As enterprise teams drive continuous delivery and cloud scaling, our environmental impact grows exponentially. Cloud-native architectures and digital solutions consume massive computing resources, driving up both costs and carbon footprints. Through hands on experiences and practical strategies that have been piloted, tested and implemented, this session will share how to measure, monitor and optimize our systems for both performance and sustainability.
This session will talk through practical approaches for measuring metrics like application energy consumption, establishing sustainability KPIs, and automating efficiency optimization in your DevSecOps pipelines and observability stacks. Participants will learn how to tailor or homegrown their own techniques to track environmental impact alongside traditional performance metrics, and even reduce excessive cloud spend!
A few examples of how organizations have successfully implemented Green Development practices:
“We cannot do that because we are DIFFERENT” is the most common rebuttal that hinders business agility at its core.
It is used by individual contributors and leaders alike to show their distrust of change.
It is a bold commitment to change nothing and preserve the status quo because change is feared to bring the worst out in everyone.
Every good leader has spent years stabilizing their team’s ways of working and to many of those leaders, introducing change is opening the door for the unknowns of chaos that used to keep them up at night.
Learn about “what’s in it for me” as a leader and how to take comfortable steps in your journey without regressing.
This workshop is designed for individuals or leaders that are either:
1. Pressured towards rapidly adopting industry leading trends like agile or product
2. Often thinking going back to “the way we used to do things”
3. Struggling to influence other leaders on agile practices
In this workshop, we will dive into how to:
1. Understand and recognize the psychological barriers
2. Enable a lightweight technique to limit the rate of change
3. Avoid becoming a victim of regressive behaviors by promoting failure
4. Using data/metrics to welcome change
Have you tried Agile and found yourself wondering, “is this a fad”? This is actually a common experience of many teams when they are first trying new practices, alone and without guidance. To help with these challenges, a new lego workshop was designed to bring the pragmatism of Agile Scrum to life, allowing teams to practice applying real Agile Scrum concepts in a safe to fail environment.
How is this workshop different and how was it relentlessly improved from feedback collected over 100 global sessions across different industries?
1. Practice running 3 sprints with all key events.
2. Each team member will have key roles (Scrum master, Product owner, and Engineers).
3. Start with a Product Backlog to continuously maintain.
4. Build in quality early for the “quality” of your product, and yes.. things do go wrong here!
5. You will get feedback and enhancement requests from stakeholders at the most inconvenient times.
6. Experience being “winded” by a real Sprint!
This simulation will push your team to quickly react to real world scenarios and decide for yourselves, will you “be” agile…. or just “do” agile?
As a founder, product manager or a hobbyist, taking care of your product is more than just a full time job. It is a personal commitment you made when it was just a small idea, your idea, to change the world.
The life of a product is a complex journey, one of self-discovery, creativity, adversity and truths. In this session, we will explain the highs and lows of product development, learning from real-world examples that reveal the raw truths of the process. We will dive into the techniques that fuel growth, the lessons learned from failures, and the art of pivoting when faced with inevitable market shifts. By the end, you’ll not only understand how to breathe life into your dream product, but also gain the insights and tools needed to nurture your ideas into resilient game-changing realities.
Join this discussion to equip yourself with essential skills to navigate the lifecycle of a product effectively. Key learning goals include:
1. Identify the key phases of the product lifecycle
2. Learn to map the stages of your product
3. How to master the art of pivoting to stay relevant in a dynamic market
4. An opportunity to reflect on the next steps for your product’s journey
The Rocky Mountains are calling! The 2025 SAFe Summit is returning to Denver, Colorado.
In software development, technical debt often becomes a barrier between business, product, and engineering teams. This talk will explain how storytelling can be a powerful tool to demystify technical debt, making it accessible and understandable for everyone in any team or organization. We will step through an example of how unrecognized and concerning amounts of growing tech debt was explained to align stakeholders through the power story telling. By bridging the gap between teams, we will show how we fostered a culture where everyone becomes a steward of the product, always thinking about the most impactful customer experience.
Technical debt is often misunderstood and undervalued, leading to decisions that can negatively impact the product and customer experience. By using storytelling, we can create a shared understanding and commitment to managing technical debt, ensuring that all teams are aligned and working towards the same goals.
As AI adoption accelerates across industries, securing AI agents has become critical for business operations. Organizations integrating AI into products and operations often overlook the unique security risks these systems face. AI agents are vulnerable to multiple threat vectors including prompt injection, data poisoning, social engineering, agent hijacking, resource exhaustion, and supply chain attacks. Attackers can exploit vulnerabilities in infrastructure and ML models to manipulate outputs and compromise system integrity. These adversarial attacks involve subtle modifications to input data that cause ML models to make incorrect predictions while evading detection. The consequences can be severe, especially in critical applications like autonomous vehicles, healthcare diagnostics, and financial systems, requiring robust evaluation frameworks and proactive defense mechanisms. Learn how to build a secure AI agent foundation to ensure reliability in high-stakes environments.