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Causes & Prevention of Reminiscence Leak and Profiling in Xamarin



App reminiscence administration has grow to be one of many key priorities for any developer immediately. With new-gen energy-efficient processors launching day by day &  working methods shifting in direction of environment friendly energy utilization together with smooth UI expertise, immediately’s builders face a problem of creating apps which are smooth & environment friendly in reminiscence administration together with an clever instrument to examine reminiscence leakage proactively. On this article, I will likely be overlaying two main subjects i.e. xamarin profiler (Half 1) and reminiscence management (Half 2). 

Half 1: Xamarin Profiler 

Introduction to Xamarin Profiler: 

Xamarin Profiler is a instrument developed by Microsoft that helps the builders to research the app’s conduct, and its reminiscence allocations with the assistance of a visible studio. It’s a graphical interface that helps doing profiling in android, iostvos, mac functions in mac and android, iostvos functions in home windows.  

Why use a profiler: 

Everyone knows that generally we do not correctly eliminate the objects and due to this fact the rubbish collector is not going to acquire them and take away them from the reminiscence.  

 In different phrases, with the assistance of the profiler, we will examine reminiscence leaks which are being held by objects which ought to ideally be disposed of.  Earlier than that, let’s perceive how the working system manages the reminiscence. 

Xamarin Profiler and Memory Management

There are two sorts of reminiscence, native reminiscence and managed reminiscence. All of the ios and android associated objects like views, instance buttons, textual content views fall into the native reminiscence and the dot net-related objects, for instance, subscriptions, occasion handlers, threads go into managed reminiscence. Each time there’s a course of, the working system offers a small piece of this reminiscence chunk to xamarin mono. So in an effort to examine the reminiscence allocations of managed reminiscence, we want a profiler.  

Rubbish Collector:

 Earlier than getting began with the profiler, let’s perceive what a rubbish collector is. The rubbish collector collects the disposed objects and frees up the reminiscence.  As I mentioned above there are two reminiscence worlds within the working system, native reminiscence, and managed reminiscence. Typically rubbish collectors can’t do their job, as a result of a number of the dot internet objects could also be holding reference to native objects or vice versa. In such circumstances, it’s obscure the place the reminiscence leak is going on. So that is the place the profiles come into the image.  


Visible Studio (Mac or Windows) 

Enterprise license 

System or emulator 

Obtain And Set up: 

Step 1: Obtain and set up the profiler for home windows from the under hyperlink 

Step 2: Click on on the Subsequent button on the window Xamarin Profiler and Memory ManagementStep three: Click on on the checkbox to comply with the license settlement and click on subsequent.  

Xamarin Profiler and Memory Management

Step four: Select the vacation spot folder the place you need to set up the xamarin profiler and click on subsequent once more.  

Xamarin Profiler and Memory Management

Step 5: Click on on the set up button and wait till the set up completes.  

Xamarin Profiler and Memory Management

Xamarin Profiler and Memory Management

Now that we have now efficiently put in the profiler, we should launch it. However earlier than that, we must allow profiling in our app. Let’s talk about that within the subsequent part. 

Launching Profiler From Visible Studio: 

Choose android venture, right-click and choose properties, 

Construct —> Android Debug—> Android choices —> Allow Developer Instrumentation 

As soon as the above step is accomplished, open visible studio and cargo your utility and maintain the app in default debugging mode. Now go to Analyze—> Xamarin Profiler. When you click on on xamarin profiler, the profiler begins profiling routinely.

Xamarin Profiler and Memory Management

In case you do not see the xamarin profiler possibility, examine the troubleshooting information within the under hyperlink. 

Xamarin Profiler Troubleshooting – Xamarin 

Deep Dive Into Profiler Devices: 

Xamarin profiler consists of three essential devices for profiling and they’re allocations, cycles and time profiler. Allow us to perceive how every of them works. 

1. Allocations: Allocations chart is on the prime of the profiler as proven within the under determine. Allocations symbolize the quantity of reminiscence being collected by the rubbish collector at regular intervals of time throughout profiling. This instrument makes use of three knowledge views that assist the developer to know how a lot of the reminiscence is getting used and launched. 

