DevOps Next Virtual Conference

DevOps Next was a half-day event featuring sessions on AI & ML in continuous testing, code quality, and DevOps productivity.

Watch Now On Demand!

DevOps Next was a virtual event by and for DevOps industry experts — examining the challenges of DevOps today, and how evolving smart technologies can improve tomorrow’s testing, coding, and DevOps productivity.

Although DevOps Next is now over, you can still watch all the sessions on your schedule.

The content is free to you — just complete the form!

Tracks & Sessions

  • TRACK
    Testing Tools

  • An introduction to AI/ML in software testing tools.

  • The New Categories of Software Defects in the Era of AI and ML
  • Classification of Advanced AI and ML Testing Tools
  • Advancing the State of The Art in AI and Testing

The New Categories of Software Defects in the Era of AI and ML

Tzvika Shahaf

When AI and ML are tested alongside traditional features of an app, the defects are of a different nature. AI/ML creates a new set of defect classification that will invade the DevOps space, and this session addresses these new and modern types of defects, including data-related, stochastic, and interpretability defects.

Classification of Advanced AI and ML Testing Tools

Eran Kinsbruner

AI and ML solutions, whether commercial or open source, typically address unique use case or challenges. Learn about the categorization of testing tools with advanced AI/ML and get examples and existing tools for each of the use cases.

Advancing the State of The Art in AI and Testing

Tariq King

In this session, we’ll explore some of the latest advancements in AI for software testing. Our goal is to bring you to the bleeding edge of where AI and ML technologies are being applied to difficult software testing problems in the real world today. AI is no longer just doing functional testing, it’s testing user interface designs, video stream quality, gameplay, and more.

  • TRACK
    Continuous Testing

  • Practices and use cases in continuous testing leveraging AI and ML.

  • Leveraging AI and ML in Test Management Systems
  • The Rise and Benefits of Robotic Process Automation(RPA)
  • Cognitive Engineering – Shifting Right with Gated.AI Testing

Leveraging AI and ML in Test Management Systems

Nico Krüger

AI and ML can be utilized to improve test management and quality, and the impact of changes from design into production. Learn about the various stages of software development life cycle from planning and design, through coding and testing, and shows how AI and ML can benefit these stages from within a test management system.

The Rise and Benefits of Robotic Process Automation(RPA)

Thomas Haver

Many companies are implementing RPA to automate high-frequency transactional processes that are better handled by bots. There is great opportunity in leveraging RPA to embed bots into handling regulatory requests, and much to be considered from a measurement perspective before adopting RPA on an enterprise scale, which will be covered in this session.

Cognitive Engineering – Shifting Right with Gated.AI Testing

Jonathon Wright

The approaches and techniques that worked yesterday may not be optimum for the next generation of enterprise AI platforms. This session will cover how to prove Artificial Intelligence (AI) platforms by leveraging Cognitive, Reliability, and Chaos Engineering heuristics.

  • TRACK
    DevOps & Code

  • Maturing code quality and DevOps teams productivity using AI and ML.

  • Automated Code Reviews with AI and ML
  • Moving to Modern DevOps with Fuzzing and ML
  • How Does AIOps Benefit DevOps Pipeline and Software Quality?

Automated Code Reviews with AI and ML

Brent Schiestl

One of the biggest problems with code reviews is that they often derail developer productivity. Learn about the essentials of code reviews, where they are today, and where they can be using AI/ML technologies. With machine learning technology, code quality can be improved, and developers can focus on invention, rather than remediation.

Moving to Modern DevOps with Fuzzing and ML

Justin Reock

Software fuzzing has long been a trusted method for finding vulnerabilities that are difficult to discover using traditional methods. The application of AI and ML to this field has already begun to bear very promising results. Learn the various methods of fuzzing through examples, documentation, and other related data that can guide practitioners on where to start and which tools are ready to be applied today.

How Does AIOps Benefit DevOps Pipeline and Software Quality?

Eran Kinsbruner

The market has made great advancements in addressing inefficiencies in automated production and operation environment management. When armed with advanced abilities that make an AIOps portfolio valuable, IT managers can impact the entire software delivery cycle. Attend this session for a current and futuristic overview of AIOPs, its benefits, and where it’s heading in the future.

The Lineup

 

 
 

Eran
Kinsbruner

Chief Evangelist, Perfecto

 

Tariq
King

Chief Scientist, test.ai

 

Jonathon
Wright

Co-Founder, CTO, Digital-Assured

 

Thomas
Haver

Automation Architect, International Speaker, Writer

 

Tzvika
Shahaf

VP, Product Management, Perfecto

 

Justin
Reock

Chief Architect, OpenLogic

 

Nico
Krüger

Director of Global Sales Engineering, Perforce

 

Brent
Schiestl

Senior Product Manager, Perforce Software