Understanding Bamboo integration for CI/CD Pipeline

Dinakar
By Dinakar
October 23, 2020
5 min Read
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Understanding Bamboo integration for CI/CD Pipeline

There are nearly 23.9 million software developers who code and build programs for businesses and enterprises that look to providing solutions for a better living. This means that there are millions of lines of program code being written this very instant as you read. While there is a lot of programming and development that is going on worldwide, how are people and businesses able to execute these lines of code into real-world practical applications is a question that we must ask. The future of application or software development lies in testing and deployment technologies like DevOps, CI/CD Pipeline, automation, etc.

Software testing has gone through different eras from manual testing to automation to continuous testing. The current testing technologies that most software firms are looking to explore is what is called the DevOps which is part of the broader framework of Continuous Testing, and CI/CD is part of this broader piece of the pie.

What is CI/CD Pipeline?

In the software testing domain, CI/CD pipelines have been exhaustively used to speed up the testing and deployment processes to produce results that are effective and efficient. While some of us already know of the CI/CD technologies and how they function, most of us are still exploring its features and possibilities. To get our fundamentals right, CI stands for Continuous Integration which means that there is a continuous generation of build and test sequences to any program or software package that is built using code. CI monitors the code consistently for any changes or modifications to automatically generate the build and test sequence for the project that you build.  

CD on the other hand also called Continuous Delivery ensures the administration of the automatic infrastructure deployment for the builds. While the CI/CD pipeline is a framework that is available to use, there are different tools that implement this technology to help businesses release their software applications faster.

Bamboo is one such application that implements the CI/CD framework.

What is Bamboo CI Server?

Bamboo is a continuous integration server that is used to automate the testing of any software program or application for a quicker release creating a continuous delivery pipeline. The CI/CD pipeline is instrumental in automating builds, documenting logs, executing tests to assess different parameters of the program and its functionality of the code that is committed. Bamboo integration enables developers to create automated build and test processes for any software program. It also provides a platform to segregate builds that have different targets and requirements, an added advantage is its ability to deploy the program automatically into the server for its release, which saves a lot of time as compared to manual testing. Below is a list of features that are available on the Bamboo platform.

Bamboo Feature

Bamboo uses a repository of code that developers provide to schedule and coordinate the building and testing processes of your application. In order to schedule these automated processes, one would need to have the complete source code of the project, the build, and test scripts.

Advantages of Bamboo integration

A CI server like Bamboo advances the amounts of time it takes to perform builds and deployments. Some of its advantages include –

  • Umteen integrations that are compatible with Bamboo make it all the more faster for businesses to assess and make changes using the test analytical data.
  • End-to-end visibility into quality, release management and status of builds all in one place. 
  • Most of the Functionality is pre-built into the platform with minimal to no need for plugins. 
  • Seamless integration with products such as Jira and Bitbucket 
  • Bamboo’s CI makes it deployment-ready as well. 
  • Tinder and intuitive user-interface makes it easy to navigate through options and tools for a fast and easy functionality. 
  • Different staging environments available on Bamboo allows the QA and developer teams to deploy environments on demand without causing any disturbance to the production environment.
Bamboo integrations

Workflow of Bamboo CI Server

Bamboo’s workflow is pretty straightforward when it comes to coordinating the builds and test suites. The configuration of the order of actions in its workflow is generally divided into different segments and sections which make up the building blocks of its workflow. A high-level understanding of the building blocks of a Bamboo workflow would point you to Plans, Jobs, and Tasks.

Plans consist of a single-stage by default. However, it can be used to group jobs into multiple stages to execute the jobs as and when required. Plans use the same repository to run a series of one or more stages sequentially for faster execution and app testing needs. While you can have separate stages to segregate jobs and tasks within them, Plans ensure that you have everything in one place. 

Jobs consists of tasks that are run sequentially on the same agent. They provide you control over the order of the tasks that need to be performed for your build. Jobs collect the requirements of the tasks to map out the capabilities required for it in the understanding of the Bamboo CI Server. 

Tasks are the smallest discrete working units that execute the commands given to any system. A general task would comprise of parsing test results, executing Maven goals, running scripts, or executing source code checkouts. Tasks run sequentially within a job on the working Bamboo directory.

Integrating Bamboo CI server for your testing needs is sure to help you scale up the pace of your builds and deployments. The several integrations that are supported by Bamboo will help gather all your requirements in one place for execution and implementation. You can easily integrate pCloudy as your cross-browser testing tool to test your websites and web-apps and analyze your test result on the go. For a detailed summary of the steps you need to follow, you can click on the Bamboo integration link here.

Dinakar
Dinakar

Dinakar is a Content Developer at pCloudy. He is an ardent technology explorer who loves sharing ideas in the tech domain. In his free time, you will find him engrossed in books on health & wellness, and playing the guitar. He loves the sight of the oceans and the sound of the waves on a bright sunny day.

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Functional Testing Vs Non-Functional Testing

Suyash Dubey
By Suyash Dubey
October 20, 2020
14 min Read
Share This Article
Functional Testing Vs Non-Functional Testing

According to a report, app crashes cause 71% of uninstalls. Other reasons that compel users to uninstall apps are page response time, confusing UI, and battery consumption. This indicates the importance of functional testing as well as non-functional testing in delivering a user-friendly app. So let’s examine functional testing.

What Is Functional Testing?

Functional testing is done to make sure that the functions of an app are working in conformance with the required specification. It is black box testing and does not go into the details of the source code of the app. In functional testing the focus should be on the user-friendliness of the main functions of the app.

To perform functional testing, first we need to identify the test input and compute the expected outcomes with the selected test input values. Then we execute the test cases and compare the actual data to the expected result.

Functional Testing

Functional Testing Types

Let’s have a look at types of functional testing for mobile applications.

Unit Testing

In Unit Testing, individual components of a software application are tested during the development phase. Unit testing is usually done by developers as opposed to testers. A function, which is in the form of a section of code, is tested to verify accuracy. Drivers, unit testing frameworks, mock objects, and stubs are used to perform unit testing.

Unit testing is usually automated, but sometimes it can be done manually. A manual approach can be effected with the help of an instructional document. Unit testing can be performed on all types of mobile applications.

