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How Remote Work Impacts DevOps & Development?

The COVID-19 pandemic has influenced the global order and remote work is gradually becoming the new normal. The option for work from home has been implemented by many organizations, thereby, posing difficulties in certain industries.

Although the lockdown restrictions have started to ease up, several companies have maintained their policy of work from home on both full- time and part-time basis. For instance, you can easily check out big companies like Amazon and Facebook which have clearly announced that their employees won’t be resuming offices by the end of 2020.

There are even cases where certain enterprises are even discussing permanent guidelines associated with work from home. Twitter is a fine example, as the company’s CEO, Jack Dorsey, released an extraordinary statement addressing his employees to maintain the process of working from home “forever.” This permanent remote-work policy deployed by the Twitter CEO was an eye-opener for many giant firms that surely made them rethink about their employee safety measures during the ongoing COVID-19 scare.

Technology has proven effective in permitting remote work to operate in a smooth and productive manner. Maintenance of a collaborative environment even from home is all thanks to technology but we cannot ignore the impact it has caused to the software testing & QA sector. DevOps and the functions of development teams have been facing new challenges related to working processes and deliveries. This write-up is aimed at elaborating the impact of remote work on DevOps services and development activities.

 

ImpactQA - Remote Working & DevOps

 

Scope of DevOps during Remote Work

Considering the primary challenges posed on DevOps, the related teams have to look for solutions to maintain a mutual work order that streamlines interactions between DevOps service providers and clients.

With virtual engagement gaining prominence during this pandemic, the customers are eventually going to request for more services and features. This will directly provide an opportunity for developers to launch new software at a faster rate. Furthermore, with improvements in the development cycles, there would be increased traction to spot security vulnerabilities as part of the production process.

It is believed that as remote work extends in the coming months, organizations will need to clinch onto DevSecOps tools merged with agile techniques to upkeep the pace of software development.

Also Read: 8 DevOps Trends to be Aware of in 2020

DevOps & Cloud-Native Operations

Over the years, many software testing companies have already understood the potential of DevOps with a view to extracting high-performance benefits. For the ones trying to make a mark with DevOps initiatives, there is the latest trend that has emerged due to the popularity of remote work.

You can call it an upgrade to the DevOps initiatives that companies are now focusing more on cloud-native programs permanently. This is all part of the shifting work culture that even established software development organizations have to remodel their DevOps goals.

For companies that had already become cloud-native a few years back, it is the perfect time for them to start adapting to the new version of cloud-native DevOps. It is vital to specify that the availability of cloud and SaaS operations are marked as a remedy for employees to maintain normal work activities from home. On a broader front, any organization can redefine and redevelop its DevOps & Development strategies with cloud-native facilitating business activities.

Impact on Firmware

Talking about new influences in the DevOps arena, there has been a serious change in firmware as well. There have been specified challenges with firmware during this ongoing pandemic since both hardware and software are involved. With remote work policy, the act of processing DevOps along with continuous integration (CI)/continuous delivery (CD) for a particular firmware developer has majorly transformed.

 

ImpactQA - Remote Work & Software Development Operations

 

Typically, the firmware is all about associating an integration environment onto hardware components. This operation is carried out in the presence of the whole team where the devices are passed on and the developer can incorporate the firmware onto the device. However, in these challenging circumstances, the firmware developer now takes the device home.

DevOps processes have been hampered during remote work. For instance, the act of automating the whole process of fixing the firmware onto a hardware device requires an upgraded approach. QA experts and beta testers are now required to carry out operations with updated firmware which is already equipped with the latest features and bug fixes.

The extent of COVID-19 scare is still uncertain and hence, software testing organizations need to scale up their DevOps offerings. With due observation, not only DevOps but other software testing segments such as test automation and security testing services have also undergone serious changes in the past few months. The availability of efficient software testing companies like ImpactQA has proven advantageous since they have assisted tech organizations to smartly adapt to new ways.

 

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Role of Software Testing in DevOps

The actual operational definition of DevOps can be presented as an expansion of agile software development. With DevOps, you get to stimulate simultaneous episodes of software development and testing via an uninterrupted partnership among contributors. Looking at the current scenario, the rate of adoption of DevOps has augmented at a global scale. The effectiveness of this development strategy to improve time to market and responsiveness to customer needs has been the chief motivator  

Currently, the merger of QA testing in DevOps has been readily acknowledged by several technology leaders from around the globe. It not only proves beneficial for bettering business goals but also impacts the development cycle.

