When navigating the complexities of software design and development, new ideas and future requests frequently cross software and team boundaries. The most effective approach to these design challenges is through collaborative modelling sessions, where teams are directly involved in crafting the software design. Yet, this approach leads us to a critical dilemma: What happens when new capabilities increase the cognitive load on a team, hindering their ability to deliver on both new and ongoing business needs? And how do we address situations where these new capabilities clash with our current architecture, leading to necessary changes that don't fit our existing team structures? Our goal is always to create the best architecture for our business challenges, but this depends heavily on our teams' delivery capabilities. This brings us to a fundamental question: If our teams face difficulties in implementing what is ideally the 'best' architecture, can we still consider it the most effective solution?

Join us in this interactive, hands-on session, where you will delve into a real-world software design challenge that intersects both software and team boundaries. Equipped with detailed context and comprehensive software diagrams, you will design in groups two potential software designs. You are free to approach the challenge in any way you prefer, and we will provide a message flow modelling template to help you quickly start addressing your challenge.
From those initial two designs, we will introduce you to the fundamental principles of Team Topologies, focusing on how cognitive load affects the teams involved and your software design. This understanding of cognitive load will be crucial as we further explore more solutions to the design challenge. Throughout this session, you will gain practical insights into how cognitive load influences your approach to software design. You will learn how to effectively incorporate Team Topologies into your design decisions. By the end of this experience, you will have hands-on software design experience, tackling complex design challenges with a team-first approach.

Let’s talk about powerful conversations! We all know how to lead a constructive conversation, right? Then why is it so difficult to have those conversations with people at work, especially those in powerful positions that show resistance to change?

Learning to control and direct conversations takes understanding and practice.

Join this session to become a real influencer! Learn how to prepare for difficult conversations and get more successful results from them. We will use Dave Gray’s Empathy Mapping and The Four Rs model from Agile Conversations (Squirrel and Fredrick) to improve our conversational skills in order to be more influential without power.

In the session you will learn how to communicate more effectively with the people needed to achieve positive change. You will leave with a self-revised version of a difficult conversation and a practical model to use when you get back to work.

Workshop Description:
This workshop talk is designed to provide insights into the revolutionary impact of generative AI tools on DevOps and DevSecOps. The presentation will explore how advanced AI technologies like Large Language Models (LLMs), LangChain, LangSmith, and vector databases (RAGs) transform the software delivery and security landscape.

Detailed Agenda:

1. Introduction to AI in DevOps and DevSecOps
   - Brief overview of the current state of AI in software development.
   - The emergence of AI tools and their potential.
2. Deep Dive into Generative AI Tools
   - Exploring the capabilities of LLMs, LangChain, and LangSmith in software delivery.
   - Case studies showcasing their impact and benefits in real-world scenarios.
3. Integrating AI into DevOps and DevSecOps
   - Strategies for effectively incorporating AI tools in CI/CD pipelines.
   - Enhancing security and efficiency through AI-driven solutions.
   - Addressing the challenges and considerations in implementation.
4. Future Trends and Closing Thoughts
   - Discussing the future trajectory of AI in DevOps and DevSecOps.
   - Encouraging proactive adoption and ongoing learning.

Outcomes:
- Attendees will gain a comprehensive understanding of the role and potential of AI in enhancing DevOps and DevSecOps.
- Insights into practical strategies for integrating AI into existing workflows.
- Awareness of the challenges and best practices in AI adoption in software development.

Conclusion:
This talk is an opportunity for professionals in the software development and IT security fields to understand and embrace the transformative potential of AI in their domains. Join us to explore cutting-edge AI-driven DevOps and DevSecOps innovations!

Technology drives value and innovation in every organization. At Google Cloud, we have learned a lot about what it takes to build and scale high-performing technology teams. Our own lived experience combined with a multi-year research program by the DORA team can be used to help you and your team transform into a high-performing technology team.

This workshop will help you put the insights of the research framework into practice. Participants will:

1. Describe your team's current software delivery process
2. Set baseline performance metrics
3. Compare your performance with your peers in the industry
4. Use DORA's predictive analysis to identify where to make your next improvement
5. Set some goals

By the end of this workshop you will have one improvement story to add to your backlog as you take the next step toward becoming an elite performing team. And, you'll be able to repeat the process with your own team in your quest to get better at getting better!