In automated unit testing, a developer writes code in the app to test the function or procedure. Once the app has been deployed, that code can be removed. The function can be isolated to test the app rigorously. It reveals the dependencies between the code being tested and other units. Then the dependencies can be eliminated. Most of the developers use a unit test automated framework to log the failing test cases.

Integration Testing

Integration testing is done to check if the individual components of the app function as expected when integrated. Integration testing is usually done after unit testing when all the builds are tested and combined.

A software module is generally tested by a software developer, whose programming logic might differ from that of other developers. Integration testing is done to check that the logic works in unity. At the time of product development the requirements of the client may change, hence integration testing becomes necessary if the new changes are not unit tested at the time of development. Integration testing is also important because interfaces between the software module and the database could be erroneous.

Sanity Testing

Sanity testing is performed after receiving the software build with minor changes in the functionality to make sure that the errors are rectified and there will be no issues due to these changes in the future. The goal is to test the function on a superficial level (not thoroughly) to see if the developer has rationally built the function or not.

Usually, these following steps are considered while performing sanity testing: Mark the modifications introduced in the code with the newly added features. Evaluate these marked features to ensure that they are fulfilling their motive. Then test the related features, associated parameters, and elements to ensure their proper working. After all this, the build can be subjected to other advanced testing methods. It’s better to use a cloud-based testing platform rather than online Android emulators as they provide hundreds of device browser combinations.

Smoke Testing

This is done to check if the build is stable enough to proceed with further testing. Smoke testing is done end to end and not for a particular component as we do in insanity testing.

Smoke testing, also known as “build verification testing” is a type of software testing that comprises a set of test cases aimed at ensuring that the most important functions work. It is often a set of automated regression and functional tests that are focused on the most important and frequently used feature. The results of this testing are used to decide if a build is stable enough to proceed with further testing. So can we say that smoke testing should also involve performance testing, it should only be executed if the web application has a significant amount of traffic and performance metrics like page loading time are critical?

Regression Testing

Regression testing is done to check if the newly added code has any adverse effect on the functionality of the app. This is done when a new feature has been added to the app or if there have been some changes in the code. The changes in the code can impact the existing flow of the product or they may have bugs. This can be evaluated through regression testing, in which the motive is to initiate optimization and enhancement, as well as fixing issues if needed in the existing feature.

System Testing

System testing is the testing of a fully integrated software product. The software is interfaced with hardware and other software and a series of tests are conducted on the fully integrated app on the system. It can be a white box or black box or both.

Here, non-functional testing refers to reliability and performance testing, efficiency testing, portability testing, and maintainability testing. The functional testing at the system level verifies interoperability testing of interfacing with all external components, along with end-to-end business workflows. In system testing, the testers may also need to deal with the undocumented or incomplete requirements of the software.

System testing needs to fulfill the following requirements:

  • Test for the functional and non-functional requirements of the software.
  • Test the whole software as per the scope of the release.
  • Test must be conducted in a production environment.
  • This is the final phase of testing before the release of the software

Beta/User Acceptance Testing

Beta testing and UAT (user acceptance testing) happens in the final phase of the testing process before the app is ready to be released. It is performed by the client/user to validate end-to-end business flow and user-friendliness.

This may also involve verification of the help desk functions, backup, recovery, business processes, and user training material evaluation.

User satisfaction increases as users become more confident that the requirements have been met, without any fear of how the product will behave in a real environment or that critical issues will arise when least expected. The quality criteria of the product are defined in the early phase of development.

Vendors have improved communication both with the clients and within the team, as the requirement definition is improved through the acceptance tests and signed by the client. The engineering team ends with minimizing the pressure during the implementation and risks of post-implementation. Stakeholders use the information gathered through UAT to better understand the target audience’s need.

What Is Non-Functional Testing?

Non-functional testing is designed to evaluate the readiness of an app with various criteria like in load testing, scalability testing, and stress testing. It evaluates how well the app will perform in challenging conditions.

Non Functional Testing Types

Let’s look at the five major types of non-functional testing for mobile applications.

Performance Testing

Performance testing is done to ensure that the app will work smoothly under the expected workload. The goal is to find performance issues like reliability, resource usage, etc.but not to find bugs. Three main things that we should keep in mind while doing performance testing are quick response, maximum user load, and stability in a varied environment. Even if you are focusing on mobile testing and using online Android emulators, performance testing cannot be avoided.

Types of Performance Testing:

Endurance Testing:This is done to check if an app can withstand the load that it is expected to endure for a long period of time.

Scalability Testing:This is done to check the performance of an app at maximum load and minimum load at software, hardware, and database level.

Load Testing:In this, the system simulates actual user load on an app to check the threshold for the maximum load the app can bear.

Stress Testing:This is done to check the reliability, stability, and error handling of an app under extreme load conditions.

Spike Testing: In this, an app is tested with sudden increment and decrement in the user load. By performing spike testing, we also get to know the recovery time for an app to stabilize.

Volume Testing:This is done to analyze an app’s behavior and response time when flooded with a large amount of data.

Compatibility Testing

Compatibility testing is performed to make sure that the app works as expected on various hardware, operating systems, network environments, and screen sizes.

Security Testing

Security testing is the most important part of the mobile app testing process and it ensures that your app is secure and not vulnerable to any external threat like malware and viruses. By doing this we can figure out the loopholes in the app which might lead to loss of data, revenue, or even trust in the organization.

Let’s have a look at the major security threats that should be eliminated during security testing.

Privilege elevation

In this, the hacker might app but he/she can increase the privilege that has been provided by already have an account in your app and using the services provided by your default. For example, if the app has a clause to award credits for referring the app to a friend then the hacker can extend the limit and get more money out of it.

Unauthorized data access

The most common type of attack is by gaining unauthorized access to valuable information. This can be done simply by hacking the login credentials or by hacking the server to access the data.

URL manipulation

Hackers manipulate the URL query string if the app or website uses the HTTP GET method to transfer data between the client and the server. The QA team can pass a modified parameter value to see if the server accepts it.

Denial of service

This type of attack renders the services of the app inaccessible to the end-users. The hackers can also rapture the working mechanism of the app and the server machine to make it unstable.

Usability Testing

Usability testing is performed by a small set of users to figure out the usability defects in the application. It is done in the initial phase of software development when the design is proposed. The focus is on how easy it is to use the app and if the system is meeting its expected objective. This type of mobile testing can also be performed on online android emulators.