Dependability on QA & Software Testing for DevOps

The role of testing in DevOps has several responsibilities that need to be addressed for better insight. Here are a few important pointers you should get familiar with:

  • The inclusion of QA & software testing should be utilized for detecting bugs in the initial stages of the development cycle.
  • QA testing must ensure that the various environments needed for testing processes are standardized and automated.
  • With QA & software testing brought into the picture, bigger problems should be highlighted apart from bug fixes. The act of improving the development process with recommended changes are all part of it.

QA & Software Testing Practices in DevOps

In the recent past, experts have skillfully concluded some of the best DevOps QA practices, which are advantageous for modern business models. Below mentioned are few of the vital QA & software testing practices in DevOps:

  • The quality of the software product should be well-defined. The QA testing model is expected to primarily concentrate on achieving supreme user experience.
  • The QA and testing teams must be brought in collaboration with the technical teams. Their approach should surpass manual functional testing to mainly focus on automation strategies.
  • It is necessary to optimize the goals of the involved teams with a vision to strengthen quality assurance.
  • QA & software testing approach should be majorly inclined towards automated regression testing of decisive areas.
  • QA’s role in DevOps should push the teams to get readily involved in the overall requirements process for properly guiding the development teams.
  • The sole purpose of QA & software testing is based on supporting the use of automation tools for initiating automation testing.
  • To actively deploy continuous integration, all stakeholders need to combine their work regularly.

Importance of Continuous Software Testing in DevOps

In order to properly incorporate software testing in DevOps, it is required to structure an automated test process that is capable of offering feedback on a timely basis. For instance, you need to have integration testing present on the build server, along with functional testing with its utmost requirement on the test server. Furthermore, we must also realize the need for deployment testing on the staging server.

Obviously, there are hindrances in the path of a team’s ability for incorporating DevOps. For instance, test automation does take time and it is not practically possible to automate every plausible test. Therefore, you need to structure a well-defined automation strategy. Your automated test development must focus on critical areas such as key functionality. It surely will prove productive to pick out early defects in new code right before automation, since the bugs might pose difficulties during automated test development.

The usefulness of QA to DevOps is seen as a blessing for streamlining the development cycle. With these above-mentioned practices of software testing in DevOps, you can improvise on SDLC to deliver quality products. For gaining enhanced knowledge about this particular methodology, you can reach out to professional testers at ImpactQA. Each of your questions can be quickly resolved by these efficient testers at the earliest.

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IoT Testing Tools and Testing Approach

Internet of Things or IoT did emerge as a futuristic technology that gave industry leaders a prospective viewpoint. At present, you can easily spot the dominance of IoT and its devices ranging from software, computerized machines, actuators, and a lot more. The role of the internet is imperative for operating these devices since it enables data transfer automatically without any human interference.

In simplistic terms, an IoT device is capable of developing a smooth communication with other devices to accommodate greater convenience. According to Gartner, more than 6.4 billion IoT devices were active in 2016; the count is expected to cross 20 billion by 2026-end. Hence, the importance of IoT testing involving devices has enhanced to ensure system performance and security.

These days, popular technology companies along with other effective business moguls have understood the usefulness of IoT testing. To execute this practice, you need to focus on the best IoT testing tools as well as the testing approaches put in place.

Top IoT Testing Tools

While making a selection for the perfect IoT testing tool, it is essential to stress on certain vital parameters. These parameters are company-specific and do vary for small-, medium- and large-sized enterprises. Here are the top five testing tool options for skillfully integrating workflow for your IoT products.     

Blazemeter

This is a well-liked API testing platform created over an open-source JMeter. The popularity of Blazemeter has been long-lived. It makes use of a personalized language to write tests that can later be transformed into JMeter format. The benefit of Blazemeter for conducting IoT testing is managed with the help of the MQTT JMeter plugin.

Gatling

Gatling is marked as a load testing tool for applications and websites. Interestingly, this IoT testing tool offers an enterprise version termed as Gatling Frontline. It is known to support continuous test process management along with advanced dashboards to carry out analytics and reporting. For carrying out IoT testing, Gatling makes use of an MQTT extension.