Have you ever faced roadblocks in software development stemming from disjointed team structures or interactions? You’re not alone. Misalignments between software and the domain, siloed teams focusing on discrete tasks, or processes dictating software architecture often culminate in rigid software not resonating with evolving requirements.

Enter Team Topologies, a pattern language, and a set of principles and practices to ensure a swift flow of changes while honoring human-centric aspects like trust boundaries and cognitive load. This perspective prompts a riveting question: What if we modify how teams interact with each other and leverage these interactions to evolve our software? What would such a world look like?

Through real-world use cases, we’ll discuss and understand the implications of applying Team Topologies and fast-flow principles. This workshop is not just theory; it’s about practical engagement, discussion, and learning by doing.

At the end of this workshop, you’ll be able to:
- Engage in insightful discussions with your team on the core concepts of Team Topologies.
- Employ learned techniques to explore how your software can evolve and what the implications are.

Join to know how Google uses the SRE Approach which originated at Google to keep things working all the time ( almost ;) ).

I will share information about SLO, SLI, SLA and Error budgets and how can you start working the way Google works.

Escaping legacy is hard. You have a product in the hands of users, but delivery gets slow, defects are common, and when you want to build a new feature no one can say how long it’s going to take. Engineering is talking about a rewrite, but you can’t just stop and wait.

In this workshop I show how you, as product owner, QA, manager, or engineering lead, can use familiar practices, like Story Mapping and Example Mapping to improve testing, plan refactoring, or even re-work, iteratively and safely.

Assuming a legacy system, in this workshop we start with an existing app and reverse engineer it:
* discover what the functionality is,
* capture it in tests, whether low resolution, or high resolution, and
* prioritize to integrate with our plans for new work and risk

In the workshop you will go through discovery of a familiar existing app, and practice using Story Mapping and Example Mapping to bring the app under test. You work in small groups through the exercises, and can experience how this generates insight and translates into both a solid test strategy, as well as the freedom to be able plan work on a legacy system again.

Ready to break free from vendor lock-in and predatory pricing from your SaaS observability vendor? It’s time to learn more about Prometheus, a free and open-source systems monitoring and alerting tool kit that enables you to discover, collect, and query your observability data. Join us for this workshop designed to expand your knowledge of open-source observability tools, including how they are used and how they are different from the proprietary instrumentation you use today. This hands-on workshop is designed to help central observability team leaders, engineering managers, and site reliability engineers (SREs) get enough background to start moving their teams away from proprietary instrumentation and get them started with open-source observability. During the workshop, you will install Prometheus, collect metrics, and learn how to effectively run it in your observability stack. Get started today and so your team can hit the ground running with open-source observability!

You've taken your first steps into the exciting world of machine learning, and now you're ready to bring your models to life in a production environment on AWS. Join this session, "Machine Learning 102: Deploying to AWS Production," designed for developers who have dipped their toes into machine learning and are eager to learn the ropes of deploying models in a real-world setting. Whether you're a Python-savvy coder or just starting to explore the possibilities of machine learning, this presentation will guide you through the essential steps of transitioning from model creation to deployment.

In this interactive session, we'll delve into the intricacies of deploying machine learning models on AWS. Learn what to do, what to avoid, and uncover some nifty tricks along the way. Through live demonstrations, we'll walk through the process of setting up your machine learning model in a production environment, addressing common challenges and showcasing best practices. From handling your own data to making use of existing models, we've got you covered. Whether you're interested in deploying your first model or refining your deployment skills, this session is tailored to equip you with the practical knowledge you need.

Moreover, we'll explore the world of MLOps - the intersection of machine learning and operations. Discover how MLOps practices streamline the deployment lifecycle, ensuring scalability, reliability, and maintainability of your machine learning applications. Gain insights into integrating your workflows seamlessly into AWS, and leave with a solid understanding of the essential concepts that bridge the gap between development and operations in the machine learning space. Don't miss this opportunity to level up your skills and unlock the full potential of deploying machine learning models in an AWS production environment. Join us for an engaging session that empowers you to take your machine learning projects to the next level!

Have you ever wanted to be on stage, but feel uncomfortable in front of many people? Or are you already a speaker and would like to improve your stage presence? Then this is the workshop for you!

Folks often underestimate how the way you carry yourself can make all the difference between an engaging talk and a total snoozefest. And this isn’t only relevant to public speaking. But any face to face interactions like meetings or social gatherings can benefit from a bit of “stage presence”.

