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Optimizing Android Apps on Variable Network Speeds

Most of the apps today are developed and designed which can perform on all types of networks. While some of us are probably enjoying great connectivity courtesy of our carriers at our school/office/coffees shop wi-fi, there are still some people suffering from poor mobile connections, particularly in emerging markets. If you are developing an Android app you may already fetching information from internet. While doing so there is a chance that internet connection is not available on users handset, connection is slow or fast. Hence its always a good idea to create an app that can perform accordingly on all types of networks.

Facebook has made it known that their goal is to be able to reach and give access to as many markets as possible, and this includes those that still use 2G connections. In this post, we will share how this is possible by Network Connection Class

Network Connection Class allows you to check the quality of the internet connection of the current user, it is an android library. It is a simple code that will help you identify what kind of internet connection a user has on his/her device. Network Connection Class currently only measures the user’s downstream bandwidth. Latency is also an important factor, but in our tests, we’ve found that bandwidth is a good proxy for both.

The connection gets classified into several Connection Classes that makes it easy to develop against. The library does this by listening to the existing internet traffic done by your app and notifying you when the user’s connection quality changes. Developers can then use this Connection Class information and adjust the application’s behavior (request lower quality images or video, throttle type-ahead, etc).

The Network Connection Class library takes care of spikes using a moving average of the incoming samples, and also applies some hysteresis (both with a minimum number of samples and amount the average has to cross a boundary before triggering a bucket change):

Code Sample:
Connection Class provides an interface for classes to add themselves as listeners for when the network’s connection quality changes. In the subscriber class, implement ConnectionClassStateChangeListener:

[section_tc][column_tc span=’12’][blockquote_tc style=’style4′ class=”blog-code”]package com.example.android.connectionclasstest;

import android.content.Intent;
import android.graphics.Bitmap;
import android.graphics.BitmapFactory;
import android.os.AsyncTask;
import android.support.v7.app.AppCompatActivity;
import android.os.Bundle;
import android.util.Log;
import android.view.View;
import android.widget.ImageView;
import android.widget.ProgressBar;
import android.widget.TextView;
import android.widget.Toast;
import com.facebook.network.connectionclass.ConnectionClassManager;
import com.facebook.network.connectionclass.ConnectionQuality;
import com.facebook.network.connectionclass.DeviceBandwidthSampler;

import com.nostra13.universalimageloader.core.ImageLoader;
import com.nostra13.universalimageloader.core.ImageLoaderConfiguration;
import java.io.ByteArrayInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.net.URL;
import java.net.URLConnection;

public class MainActivity extends AppCompatActivity {

private static final String TAG = “ConnectionClass-Sample”;
private ConnectionClassManager mConnectionClassManager;
private DeviceBandwidthSampler mDeviceBandwidthSampler;
private TextView mTextView;
private ImageView mImageView;
private ImageLoader imageLoader;
private ProgressBar mRunningBar;
private ConnectionChangedListener mListener;
private int mTries = 0;
private ConnectionQuality mConnectionClass = ConnectionQuality.UNKNOWN;
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_main);
imageLoader = ImageLoader.getInstance();
imageLoader.init(ImageLoaderConfiguration.createDefault(getBaseContext()));
mConnectionClassManager = ConnectionClassManager.getInstance();
mDeviceBandwidthSampler = DeviceBandwidthSampler.getInstance();
mRunningBar = (ProgressBar) findViewById(R.id.runnigBar);
mTextView = (TextView) findViewById(R.id.connectionClass);
mImageView = (ImageView) findViewById(R.id.imageView);
findViewById(R.id.testButton).setOnClickListener(DownloadImage);
mTextView.setText(mConnectionClassManager.getCurrentBandwidthQuality().toString());
mListener = new ConnectionChangedListener();
findViewById(R.id.upload).setOnClickListener(UploadImage);
findViewById(R.id.vdButton).setOnClickListener(PlayVideo);
}

@Override
protected void onPause() {
super.onPause();
mConnectionClassManager.remove(mListener);
}

@Override
protected void onResume() {
super.onResume();

mConnectionClassManager.register(mListener);
}
String connectionQuality=null;

private class ConnectionChangedListener
implements ConnectionClassManager.ConnectionClassStateChangeListener {

@Override
public void onBandwidthStateChange(ConnectionQuality bandwidthState) {
mConnectionClass = bandwidthState;
runOnUiThread(new Runnable() {
@Override
public void run() {

connectionQuality = mConnectionClass.toString();
switch (connectionQuality){
case “POOR”:
double val1 = mConnectionClassManager.getDownloadKBitsPerSecond();
mTextView.setText(“Quality is “+connectionQuality+” “+val1 +” and Bandwidth under 150 kbps so poor quality Image downloaded”);
android.support.design.widget.Snackbar.make(findViewById(R.id.main),”Quality is “+connectionQuality+ val1 +”\n and Bandwidth under 150 kbps so poor\n quality image is downloading”, android.support.design.widget.Snackbar.LENGTH_LONG).show();
new DnloadImage().execute(“http://storage.googleapis.com/ix_choosemuse/uploads/2016/02/android-logo.png”); // 80 kb
break;

