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Tag: Continuous Feedback

Crossing the DevOps Performance Chasm With Continuous Feedback

As organizations embark on their DevOps journey, many successfully implement Continuous Integration (CI) and Continuous Delivery (CD) pipelines, the hallmarks of the First Way of DevOps. This initial phase emphasizes achieving a fast, smooth flow of work from development to production, allowing teams to deliver software at high velocity. However, a significant number of organizations encounter a formidable obstacle once they reach the Second Way of DevOps — Continuous Feedback. The ability to integrate feedback loops that enable quick detection and correction of issues is critical to achieving DevOps mastery, but crossing this chasm proves to be an immense challenge for many.

According to the State of DevOps Reports, nearly half of all organizations are “stuck in the middle” of the DevOps performance spectrum, implementing CI/CD practices but struggling to progress beyond the initial improvements. These organizations experience diminishing returns from their DevOps efforts due to a lack of effective feedback loops, leaving them unable to optimize quality, security and performance continuously. While they have laid the foundation, they fail to unlock the full potential of DevOps, and as a result, they fall short of becoming high performers.

My new book, “Continuous Testing, Quality, Security, and Feedback“, directly addresses the core challenges organizations face when trying to cross this chasm. It provides a practical transformation roadmap for integrating all aspects of continuous feedback into DevOps, ensuring that teams not only detect issues early but also improve the quality and security of their software at every stage of development. In this blog, we’ll explore the critical aspects of crossing this chasm, helping organizations move from merely automating CI/CD pipelines to mastering the full scope of DevOps by embracing Continuous Feedback.

Challenges to Crossing the Chasm

One of the core challenges of mastering the Second Way of DevOps is the implementation of Continuous Testing. Many organizations struggle to shift from traditional, manual testing to a fully automated, continuous testing environment that integrates seamlessly with CI/CD pipelines. Continuous Testing requires not only robust tools but also a mindset shift — where testing happens early, often, and across all stages of the software development lifecycle. It demands strong collaboration between developers, testers and operations to ensure testing isn’t a bottleneck but a catalyst for rapid iteration. The lack of proper test automation, coverage and feedback loops can leave organizations vulnerable to undetected bugs or security flaws that may only surface in production.

Continuous Quality is another critical aspect that is difficult to achieve without carefully integrating people, processes and technologies. Achieving continuous quality requires real-time monitoring of software performance, reliability and user satisfaction across different environments. To ensure quality at every stage, organizations need to implement practices such as automated code reviews, advanced monitoring and chaos engineering. Without these mechanisms in place, it becomes nearly impossible to maintain the level of quality necessary for rapid software delivery. Moreover, quality assurance processes often operate in silos, making it hard for feedback on quality issues to flow upstream, thereby delaying the response to quality degradation.

Lastly, Continuous Security and Continuous Feedback represent perhaps the most significant challenges in the Second Way of DevOps. Continuous Security involves embedding security checks within every stage of the development and deployment pipeline—this means automating vulnerability scans, compliance checks, and threat detection, which can be resource-intensive and complex to manage. Continuous Feedback, on the other hand, requires the right metrics and tools to capture feedback from both users and systems in real-time. This feedback must be actionable and seamlessly integrated with existing DevOps tools. The challenge lies in harmonizing security and feedback mechanisms with the rapid, automated workflows of the First Way, ensuring that both quality and security improvements are made in lockstep with new deployments.

Transforming to Cross the Chasm

To successfully transform from basic CI/CD pipelines to achieving Continuous Testing, Quality, Security and Feedback, organizations must adopt a strategic transformation approach. The journey begins with goal alignment, where leaders clearly define the desired outcomes of the transformation, such as reducing defect rates, improving time-to-market, or strengthening security. All stakeholders, from developers to security teams, must align their goals to ensure that everyone is working toward a shared vision. This phase also involves discovery and gap assessment, where the current state of CI/CD pipelines, testing practices and security frameworks is evaluated. The assessment identifies weaknesses and areas for improvement, setting the foundation for designing a more comprehensive solution.

Value stream mapping and Value stream engineering are essential tools for this transformation. Value stream mapping enables organizations to visualize the entire workflow, from development to deployment, identifying where bottlenecks or inefficiencies occur. It also reveals where feedback loops are missing or ineffective. Once the value stream is understood, Value stream engineering comes into play to design an optimized process flow that integrates Continuous Testing, Quality, Security and Feedback into existing CI/CD pipelines. This design phase includes selecting the right tools, creating cross-functional teams, and ensuring that these new workflows are automated and measurable. Implementing these solutions requires careful planning and piloting, using techniques like incremental deployment to ensure minimal disruption.