There are a few methods by which we can carry out usability testing. One is during the design phase where you can evaluate the design by just drawing on a piece of paper. Random tests can also be done once the app is built to check for usability. This can be done by real users on the site which can then provide results. Conversely, a tool might be very helpful with the statistics based on the inputs on design and wireframes.

The first step in performing usability testing structurally is to identify the userswho are to operate the usability app. It is necessary to choose the users according to the behavior of the app with reference to geography, age, gender, etc. The next step is to design a task that the user is supposed to perform and then to analyze the results of the testing.

Usability can be done in an isolated test area in front of observers who inspect the testing and create a report on the assigned task. The next option is remote usability testing in which the observer and the testers are located in separate locations and the task is done remotely. Testers’ details such as their reactions are recorded by automated software.

Localization Testing

This is done to assure that the app is customized and behaves as per the culture of the country in which it will be available. The key focus is on the content and the UI of the app. The app goes through a process of testing to check if the default language, date AND time format, currency, etc. are designed as per the targeted region.

<

Difference between Functional Testing and Non-Functional Testing

Functional TestingNon-Functional Testing
Validates the actions and operations of an application.Verifies the performance of the application.
Focuses on user requirements.Focus on user expectations.
Executed before non-functional testing.Executed after functional testing.
Easy to define functional requirements.Difficult to define requirements for non-functional testing.
Eg., check login functionality.Eg: the page should load in one second.
Functional testing is easily executed by manual testing.Non-functional testing should be automated.

Conclusion

On average, an app loses 95% of new users after the first three months. This is because there is not enough focus on testing, and as a result the app has bugs. This can be avoided with a good strategy and tools to perform functional testing and non-functional testing on the apps. Cloudy has features which make functional testing and non-functional testing easy and quick. It is important for users as it saves them money and resources.

Watch this video to learn more about pCloudy :

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Suyash Dubey
Suyash Dubey

Suyash is a content strategist at pCloudy. He is a frequent contributor to the world's leading mobile technology blogs and tech forums. In his spare time, you will find him reading detective novels, watching a documentary or exploring a new destination.

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pCloudy Launches QR Code Testing Feature

prerna.bhatt
By prerna.bhatt
August 18, 2020
2 min Read
Share This Article
pCloudy Launches QR Code Testing Feature

Technology and innovation are two sides of the same coin. Technology is the power that lets the mankind turn ideas into reality within no time. At pCloudy, the power of innovation has led us to stay aligned and be in pace with the dynamics of the mobile app industry. We cannot afford to let our customers stay deprived of any technological advancements happening in mobile app testing. Once again we are back with another new feature called QR code scanner and we are proud to announce that it is already launched on our platform.

Nowadays many mobile applications use QR code scanners for a product or user identification. The QR Code scanning feature in pCloudy enables users to test the QR code feature through mobile applications on multiple devices present in pCloudy. This feature ensures the smooth functioning of the QR code function present in the mobile application. To use this feature, all you need to do is upload the mobile app under test, a QR code image file, and with the help of some simple steps, you can smoothly perform testing of the QR code scanning function of your mobile application.

Test QR Code
The app will scan the injected QR code. You can scan multiple QR codes while testing your app on different mobile devices. So from now on you can easily perform QR code testing in pCloudy. This feature is supported on Android 5.0 devices and later versions. Supported QR Code file formats are .png,.jpeg and jpg.

Watch our video on QR code scanner feature:

prerna.bhatt
prerna.bhatt

Prerna is Marketing Executive in pCloudy. She takes keen interest in exploring technical articles and being in pace with the latest updates on software testing. Apart from technology she has written blogs on health, food and travelling .In her free time, you will find her amidst nature, reading or attending public seminars.

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Android Log Analysis

Suyash Dubey
By Suyash Dubey
August 7, 2020
5 min Read
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Android Log Analysis

Android uses a centralized system for all logs and application programmers can also write custom log messages. The tooling to develop Android applications allows you to define filters for the log statements you are interested in. Log analysis is a phase of development and developers encounter it from time to time. Bug log helps in identifying the bugs in the Android application while in the development phase. Once the app is released into the market, the support engineers analyze the bug logs to resolve the issue. There are for different types of Logs available in the Android Eco-System – Application Logs, Android System Logs, Event Logs & Radio Logs.

The logging system consists of a kernel driver and kernel buffers for storing Android log messages, C, C++ and Java classes for making log entries and for accessing the log messages, a standalone program for viewing log messages (logcat) and the ability to view and filter the log messages from the host machine (via eclipse or ddms).

There are four different log buffers in the Linux kernel, which provide logging for different parts of the system. Access to the different buffers is via device nodes in the file system, in /dev/log. The four Android log buffers are main, events, radio and system. The main log is for the application, events is for system event information, radio is for phone related information and system is low level system messages and debugging.

flow chart
Each message in the log consists of a tag indicating the part of the system or application that the message came from, a timestamp (at what time this message came), the message log level (or priority of the event represented by the message) and the log message itself (detail description of error or exception or information etc).

What Each Android Log Type Contains:

1. Application log
use android.util.Log class methods to write messages of different priority into the log
Java classes declare their tag statically as a string, which they pass to the log method
The log method used indicates the message “severity” (or log level)
Messages can be filtered by tag or priority when the logs are processed by retrieval tools (logcat)

2. System log
Use the android.util.Slog class to write message with different priority with its associated messages
Many Android framework classes utilize the system log to keep their messages separate from (possibly noisy) application log messages
A formatted message is delivered through the C/C++ library down to the kernel driver, which stores the message in the appropriate buffer(system buffer)

3. Event log
Event logs messages are created using android.util.EventLog class, which create binary-formatted log messages.
Log entries consist of binary tag codes, followed by binary parameters.
The message tag codes are stored on the system at: /system/etc/event-log-tags.
Each message has the string for the log message, as well as codes indicating the values associated with (stored with) that entry.