LoadRunner

It is the oldest and most famous testing tool that is admired within the DevOps communities. LoadRunner is known to support some of the most comprehensive sets of protocols to test all kinds of software applications. This testing tool actively supports both CoAP and MQTT, making it a more resourceful instrument for IoT devices.   

IoTIFY

IoTIFY is a unique testing tool that focuses on IoT simulation together with load testing. Therefore, IoTIFY conveniently offers numerous features including battery modeling, GPS coordinates in real-time, and device-to-device interaction. Interestingly, with IoTIFY the overall test setup is effectively run on the cloud.

Locust

This python-based tool is ranked higher among IoT testing tools open source. The primary purpose of Locust is to offer scalability through high-end load testing distributed over diverse machines. Furthermore, the benefit of writing personally scripted protocol plugin with Locust allows efficient IoT testing.

Test Approach for IoT Testing

Below mentioned are the prime IoT testing approaches you can follow to ensure the supreme functioning of various IoT devices.

Connectivity

Connectivity does play a vital role while ensuring IoT testing for the involved devices. Under this, the concerned system needs to be available at all times and should possess flawless connectivity by the collaborators.

To be precise, it is essential to ensure that the transfer of data, as well as task update from the devices, is seamless whenever the connection is active and running.

Security

It should be remembered that IoT is purely data-centric since all the connected devices operate on the available data. Hence, there are possibilities that data can be read or retrieved at the time of transfer.

As a result, it is important to check whether or not the data is protected whenever it is transferred between different devices. Security is one of the crucial IoT testing approaches that are abided by most organizations in today’s time.

Performance

While discussing the performance-based approach for IoT testing, you need to confirm if the system is flexible enough for the whole company. Performance testing check is mainly carried out by simulating devices from diverse locations. Moreover, different network technologies are also incorporated for receiving better results.

The extensiveness of the Internet of Things (IoT) has assisted the birth of several life-changing technological models. The role of IoT testing is basically to ensure the quality and working strength of IoT devices that are part of well-organized systems. To learn better about IoT testing operations, you can talk to knowledgeable professionals at ImpactQA. For each of your queries, these experts will serve you with precise answers and solutions.    

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API Testing & Its Benefits Linked to Development Process

API or Application Programming Interface can be defined as a set of procedures, tools, and protocols required to build software applications. Essentially, an API helps to specify how software components need to interact, which makes it highly important to run a test. The purpose of API testing is mainly to determine whether or not they are meeting the expectations related to performance, reliability, and security.

It won’t be wrong to tag APIs as the focal point of software development that works to connect and transfer data across distinct systems and applications. API testing can greatly enhance the efficiency of your already existing testing strategy and thereby fasten the delivery of software. Although many people confuse API testing with UI testing, it primarily highlights the use of software for sending API calls, drawing outputs and recording system responses.

 

What makes API Testing Essential for Business Processes?

Overall, APIs are known to raise the value of an application. This is why it is believed that to strengthen the establishment of business processes, APIs need to be correctly directed. They permit application content to be integrated efficiently, proving highly advantageous for enterprise operations.

For instance, if an API breaks due to a lack of error detection, the threat not only brings down a single application but might even impact the overall chain of business processes associated with it. Hence, API testing ensures in-depth investigation useful enough to safeguard the application and related business processes.

Another crucial role of API testing is linked to the investigation of applications having varied API functionalities to expose pivotal failures. The global API testing market is estimated to advance at a CAGR of over 19%, in terms of value, until 2024. Such growth can be attributed to the swelling demand for API monitoring concerned to the production industry, set to showcase higher statistics in the next five years.

 

Also Read: Top 6 Challenges of API Testing

 

Different Tests Related to API

  1. Functional Testing:

By entering the correct input parameters under API testing it becomes quite convenient to test the functionalities. A response code can be acquired within a few milliseconds, thereby, making it quick and efficient.

 

2. Security Testing:

It becomes suitable to assess whether the data is coded in HTTP and required any form of authentication. This segment also focuses on penetration testing.

 

3. Discovery Testing:

With the incorporation of API testing, developers are benefited by identifying APIs around which the resources are not unprotected.

 

4. Usability Testing:

APIs can be easily hit on various platforms to test the usability of particular software.


API Testing
& its Contribution to Development Process

To reap superior benefits of API testing, it is essential to include them in TDD or test-driven development process. This way the engineering teams are benefited in several ways which ultimately passes on as quality services impacting the customers.

