Product Teams Need a Family Too! @ Agile Connect Lisbon - December 2019 Meetup

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Autonomous product teams are key for sustainable software delivery. But what does autonomy really mean? Do we expect the team to set up CI/CD, automate infra, test/UX all the things, and, of course, run and monitor their product? And still deliver features? Four fundamental team topologies and three interaction modes can help reduce the cognitive load on product teams. Manuel Pais (https://www.manuelpais.net) is an independent IT consultant and trainer, focused on team interactions, delivery practices, and accelerating flow. Manuel is co-author of the book "Team Topologies: Organizing Business and Technology Teams for Fast Flow" (IT Revolution Press, 2019). He helps organizations rethink their approach to software delivery and operation via strategic assessments, practical workshops, and coaching. Also InfoQ lead editor. Answers by @manupaisable on Twitter and Medium.

TeamTopologies.com
@TeamTopologies
Product Teams
Need a Family Too!
Manuel Pais
@manupaisable

“Great products emerge from
empowered, fully cross-functional
teams.”
– John Cutler, 2019
2

devopstopologies.com

devopstopologies.com

6
https://cloud.google.com/blog/products/devops-sre/the-2019-accelerate-state-of- devops-elite-
performance-productivity-and-scaling

9
There’s a limit to
the scalability
of product teams alone

16
Handovers (can) kill flow

“Great products emerge from
empowered, fully cross-functional
teams.”
– John Cutler, 2019
22

“Despite striving to be cross-functional,
one of the thornier problems product
teams often face is lacking some
necessary competence.”
– Peter Neumark, 2015
23

arch &
design
coding
testing
deploying

coding
testing
deploying
infra
arch &
design

coding
testing
deploying
infra
CI/CD
arch &
design

coding
testing
deploying
infra
ops
CI/CD
arch &
design

coding
testing
deploying
security
infra
ops
CI/CD
arch &
design

coding
testing
deploying
securit
y
infra
ops
CI/CD
arch &
designbuilding the
product right

coding
testing
deploying
securit
y
infra
ops
UXmonitor
metrics
product
viability
QA
CI/CD
arch &
design

coding
testing
deploying
securit
y
infra
ops
UXmonitor
metrics
product
viability
QA
CI/CD
arch &
designbuilding the
right product

32
autonomy

33
competences

34
How to alleviate the tension between:
team autonomy (increases flow)
and
lack of competences (decreases flow)

A good platform is
treated as a product
(reliable, usable,
fit for purpose)
44

52
When used with care, these are the only
four fundamental team topologies
needed to build and run modern
software systems.

Also important
55
Team-sized software
Avoid Conway mismatches
Organizational sensing
Thinnest Viable Platform (TVP)

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Autonomous product teams are key to sustainable software delivery. But what does autonomy really mean? Do we expect the team to set up CI/CD, automate infra, test/UX all the things, and, of course, run and monitor their product? And still, deliver features? Four fundamental team topologies and three interaction modes can help reduce the cognitive load on product teams. So you’re trying to move from agile project teams to business-aligned product teams. Everyone from the CEO to middle management is on board. Yet somehow it’s not that easy, is it? You’ve just about figured out how to split infrastructure responsibilities between teams when the next great tech for cost-effective scalability is out there and it doesn’t fit in the new model. Oh, and let’s not forget that products X and Y have no automated tests since they were developed by temporary project teams. The underlying questions are: What are the product team’s responsibilities? How do they interact with other teams and when? The fundamental team topologies provide a framework for thinking about and aligning teams with an expected set of behaviors and responsibilities. In other words, we are clarifying their purpose and ways of working. We recommend four fundamental team topologies, each with a well-defined purpose and responsibilities. Along with stream-aligned teams (of which product teams are a subset), the other three topologies recommended are platform, enabling, and complicated subsystem. This family of topologies provides the support system necessary for product teams to thrive. In this discussion, we will see what each of these topologies brings to the table and how they enable organizations to quickly evolve and respond to both new technology and business requirements over time. This talk draws on research and case studies from the book Team Topologies by Matthew Skelton and Manuel Pais (IT Revolution Press, 2019) together with first-hand consulting experience from the authors with organizations around the world. Team Topologies are the evolution of the highly praised DevOps Topologies, focusing on an evolutionary approach for organization design. Manuel Pais is co-author of Team Topologies: organizing business and technology teams for fast flow. Recognized by TechBeacon as a DevOps thought leader, Manuel is an independent IT organizational consultant and trainer, focused on team interactions, delivery practices, and accelerating flow. Manuel is also a LinkedIn instructor on Accelerating Continuous Delivery in the Enterprise.