4. Radio log
Used for radio and phone (modem) related information
Log entries consist of binary tags code and message for Network info
Logging system automatically routes messages with specific tags into the radio buffer

Device Logs on pCloudy Platform.
Device Logo

    Device Logs Filter Options


Device Log Filter Options

Log format on Android
A common log format in android:

tv_sectv_nsec priority pidtid tag messageLen Message

tag: log tag
tv_sec&tv_nsec: the timestamp of the log messages
pid: the process id of where log messages come from
tid: the thread id
Priority value is one of the following character values, ordered from lowest to highest priority:

V — Verbose (lowest priority)*
D — Debug*
I — Info*
W — Warning*
E — Error*
F — Fatal*
S — Silent (highest priority, on which nothing is ever printed)

Log-File locations
There are several directories where Android log (including those from crashes) stores and it are not standardized (i.e. some may be ROM-specific). I am putting some of common here.
/data/anr : Dalvik writes stack traces here on ANR, i.e. “Application Not Responding” aka “Force-Close”
/data/dontpanic : contains some crash logs including traces
/data/kernelpanics :- Stores “kernel panic” related logs
/data/tombstones :- may hold several tombstone_nn files (nn is a number from 0 to 10 and after 10 again repeat it)

‘Log’ command line tool
To capture Android log from the devices/emulator Below is the some command line tool. In real life project there are log capture application/tool used to capture the logs on user device and shared it back to Developer/maintainer for analysis .
adb logcat (shows all type logs for current android system
adb logcat -v threadtime (it will include date and time)
adb logcat -v threadtime> logfile.txt (Store logs in logfile.txt)

Useful filter patterns
You can use below filter in your adb command to filter logs. You can also use this filter to search your logs file(Android logs provided by user device).
adb logcat -f Save all logs into a file
adb logcat “*:E” Get all errors and fatals
adb logcat | grep -i “foo.example.” #get all logs related to “foo.example.*” tagname
adb logcat “application_or_tag_name:*” “*:S” Get all logs by application name
adb logcat -b events “gsm_service_state_change” “*:S” Get all GSM state changes
adb logcat -b radio Get all Radio events

Log Analysis
In this blog we got the basic understanding of the Android Log System. While analyzing the Android logs from your app you can divide it in two parts, debug Logs – file coming during development and testing phase and production Log – file coming directly from end user. The best way to do it is by using useful Filter Patterns and by using Some Tool like GoogleLogTool and SonyLogTool.

Suyash Dubey
Suyash Dubey

Suyash is a content strategist at pCloudy. He is a frequent contributor to the world's leading mobile technology blogs and tech forums. In his spare time, you will find him reading detective novels, watching a documentary or exploring a new destination.

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How Continuous Testing in DevOps enables quality in the CI/CD Pipeline

priyanka
By priyanka
July 16, 2020
6 min Read
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How Continuous Testing in DevOps enables quality in the CI/CD Pipeline

We all understand the importance of software testing and how it transforms the goodwill of the business by enabling delivery of quality product to its clients in shorter delivery cycles. It becomes challenging to run the test cases manually by evaluating the quality of each line of code at every step of the continuous Delivery process. This is where Continuous testing in DevOps comes into picture.

Continuous testing in DevOps Pipeline


In traditional ways of testing the software used to pass through different development and QA phases which took more time until the final delivery of the product. According to a research by Gartner, Continuous testing in DevOps is aimed at providing early and quick detection of signs of risks related to the product release. DevOps Continuous Testing is an inevitable activity of the delivery process rather than just a mere stage in the delivery process. The main purpose is to inculcate quality into the CI/CD pipeline by utilizing the key benefits of continuous testing in DevOps.

Continuous Testing in DevOps
DevOps Continuous testing is a critical aspect responsible for seamless Continuous Delivery. It involves the usage of agile development methods and processes into the QA process further providing a productive testing process.

Here are a few points to understand the benefits of Continuous testing in DevOps at the deeper levels:

a. Provides Sustained Risk Analysis:

There has never been any code build that is error free and in a ready-to-release form. Even if the final release candidate has come without any glitches, passes all the tests, it has to be ‘prepared well’ for the final release and approved by the business leaders. Continuous Testing evaluates the code at a deeper level to estimate all the possible risks connected to it so that a corrective action could be taken at the right time without breaking the ‘continuous delivery’ chain.

b. Cuts down the feedback cycle:

The key benefit of continuous testing is that it evaluates the code layer by layer at each stage of delivery pipeline, allowing testers to understand the source of the problem. The actionable insights helps the QA team to act on time and avoid longer queues

c. Broader Test Coverage:

A broad range of tests can be applied throughout the testing process with the help of continuous testing tools for DevOps such as Selenium, etc. It covers both functional and non-functional testing types to increase test coverage by emulating testing like cross-browser testing, API testing, regression testing, integrated testing, unit testing and non-functional testing like security, reliability, scalability, usability and many more.

d. Delivering High Quality Product:

‘Test-early-test-often’ is the key mantra of continuous testing which is self explicable. In order to ensure delivery of high-quality product to the end user, there needs to be a process to continuously monitor the progress along the entire delivery pipeline. Achieving high product quality is the result of continuous testing that strives to finding and addressing risks effectively and by gaining feedback at the early phases of software development lifecycle.

e. Faster Software Delivery:

The whole point of introducing Continuous Testing in DevOps is to speed up the product delivery cycle. Following a multi-point testing at different stages allows the QA team to detect the glitches early and take quick corrective actions so that the final delivery is not impacted.

f. Easy Integration with the DevOps Process:

Continuous testing seamlessly integrated with the DevOps process right from the early stages of the development process rather than functioning just before the release. Continuous integration into the software pipeline enables quick fixes so that the development process can be aligned with the business requirements on time.

Tools for continuous testing in DevOps


For a seamless experience in the entire CI CD process, Continuous testing has to be supported by the best tools for continuous testing in DevOps. For performing smooth Continuous Testing, the Automation Framework has to be integrated with the CI tool, version control and various automated continuous testing DevOps tools to execute different types of testing at various stages of the process. For example, :

  • Using Selenium for performing functional testing
  • Load runner for performing load testing at its best,
  • Secure code analysis using Fortify and static code analysis using Sonar, etc.


Apart from these there are many other trusted DevOps Continuous testing tools available in the market for an efficient continuous testing, like JIRA, Jenkins, Bamboo, Docker, Appium, SoapUI, PagerDuty, CodeCluster etc. The concern is that not all the tools support comprehensive automation solution. Some organizations prefer to create self-made automation frameworks depending upon the version control used to enable complete automation of the CD pipeline.