Below mentioned are the three imperative ways through which your organization can benefit by amalgamating API tests with the development process:

 

Test Reporting

For holding up the quality of the product along with customer trust, it is necessary to assess all the bases concerned with possible software failures. The operation of API testing simultaneously with development can prove beneficial in revealing issues with the API, network, server, and other services. 

While the software rolls into the production phase, you will get an opportunity to create more tests to supply new and modified use cases. These tests in collaboration with the ones created during development work effectively to tackle almost any breakdown scenario. We can rate it as one of the significant benefits of API testing that lessens the count of support tickets to customer support and QA teams.

 

Test Caliber

It doesn’t make sense if you wait for the development process to finish to initiate your API tests. This way you’ll end up building them in a biased way leading to favorable test cases. As soon as the API is built, your focus rests on its performance and how to dodge cases of failure. 

Moreover, similar to iteration for software at the time of development, carrying out iteration on API tests would eventually make them highly comprehensive and stronger. As a result, the product quality will enhance in the long run with reduced chances of break down. 

 

Test Recycle

About the benefits of API testing, incorporating them in the initial stages will prove profitable as a majority of your tests are already managed. For example, Runscope permits you to reprocess the same tests through multiple environments and share tests.

Interestingly, your QA and dev teams create tests and can utilize them in staging environments. Later on, the DevOps teams can make use of the same tests to operate them on a schedule during production to administer those used cases. In short, reusing API tests during the development lifecycle supports collaboration within teams and delivers an accurate and extensive testing composition.

 

You May Enjoy: Top 10 Ways APIs Can Benefit Your E-Commerce Business

 

API Testing Merged with CI/CD & TDD

The act to integrate restful API testing with your development process can be managed in several different ways. For instance, numerous organizations include API tests within their continuous deployment (CD) and continuous integration (CI) processes clutched to trigger URLs or even direct plugin using an open-source automation server like Jenkins.

When an API test leads to failure at the time of CI or CD, the process comes to a halt indicating the API issue needs to be stabilized before the build is finished. The inclusion of API tests within this process offers greater assurance to both product and engineering teams mainly related to the coverage of all the bases before the product is released to the customers.

The benefits of API testing here also permits you to create tests specified to an API during the development process. This is almost similar to the process as to how we create other software in TDD. In simple words, test run new endpoints while they are being created during the development and later activate them to run within the CI/CD pipeline. To know more, you can get in touch with software testing company at ImpactQA, who are skilled enough to impart necessary knowledge associated with API testing.

 

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DevOps and the Future of QA

DevOps has been the talk of the town for some time now. The evolution and execution of the tools and procedures that facilitate its use are still growing. From insane articles like ‘DevOps will Kill QA’ to QA pundits coming out to the rescue of testers saying that ‘QA will be an integral part of DevOps’, the internet is full of information around DevOps and how it affects QA. Here is a quick look at what DevOps is all about and what it means to QA folks. In simple terms, DevOps is a methodology where Software Developers (Dev) collaborate with IT (Ops) that involves automation of software delivery and infrastructure. A decade ago the responsibility of QA was to find the bug and document it and that was it. This was a more casual approach.


Throwing the siloes to the pasture, DevOps seed time to market, and we can only hope that more and more enterprises adopt this in the coming decades. As more companies open their doors to collaboration, DevOps is also transforming testing methods and routines. The short development cycle normally associated with agile is also aiding in this mind shift. Therefore, DevOps and Agile can no longer be ignored as a passing trend.


Emergence of DevOps and Rise in Popularity
DevOps symbolizes a change in IT culture, concentrating on prompt IT service delivery through agile adoption, lean practices of a system-oriented approach. DevOps seeks to improve collaboration between development and operations teams. DevOps implementations make use of technology particularly test automation tools that can leverage more programmable and dynamic infrastructure from a life cycle perspective.

Over the years as CIOs and CTOs have been forced to bring down the ‘Cost of Quality’ and hence the focus of QA has shifted from a ‘casual’ approach to ‘a value driven’ approach. It’s now more about preventing defects than finding defects. The traditional waterfall model gave way to agile and now DevOps that allow frequent build and releases to production. As the digital transformation continues to accelerate into more industries, there is an increase in the adoption of agile and DevOps principles to ensure organizations can achieve the speed, quality, and scale needed to succeed. Security, performance, customer experience, and quality are more important than ever. At ImpactQA we have been seeing a growing demand for security, performance and UI/UX testing from our customers.

