Oliver Cantor, Sanjeev Jain, and John Scott of Verizon delivered a presentation on this topic at the 2018 DevOps Enterprise Summit in London.
They seemed to have presented the future of DevOps in one line.
“DevOps may help get applications out the door and into production in a fast and furious manner, but that’s not what makes such collaboration successful. Success is seen in the quality of the decisions made, and to achieve this quality, teams should be free to operate as autonomously as possible.”
Said by Mark Schwartz, Enterprise Strategist at Amazon Web Services, Author of ‘A Seat at the Table: IT Leadership in the Age of Agility’ in a keynote address at the DevOps Enterprise Summit.
“Project To Product” is a new outlook established by industry to survive in the era of Agility.
2018 has indeed been a year of agility. Many enterprises have chosen a DevOps approach and experienced a radical change. Shifting your focus from traditional to agile is no longer a trend; especially for enterprises who have already adopted the Digital-Driven Mindset.
Below stats from Statista draws a clear picture of DevOps adoption comparing various stages in the years of 2017 and 2018.
From the above report, we can say that DevOps has evolved to a greater extent than we thought would possible. It no longer remains a buzzword but established as a mentality, approach, and workflow.
What went before is the security in entire software lifecycle was limited only to the last software development phase. Now, security becomes an important aspect and considered at every level of development.
Moreover, after EU GDPR (General Data Protection Regulation) compilation in May 2018, organizations become aware of strict actions against data security violations. Online business owners are required to take direct consent before they use visitors’ personal data.
In order to control and protect data privacy, GDPR has entirely changed the enterprise security scenario not only in Europe but across the organization.
DevSecOps lays emphasis on the security as a shared responsibility. Security measures should be taken into consideration right from the start to the end-to-end process flow.
In 2019, DevSecOps will be capturing attention as a pivotal point towards maintaining security level throughout the app development lifecycle.
However, this is a bit different than the traditional approach as traditional cycle follows step-by-step development stages and usually, security comes at last phase. Opposite to this, in DevSecOps, teams need to think about how they can automate security measures that are less troublesome to the ongoing operations and require less human intervention.
Automating security from start enables organizations to build a stronger and secure environment and lessen the burden of threats and vulnerabilities.
A large number of systems, organizations, and teams have adopted DevOps philosophy in the past days. The spirit of agility and flexibility embraced by organizations to serve faster, better, and with optimum efficiency.
Thanks to the rise of modern technologies like containers which have taken DevOps approach by a storm. Synchronization and automation become key facets of any DevOps culture through the use of containers and microservices.
Containerization, Serverless, and Cloud are redefining the whole structure of software development and software delivery to satisfy high-velocity requirements.
Technology solutions like Microsoft Azure, Google Cloud Platform, AWS, IBM Cloud, Kubernetes, and Docker dominate the DevOps space ensuring tight integration between services. Containers are one of the disruptive concepts that encapsulate dependencies and code together to make applications run faster and smoother regardless of the computing environment.
With that said, we will be observing a notable increase in the usage of such innovative technologies in 2019.
AI and machine learning are the latest buzzwords in the tech industry and almost everywhere.
Organizations are recognizing the value of data science and that is a reason behind a rapid surge in adoption of AI applications. DevOps can certainly take the predictive analysis to the next level, but AI has still a lot of things uncertain. The human vs machine debate is still going on and has limited scopes in terms of philosophy, the capability to match human insights and end-to-end adoption.
If we talk about DevOps in data-centric applications, it would be playing a game changer role. Continuous Integration(CI) and Continuous Delivery(CD) will put the whole team at the phase of strong collaboration that in turn, boost productivity and efficiency.
Instead of trying various test-cases and matching them with expected results manually, testers are encouraged to use automated software testing tools that are equipped with a predefined set of actions.
In the age of DevOps where faster, error-free, and graphically-advanced software will be driving growth, development and testing tools must match requirements for building software with great efficiency and agility.
In order to improve software quality in a short time, DevOps practices will reinforce the use of automated software testing tools.
Continuous Integration consists of 3 phases – Build, Test, and Push.
Moving from this developer-focused approach, now CI will be evolving into DevOps Assembly Line that would cover source control, testing tools, configuration management, communication, security patching, and deployment environments.
In a nutshell, it aims to have end-to-end automation and connection of the activities that are performed by various teams. This enhanced CI approach will reduce operational costs and time to enable CD (continuous delivery).
Yes, DevOps is more than faster software delivery and faster development lifecycle. The year 2019 will see more of DevSecOps where security will become a focal point. DevOps practices will be embraced by more and more organizations to deliver better software solutions to their customers. Have you adopted DevOps environment in your organization? Do you have a plan to do so?
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