Since Continuous testing is the most critical aspect to be covered by the business in order to achieve quality product release, it has to be backed by the choice of right, suitable tools and frameworks to achieve speedy and quality delivery.

Challenges in DevOps Continuous Testing and how to overcome them


Even after understanding the advantages of adopting continuous testing in the DevOps process, many organizations face the challenges of successful implementation of it. Establishment of an efficient automation framework is a daunting deal as it involves a huge investment, expertise and effort. Moreover, the organizations are not equipped with the scalable infrastructure to run tests continuously. Also, without a strong coordination among the product, development and testing team, this seems even tougher. Although there are challenges in successful adoption of Continuous testing, with a little sensibility one can overcome it. Here are a few of the key points to comply in order to overcome the challenges :

  • By proper team engagement, the cultural and communication barriers can be dealt with enabling the SDLC team to have better coordination, collaboration and understanding of the scenarios.
  • Reducing unnecessary and extensive testing plans, the focus should be on keeping it simple and logical. Instead, the energy could be diverted to more important test objects in order to create much better measurable results.
  • Automation would ease the successful implementation of continuous testing in DevOps. Well, complete automation isn’t achievable but more the process automation, easier it becomes to carry on the continuous testing.
  • Carry out testing at all stages of production and QA environment would continuously providing feedback to developers to improvise on the product quality.
  • Last but not the least, implementing artificial intelligence and other intelligence programs for problem solving and to think beyond automation at every stage of delivery would boost up the SDLC.


By now we all know how significant continuous testing in DevOps for any business. It essentially brings together all the stages of designing, developing and deploying the software. Merely providing a software product does not help but providing best products faster than the competitors would be the key differentiator of your business. If practiced earnestly, it provides consistent insights about the software development to ensure speedy delivery.

Want to test your Mobile App?

Join pCloudy Platform!

priyanka
priyanka

Tech Blogger - She writes about Technology, Mobile Application Development, Internet of Things, E-commerce, Computing and Design with the aim to coalesce new media and technology.

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8 Tips to Optimize Your Continuous Testing Strategy

priyanka
By priyanka
July 13, 2020
6 min Read
Share This Article
8 Tips to Optimize Your Continuous Testing Strategy

In this competitive digital era, there has always been a constant demand for continuous digital improvement. Even if automation is a prominent keyword nowadays, a recent report says that only 30% of the organizations have adopted automation testing. Although the organizations invest a considerable amount of time and money in transforming their development processes, they fail to reap the benefits of the shift in the right direction by choosing only a few aspects of testing.

Change is inevitable in the software development lifecycle and in order to go hand in hand with the ever-changing dynamics and produce high-quality software, it is important to rely on implementing an effective Continuous testing Strategy. The development teams have to be focused on optimizing the delivery cycles and provide uninterrupted business experience.

What is continuous testing?


Continuous testing is a type of testing in which involves evaluating the quality of software often at multiple stages of the continuous delivery process for early detection of errors ultimately providing quality software and business continuity. It involves testing in multiple developments and QA phases to achieve continuous quality and improvement. Continuous testing plays a key role in DevOps using automation tools that help developers in getting quick feedback on the defects and make changes accordingly.

Continuous Testing Strategy

Challenges to an effective continuous testing


Organizations want to frequent deployments but the majority are unable to even reduce their software development cycles because of a lack of effective continuous testing delivery strategy. The success comes when there happens to be a mix of both manual and automated testing consistently throughout the delivery process. It becomes really important to automate every step to move fast in aspects like test design, test orchestration, execution, etc.

Test automation strategy is the backbone of the final product that a business delivers. It should be strong and flexible enough to bear the impact of any change and every variable of the testing process. Let’s discuss how optimizing continuous delivery testing strategy helps improving the testing process and to increase the software quality:

1. Thorough Test Automation Plan


Research says that the majority of the organizations mostly focus on specific forms of testing. For example, few businesses focus on API integration testing and UI testing and a few focus on both individually. But what they lack is a detail oriented automated continuous integration testing strategy that involves all of the above types of testing. Choosing a specific type of testing is right in some business scenarios but a business should always be equipped with a plan that can accommodate any type of testing which can be used whenever the need arises. The real comparison of continuous testing vs test automation will always persist considering the scale and requirements of the business.

2. Initial Trial and Testing


Introducing unreliable and lengthy test cases in the process leads to a huge wastage of time and effort putting the QA teams to get indulged in an ineffectual analysis of each code commit. Instead, the QA teams can do a bit of testing by adding nominal test suites in order to avoid big risks and check its impact along the way. Gradually adding stable test cases. It is important to have more stable test cases than counting how many were executed especially in DevOps.

3. Choosing the best test automation tool


Building a comprehensive continuous testing strategy is a mandate but choosing the right test automation tool is of critical importance for achieving complete stability. It is insignificant to even think of a failure caused merely because the test automation tool couldn’t perform on the assigned UI control on the application being tested. The acceptable reason for a failed test could be either bug or design change but not because of an automation tool. A good automation tool would always add value to the organization by activating continuous release and deployment, by reducing time and maintenance costs, by increasing the reusability of the code and by providing a higher return on investment.

4. Modularizing tests


In order to handle complex integrated applications, introducing modular testing is the best way to breakdown application functionality. Breaking down the app functionality into modules provides a road map and makes it easier to rearrange the functionality into testing representing different workflows. Amorphous tests can be easily redressed by introducing modular testing and decoupling test data, test flow and element locator mappings.

5. Automated Screenshots


When analyzing the test results to find out the causes of test failure, screenshots of the test execution is the best reference in order to dig deeper into the cause of the problem. A reliable automation tool automatically generates screenshots of all important interactions happening during the test run. Screenshot recording is not supported by all the automation tools; In that case, one should reconsider selecting another test automation solution to reap the maximum benefit of this feature.

6. Measuring Test Automation ROI


Major trends like Continuous testing, automation and DevOps and demand for faster continuous delivery have raised the standards for quality software so high that everyone is trying hard to stay competitive by optimizing their continuous testing and development strategy, that too while maintaining low costs. In this situation, balancing the test execution costs cannot be ignored. At some point in time, test coverage needs to be scaled up, teams have to opt for cloud usage which is expensive and acts as a major cost burden. The best idea would be to separate high and low level test requirements i.e performing more advanced integration and compatibility tests on cloud and executing the low level tests on-premise to maintain cost balance and getting the best automation ROI.