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Are you trying to move from agile project teams to business-aligned product teams? Everyone from the CEO to middle management is on board. Yet somehow it’s not that easy, is it? You’ve just about figured out how to split infrastructure responsibilities between teams when the next great tech for cost-effective scalability is out there and it doesn’t fit in the new model. Oh, and let’s not forget that products X and Y have no automated tests since they were developed by temporary project teams. The underlying questions are: What are the product team’s responsibilities? How do they interact with other teams and when? The fundamental team topologies provide a framework for thinking about and aligning teams with an expected set of behaviors and responsibilities. In other words, we are clarifying their purpose and ways of working. We recommend four fundamental team topologies, each with a well defined purpose and responsibilities. Along stream-aligned teams (of which product teams are a subset), the other three topologies recommended are platform, enabling, and complicated subsystem. This family of topologies provides the support system necessary for product teams to thrive. In this talk we will see what each of these topologies brings to the table and how they enable organizations to quickly evolve and respond to both new technology and business requirements over time.

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Savvy organizations are discovering the value of treating their internal platforms as products. But what does it mean to treat a "platform as a product"? What benefits does this give, and why would an organization adopt this approach? In this talk, Manuel Pais, co-author of the book Team Topologies, explains why the platform-as-product approach can be a game-changer for organizations building and running software-enabled products and services. Using ideas & patterns from Team Topologies - including Thinnest Viable Platform, team cognitive load, and the evolutionary team interaction modes - Manuel explains how organizations like Uswitch and Adidas have successfully used the platform-as-product model to accelerate and simplify the delivery of software at scale.

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Product Teams Need a Family Too! @ Product Camp Brazil, Dec 2021

Product Teams Need a Family Too! @ Product Camp Brazil, Dec 2021

Product Teams Need a Family Too! @ Product Camp Brazil, Dec 2021

Organizations that do not adapt rapidly to the modern, highly-changeable business and technical environment are failing, and failing in large numbers. Increased regulation, pressures from climate change, shifting of energy sources, digitalization, cloud-native, and (recently) the COVID-19 pandemic are all driving a need for business and technical agility in organizations of all sizes. In this talk, we’ll explore how the patterns and principles from Team Topologies promote true business and technical agility through a rapid flow of software change, fast feedback from running systems, a strong drive for loose coupling, and an awareness of sociotechnical mirroring. Combined with a product mindset and techniques from Domain-driven Design, the Team Topologies approach is helping organizations around the world to adapt to the “new normal” and achieve true business and technical agility.

Business and Technical Agility with Team Topologies @ WTF Is Cloud Native, No...

Business and Technical Agility with Team Topologies @ WTF Is Cloud Native, No...

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Organizations that do not adapt rapidly to the modern, highly changeable business environment are failing, and failing in large numbers. Increased regulation, pressures from climate change, shifting of energy sources, digitalization, and (recently) the COVID-19 pandemic are all driving a need for business agility in organizations of all sizes. In this talk, we’ll explore how the patterns and principles from Team Topologies promote true business agility through a rapid flow of software change, fast feedback from running systems, a strong drive for loose coupling, and an awareness of sociotechnical mirroring. Combined with a product mindset and techniques from Domain-driven Design, the Team Topologies approach is helping organizations around the world to adapt to the “new normal” and achieve true business agility.