In this workshop, we will learn how to be truly present and connect with our bodies, packed with exercises and games, commonly used in theatre productions. So at your next presentation, you can use these techniques to draw in your audience.

If you want your platform team’s ideas to make an impact and get adopted in your company, you will need a lot more than technical knowledge. Whether your work becomes obsolete or enables other engineers to be more productive and happy depends on whether you learn to build up your platform as a product.

Why do some seemingly promising initiatives get traction, and why do others not? What makes some teams good at getting support for their ideas and others not? How come some changes increase cognitive load while others reduce it? The answer lies in the team’s ability to discover and align the business and their users’ needs and quickly deliver a solution that moves the needle.

Everybody who tried knows that this is easier said than done. I will teach you to use my favourite blend of Lean Startup, Goal Trees, User Journeys, and Story Mapping packaged in a multi-day workshop format to redefine how we approach the creation of Minimum Viable Products (MVPs) for any endeavour.

In this workshop, we will practice facilitating a workshop on defining an MVP, through heated discussions to an agreement about how we as a team can start small and validate and adjust our approach as we go.

I’ve frequently adapted and used this method in various projects, from startups to data and event streaming platforms, and the result was always positive: improved collaboration between teams and stakeholders, clarity of the requirements, shorter time to market or lead time for changes, and user adoption speed.

GitOps has been around for a few years now, and available tools have matured. With ArgoCD, a single CNCF-graduated project provides a UI, CLI, and many advanced features for templating, customizations, and multi-cluster operations.
But which aspects are great, and which are just noise or nice to have?

In this workshop, attendees will catch a glimpse at different strengths and weaknesses of ArgoCD and apply them hands-on in interactive labs, enabling them to make up their own minds.

In bite-sized sections, topics like ArgoCD's architecture and first steps will be covered as well as the utilization of the project's CLI and more advanced deployment scenarios.

By the end of the session, terms like 'projects', 'application sets', or 'app of apps' won't be mysterious concepts anymore, but first-hand experiences.

Attendees may take their clusters home with them. 😉

Interested in building a serverless WebAssembly app? In this workshop we will walk through creating a first serverless application with the open source Spin project. We will be creating a “Magic AIght Ball” app using a combination of new code and existing components. This is like a Magic 8 Ball app but with Generative AI. What you will learn:

• Build your first Serverless WebAssembly App
• Building a JSON API
• Adding a Front-End
• Persisting data
• Using a Large Language Model for Gen AI

Attendees are encouraged to bring laptops and to have a GitHub account configured. This workshop will assume:

• Familiarity with working on the command line
• Knowledge of any of the following languages: JavaScript, TypeScript, Rust, or Python

We guarantee you will learn something new!

In recent years, many organizations have been prioritizing migrating to the cloud. However, this transition brings new challenges, particularly in cost management. Software teams frequently find it challenging to balance innovating and implementing cost-effective solutions. Over the past seven years, I've been fortunate to assist various companies with optimizing their costs on Azure. This session allows me to share my observations and experiences with you.

Here is the agenda for this session:

• Cloud Cost Management Challenges
• Azure cost components
• Cost analysis tools and techniques
• Practical examples of cost optimization
• Proactive Cost Optimization

By the end of this session, you’ll be well-equipped to analyze, optimize and control your Azure expenditure. If you are interested in learning about cost optimization on Azure, please join me for this session.

In this talk, we will explore the potential of AI in revolutionizing the traditional Software Development Lifecycle (SDLC).

The current workflow involves a cycle of development, testing, deployment, execution and issue resolution.

In the future this will evolve more towards a process where more and more of these steps get augmented by AI. The AI will help in writing code and tests. When you apply this to the next steps AI will interpret logs and metrics, propose code fixes.

Some of these steps are already there while others will most likely be developed in the future.

By taking on more responsibilities in the SDLC, AI empowers developers to create higher-quality applications at a faster pace. It makes best practices that were previously time consuming to fully integrate, such as secure software supply chain practices, full test coverage, complete dashboards and alerting, SLOs and SLIs, etc. more accessible.

We will discuss the current capabilities of AI in the SDLC, the near-term advancements we can expect, and the possibilities for the future.

Join us in this talk, open to anyone vested in the tech industry's future, as we embark on an exploration into the ideal of meritocracy.
Do the industry's efforts in championing meritocracy match up to its noble intentions?
Through a comprehensive analysis of data, research, and anecdotes, we examine our collective efforts in rewarding talent and hard work in the pursuit of fairness.
This presentation examines the impact of our well-intentioned efforts in areas such as performance evaluations, hiring, promotion, skill development, and funding, inviting the audience to reevaluate their role in shaping a fair and just industry.

