Carmen  Grimes

Carmen Grimes

1603945740

Performance Optimization Techniques

Performance is an integral part of the Application design and plays a vital role in the success of your product/application. This is Part-2 of the performance optimization articles series. Performance optimization considerations for an enterprise-level application are discussed as part of Part-1.

Before delving into performance optimization techniques, let us discuss the factors that impact the performance of an application. Below are the most critical factors that impact the performance from my view.

Factors That Impact the Performance of the Application

  • Stuffing home/start page with lots of functionality
  • Making a huge number of API calls/ Loading large JS bundles as part of the initial load of the applications
  • Ineffective JavaScript modules loading strategies (Not effectively using lazy loading)
  • Using large size images without any image optimization/compression
  • Preloading all the data in the browser instead of considering user preferences/user actions
  • Not adopting CDN to deliver the content to the global audience (at least static content/files)
  • Invalid network/tool configurations
  • Using the same website/ APIs for Mobile and Desktop
  • Introducing additional tools only in the production environment

Performance Optimization Techniques

This section gives you an overview of the various techniques that can be employed at various levels of your application. At a global level, below are few areas

User Interface

Below are a few of the core best practices to consider as part of the user interface design and development

User Interface Design Best Practices

  • Consider server-side rendering for your home/landing page if it stuffed with too much functionality
  • Load data on demand always
  • Enabling paging when dealing with large datasets

#javascript #performance #css #best practices #performance optimization

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Performance Optimization Techniques
Carmen  Grimes

Carmen Grimes

1603945740

Performance Optimization Techniques

Performance is an integral part of the Application design and plays a vital role in the success of your product/application. This is Part-2 of the performance optimization articles series. Performance optimization considerations for an enterprise-level application are discussed as part of Part-1.

Before delving into performance optimization techniques, let us discuss the factors that impact the performance of an application. Below are the most critical factors that impact the performance from my view.

Factors That Impact the Performance of the Application

  • Stuffing home/start page with lots of functionality
  • Making a huge number of API calls/ Loading large JS bundles as part of the initial load of the applications
  • Ineffective JavaScript modules loading strategies (Not effectively using lazy loading)
  • Using large size images without any image optimization/compression
  • Preloading all the data in the browser instead of considering user preferences/user actions
  • Not adopting CDN to deliver the content to the global audience (at least static content/files)
  • Invalid network/tool configurations
  • Using the same website/ APIs for Mobile and Desktop
  • Introducing additional tools only in the production environment

Performance Optimization Techniques

This section gives you an overview of the various techniques that can be employed at various levels of your application. At a global level, below are few areas

User Interface

Below are a few of the core best practices to consider as part of the user interface design and development

User Interface Design Best Practices

  • Consider server-side rendering for your home/landing page if it stuffed with too much functionality
  • Load data on demand always
  • Enabling paging when dealing with large datasets

#javascript #performance #css #best practices #performance optimization

Ida  Nader

Ida Nader

1595506545

A Developer's Guide to Optimizing Mobile App Performance - DZone Performance

The invention of mobile phones led to wireless connections between people communicating over a long distance. Users were happy to stay connected with wide coverage offered to them via different cellular phone networks.

Gradually, it became a normal thing for anyone to have a portable phone in their pockets.

As time passed, different innovations influenced the mobile phone technology, thereby, making many functions easier and hassle-free for users.

Today, mobile phones are updated with the latest applications that make various processes and activities easier for daily life. In fact, one cannot imagine life without a mobile phone.

Mobile-app-performance

Why Mobile App Optimization Is Essential

Mobile phones were once a device that enabled communication over a long distance, but now, it has become a tool that makes everything accessible anytime anywhere in just a few clicks.

Starting from booking a cab to ordering food from your favorite restaurant, mobile apps have made life much easier and more convenient than ever before.

As these apps play a dominating role in the lives of individuals, it is important that the performance of these mobile applications is never negatively impacted. This is what makes optimizing mobile app performance a necessity.

Imagine you are too hungry to wait at a restaurant and you pick up your mobile phone to order your favorite food from your favorite restaurant. But, the app is not working properly.

As a result, you are unable to place your order. Will you go back to the same app ever again after the issue? No, right? So, when asked why it is important to optimize a mobile app, the most important answer is user retention.

To be more precise, a mobile app used for any service becomes an important platform for communication between the user and the service provider via easy navigation and proper interface. You can only hold on to a relationship when you can communicate properly.

Hence, having a better communicative platform will definitely lead to improved user retention.

What Factors Affect Mobile App Optimization?

As soon as a developer decides to work on optimizing a mobile app, there are multiple factors that need need their attention:

1. User Expectations

When you are developing a mobile app, think about the customers you or your client are going to serve.

