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AI, ML, and Data Engineering InfoQ Trends Report—August 2022
In this annual report, the InfoQ editors discuss the current state of AI, ML, and data engineering and what emerging trends you as a software engineer, architect, or data scientist should watch. We curate our discussions into a technology adoption curve with supporting commentary to help you understand how things are evolving.
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DevOps and Cloud InfoQ Trends Report – June 2022
This article summarizes how we see the "cloud computing and DevOps" space in 2022, which focuses on fundamental infrastructure and operational patterns, the realization of patterns in technology frameworks, and the design processes and skills that a software architect or engineer must cultivate.
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Adaptability by Agreement: Valuing Outcomes over Imposed Solutions
In the pursuit of agile at scale, the landscape is dominated by process-driven approaches which are broken. This article explores a solution-driven rollout approach, one that puts authentic agreement on outcomes before solutions. The principles on which it is based are also effective as leadership strategies, where frameworks are resources to draw upon as people find fitting solutions.
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Software Architecture and Design InfoQ Trends Report—April 2022
An overview of how the InfoQ editorial team sees the Software Architecture and Design topic evolving in 2022, with a focus on what architects are designing for today.
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InfoQ Culture & Methods Trends Report - March 2022
The culture and methods trends report for 2022 shows that organizations, teams, and individuals face challenges on multiple fronts. Tackling hybrid work, the impact of the great resignation, wellness, diversity, and inclusion are topics that leaders need to address head-on to build creative and collaborative cultures
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InfoQ Mobile and IoT Trends Report 2022
This report summarizes the views of the InfoQ editorial team and of several practitioners from the software industry about emerging trends in a number of areas that we collectively label the mobile and IoT space. This is a rather heterogeneous space comprising devices and gadgets from smartphones to smart watches, from IoT appliances to smart glasses, voice-driven assistants, and so on.
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The Major Software Industry Trends from 2021 and What to Watch in 2022
In this podcast summary Thomas Betts, Wes Reisz, Shane Hastie, Charles Humble, Srini Penchikala, and Daniel Bryant discuss what they have seen in 2021 and speculate a little on what they hope to see in 2022. Topics explored included: hybrid working and the importance of ethics and sustainability within technology.
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Java InfoQ Trends Report—December 2021
This article provides a summary of how the InfoQ Java editorial team and various Java Champions currently see the adoption of technology and emerging trends within the Java and JVM space in 2021.
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How to Decide in Self-Managed Projects - a Lean Approach to Governance
Whether self-managed or self-governed as a project, the power still needs to be distributed internally. If the project is open to decide how things are done, how do we decide? A solid but flexible set of tools and practices like sociocracy is a great starting point for projects to have clear but lean processes that can grow as we grow.
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How Tech Leaders Can Leverage Their Mentoring and Teaching with Coaching
You may have heard about coaching and wondered what it entails and how you might incorporate it into your role. Do you need to have “coach” as part of your job description in order to use coaching skills? This article defines coaching and shows how anybody can use it in their role. It also shows how coaching can be incorporated into management and technical leadership roles as examples.
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AI, ML and Data Engineering InfoQ Trends Report - August 2021
How AI, ML and Data Engineering are evolving in 2021 as seen by the InfoQ editorial team. Topics discussed include deep learning, edge deployment of machine learning algorithms, commercial robot platforms, GPU and CUDA programming, natural language processing and GPT-3, MLOps, and AutoML.
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How to Recognise and Reduce HumanDebt
We know TechDebt is bad; chances are HumanDebt is worse, and once you’ve seen it, you can’t “unsee” or ignore it. What is now needed is a focus on the humans who do the work. Psychological safety in teams is key. The “people work” -both at an individual, but especially at a team level- is the key to sustainability and growth of high-performing tech teams.