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 Organizations that do not adapt rapidly to the modern, highly-changeable business and technical environment are failing, and failing in large numbers. Increased regulation, pressures from climate change, shifting of energy sources, digitalization, cloud-native, and (recently) the COVID-19 pandemic are all driving a need for business and technical agility in organizations of all sizes. In this talk, we’ll explore how the patterns and principles from Team Topologies promote true business and technical agility through a rapid flow of software change, fast feedback from running systems, a strong drive for loose coupling, and an awareness of sociotechnical mirroring. Combined with a product mindset and techniques from Domain-driven Design, the Team Topologies approach is helping organizations around the world to adapt to the “new normal” and achieve true business and technical agility.  Manuel Pais is co-author of Team Topologies: organizing business and technology teams for fast flow. Recognized by TechBeacon as a DevOps thought leader, Manuel is an independent IT organizational consultant and trainer, focused on team interactions, delivery practices and accelerating flow. Manuel is also a LinkedIn instructor on Accelerating Continuous Delivery in the Enterprise. https://www.linkedin.com/in/manuelpais/

Business Agility with Team Topologies @ Digital Transformation London meetup,...

Business Agility with Team Topologies @ Digital Transformation London meetup,...

Business Agility with Team Topologies @ Digital Transformation London meetup,...

Why are so many organizations stuck in the "middle" of DevOps evolution? What's preventing them from achieving higher levels of organizational performance despite all the automation, tooling, and good practices in place? Puppet's State of DevOps Report 2021 provides important research-based clues to answer these questions, supported by the patterns and recommendations in Team Topologies. In this talk we cover the self-imposed limitations of blindly following some “myths” around DevOps. Almost 80% of organizations are stuck in the "frozen middle" of DevOps evolution because of lack of organizational sensemaking abilities. The margin for growth for these organizations is tremendous, but they need to think beyond technical capabilities to unlock the potential of their teams to deliver with more autonomy and a sense of purpose. The data shows that Team Topologies provides the necessary organizational and team interaction patterns that help organizations achieve performance metrics such as delivering a new customer change request to live in under one hour, or diagnosing and recovering from a serious issue in production in under an hour. Get the State of DevOps Report 2021 here: https://puppet.com/resources/report/2021-state-of-devops-report To learn more about Team Topologies: https://teamtopologies.com/learn https://academy.teamtopologies.com

Frozen DevOps? Team Topologies Comes to the Rescue! @ DevOpsDays Poznan, Oct ...

Frozen DevOps? Team Topologies Comes to the Rescue! @ DevOpsDays Poznan, Oct ...

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Savvy organisations are discovering the value of treating their internal platforms as products. But what does it mean to treat a “platform as a product”? What benefits does this give, and why would an organisation adopt this approach? In this talk, Manuel Pais, co-author of the book Team Topologies, explains why the platform-as-product approach can be a game-changer for organisations building and running software-enabled products and services. Using ideas & patterns from Team Topologies - including Thinnest Viable Platform, team cognitive load, and the evolutionary team interaction modes - Manuel explains how organisations like Uswitch have successfully used the platform-as-product model to accelerate and simplify the delivery of software at scale.

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Organizational Trends and Patterns with Team Topologies @ LPCx Meetup, July 2021

Organizational Trends and Patterns with Team Topologies @ LPCx Meetup, July 2021

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Organizations that do not adapt rapidly to the modern, highly-changeable business and technical environment are failing, and failing in large numbers. Increased regulation, pressures from climate change, shifting of energy sources, digitalization, cloud-native, and (recently) the COVID-19 pandemic are all driving a need for business and technical agility in organizations of all sizes. In this talk, we’ll explore how the patterns and principles from Team Topologies promote true business and technical agility through a rapid flow of software change, fast feedback from running systems, a strong drive for loose coupling, and awareness of sociotechnical mirroring. Combined with a product mindset and techniques from Domain-driven Design, the Team Topologies approach is helping organizations around the world to adapt to the “new normal” and achieve true business and technical agility.