The web portal is an emerging capability within platform engineering. A web portal promises to empower your developers by making it easy to create, manage, and explore your IT landscape.

Bol. has been pioneering in this field since 2021, by implementing Spotify’s Backstage. Throughout this journey we had to tackle numerous technical and organizational challenges.

Join us for an enlightening talk where we share our insights and discoveries. Discover how to tailor your organization to position your web portal as the ultimate hub to support the developer journey. Delve into the technical complexities of harmonizing data, APIs, and contributions from diverse teams into a seamless and uniform developer experience.

Developer Experience (DX) is not just describing the "frontend" experience - it's about every aspect of the experience your developers (internal and external) have with your product, tooling, systems, etc. Platform engineering has emerged as this general way to remove developer toil, but DX is more than that, encompassing everything from deployment pipelines to IaC practices to developer efficiencies to even UI/UX. In this talk we will seek to bring into focus some of the principles of DevOps (collaboration, communication, shared responsibility) and how a strong DX mindset can bring Dev and Ops together.

We've become developer productivity obsessed, worse, developer productivity METRICS obsessed. How often do we deploy apps? How many story points did we complete? What's our MTTR? What's the network admins eNPS? An obsession with developer productivity is good at small doses, but it becomes a distraction when taken too far. And, besides, who is this focus on productivity really benefit? In this talk, I'll first give an overview of the latest in developer productivity metrics. Second, I'll go over some techniques to avoid descending into metrics madness. Finally, I'll go over what we should be paying more attention to instead of productivity.

Join Marcy, a dynamic young engineer and product owner, and Stéphane, a technical architect, for an insightful look into Agile Kubernetes Cluster Creation. Witness how a group of talented engineers was transformed into an agile powerhouse through strategic team reorganization. Learn about our journey from one cluster to 1000 secure clusters in just 6 months, a feat achieved not only through technical skills but especially through a renewed focus on agile management and collaborative practices.

Discover how we enhanced user satisfaction and project success by fostering a collaborative environment, which was crucial for navigating the complexities of advanced Kubernetes deployment. Through initiatives like the Genius Bar for user engagement, we combined technical innovation with a profound understanding of teamwork and communication.

This presentation is more than a technology tale; it's a story of human resilience, creativity, and the power of effective team management in the tech world. Perfect for tech enthusiasts and professionals alike, it will inspire you to harness the power of agile methodologies and collaborative spirit in your own teams.

Automation. Everyone seems to want more of it. It's the A in CALMS, the basic tenets of DevOps. It’s the best way to eliminate all the tedious repetitive tasks that make up so much of our daily operational work. Just automate everything, and all our lives will be better.

In my day job I help teams improve by embracing automation. But lately I've been wondering: is this really the silver bullet we're looking for? Are there any risks or downsides that we're overlooking? Is there a case to be made for old fashioned, bespoke, manual labor?

Join me for a short journey into the dark side of automation, and see what can go wrong when we start trusting all those computers too much.

...is what Harry Potter gets told when trying to get to platform 9 3/4 for the first time. And sometimes, going at a higher pace and stop overthinking stuff is a great strategy when we're under stress, uncertain of where we're heading, or just getting started with new things.
After all, there's all sorts of walls to run into (or better: through) in life - DevOps itself has often been described as overcoming the wall between Dev and Ops - but there's more: The wall between junior and senior, the wall between using and contributing to projects and communities, and so on.
This ignite is about my personal experiences of doing 'a bit of a run' in different situations throughout my (short) career in tech.

Drawing a comparison between my past and current professions. Looking at stages of baking in preparing, mixing, baking, and selling while comparing to DevOps stages of planning, building, deploying, and feedback. An analogy between the process of production baking and the philosophy of collaboration for shipping software.

Join me in this dark but also inspirational exploration of existential risks and what they mean for us working in technology.
Come explore how, for the first time, humanity — armed with unprecedented capabilities to both create and avert existential risks — finds itself at a unique turning point that may decide on the future - or not - of humanity and in fact all life on earth.
Understand the implications of the Fermi Paradox - or ‘why no one is out there’ - and the relevance of the ‘Great Filter’. We'll explore the specific threats posed by run-away greenhouse effect, nuclear destruction, alien invasion or super-intelligent AI. And the potential extinction of not only humanity, but all life.
As contributors to the tech landscape, we all play a crucial role, and collectively must become the architects of a future marked by resilience and ethical foresight, and guide humanity towards a secure tomorrow, transcending the challenges of the Great Filter.