  • Allocations: This represents the reminiscence allotted by the lessons and their related strategies. When you choose a category, it exhibits the reminiscence allotted to that explicit class

Xamarin Profiler and Memory Management

  • Name Tree: This shows the decision tree of the threads used within the utility. In different phrases, it exhibits the reminiscence allotted to every thread.  

Xamarin Profiler and Memory Management

  • Snapshots: This part shows what reminiscence is retained and launched. To generate this data, it’s essential click on on the digital camera button on the toolbar as proven within the under determine. The snapshots data might be captured solely throughout dwell profiling.  

Xamarin Profiler and Memory Management

2. Time Profiler: This instrument represents the period of time taken by every methodology within the utility. The appliance is paused at common intervals and a stack hint is run on every thread. 

Xamarin Profiler and Memory Management

three. Cycles: We regularly by no means eliminate the objects as generally they will likely be holding a reference to different objects. The cycles instrument represents the cycle of those objects within the utility.  

Xamarin Profiler and Memory Management

Half B: 

Reminiscence Administration: 

Introduction: With regards to a cellular utility or an internet site, it’s all the time essential to make sure correct administration of objects and assets to keep away from sluggishness when utilizing the app. If not taken care of, it will result in sluggish efficiency and crashes when used constantly. On this article, I’ll talk about find out how to forestall reminiscence leaks and enhance the efficiency of the app. 

Widespread Reminiscence Leaks: Reminiscence leaks might be very harmful as a result of they result in crashes if allotted reminiscence is full. They will present down the app performance and generally make it unresponsive. 

Xamarin Profiler and Memory Management

Allow us to see few of the frequent reminiscence leaks that we make whereas creating our functions. 

  • Subscribing or registering to occasion handlers, delegates and messaging facilities could cause reminiscence leaks if not unsubscribed and unregistered on the proper place.  
  • Utilizing views, instance  buttons and pictures trigger a reminiscence leak as a result of the rubbish collector doesn’t acquire them till they’re disposed of. 
  • Caching mechanisms to retailer knowledge could cause out of reminiscence exceptions as a result of the reminiscence retains filling up and the app crashes. 
  • Threads ought to be used fastidiously as a result of any reference objects is not going to be collected by the rubbish collector.  
  • Utilizing static variables, occasions are GC roots and usually are not collected by the rubbish collector.  
  • Utilizing bindings could cause reminiscence leaks. So all the time bind to the dependency object or INotifyPropertyChanged to keep away from reminiscence leaks. Keep away from utilizing bindings in pointless locations. 

Steps for stopping reminiscence leaks: 

Under are a couple of approaches to keep away from reminiscence leaks. They not solely enhance the efficiency of the app, but in addition scale back the work carried out by the CPU. Let’s talk about them one after the other.  

1. Use of Asynchronous operations: We will use asynchronous operations to a lot of our capabilities particularly for long-running duties. Asynchronous operations don’t block the UI thread and guarantee a clean transition of consumer interactions. To allow asynchronous operations, dot internet offers async and await key phrases which can be utilized to name asynchronous APIs.  

2. Decreasing the applying dimension: So as to scale back the applying dimension, we have to understand the compilation course of of every platform.  

Android makes use of a just-in-time (JIT) compiler to transform to an intermediate language. 

Home windows makes use of a built-in-time compiler to transform to an intermediate language. 

Ios makes use of an ahead-of-time compiler to transform to ARM meeting language.  

For all of these platforms, applicable linker choices ought to be chosen in an effort to strip off the unused framework class. By default, in xamarin the linker is disabled. We have to allow the proper linker in order that throughout the run time, the applying determines which members, varieties are used and removes the unused varieties. 

To know find out how to choose an appropriate linker, undergo the under hyperlink 

Cross-Platform Performance – Xamarin 

three. Optimizing picture property: Photographs are the most costly assets an utility can have as we use them at excessive resolutions and so they occupy loads of reminiscence. We have to optimize photos based mostly on the cellphone decision by having totally different resolutions and match them based mostly on the cellphone dimension. For instance, use a small decision image if you’re utilizing it in a listview quite than a giant picture that matches a full display screen as a result of there’s loads of CPU wastage to decode them to smaller sizes. Additionally, use the pictures solely when required and launch them when not in use. 

four. Profilers: Profiler is a superb instrument to research the applying conduct and examine for reminiscence leaks. They will also be mixed with native devices to examine reminiscence allocations of native objects. I hope you already know find out how to use them as we have mentioned xamarin profilers in PART- A. 