While organizations are struggling to find the answer to the question of how to achieve speed with the right level of quality, DevOps seems to have provided a solution. The shift-left approach would allow QA to be directly embedded into the sprint team or the scrum teams right from the inception where they’re involved from the word go and start writing the test cases as soon as a user story is complete. Also, a striking development in the approach to QA is the uptake of continuous monitoring with predictive analysis, along with the increased adoption of more cloud-based test environments. This shift-right approach would allow QA engineers to take product feedback from the end-users.  The Shift-Right approach to testing also empowers the test engineers to test more, test on-time and test late.

DevOps Statistics
For those who doubt, here are some additional DevOps statistics to take you over the top regarding enterprises that employ DevOps:

  • 38% report a top quality of code production
  • 63% experience upgrading in the quality of their software deployments
  • 63% release new software on a frequent basis
  • 55% noticed improved collaboration and assistance


What does this mean to QA Engineers?
 1.    As DevOps brings in more and more automation to the fore, the need for traditional manual QA will decline sharply. However, manual functional QA would not cease to exist.
2.    Not only would the QA need to understand the technology, but they will also need to understand the business and the end-customer. The end customer is a lot close to the business than ever before, with profound implications for the Quality Assurance and Testing functions.
3.    QA will have to change their mindset and start helping people instead of providing a transactional service to them. E.g. I would expect an automation QA to reach out to a developer (proactively) and say ‘Hey, for each UI element, you need to put an identifier and not have us rely, for example, on the X-Path will change. That will make tests more robust’.
4.    Automation is still evolving and there is a growing trend to higher levels of intelligent automation, largely driven by data-rich digital applications. QA engineers will have to be much closer to technology than they were a decade ago. In summary, DevOps testing has opened up an exciting and intriguing world of self-aware, self-remediating, analytics-driven automation and a paradigm shift in the QA mindset.


What Can We Expect for the Future of DevOps?
DevOps has come a long way. Initially, waterfall methodology was the way of the world. Then tester teams learned to shift left and test soon. They turn out to Agile. However, when DevOps accelerated, it scaled to fit the needs of bigger and bigger software testing teams. And now DevOps is growing and becoming smarter, thanks to new-edge technologies like artificial intelligence and machine learning. Teams today chase continuous testing for rapid releases and accelerated DevOps. The future of DevOps holds how DevOps will look entirely different in the coming years.


Change is exciting and the future of DevOps is bright. There is no shortage of it on the horizon for web and mobile app testing!!

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Digital Transformation with Continuous Testing

With Enterprises increasingly leaning towards agile methodologies and DevOps integration, a smart testing strategy has become critical. The businesses are transforming digitally, they need a robust and full-proof test strategy that will ensure optimal efficiency and decrease software failures. Companies no longer have the luxury of time that they used to have with traditional SDLC. In such scenarios, Continuous Testing emerges as the only answer.

Continuous Testing mainly refers to unobstructed testing at each phase of a software development life cycle. The comprehensive study from Forrester and DORA (DevOps Research and Assessment) shows that continuous testing is significant for the success of DevOps and other digital transformation proposals and initiatives. However, adoption levels of Continuous testing adoption are low, even though test teams had already started practicing DevOps. Those selective enterprises have already attained remarkable results in terms of accelerating innovation while reducing business risks and improving cost efficiency.

 

Why Continuous Testing Strategy?

DevOps is mainly considered as a philosophy and process that guides software testers, developers, and IT operations to produce more software releases at higher speeds and with better outcomes. On the other side, continuous delivery is the methodology that invokes DevOps principles.

 

Continuous Delivery is about automating tasks to reduce manual efforts in the process of constantly integrating software. This paces up to push the tested software into production. Expert QA team can make improvements along the way derived from continuous automated feedback about what truly works, and what is required to be done better.

 

The shift to experimentation is an essential part of making an agile landscape for digital transformation. The IT Companies can easily launch the perfectly working software, by adding additional functionality to existing systems and then work on improving and correcting the highly prioritized list of glitches. Even dealing with the critical issues in the shortest possible time with the tight feedback loops.