Imagine yourself as Dante, lost in a Deep Dark Forest.

You are not alone, I will be your Virgil, your guide through the Engineering Hell.
This Platform Engineering dream can, and will, be turned into a nightmare if tools and practices are adopted without a rationale and no focus on culture.
Following an oneiric path, inspired by the Divine Comedy, we will travel through each Hell ring, examining all the different ways to fall into the flame pit of Engineering Hell, all the demons you can encounter on the way to reach the peaks of your well deserved Platform Engineering Eden or the Platform Engineering manifesto.

DevOps has become the de facto standard for teamwork in IT. Yet, it mainly concerns IT, and many teams keep struggling to bridge the gap with Business.

As a next step in our journey to involve Business better in DevOps dynamics, we share our near-3-year adventure with the Dutch railways (NS).

We show how we reshaped our engagement, cracked our commercial model, and improved the customer relationship along the way. We have found our approach puts engineering effects at the heart of business, proves to be a booster for team morale, and allows for more candid customer conversations.

In addition to the successes, we share our pitfalls and the lessons we learned along the way, and hope to inspire you to try our approach yourself!

"This tech stack is outdated, it's a legacy system and oh my goodness just look at metaphorical gaffer tape that's being used in code" - sound familiar? How about "We can’t recruit for this position, because nobody wants this legacy tech anymore"?

Why? So-called legacy code is the backbone of so much software engineering. How many banks, insurances or government departments would just stop working if the mainframes were switched off?
Far from something to outsource to the lowest bidder, looking after legacy is a job for experienced engineers. Far from being the short straw, brown field development is just as exciting - if not more - than working in a feature factory knocking out microservices with the latest shiny patterns.

In todays tech environment, both people and organizations must continuously learn and adapt to be successful. Yet study after study shows that learning is difficult for most organizations.

In this talk, we will discuss whats preventing smart people from learning new things, the development of personal and organizational growth mindset, and how leading by example proves to be extremely important for creating a learning organization.

Join me at DevOpsDays for a chat on how we prepare trainees for roles in tech in our organisation in a fun and engaging way.
I'll share how we structure our three year traineeship program, taking our new colleagues from total beginners to competent professionals!

Whether you're someone who is training, or getting trained - let's think about shaping the next wave of DevOps leaders. We'll explore training plans, learning tips, and teamwork strategies together. Don't miss how we help trainees step smoothly into their future roles as developers and system administrators.

Join me for a brief, laid-back discussion on building a future where our trainees shine in their tech careers.

In the past 6 years, PostNL has built a landscape of over 70 serverless applications. We chose AWS serverless because it is a perfect match for our logistics processes, it is cost-effective, it allows us to focus on our business challenges, and it significantly reduces our operational overhead. But every decision in IT is a trade-off, and embracing serverless is no different. We will highlight the constraints we faced, the new skillsets required from our engineers, and the investment required for success.

We will conclude by making up the balance; what has serverless brought our enterprise, what has it cost, and was it worth it?

We've been doing DevOps since before it had a name!

It's true, the word DevOps is less than 15 years old but collaboration across teams working towards shared goals has been around for much longer than that.

The DevOps community has taken lessons and insights from other disciplines.

Many argue that DevOps isn't a tool or a job title.

Let's take some inspiration from another field and explore the idea that, perhaps, DevOps is a Way of Being.

In a world where Cloud gives us the ease and flexibility to deploy and scale your apps we often overlook security and control. The fact that resources in the cloud are still shared, the hardware is shared, the network is shared, there is not much insight into the infrastructure unless the logs are exposed by the cloud provider. Even an air gap environment in the cloud is truly not air gapped, it's a pseudo-private network. Moreover, the general trend in the industry is shifting towards cloud repatriation, it's a fancy term for bringing your apps and services from cloud back to on-prem, like old school how things were run before the cloud was even a thing. This shift has caused what I call a knowledge gap where engineers are only familiar with interacting with infrastructure via APIs but not the hardware or networks their application runs on. In this talk I aim to demystify on-prem environments and more importantly show engineers how easy and smooth it is to repatriate data from cloud to an on-prem air gap environment.