7. Track and Monitor


When the development and operations teams work together, they face many operational challenges. Developers are focused on pushing a new update and testers- on maintaining the reliability of the service delivery. Connecting these two points is challenging and these challenges are overcome by introducing continuous testing and DevOps. In the long run, a business should always invest in a system monitoring tool that will help to detect the causes of the gap and back outs more efficiently.

8. Outsource


Outsourcing the QA process extends an additional support system, giving an extra edge in delivering quality service. The veto in the world of continuous testing is that it gives and extra nudge by providing an exposure to the more specialized areas of testing like impact analysis, performance and security testing etc. It acts as a source of energy given to a focused area of the development life cycle. As a result, it becomes a win-win situation for both developers and testers.

Continuous Testing and Delivery is not a luxury but a necessity in today’s era. A well designed continuous testing strategy is the foundation of continuous testing and quality service delivery. Although the journey is full of challenges if planned meticulously, the businesses would be able to streamline and reap the maximum benefits of test automation and continuous testing.

Want to test your Mobile App?

Join pCloudy Platform!

priyanka
priyanka

Tech Blogger - She writes about Technology, Mobile Application Development, Internet of Things, E-commerce, Computing and Design with the aim to coalesce new media and technology.

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Test Local And Internal Servers Before Deployment Using Wildnet

Suyash Dubey
By Suyash Dubey
April 28, 2020
4 min Read
Share This Article
Test Local And Internal Servers Before Deployment Using Wildnet

Some testing teams set up their own staging environment to test internal servers but as there is no public access which makes it difficult to perform local testing on remote devices. So how would you test your app which can be accessed through your internal network? We launched a feature called Wildnet, that enables you to test private or internal servers using pCloudy. You can test your privately hosted apps on any Android or iOS devices and implement continuous testing to ensure reduced release cycle.

Some times testers want to test their internal servers to protecting unsecured data and credentials, hide new features, and general security. But if an app hasn’t been made public, it should not delay testing across environments. When the Wildnet feature is enabled, a secure connection is created between your machine and pCloudy remote devices so you can perform testing even if the devices are connected remotely.

Let’s see how you can test local or private servers using Wildnet.

Prerequisite:

User should be registered on pCloudy platform
Executables can be downloaded from below links

Linux :
https://content.pcloudy.com/executables/utilities/WildNet_Executables/pCloudyWildNetLinux_v1

Windows :
https://content.pcloudy.com/executables/utilities/WildNet_Executables/pCloudyWildNetWindows_v1.exe

OSX :
https://content.pcloudy.com/executables/utilities/WildNet_Executables/pCloudyWildNetMac_v1

Manual Process to enable Wildnet

1. Run the below mentioned executable command on the terminal:

For Windows:
.\pCloudyWildNetWindows -i Emailadress –k accesskey -u URL

For Mac:
./pCloudyWildNetOSX -i Emailadress –k accesskey -u URL

For Linux
./pCloudyWildNetLinux -i Emailadress –k accesskey -u URL

Example:
./Win-Wildnet -i sample@test.com -k pass123 -u https://app.pcloudy.com

Note: Please use below mentioned URL for-

Public cloud(India): https://device.pcloudy.com

Public cloud(US) : https://us.pcloudy.com

Private cloud: https://private-cloud.pcloudy.com

Wildnet Example

Note:

  • This feature will work on all platforms.
  • Once “Wildnet” is enabled, the user can connect more than one device.
  • User will get authenticated as shown in the below screenshot

    Test Local Wildnet enabled

    This is how users can initiate Wildnet.
    2. Go to the Device page in pCloudy platform, connect the device and click on Enable Wildnet as shown in the screenshot:

    Device page

    Open any local URL that you wish to test and enjoy local testing on pCloudy platform.

    Local testing

    3. To disable the service simply run ctrl+c to exit

    Wildnet disable

    Activating Wildnet for Appium Automation

    1. Run the below mentioned executable command on the terminal:
    For Windows:
    .\pCloudyWildNetWindows -i Emailadress –k accesskey -u URL

    For Mac:
    ./pCloudyWildNetOSX -i Emailadress –k accesskey -u URL

    For Linux
    ./pCloudyWildNetLinux -i Emailadress –k accesskey -u URL

    Example:
    ./Win-Wildnet -i sample@test.com -k pass123 -u https://app.pcloudy.com

    Note: Please use below mentioned URL for

    Public cloud(India): https://device.pcloudy.com

    Public cloud(US): https://us.pcloudy.com

    Private cloud: https://private-cloud.pcloudy.com

    Wildnet Example

    Note:

  • This feature will work on all platforms.
  • Once “Wildnet” is enabled ,you can connect more than one device.
  • User will get authenticated as shown in the below screenshot

    Test Local Wildnet enabled

    2. Once the user is successfully authenticated, they need to add the capability mentioned below, in the Appium automation script.

    capabilities.setCapability( “pCloudy_WildNet”, true);

    3. Once the capability is added, users can perform local testing on pCloudy devices and verify the execution in live view page.

    The most important advantage of Wildnet is that you can be confident about the application as you can rectify all the defects prior to delivery. Try it yourself. Use Wildnet to find more bugs and defects in your internal server before deploying it to production.

    Suyash Dubey
    Suyash Dubey

    Suyash is a content strategist at pCloudy. He is a frequent contributor to the world's leading mobile technology blogs and tech forums. In his spare time, you will find him reading detective novels, watching a documentary or exploring a new destination.

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    5 Ways To Create Better App Experience For Your Users With Remote Testing

    Suyash Dubey
    By Suyash Dubey
    April 2, 2020
    4 min Read
    Share This Article
    5 Ways To Create Better App Experience For Your Users With Remote Testing

    As the world battles with turbulent, uncertain times, most of the workforce across the globe is working remotely. Organizations have acknowledged the importance of remote working as it helps in maintaining business continuity. But in some scenarios, it is difficult to maintain business continuity or distribute resources within the teams while the team is working remotely.

    For instance, if you have some physical device infrastructure to test your app on multiple mobile devices, how would you do it? How would you share the devices with other testers and developers in your team working from different locations? Most importantly, how will you make sure that the app works smoothly on all the popular devices? We will address these issues in this blog, so buckle up for some interesting insights into the remote testing advantages that can ensure a better app experience for your users.

