in your Android app:

2.1 Use Asynchronous Calls

Perform network operations asynchronously to prevent blocking the main UI thread. Kotlin's coroutines and Retrofit's suspend functions are a powerful combination for writing asynchronous code in a concise and readable manner.

2.2 Implement Connection Pooling

Connection pooling allows reusing established connections for subsequent requests, reducing the overhead of establishing new connections. Retrofit and OkHttp provide connection pooling out-of-the-box, which can significantly improve performance.

2.3 Enable GZIP Compression

GZIP compression reduces the size of the response payload, resulting in faster data transmission. Ensure that your server supports GZIP compression, and enable it in the networking library configuration.

2.4 Implement Pagination

When dealing with large datasets, implement pagination to fetch data in smaller chunks. This approach reduces the overall response time and improves app performance.

3. Implementing Caching Mechanisms

Implementing caching mechanisms can further enhance the performance of network calls by reducing the need for repetitive requests. Retrofit, in combination with OkHttp, offers powerful caching capabilities.

Here's a step-by-step guide to implementing caching:

Step 1: Configure the Cache

Create an instance of the Cache class in your application initialization code, specifying the cache directory and size:

val cacheSize = 10 * 1024 * 1024 // 10 MB
val cacheDirectory = File(context.cacheDir, "http-cache")
val cache = Cache(cacheDirectory, cacheSize)

Step 2: Configure the OkHttpClient

Create an instance of the OkHttpClient class and attach the cache:

val okHttpClient = OkHttpClient.Builder()

Step 3: Configure Retrofit

Use the okHttpClient instance when building the Retrofit object:

val retrofit = Retrofit.Builder()

Step 4: Enable Caching in Retrofit Requests

In your Retrofit service interface, specify the caching behavior for each request using the @Headers annotation:

interface ApiService {
    @Headers("Cache-Control: max-age=86400")
    // Cache response for 24 hours
    suspend fun getData(): Response<DataModel>

By setting the appropriate caching headers, you can control how long responses are cached and under which conditions they are considered stale.


In this blog post, we discussed strategies to implement network calls with minimal performance impact in Kotlin-based Android apps. We explored choosing the right networking library, optimizing network calls, and implementing caching mechanisms. By following these best practices, you can ensure efficient network operations and deliver a smooth user experience in your Android applications.

Remember to continually monitor and profile your app's network performance to identify potential bottlenecks and areas for further optimization.

Happy coding!


Blog for Mobile App Developers, Testers and App Owners


This blog is from Finotes Team. Finotes is a lightweight mobile APM and bug detection tool for iOS and Android apps.

In this blog we talk about iOS and Android app development technologies, languages and frameworks like Java, Kotlin, Swift, Objective-C, Dart and Flutter that are used to build mobile apps. Read articles from Finotes team about good programming and software engineering practices, testing and QA practices, performance issues and bugs, concepts and techniques. 

Monitor & Improve Performance of your Mobile App


Detect memory leaks, abnormal memory usages, crashes, API / Network call issues, frame rate issues, ANR, App Hangs, Exceptions and Errors, and much more.

Explore Finotes

bottom of page