5. Take a look at for reminiscence leaks within the app: It’s all the time finest apply to check reminiscence leaks for each operate you do. Under is the pattern code to take a look at reminiscence leaks. 

        void MemoryLeakTest() 

6. Unsubscribe from occasions: It’s all the time finest apply to unsubscribe from occasions to eliminate them in order that the rubbish collector does its job. We regularly neglect to do that and this results in reminiscence leaks as the item remains to be holding the reference and retains it alive. This has to be taken care of each time utilizing threads, messaging middle, occasion handlers, and delegates. Under is the pattern code to unsubscribe from occasions and eliminate them 

public class EventDemo
    public class SubscriberDemo : IDisposable

Utilizing Dispose Sample: The dispose methodology is used to launch unmanaged assets. Our rubbish collector doesn’t allocate or launch unmanaged reminiscence. The sample for releasing these objects is named a dispose sample. So as to use the dispose methodology, it’s essential inherit your class with IDisposableInterface.  Under is the code snippet displaying find out how to use dispose methodology.  

 public void Dispose() 

Utilizing Assertion: Each time working with information, steam readers, graphics in .Web framework, we create loads of unmanaged code. By implementing the utilizing assertion, the code is reworked right into a attempt/lastly assertion behind the scenes and the dispose methodology is named on the ultimate clause. So guarantee that you implement “utilizing assertion” each time essential.  

public void CreateFile() 

Measurement Reduction Strategies: Under are few approaches to scale back the applying dimension. 

  • At all times generate the construct in launch mode. 
  • Ensure that the LLVM compiler is used. 
  • Allow the suitable linker in every venture (Hyperlink all for ios tasks and Hyperlink all assemblies for android tasks) 
  • Cut back the variety of architectures to keep away from FAT binary being produced. 

Decreasing Net Service Communication: We regularly make a number of calls over the online in an effort to switch and obtain knowledge. This communication makes use of extra community bandwidth and drains the cellphone’s battery. In consequence, there’s a efficiency hit on our utility. There are a few approaches that may assist us right here. 

  • The JSON format is all the time most well-liked because it makes use of lesser bandwidth whereas sending and receiving knowledge over the community. 
  • Utilizing knowledge switch objects (DTO) throughout knowledge switch between the cellular utility and net service as a result of extra knowledge might be transferred in a single distant name; thereby decreasing the variety of community calls. 
  • As soon as the online service name is made, it’s most well-liked to cache the information regionally as a substitute of requesting the server a number of instances. 
  • Yet one more method to scale back the community bandwidth is to compress knowledge earlier than transferring it over the community. Nevertheless this may improve the CPU utilization and drain the battery. Due to this fact this method have to be fastidiously evaluated earlier than utilizing it.  


To sum up the issues we have now coated, we now know what causes reminiscence leaks, find out how to proccasion them and find out how to use xamarin profiler to search out reminiscence allocations, enhance utility efficiency and do code optimization. So allow us to adapt to a routine to carry out these practices whereas constructing cellular functions.  

I hope this text helps you and saves loads of time. Please do share your suggestions and let me know if you might have any queries. 

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On October 25, Apple will release iOS 15.1 and iPadOS 15.1. What we know so far




Apple released important updates for iOS 15 and iPadOS 15 on Tuesday, to address several issues and a severe security hole affecting the two platforms. Now, according to reports, Apple is working on iOS 15.1 and iPadOS 15.1 builds for iPhone, iPod touch, and iPads.

Also, Twitter user named RobertCFO received confirmation from an Apple Product Security Team member about the final build’s release date. On October 25th, according to a leaked email that was then deleted from Twitter, iOS 15.1 and iPadOS 15.1 will be released, a week after Apple holds its conference.

This follows Apple’s general software upgrade policy, which is to release new updates a week after its events.

SharePlay, which allows you to remotely watch and listen to streaming material with your friends via FaceTime, ProRes video support, as well as Covid-19 vaccination document support in the Wallet app, are all expected features of iOS 15.1.