Generative AI can significantly accelerate this transformation by automating key elements of Continuous Testing, Security and Feedback. For instance, AI-driven tools can analyze code for vulnerabilities in real time, flagging issues before they reach production. In testing, AI can generate a broad spectrum of test cases, improving coverage and reducing the likelihood of defects slipping through. For Continuous Feedback, AI can analyze large volumes of telemetry data to surface actionable insights, predicting potential failures or performance issues before they occur. By automating these complex tasks, AI reduces the cognitive load on teams, allowing them to focus on higher-value activities, such as innovation and process improvement.

Finally, measuring success is critical for maintaining momentum in the transformation. Organizations need to establish key performance indicators (KPIs) that track improvements in testing speed, quality metrics, security posture and feedback response times. Regular retrospectives and continuous improvement cycles should be built into the transformation process, ensuring that any gaps or inefficiencies are addressed in real time. Generative AI also plays a role here, offering predictive analytics to help organizations understand where future problems might arise, thereby allowing teams to proactively address issues before they impact the overall value stream.

Conclusion and Call to Action

In conclusion, crossing the chasm to successfully implement the Second Way of DevOps — Continuous Testing, Quality, Security and Feedback — is essential for organizations aiming to become DevOps high performers. By embracing a strategic transformation approach, which includes goal alignment, gap assessment, value stream mapping and engineering, organizations can overcome the common hurdles that prevent them from fully integrating continuous feedback loops. Automation, collaboration and a commitment to continuous improvement are the foundation of this journey.

If your organization is facing these challenges, now is the time to act. My new book, “Continuous Testing, Quality, Security, and Feedback,” provides the tools, strategies and real-world examples needed to guide your team through this critical transformation. By leveraging the insights in this book and implementing the solutions discussed in this blog series, you’ll be well on your way to crossing the chasm and mastering the Second Way of DevOps. Stay tuned for the next blog in this series, where we’ll dive deeper into specific case studies and actionable insights to help you take your DevOps practices to the next level.

October 8, 2024
Self-Healing Service Management and the Future of DevOps
How can DevOps teams take continuous delivery to the next step? Part of the answer lies in self healing, which could optimize performance management and monitoring and underpin the software delivery pipelines of the future.

Self healing means the ability of systems or environments to detect and resolve problems automatically. It eliminates the need for manual human intervention, upon which most systems today still rely to fix issues.

Self healing is better than depending on humans for several reasons:
- Automated solutions are less likely to miss issues by mistake, or to make errors when resolving them.
- Self-healing technology is better positioned to fix problems faster than humans because it can react instantly based on rules or machine learning. It doesn’t have to stop and think about the issue before taking action.
- A self-healing environment can scale without limit. This is a key advantage over manually managed environments, whose scalability is limited in some respects by the availability of human admins.
Self Healing and Continuous Delivery

DevOps teams already take advantage of many other kinds of automated tools to help achieve continuous delivery.

They use continuous integration servers to automate tests. They adopt release automation tools to streamline deployment. They implement orchestrators and scripted infrastructure to provision environments automatically.

Yet, when it comes to performance management and monitoring, the typical organization is a far way off from achieving a fully automated process. Even the best application performance management (APM) tools of today are primarily capable only of detecting problems and displaying information about them. They depend on humans to interpret and react to that information.

That dependency is a major obstacle for achieving fully continuous delivery. You can’t release code quickly if your process for finding and solving problems related to the code is mostly manual.

By making better use of self-healing technology, DevOps teams can speed continuous delivery in the following ways:
- Developers and admins can spend less time on monitoring and more time completing other tasks that can’t be automated.
- Ideally, teams will be freer to switch between development environments and frameworks without having to establish a new monitoring workflow. Self-healing tools will adapt to whichever environment they have to work with.
- Because problems can be found and fixed faster, infrastructure utilization can increase. The need for a buffer between average usage and overload can become smaller because automated healing solutions will be able to fix problems before they lead to failure.
- Teams can establish better continuous feedback loops because, by removing the human element from performance and monitoring, incidents can be reported instantly, consistently and in a way that makes the data easily accessible to everyone on the team.
To be clear, the technology for self healing does not yet fully exist. Developers over the past several years have made great strides in automating configuration, service discovery and environment provisioning, But perhaps it’s time to make them a more prominent focus. They’ll enable the DevOps innovations of the future.