Hence, the process must consider customers or users as the prime factor influencing the development procedure.

While using a mobile app, people want to have an easy user interface along with a stable speed to help the app run. Keep in mind the same concepts when initially developing mobile apps, as well.

2. Adaptive Nature

Mobile applications are used by people irrespective of the places they are in or the time they are contacting their service providers. In short, they may use it from home or on the go.

However, cellular network coverage is not always the same. Hence, being a developer, you must ensure that your app can adapt to changing network coverage offered by different network carriers.

3. User Loss

Remember, if users are not happy while using your app, they won’t come back. Keep this factor in mind and then develop one. If your client loses users, neither they will get the customer back nor will you get your client back. So, be prepared.

When the mobile apps that you develop are in line with the users’ expectations, the latter proves relevant and results in solid feedback and positive reviews online.

#mobile #usability #performance #monitoring #mobile app #optimization #ui #users #app performance

Temesgen Kifle

Temesgen Kifle

1612955820

Performance Analysis and Optimization in Python

Being a Programmer, one of the most important task is to analyse the code and optimize it , so that code should use less memory and time. One may think, finding a part of code which is taking up more space in memory is tedious task. But wait, fortunately in Python, we have different libraries for performance analysis, example: cProfile, line-profiler, guppy, memory-profiler. In this article, we’ll discuss memory-profiler library for monitoring memory consumption.

Module memory-profiler returns line-by-line analysis of memory consumption for python programs.

Installation

pip install -U memory_profiler

To get the line-by-line analysis follow below two steps:

  1. import module.
  2. use decorator @profile

In below example, we are calling my_func(), in which we are just did some calculation and stored in variable ‘a’ , and after that we deleted ‘a’. This program may not be related to real-world problem, but this code is enough to understand memory profiling.

from memory_profiler import profile
@profile
def my_func(x):
    a = [x]*(10**8)
    del a
my_func(20)

Output:

Line ##    Mem usage    Increment  Occurences   Line Contents
============================================================
     2     20.3 MiB     20.3 MiB           1   @profile
     3                                         def my_func(x):
     4    783.2 MiB    762.9 MiB           1       a = [x]*(10**8)
     5     20.3 MiB   -762.9 MiB           1       del a

#python #performance-analysis #optimization-techniques

Carmen  Grimes

Carmen Grimes

1595505720

How to Test Mobile App Performance: 3 Key Components - DZone Performance

You’ve probably interacted with an app on your phone or tablet that’s slow, takes a long time to load, freezes, or even crashes on you altogether.

Frustrating, right?

On the flip side, you can probably think of an app that you love to use because from day one, it’s never given you any trouble.

Or maybe you never paid any mind to an app that works quickly, because isn’t that how it’s supposed to be?

So, what causes one app to be crash-prone and another, fast, and reliable?

Whether an app has good or bad performance depends on three factors: the backend, the network, and the app itself running on the device.

A developer or mobile tester can measure the performance of an application in different scenarios.

For example, they can test for when there’s a concurrency of users on the app at the same time, on different devices (which vary in hardware resources and screen sizes), and multiple networks such as 3G, 4G, Wifi, and more.

The reality is that many variables affect the performance of a mobile application. Moreover, a user may have a very bad experience with your app and the cause might not even have anything to do with the code or its implementation.

But, by running performance tests for each of these three factors, you’ll be able to identify problems and optimize your app for the best user experience possible.

Keep reading as we’ll cover the different types of tests for each factor, what to measure, and what tools are available to help you along the way.

1st Mobile Performance Factor: The Backend

A mobile app’s backend architecture is generally based on an application server, a web server, and a database.

**When it comes to the backend, the things related to performance that are important to know when an app is under load are the server’s response times, database queries times, and the server’s resource usage. **

Using this information, it’s easier to detect issues such as:

  • High server response times
  • Bottlenecks or breakpoints in the database and application server resources
  • Poor implementation of escalation policies

So what kind of tests are normally run to check the app’s backend performance? Load tests.

This is when you simulate load on the backend in different ways, whether it be through stress testing, peak testing, endurance testing, load testing, etc.

In general, the objective of these tests is to understand how the backend systems of an app behave and handle a certain volume of concurrent users.

Several tools allow you to load test your mobile app. The most commonly used ones include:

Apache JMeter – the number one open-source load testing tool

Gatling– a developer-friendly, open-source load testing tool with scripts written in Scala

BlazeMeter – a cloud performance testing platform that scales your JMeter or Gatling tests for a greater amount of concurrent users

2nd Mobile Performance Factor: The Network

With regards to the network that the device is connected to, there are two key things to measure: latency and bandwidth.

  • Latency is the time that elapses when information is sent on the network (measured in milliseconds).
  • Bandwidth is the maximum capacity (the amount of data) that can be transmitted through the network (measured in bits per second).