Business and Technical Agility with Team Topologies, Jun 2021

Business and Technical Agility with Team Topologies, Jun 2021

Business and Technical Agility with Team Topologies, Jun 2021

What are some of the key differences between traditional and modern internal platforms? Many organizations have built large internal “platforms” over the years, but never achieved the benefits in speed and reduced cognitive load for their development teams that more nimble organizations increasingly showcase. Why is that? What kind of behaviors and mindset drive modern Internal Developer Platforms (IDPs) and platform teams? There is hardly a more competent DevOps thought leader on this subject than Manuel Pais, co-author of the book Team Topologies. During the webinar we will answer questions like: How do you define core goals of modern internal platforms? What are typical consumption patterns of IDPs? How can you balance between platform stakeholders vs customers?

Traditional vs Modern Internal Platforms @ Humanitec webinar, Jun 2021

Traditional vs Modern Internal Platforms @ Humanitec webinar, Jun 2021

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This presentation explores the impact of HTML injection attacks on web applications, detailing how attackers exploit vulnerabilities to inject malicious code into web pages. Learn about the potential consequences of such attacks and discover effective mitigation strategies to protect your web applications from HTML injection vulnerabilities. for more information visit https://bostoninstituteofanalytics.org/category/cyber-security-ethical-hacking/

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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Product Teams Need a Family Too! @ Agile Connect Lisbon - December 2019 Meetup

1. TeamTopologies.com @TeamTopologies Product Teams Need a Family Too! Manuel Pais @manupaisable

2. “Great products emerge from empowered, fully cross-functional teams.” – John Cutler, 2019 2

3.

4. devopstopologies.com

5. devopstopologies.com

6. 6 https://cloud.google.com/blog/products/devops-sre/the-2019-accelerate-state-of- devops-elite- performance-productivity-and-scaling

7.

8.

9. 9 There’s a limit to the scalability of product teams alone

12.

13.

14.

15.

16. 16 Handovers (can) kill flow

17.

19. “Great products emerge from empowered, fully cross-functional teams.” – John Cutler, 2019 22

20. “Despite striving to be cross-functional, one of the thornier problems product teams often face is lacking some necessary competence.” – Peter Neumark, 2015 23

21. arch & design coding testing deploying

22. coding testing deploying infra arch & design

23. coding testing deploying infra CI/CD arch & design

24. coding testing deploying infra ops CI/CD arch & design

25. coding testing deploying security infra ops CI/CD arch & design

26. coding testing deploying securit y infra ops CI/CD arch & designbuilding the product right

27. coding testing deploying securit y infra ops UXmonitor metrics product viability QA CI/CD arch & design

28. coding testing deploying securit y infra ops UXmonitor metrics product viability QA CI/CD arch & designbuilding the right product

29. 32 autonomy

30. 33 competences

31. 34 How to alleviate the tension between: team autonomy (increases flow) and lack of competences (decreases flow)

32.

36.

38.

40.

41. A good platform is treated as a product (reliable, usable, fit for purpose) 44

43.

46.

49. 52 When used with care, these are the only four fundamental team topologies needed to build and run modern software systems.

52. Also important 55 Team-sized software Avoid Conway mismatches Organizational sensing Thinnest Viable Platform (TVP)

53. Nationwide Project to Product: Practical Realities at a Large Scale Enterprise Adidas Where Cloud Native Meets the Sporting Goods Industry Barclays The Yin and Yang of Speed and Control BMW Game Changer: 100% Agile DevOpsTopologies.com Mercedes DevOps Adoption at Mercedes-Benz.io Twilio Platforms at Twilio: Unlocking Developer Effectiveness MAN Truck & Bus How to Manage Cloud Infrastructure at MAN Truck & Bus Farfetch UX I DevOps - The Trojan Horse for Implementing a DevOps Culture