Continuous Delivery model also gives IT companies the agility and production readiness it requires to promptly respond to market changes. It makes your end products more stable, your teams more productive, and accelerate your flexibility to facilitate fast and continuous innovation everywhere. Additionally, you can drive faster growth, help the business expand into new areas, and compete in the digital age with the improved responsiveness that this model reflects.

 

Four Sub-dimensions of Continuous Deployment

Using SAFe for Continuous Delivery:

  • Deploy to production– Covers the skills required to deploy a solution to a production environment
  • Verify the solution – Encompasses the skills required to confirm the changes operate in production as planned before they are released to customers
  • Monitor for problems– Covers the skills to check and report on solutions
  • Respond and recover– Includes the skills to rapidly tackle any issues that happen during deployment

 

Agile and DevOps Digital Transformation- The Three Ways

With the sprawling foothold of Agile and DevOps, backed by continuous testing, companies can follow ‘The Three Ways’ explained in The Phoenix Project to optimize business processes and increase profitability. These ways stand true for both the businesses as well as IT processes.

 

The 3 ways guiding the ‘Agile and DevOps’ digital transformation are:

  • Work should flow in one direction- downstream
  • Create, shorten, and amplify feedback loops
  • Continuous experimentation, to learn from mistakes and attain mastery

These three ways assist in imparting direct client value by integrating the best quality in products while managing efficiency and speed.

 

Also Read: Managing Continuous Integration with Jenkins

 

DevOps is Key to enable Continuous delivery

Continuous delivery perfectly suits companies that are well-equipped with a collaborative DevOps culture. In a continuous paradigm, you can’t afford silos and handoffs between operation and development teams. If an organization does not embrace a DevOps-based culture, they will face complexity in building IT and development environments that are needed to compete in the digital era.


It is a concern when professionals need to focus on relentless improvement in technology. In different cases, it calls for an important shift in mindset. For example, to achieve the continuous delivery objective is to speed up releases and improve software quality, and for that we need to make a smooth shift-left of a series of activities like security and continuous testing. This necessitates cross-functional and proactive communication at each level of the organizations to bridge the gap that has traditionally existed among the businesses.


Instituting such culture will also encourage autonomous teams. Development and operations teams need to get empowered to make their own decisions, without having to undergo complicated decision-making processes.

 

Industry Insights

Digital transformation, Agile, and DevOps will continuously thrive, and become the norm. It is time that companies should start taking it seriously to transform digitally. Irrespective of the tools and methodologies used, digital transformation efforts will fail without a continuous testing strategy.

Digital transformation, Agile, and DevOps are together building a future where innovation is at the heart of all the processes. But this picture needs continuous testing to become truly complete. Integrating Continuous Testing with the existing system will enable organizations to proactively respond to glitches, and instigate stability in their products.


ImpactQA experts with years of experience in Continuous Integration can configure and execute the most popular tools like Jenkins, Bamboo, Microsoft TFS and more.

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8 DevOps Trends to be Aware of in 2020

  • Automation will become the major focus
  • Shifting attention from CI Pipelines to DevOps Assembly Lines
  • Rise in Artificial Intelligence (AI), Data Science Boost
  • Concept of “everything as code”
  • Hype in using Server Less Architecture
  • Automation through AI and Data Science
  • More Embedded Security
  • Kubernetes has evolved significantly

According to a collective study, DevOps market generated 2.9 billion in 2017 and the market is expected to reach at $6.6 billion by 2022. DevOps has become a key focus and has shaped the world of software and many experts predict that DevOps is going to be the mainstream and is going to reach its peak at 2020.

Enterprises are not only showing interest in DevOps but are gradually adopting DevOps-related practices and technologies. As per Hackernoon article citing Statista, there was a 7% boost in DevOps adoption from 2017 to 2018. DevOps software market is projected to grow from $2.9 billion in 2017 to $6.6 billion in 2022 (source: estimates from IDC).

DevOps Projected Growth 2019

Fig: Google trend is shown for “DevOps” and a hypothesis of its estimated growth in 2019.
DevOps offers the following benefits:

  • Fast response towards an amendment
  • Offers great speed and makes the security arrangement more agile
  • Establishes a perfect channel of collaboration and communication
  • Fast identification of bugs or vulnerabilities in the code
  • Team can effortlessly put their sole attention on other critical things instead of focusing on security features

Many enterprises are adopting DevOps and there is a boost up to 17% in the year 2018 than what was about 10% in the year 2017 (according to Statista)

Image source: Statista

Predictions of 8 DevOps Trends to be aware of in 2020:

1. Automation will become the major focus

Companies that have already implemented DevOps have seen high efficiency and faster deployments. When it comes to DevOps, DevOps automation is what we talk more about. Zero-touch automation is going to be the upcoming future. Understanding the 6 C’s of the DevOps cycle and to apply automation between these phases is the key, and this is going to be the major objective in 2020.