    1. Abate device fragmentation and ensure better app compatibility with remote testing


    Device fragmentation is any testers Achilles heel as it limits their potential of extensive testing. Testing from a physical device lab at this global lockdown situation is not feasible, and testing on a few devices won’t yield good results. But this issue can be rectified by testing on a device cloud. In pCloudy, users can test on multiple devices based on the popularity of devices in a particular region and its penetration to get the optimum device coverage.

    Both manual and automation testing can be performed with unlimited parallel test runs remotely on hundreds of real devices. This is also convenient for globally distributed teams, as the users won’t have to wait for the devices to be available for testing.

    2. Deliver Better Quality App with Rapid Automation


    Enterprises can ensure better quality apps without missing out on any deliveries by leveraging remote devices for automation testing. pCloudy helps in speeding up automation testing with codeless scripting and test orchestration using integrated tools like Jenkins. Capability configurator is a feature in pCloudy that generates the desired capability based on a set of filters, which saves time and effort while performing test automation. Integration with popular automation and collaboration tools like Appium, Espresso, Jira, etc., makes it convenient for users to perform automated testing on remote devices.

    Mobile device lab

    3. Better collaboration and continuous feedback


    In pCloudy, users can manage teams and distribute credits among themselves. The user management feature allows managers to become the system administrator and create teams to allocate the credits to the members according to the task assigned. This helps in user and task as the hierarchy is maintained to distribute workload systematically.

    Once the tests are complete, detailed test reports are generated automatically, which can be easily shared across the team. The progressive reports also show the tests failed, passed, and those with errors. This helps in focusing only on the tests that failed and doing a root cause analysis to rectify the issues. Continuous access to a range of devices available for remote testing will provide stability to your CI/CD pipeline.

    4. Assured data privacy and security


    Enterprise-grade security gives assurance to our users that their data is safe on the cloud platform. Our data centers comply with internationally recognized security standards like ISO27001, SOC2, and SSAE-16. Keeping your security issues in concern, we have another useful feature called Wildnet. This feature enables you to test your internal sites or apps on your local network, keeping all your data and information secure.

    5. Advanced features to improve manual testing


    Take advantage of next-gen features like Certifaya, an AI-powered autonomous testing bot to save time and effort. FollowMe is another feature that enables the user to run a test on multiple devices in parallel. This will save your resources while reducing the testing time by multifold. Apart from this, there are many features in pCloudy, like taking screenshots, recording the test video, cross-browser testing, etc. that will make manual app testing a piece of cake.

    In a Nutshell


    Remote testing is convenient, and it will help you save big bucks while you deliver a better quality app in less time. Continuous access to numerous devices helps in accelerating automation testing, as the app can be tested on multiple devices in parallel. All these advantages of remote testing make it the optimum choice for enterprises.

    Suyash Dubey
    Suyash Dubey

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    Ensure Continuous Productivity By Leveraging Remote Devices For Mobile App Testing

    Suyash Dubey
    By Suyash Dubey
    March 17, 2020
    3 min Read
    Share This Article
    Ensure Continuous Productivity By Leveraging Remote Devices For Mobile App Testing

    Remote working is going to be a new normal and remote access tools and platforms will play a key role in maintaining productivity. Working from home has many advantages both for enterprises and teams. There are many tools that help teams to collaborate and share all the information conveniently over the net. pCloudy is one such tool that gives you remote access to hundreds of real devices to test your app.

    So let’s look at the 10 ways how pCloudy could help in maintaining business continuity while working remotely.

    1. Remote access to devices: Test your apps from home by accessing remote devices on pCloudy. You don’t have to worry about touching or managing the devices.

    Remote access to devices

    2. Device access to geographically distributed teams: Since testing professionals are working remotely, the problem is sharing the limited number of devices for app testing among the team members. With pCloudy offering a range of devices over cloud, members across different locations can access hundreds of real devices on the cloud for their app testing needs.

    Device access to geographically distributed teams
    3. All in one: Manual and automation testing can be performed remotely on real devices. The platform is well suited for continuous testing and optimizes your DevOps process.

    4. Autonomous testing bot: use our AI power autonomous testing bot to minimize the effort and time spent on testing.

    Autonomous testing bot
    5. Team management: Manage platform access to the team members and share detailed app test reports.

    Team management
    6. Parallel testing: Run automation tests in parallel on multiple devices to increase the testing efficiency.


    7. Latest devices: No need to wait for the delayed shipments of the new devices as all the latest devices are available on pCloudy.

    8. Fully integrated: pCloudy is integrated with most of the popular tools and frameworks used for task management, version control, test automation, etc.

    Fully integrated
    9. Device tunnel: Developers can use features like Device tunnel to access devices in their Dev environments like Android Studio or Xcode

    Device tunnel
    10. Quality support: Achieve quality@speed in mobile app testing while working from home. Our technical support team will be available to help you 24/7.

    11. Device management: Hassle-free app testing for our users and our cloud infra team will take care of the continuous availability and maintenance of the devices.

    It has been speculated that around 30% of the service sector workforce across the globe will be working from home by 2030. You can stay ahead of others in this initiative and adopt flexible work preferences. Contact us if you need more information on how pCloudy could help in enhancing productivity while working from home.

    Suyash Dubey
    Suyash Dubey

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    CI/CD Pipeline: Demystifying The Complexities

    Suyash Dubey
    By Suyash Dubey
    March 2, 2020
    8 min Read
    Share This Article
    CI/CD Pipeline: Demystifying The Complexities

    Industry leaders consider CI/CD to be an essential part of the app development cycle as enterprises are keen to reduce the time to market. Continuous integration and continuous delivery help in improving and enhancing the quality of the product while reducing the cost of the project. This blog will help you understand the of a functioning CI/CD pipeline, its challenges, and its benefits. Before we get into the details, let’s have a look at the basic terminology.

  • Continuous Integration
  • Continuous integration (CI) is a software development practice where developers frequently make changes in the code and add it to the central repository after which automated tests are run. CI is the integration stage of the software release process which depends on automation and constant integration. The main goal is to find the bugs and resolve the issue quickly to improve the software quality and reduce the time to market.

    In continuous integration, developers focus on smaller commits several times a day. Developers pull the code from the repository before pushing it to the build server where the build server runs various tests to verify the code commit.