For mobile performance, the lower the latency and the higher the bandwidth, the better.

An app’s performance can vary depending on, for example, whether it’s connected to a 3G network or a 4G network, and unfortunately, this is beyond an app developer or tester’s control.

But, it is possible to incorporate the network during the mobile app performance testing process, simulating the different types of networks and measuring their impact on the response times, both on the server-side and the client-side.

#tutorial #performance #mobile apps #load testing #mobile testing #mobile app performance #client side performance

Optimizing Golang Application for Performance and Scalability

Quick Summary: The modern app market dictates high requirements and overall app performance for the user experience. But it is advisable to optimize the Go performance only if the improvements can be justified, i.e., resource efficiency-related benefits for the business. In this blog, we’ll discuss the most awaited performance patterns for your Golang application, make your app load fast, work seamlessly, and not crash.

Introduction

When investing time and effort for performance tunning, ensure that even if your application is optimizable for efficiency, it doesn’t necessarily have to be optimized. There may be various reasons for optimizing performance, but the need is always the same. As you have chosen Go language for your project, you’re already on the right track. But you need to improve your Go application’s performance and speed to make it the best in the market.

Everyone wants a high performance and speedy application; a user wants speedy delivery, a developer wants fast performance, whereas an entrepreneur wants both!

The two main motive of app performance monitoring are:

Get data on app performance: There are APM tools to monitor data on its performance, converted it into reports, and help you identify ways to optimize performance.

Get regular alerts on unusual action: APM software is used to analyze data over the long term on non-deterministic behavior, so you can alert DevOps engineers of the need to scale on time.

Here we’re going to learn about how to improve your Golang application’s performance, so without further ado, let’s get started!

Efficiency Optimization vs. Latency Optimization

The two different but related aspects of application performance are efficiency and operation latency. They aim to optimize the performance of the entire program’s resource consumption and focus on specific function latency improvements. Improvements in resource efficiency have a positive effect on latency, which may increase resource utilization.

There are few parts of the program which will utilize more resources compared to others. To improve latency, it is essential to identify bottlenecks to represent the code that consumes a significant amount of time processing a single task.

Profiling Tools

Locating program hot spots and bottlenecks during the development process and simulated test environments are the most suitable. We prefer the Instana Go Profiler as it uses Go’s built-in pprof securely in any environment.

To determine the hidden parts of the program, benchmark profiling can be used.

Use efficient network polling for some requests

Goroutine is responsible for handling network IO using an operating system polling machine. There are many waiting goroutines that will be serviced by a single operating system thread.

Despite local file IO, Go doesn’t implement any IO polling as each of these consumes one operating system thread while in progress. You can use a buffered channel as a semaphore to limit the amount of concurrent blocking IO.

var semaphore = make(chan struct{}, 10)

func processRequest(work *Work) {
semaphore <- struct{}{} // acquire semaphore
// process request
<-semaphore // release semaphore
}

Algorithm Efficiency

Algorithm optimizations offer the highest performance gains. It is a good idea to take into consideration algorithm improvements and focus on the language optimizations. Go performance optimization focus on the efficient use of the programming language. Various micro-optimizations are automatically taken care of by the compiler.

Golang Performance Patterns

● Parallelize CPU work
Your work can be parallelized without synchronization by taking advantage of all the cores that help you speed up performance to the number of physical cores.

● Make I/O operations asynchronous
Network and file I/O is the widely used bottleneck in I/O-bound applications. Making independent I/O operations asynchronous can improve downstream latency. Use sync—WaitGroup to synchronize multiple operations.

● Do not allocate memory in hot spots
Creating objects require additional CPU cycles and also keeps the garbage collector busy, which is a good practice to reuse objects in program hot spots.

● Favor read-only locks
Synchronization leads to race conditions. Avoiding mutexes will have a positive impact on efficiency and latency. Lock-free alternatives to some common data structures are available.

● Use regular expressions
It is incapable of compiling the same regular expression before every matching. While obvious, it is often overlooked.

● Use int, not string, for maps
If the program relies heavily on maps, using int keys might be meaningful, if applicable.

● Use read-only locks
Using full locks for read-heavy synchronized variables will make the goroutine wait, so you can use rad-only locks to avoid this.

Final Thoughts

After reading this blog, you may have realized that application performance monitoring is very important and must be done regularly. There are various performance management solutions available which made this process more efficient. Today’s world is dependent on apps, so improving your Golang application’s performance is critical for your business’s success. However, you have to optimize your application along the critical path, which is likely to identify what adequate performance is. If you think you need an experienced Golang development company to help you in optimizing your golang application, get in touch with our expert on Skype- Bacancy or visit our website.

#optimize #golang #application #performance #scalability