This ignite talk describes what infrastructure is available to be used in your multi cloud setup that can be powered with open source hardware, firmware and software over multiple sites, locations and public cloud infrastructure. By using Open Hardware, such as OpenPOWER providing open source hardware with open source firmware and open source software, a fully open source cloud can be build.
This ignites provide some information about such hardware and clouds.

Ever find yourself overwhelmed by dubious "management-speek"? Wonder what they really meant when they said what they said? Do you leave meetings even more confused than when you walked in?

No more!

Join this talk to learn the real meaning behind some of the things you might hear when your project is "finally ready to become DevOps"... whatever that means.

Science has brought mankind lots of knowledge on how things around us work. It provided us with laws and formulas that help us to predict the behavior of materials and systems.

Physicists like Carnot, Clausius, Planck and Kelvin explored the field of thermodynamics and laid the foundation for what we now know as the second law of thermodynamics, which introduced the concept of entropy. Okay, but what the heck does this have to do with DevOps and IT?

Well, in an ever expanding and evolving IT-landscape, entropy and thus the second law of thermodynamics, come into play. Are we doomed by this law or can we somehow turn the tide?

This talk will be a tiny little bit of a physics lessons, but after some torturous formulas and a live experiment/demonstration, all will be nicely translated to our daily work as IT pros.

Nerd sniping is the practice of presenting a challenging, often distracting, problem that appeals to a person’s obsessive tendency to solve it. Instead of using nerd sniping to distract and derail, we can use it to motivate and empower. What if you could drive a business outcome without being directive? We’ll explore strategies that can help you reap the benefits of nerd sniping and avoid the antipatterns where it can be abused. A culture of autonomy and empowerment is closer than you think.

We’ll introduce Maslow’s Hierarchy of Nerd Sniping to differentiate the types of nerd sniping: are you trying to impress the boss and fulfill a need for belonging, or are you truly excited about impacting the business? You'll need to recognize the power dynamics involved in nerd sniping, and take responsibility commensurate with your position: the closer to the top of leadership you are, the more your nerd sniping has to be aligned to business goals.

The autonomy resulting from nerd sniping is only possible in certain work environments. We’ll go over a checklist to see if your team is ready to try nerd sniping, and if your team isn’t ready yet, we’ll explore other tactics to shape your organization: vision-driven work, hack weeks, thinking in bets, and inclusion. A couple small steps can have a huge impact on your team: join me in giving nerd sniping a try!

Generative AI has taken the world by storm since its general availability to the public in early 2023. Going from novel technology to commodity in months, this disruptive technology quickly found applications in the software development world - and many engineering organizations are trying to capitalize on the disruptive technology.

Nearly every engineering organization has adopted, or is thinking about adopting GenAI as a tool for developers. It has become wildly popular for everything from generating code, to writing and deploying tests, pull request reviews, experimentation and PoCs and much more. But who checks the machines? In this talk I'll dive into the actual measurable outcomes - positive and negative - of adopting GenAI in engineering organizations.

While engineering leaders rapidly jumped on the GenAI bandwagon, many are still struggling to quantify its value, not to mention manage its risks. This talk will discuss how and what to measure to understand adoption, quantify benefits and control risks in your initiative to leverage AI in your engineering organization. Join us to learn about the specific metrics you should be monitoring to ensure maximizing ROI on your GenAI engineering org initiatives.

In 2022 Picnic opened its first fully automated warehouse. Groceries whiz by at a dazzling speed on conveyor belts, robot shuttles, and other automation components. Initially Picnic's own warehouse control system ran on-premise, since low-latency responses and stability are key to running a stable operation.

But as a cloud-native company, we set ourselves a challenge. Can we engineer a cloud-based system with the same guarantees? Turns out, we can! In this keynote we will share our lessons and the obstacles we had to overcome to make this reality. Engineering a cloud environment for low-latency automation control is one thing, migrating an on-premise setup to AWS while not disrupting a massive operational warehouse is quite another feat! Join this keynote to learn not just about the technology, but also about the people and processes it takes to pull this off.

Think of the times when you have to collaborate with business units, cross-departmental teams, and other functions. Too often complex ideas and jargon can impact cross-departmental communication and collaboration effectiveness and efficiency. In this session, I will share practical tools you can implement to explain, communicate, and include non-technical team members in a technical conversation. You will learn how to quickly and effectively communicate complex ideas through stories, data, and experiences for a more productive conversation