case “MODERATE”:
double val2 = mConnectionClassManager.getDownloadKBitsPerSecond();
mTextView.setText(“Quality is “+connectionQuality+” “+val2 +” and Bandwidth between 150 to 550 kbps so moderate quality Image downloaded”);
android.support.design.widget.Snackbar.make(findViewById(R.id.main),”Quality is “+connectionQuality+ val2 +”\n and Bandwidth between 150 to 550 kbps so moderate\n quality Image is downloading”, android.support.design.widget.Snackbar.LENGTH_LONG).show();
new DnloadImage().execute(“http://static.giantbomb.com/uploads/original/15/157771/2312725-a10.jpeg”); // 454 kb
break;

case “GOOD”:
double val3 = mConnectionClassManager.getDownloadKBitsPerSecond();
android.support.design.widget.Snackbar.make(findViewById(R.id.main),”Quality is “+connectionQuality+ val3 +”\n and Bandwidth between 550 to 2000 kbps so good\n quality Image is downloading”, android.support.design.widget.Snackbar.LENGTH_LONG).show();
mTextView.setText(“Quality is “+connectionQuality+” “+val3 +” and Bandwidth between 550 to 2000 kbps so good quality Image downloaded”);
new DnloadImage().execute(“http://techclones.com/wp-content/uploads/2013/09/Best-Dark-HD-Wallpaper-Android1.png”); // 1.04 mb
break;

case “EXCELLENT”:
double val4 = mConnectionClassManager.getDownloadKBitsPerSecond();
mTextView.setText(“Quality is “+connectionQuality+” “+val4 +” and Bandwidth over 2000 kbps so excellent quality Image downloaded”);
android.support.design.widget.Snackbar.make(findViewById(R.id.main),”Quality is “+connectionQuality+ val4 +”\n and Bandwidth over 2000 kbps so high\n quality Image is downlaoding”, android.support.design.widget.Snackbar.LENGTH_LONG).show();
new DnloadImage().execute(“http://static.giantbomb.com/uploads/original/15/157771/2312721-a7.png”); // 2.49 mb
break;

case “UNKNOWN”:
mTextView.setText(“Sorry we are getting nothing”);
break;
}
}
});
}
}

private final View.OnClickListener DownloadImage = new View.OnClickListener() {
@Override
public void onClick(View v) {
mRunningBar.setVisibility(View.VISIBLE);
mTries=0;
String quality = mConnectionClass.toString();
Toast.makeText(MainActivity.this, “Quality ->”+quality, Toast.LENGTH_SHORT).show();
new DnloadImage().execute(“”);
}
};

private final View.OnClickListener UploadImage = new View.OnClickListener() {
@Override
public void onClick(View v) {
//showFileChooser();
Intent intent = new Intent(MainActivity.this, UplaodActivity.class);
startActivity(intent);
}
};

private final View.OnClickListener PlayVideo = new View.OnClickListener() {
@Override
public void onClick(View v) {
Intent intent = new Intent(MainActivity.this, VideoActivity.class);
startActivity(intent);
}
};

private class DnloadImage extends AsyncTask<String, Void, Bitmap> {

@Override
protected void onPreExecute() {
mDeviceBandwidthSampler.startSampling();
mRunningBar.setVisibility(View.VISIBLE);
}

@Override
protected Bitmap doInBackground(String… url) {
String imageURL = url[0];
try {
ByteArrayInputStream byteArrayInputStream;
// Bitmap bitmap;
URLConnection connection = new URL(imageURL).openConnection();
connection.setUseCaches(false);
connection.connect();
InputStream input = connection.getInputStream();

try {
Bitmap bitmap = BitmapFactory.decodeStream(input);
return bitmap;
} finally {
input.close();
}
} catch (IOException e) {
Log.e(TAG, “Error while downloading image.”);
}
return null;
}

@Override
protected void onPostExecute(Bitmap bp) {
mDeviceBandwidthSampler.stopSampling();
Toast.makeText(MainActivity.this,””+mTries,Toast.LENGTH_SHORT).show();

if (mConnectionClass == ConnectionQuality.UNKNOWN && mTries < 10) {
mTries++;
new DnloadImage().execute(“https://familysearch.org/learn/wiki/en/images/9/9d/Links-Folder-icon.png”);
}
if (!mDeviceBandwidthSampler.isSampling()) {
mImageView.setImageBitmap(bp);
//imageLoader.getInstance().displayImage(mURL,mImageView);
mRunningBar.setVisibility(View.GONE);

}
}
}
}[/blockquote_tc][/column_tc][/section_tc]

The main way to provide the ConnectionClassManager data is to use the DeviceBandwidthSampler. The DeviceBandwidthSampler samples the device’s underlying network stats, when you tell it you’re performing some sort of network activity (downloading photos, playing a video, etc).

To know more about the Network Connection Class and its implementation, feel free to say hello@mantralabsglobal.com. We would surely respond to your queries.

 

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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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