2. Shifting attention from CI Pipelines to DevOps Assembly Lines

The final goal of DevOps is to improve collaboration between planning and automation of the delivery procedure. It is not just about doing Continuous Integration (CI) but it is all about CD (continuous delivery). Companies are investing extra effort and time into understand about automating their whole software development process. In 2020, the attention is going to shift from Continuous Integration (CI) pipeline to DevOps assembly lines.

Advantages of Assembly Lines:

  • Powerful nested visibility
  • Native integrations
  • Fast on board and scale with “as-code” philosophy
  • Perfect CD (continuous delivery) with interoperability
  • Team-based business intelligence and analytics

3. Rise in Artificial Intelligence (AI), Data Science Boost

Growing number of Artificial Intelligence-driven apps will push data science teams to look for DevOps philosophy in their workflows. DevOps method is expected to be their prominent option in dealing with automated pipelines, maintaining, and testing multiple deployed models in the production chain.

This is going to boost further as data science & development teams move closer for high efficiency in development, deployment & managing AI & ML-driven apps.

4. Concept of “everything as code”

We cannot deny the fact that coding has now become the backbone of the IT sector. Understanding various DevOps tools and automating scripts plays a crucial role in the software development and this is going to dominate in 2020. The future of this industry depends on the technical capabilities of the developers, testers, and people of the operation.

Since, DevOps is all about easing the delivery cycle, there is a need to bring in the code which can be used to increase the software production cycles efficiency. The thought of “everything as code,” is DevOps’s built-in practice and it can be present in the SDLC to create a wave in the DevOps trend 2020. Software Testers are likely to suffer if they do not learn to code and write their test scripts.

5. Hype in using Server Less Architecture

DevOps can be reached to the zenith level with server-less architecture. This is not free of server; however, there is a cloud service which takes care of the complete architecture. This extraordinary architecture allows the software developers to concentrate focus on the “Application Part”. BaaS and FaaS are the two critical aspects of the server less architecture. By employing server-less architecture, you can save time, cut down the costs, and ensure resilient work flow.

6. Automation through AI and Data Science

The main objective of 2020 is zero-touch automation. The continuous increase of Artificial Intelligence and Data Science has become a game-changer. Various apps are fueled with AI, which is pushing DevOps teams to seek automation possibilities to discover prospects within their workflow streams.

7. More Embedded Security

With the exponential growth of security breaches and the bad impacts to the company’s reputation, cyber-security has become business imperative. In 2020, DevOps will rapidly include security.

Recently we have seen a buzz trend of DevSecOps. DevSecOps is all about injecting security first in the app development life cycle, therefore decreasing vulnerabilities and improving business reputation.

The shift to DevSecOps will also bring great collaboration in software development. It will ensure the development processes remains flawless, efficient, and effective.

8. Kubernetes has evolved significantly

Kubernetes has turn out to be the top growing container technology. Globally, technologists and CIO’s have preferred Kubernetes because of its offerings and it is expected to grow by 2020. This year, we saw the adoption of Kubernetes take off as companies of all sizes embraced containers for running cloud-native apps. In 2020, we will start to see container orchestration software replacing several old DevOps functions.

Solution- How can we help you?

Whether it is all about offering software development services or other services, DevOps has become the inevitable part of any organization. By staying up to date with the newest trends, you set your business up to get the enormous benefits from DevOps.

As an industry leader in DevOps Testing Solution, ImpactQA give holistic agile and DevOps adoption services across diverse domain segments, backed by its dedicated DevOps Continuous Testing practice. We implement a robust plan to manage both resources and testing tools in a new environment and to facilitate continuous testing and delivery.

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Increasing Importance of Quality Engineering in Software Testing

How can a company win? One of the key criteria is to ensure good quality of its products and services. But the traditional testing and QC paradigm is not enough in the context of emerging technologies. It has proven to be inefficient: if some shortcomings are revealed, the product may have to be redesigned, requiring […]

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