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 teams 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.

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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