  • Continuous Delivery
  • Continuous delivery is a software development practice that ensures a faster and stable release of the changes in the code. In this, the changes are automatically built, tested, and prepared for production release. The code changes are deployed to a testing environment or a production environment after the build stage is completed. When continuous delivery is implemented, developers always have a deployment-ready build artifact that has passed through a standard test process. In continuous development, the code revisions to a production environment automatically which allows for a continuous feedback loop early in the development cycle.

  • Continuous Deployment
  • Continuous deployment is a bit similar to continuous delivery but is a step further towards process automation. The change that passes through all the production stages is released to the client directly without the need for any human intervention. Continuous deployment accelerates the feedback loop as only a failed test will stop the change from getting deployed to production.
    Continuous Deployment

  • Continuous Testing
  • It is the practice of executing automated tests throughout the software development life cycle. Instead of the old testing method where testing occurs at the end of the software development cycle, CT occurs at multiple stages, including development, integration, pre-release, and in production. It is done to ensures that bugs are caught and fixed at the earlier stages in the development process, saving a significant amount of time and money.

    continuous testing

    While building an application that will be deployed on the live servers there will be a team of developers responsible to write the code. The developers commit the code into a version control system like Git, from where it goes to the build phase. The built is then sent to the next phase with a proper version tag.

    For instance, you have a code that needs to be compiled before execution. When the code enters the built phase, all the features of the code are merged from various repositories and compiled using a compiler.

    The next phase is the testing phase where various types of testing are performed. Sanity testing and unit testing are the most crucial part of this process as individual units of the built are tested to check if they meet the requirements.

    The builds are moved to the deployment phase after passing the test and then pushed into a test server. Here developers simulate the product in a production-like environment to examine the features.
    What is a CI/CD Pipeline?

    Before the build features are deployed to production, the automation test phase will perform the final tests to qualify the features. continuous testing is implemented in this phase to ensure there are no bugs remaining.

    In case there is an error at any stage of the CI/CD pipeline, feedback will be sent to the development team so that issues are addressed immediately. Thereafter, code changes will go through the production pipeline once again.

    In the final phase, the code is moved to the production server after code passes all the tests. The constant feedback loop helps make the CI/CD pipeline a closed process where builds are continuously committed, tested, and deployed to production.

    Challenges in CI/CD Pipeline

    Limited environments

    During the CI/CD pipeline implementation, a limited number of shared test environments increases the risks of a bottleneck. You would need to reserve an environment to avoid multiple CI/CD pipelines running side by side from attempting to deploy and test in the same environment. One of the leading causes of deployment failures is misconfigured environments modified by previous teams or test runs.

    Security and Ownership

    Sometimes it’s difficult to know who needs to fix the pipeline when the stages fail as delivery pipelines span multiple teams in an organization. An owner has to be assigned at every stage of the CI/CD pipeline who will be responsible to fix the issues and ensuring that the delivery runs smoothly. The owner will also contribute to the feedback-driven improvement of the pipeline.

    The orchestration tool used by the team should have an effective security model that could provide better visibility into the state of the entire CI/CD pipeline. For instance, to identify the causes of test failure, the team would have to examine the result of the test phase. But they should not be given permission to modify or disable the configuration of that test step.

    Managing multiple custom CI/CD pipelines

    There will be multiple CI/CD pipelines in large organizations as they have diverse portfolios spanning different departments, technology platforms, and customers. It would be difficult to analyze metrics like throughput, successful execution, and cycle time if every pipeline ends at different stages in the delivery process. It’s easier to manage a large set of CI/CD pipelines if each one is based on a standard template. This will help in meaningful comparative reporting and it will provide useful feedback to improve other pipelines.

    Massive applications

    Large apps with several components that need to be compiled, tested and deployed are tough to update incrementally which leads to long testing and deployment cycles. It’s harder to perform quality control and root cause analysis as multiple teams commit several changes at the same time. It’s difficult to create a standardized delivery pipeline as the release process needs to differ slightly. Teams often initiate a workstream to incrementally break out components of the app into different modules so that they can be built and deployed separately, allowing for faster feedback cycles with smaller sets of code change.

    Why CI/CD matters

    CI/CD provides several benefits for your software development team including improving developer productivity, automating the process, improving code quality, and delivering updates to your customers faster. Let’s have a look at some more benefits of implementing a CI/CD pipeline.

    Improve Developer Productivity

    CI/CD practices enhance your team’s productivity by freeing developers from manual tasks, working on complex dependencies, and returning focus to delivering new features. Instead of integrating their code with other parts of the business and spending time on how to deploy this code to a platform, developers can focus on coding logic that delivers the features you need.

    Automated Software Release Process

    Continuous delivery provides a method for your team to check-in code that is automatically built, tested, and prepared for release to production so that your software delivery is efficient, resilient, rapid, and secure.

    Improve Code Quality

    CD can help you discover and address bugs early in the delivery process before they grow into larger problems later. Your team can easily perform additional types of code tests because the entire process has been automated. With the discipline of more testing more frequently, teams can iterate faster with immediate feedback on the impact of changes. This enables teams to drive quality code with a high assurance of stability and security. Developers will know through immediate feedback whether the new code works and whether any breaking changes or bugs were introduced. Mistakes caught early on in the development process are the easiest to fix.

    Deliver Updates Faster

    CD helps your team deliver updates to customers quickly and frequently. When CI/CD is implemented, the velocity of the entire team, including the release of features and bug fixes, is increased. Enterprises can respond faster to market changes, security challenges, customer needs, and cost pressures. For example, if a new security feature is required, your team can implement CI/CD with automated testing to introduce the fix quickly and reliably to production systems with high confidence. What used to take weeks and months can now be done in days or even hours.

    In a Nutshell

    Continuous integration and continuous delivery is an ideal solution for an organization’s app development teams. Developers just need to push the code to a repository. The code will be integrated, tested, deployed, tested again, merged with infrastructure, go through security and quality reviews, and be ready to deploy with extremely high confidence. A CI/CD pipeline helps improve code quality and software updates are delivered quickly.

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    Suyash Dubey
    Suyash Dubey

    Suyash is a content strategist at pCloudy. He is a frequent contributor to the world's leading mobile technology blogs and tech forums. In his spare time, you will find him reading detective novels, watching a documentary or exploring a new destination.

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