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PSA: Mining Chia on an SSD Will Completely Wreck It in No Time Flat



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When SSDs first started transport in shopper merchandise, there have been comprehensible issues about their longevity. Time, steadily enhancing manufacturing methods, and a few low-level OS enhancements have all contributed to solid-state storage’s popularity for sturdiness. With experiences praising SSDs as provisionally extra dependable than arduous drives even beneath heavy utilization, it’s straightforward to see how individuals may not see the brand new Chia cryptocurrency as a serious trigger for concern.

It’s. Chia is first plotted after which farmed, and whereas farming Chia takes little or no in the way in which of processing sources, plotting it should completely hammer an SSD.

It’s been years since we talked about write amplification, but it surely’s a difficulty that impacts all NAND flash storage. NAND is written in 4KB pages and erased in 256KB blocks. If 8KB of information must be changed out of a 256KB block, the drive might want to learn the unique 256KB block, replace it, write the brand new block to a unique location on the drive, after which erase the earlier block.

Write amplification has been an issue for NAND for the reason that starting and a substantial amount of work has gone into addressing these issues, however Chia represents one thing of a worst-case situation. Right here’s an excerpt from a latest Chia blog post:

Producing plot recordsdata is a course of known as plotting, which requires short-term space for storing, compute and reminiscence to create, kind, and compress the information into the ultimate file. This course of takes an estimated 256.6GB of short-term house, very generally saved on SSDs to hurry up the method, and roughly 1.3TiB of writes in the course of the creation.

The ultimate plot created by the method described above is simply 101.3GB. There seems to be an order of magnitude of distinction between the full quantity of drive writes required to create a Chia plot and the storage capability mentioned plot requires when accomplished.

Motherboard producers have gotten in on the motion, with one Chia-compliant board providing 32 SATA backplanes.

Right here’s what this boils right down to: A number of shopper SSDs are actually unhealthy decisions for mining Chia. TLC drives with SLC / MLC caches will not be really useful as a result of they provide poor efficiency. Low-end and midrange shopper drives will not be really useful, as a result of they don’t provide excessive sufficient endurance. It’s important to watch out through which SKUs you buy and enterprise and enterprise drives are extra extremely really useful normally.

Don’t purchase a QLC drive to mine Chia.

Optane would appear to be a near-perfect match for Chia, given its a lot greater endurance, however I can’t discover any data on whether or not individuals have tried deploying it in massive sufficient numbers to have some concept of what efficiency and endurance seem like beneath the 24/7 load Chia plotters are placing on their hardware. Possibly any individual will put a rig collectively utilizing it, as a lot out of curiosity as the rest.

Past that, ExtremeTech recommends customers not try and plot Chia on any SSD they aren’t snug with dropping, and to not purchase an SSD for the aim until you don’t thoughts throwing it away if it dies far more rapidly than anticipated. Chia plotting is a worst-case situation for SSD longevity and it needs to be handled as such.

One notice of fine information: To this point, Chia mining has had a a lot stronger affect on high-capacity arduous drive costs than on SSDs and smaller drives. Hopefully, this continues to be the case.

Now Learn:

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Microsoft adapts OpenAI’s GPT-Three pure language expertise to mechanically write code



Microsoft CEO Satya Nadella introduces the brand new GPT-Three integration into Energy Apps in a recorded keynote tackle for the corporate’s digital Construct convention.

Microsoft unveiled new tools for automatically generating computer code and formulation on Tuesday morning, in a brand new adaptation of the GPT-Three natural-language expertise extra generally identified for replicating human language.

The aptitude, to be supplied as a part of Microsoft’s Power Platform, is among the fruits of the corporate’s partnership with OpenAI, the San Francisco-based synthetic intelligence firm behind GPT-Three. Microsoft invested $1 billion in OpenAI in 2019.

“The code writes itself,” stated Microsoft CEO Satya Nadella, saying the information in a recorded keynote tackle to open the corporate’s Build developer conference.

The characteristic is named Power Apps Ideas. It’s a part of a broader push by Microsoft and different expertise corporations to make software program growth extra accessible to non-developers, often called low-code or no-code growth.

Microsoft fine-tuned GPT-Three to “leverage the mannequin’s current strengths in pure language enter to offer Energy Apps makers the power to explain logic similar to they’d to a good friend or co-worker, and find yourself with the suitable system for his or her app,” says Ryan Cunningham of the Energy Apps staff in a publish describing the way it works.

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