— Chris Tozzi
April 18, 2017
A Ferrari and DevOps: More Similar Than You Might Think

In a world where customers aren’t short of options, all businesses are characterized by the need to achieve customer delight. From a technological standpoint, a large part of that hinges on fast-tracking the release of high-quality software. A release every quarter is being replaced by a release every week and sometimes even sooner. Expectations have skyrocketed while the timelines have shrunk even more. It is now imperative for all the different components to sync together effectively to create a competitive advantage for the business that can be sustained over a period of time.

All the water-cooler talk around DevOps notwithstanding, it’s true identity still varies vastly based on the passionate opinions of participants with varied schools of thoughts. It also bears mentioning that while all of their varied opinions carry a sliver of truth, they also are significantly separated from the heart of the matter.

To better understand the situation, let’s jump into a story: Once upon a time there was a monk who owned a Ferrari and had no interest in selling it. Every morning when the monk left to teach his mindfulness class, there were three blind men who were captivated by the sound of its engine and the smell of burning rubber. And, yet, they couldn’t see the very object that had captured their fancy. So, one fine day they decided to touch the Ferrari and exchange notes.

The first man touched the broad wheels of the Ferrari and exclaimed that it was a large contraption made of soft rubber. The second man ran his hands across the exquisite curves of the car and said it was like an ancient Greek statue, while the third one placed his hand on the Ferrari’s windows and concluded it was a moving glass palace on wheels. Although each was right in his own way, none came even remotely close to capturing the essence of a Ferrari.

By now, you don’t need a monk to tell you that the story of DevOps is very similar. For some, DevOps is all about inculcating the right culture so that different groups can work together seamlessly to achieve a unified goal. For others, it is about establishing the right processes and practices that are in sync with an organization’s business goals. And for those with an axe to grind or proprietary tools to sell, DevOps is all about achieving automated nirvana.

However, the ground reality is that software development teams constantly are facing increased pressure from business leaders to deliver faster than ever before. The business leaders, in turn, are under the hammer of market forces that require them to accelerate or die. The need of the hour is to deliver high-quality software at the rate of knots, while untangling any that might impede the time to market.

Continuous Everything

We at Happiest Minds believe the simple approach to DevOps is one that is “continuous” and at its core has the agile mantra of “people over processes and processes over tools.” The idea of continuously evolving and adapting to changing requirements and demands has been captured in what we call the 7Cs of DevOps:

The main objective is to ensure agile delivery by embracing continuous planning, continuous development, continuous Integration, continuous deployments, continuous testing, continuous monitoring and continuous feedback.

However, the cultural component of DevOps cannot be overemphasized. A large part of the success or failure of any DevOps engagement depends upon how willingly it is embraced within an organization and the kind of executive sponsorship it receives from the powers that be. The three widely recognized cultural models that most organizations come under are pathological, bureaucratic and generative. Needless to say, organizations that are riddled with a pathological or bureaucratic culture are likely to experience the least amount of success with DevOps because such organizations tend to cover up failures and eventually pin them on the most susceptible scapegoats.

The breeding ground that DevOps needs to flourish is a generative culture where information is shared freely and openly, the leadership encourages employees to learn and experiment with new ideas and failure isn’t looked at as the end of the world but rather an opportunity to learn and grow.

Eventually, organizations will have to embrace DevOps as an integral part of their strategy and not just as a liberal, forward-thinking experiment that scores them some brownie points. But it will take some doing, both at the grass roots and in the board rooms. One has to remember that a lot of people are easily attracted to a Ferrari, but perhaps not to the grind that goes into owning one.

The idea of having a successful DevOps program is much the same—it’s not just about engaging the best vendor or choosing the right tools or paying lip service to creating the right culture; ultimately, it requires overcoming organizational inertia, resistance to change and making a long-term commitment to the philosophy that takes a larger view of how DevOps can help businesses stay one step ahead.

About the Author / Arsalaan Kashif

Arsalaan Kashif is associate director of Marketing, Product Engineering Services at Happiest Minds Technologies and has a keen interest in all emerging areas of technology and innovation. Having worked with Unisys, Oracle and HCL Technologies for over a decade, he has experience with taking to market products and services across areas as diverse as application services, cloud computing, DevOps and big data analytics to name a few. Outside of work, Arsalaan enjoys watching noir films and reading John Irving classics. Connect with him on LinkedIn.

November 28, 2016