Name: Fireside Chat: Scaling AI and Feature Experiments with LaunchDarkly, AWS & Gravity9
Start: 2025-06-27T18:48:00Z
End: 2025-06-27T18:48:44.000Z
Location: BrightTALK

LaunchDarkly is a feature management platform that empowers all teams to safely deliver and control software through feature flags. By separating code deployments from feature releases, LaunchDarkly enables you to deploy faster, reduce risk, and iterate continuously. Microsoft, IBM, Atlassian, and 1000+ organizations use LaunchDarkly to build, operate, and learn from their software.

As software delivery speeds up, traditional monitoring tools often fall short—they’re reactive, not proactive, and rarely pinpoint which feature changes cause issues. Join Tom Totenberg, Solutions Engineer at LaunchDarkly, as he leads a panel discussion with Josh Nykamp and Shmuel Rosansky, two industry leaders on strategies for de-risking software releases. This fireside chat will explore real-world stories of mitigating risk without slowing down innovation. Our panelists will share their own first-hand experiences on balancing velocity with safety and responding to incidents effectively. We’ll also discuss how modern approaches, like Guarded Releases, are changing software release processes for the better. Whether you’re in engineering, product, or leadership, this discussion will give you actionable insights on building better release strategies.

De-risking software releases: Strategies from tech leaders

Join a fireside chat with experienced LaunchDarkly users as they focus on real-world strategies for managing releases at scale. Hear how enterprise teams are driving efficiency, reducing risk, and maintaining velocity across complex orgs and architectures. From improving team culture to streamlining workflows, panelists will share how they use LaunchDarkly’s most powerful capabilities—like custom roles, approvals, targeting, flag cleanup, and progressive delivery. Whether you’re scaling across teams and services, you’ll leave with practical insights to level up your release strategy.

Scaling smart: Feature management & release strategies that work

Running experiments is just the beginning… but scaling experimentation? That's the real challenge. It’s not just about running more tests; it’s about building a structured, repeatable approach that ensures every experiment generates actionable insights. 

In this first session of Ask the Experimentation Expert, LaunchDarkly Manager, Experimentation Specialist, Aaron Montana, and Experimentation Solution Specialist, Scott Shindeldecker, will show you how to level up your experimentation process with a scalable framework.

You'll learn how to:
-Determine when to experiment (and when not to).
-Build experiments in LaunchDarkly leveraging feature flags and a streamlined experiment builder.
-Easily visualize and interpret results with confidence—turning insights into action.

This session is built for engineering and product teams looking to scale experimentation. Whether you’re running a handful of tests or building out a full-fledged experimentation program, you’ll walk away with tips on when to experiment, how to build experiments in LaunchDarkly, and how to analyze and act on your results.

Ask the Experimentation Expert: How to Build a Scalable Experimentation Framework

97% of software performance issues go undetected until they impact users. That means most teams aren’t catching issues—they’re reacting to them.

For years, software teams have relied on post-release monitoring to detect failures. But by the time an alert fires, the damage is done: users are frustrated, engineers are scrambling, and the business is bleeding revenue.

What if you could see failures forming at the point of release—and stop them before they impact users?

Guarded Releases by LaunchDarkly makes that possible. By embedding real-time observability directly into the release process, Guarded Releases monitors, detects, and mitigates failures automatically—before they ever reach production. No more guesswork. No more 2 AM on-call alerts. No more release anxiety.

In this webinar, we’ll provide: 
-An overview of how today’s release methods are failing teams—and what to do instead.
-Background on why real-time visibility at the moment of deployment changes everything.
-A live demo of Guarded Releases in action—watch it catch and prevent a failure in real time.
-A free Quickstart Guide to help you issue releases with confidence.

Releasing software doesn’t have to be a gamble. Join us to see how Guarded Releases brings certainty to every deployment.

The End of Downtime: Catch Bugs Before Your Customers Do

Experimentation is essential for shipping data-validated software—but achieving reliable, holistic results requires connecting your experiments with the data in your warehouse. In this webinar, we’ll explore how LaunchDarkly Experimentation integrates with Snowflake to help teams run effective experiments and measure features against trusted warehouse metrics. This process helps teams obtain richer results that lead to informed, data-driven product decisions.
Join Aaron Montana, Manager, Experimentation Specialist at LaunchDarkly, and Tim Jones, Senior Director, Solutions Innovation Team at Snowflake as they demonstrate how to run experiments and analyze results with the LaunchDarkly Snowflake-native app.

You’ll get a closer look at:
-how to connect Snowflake with LaunchDarkly to streamline experimentation workflows
-why integrating experimentation with your data warehouse empowers deeper insights and better decision-making
-real-world examples of how teams leverage warehouse-native experimentation to uncover insights and make impactful decisions
-a live demo showcasing the LaunchDarkly Snowflake-native app setup, a step-by-step guide for building experiments, and an up-close look at the results and analysis

LaunchDarkly and Snowflake: Warehouse Native Experimentation for Engineering, Product, and Data Teams

The world's elite software teams have figured out how to do Continuous Delivery safely. They employ techniques such as feature flagging, blue-green deployments, and canary launches—to name a few—that allow them to continuously deploy to production with little risk. While these sorts of techniques originated in a CI/CD context, together they represent a new approach to software development, one that prioritizes risk reduction, business outcomes, and control. This new approach is called "Progressive Delivery."


In this webinar, you will learn:

- How Progressive Delivery differs Continuous Delivery, and why it matters
- The two major tenets of Progressive Delivery: Release Progression and Progressive Delegation
- How enterprises are putting Progressive Delivery into action in the real world

Progressive Delivery: A new development lifecycle for the modern enterprise

Businesses must continuously modernize their digital applications to meet evolving customer needs. But migrating data and users to new systems can be a daunting task for DevOps teams. While feature management is primarily known for helping teams deliver features faster and with less risk, it can also act as a blueprint for safe, progressive migrations.

Join this session to learn how your team can use feature management to accelerate your modernization journey to the cloud, to microservices, and beyond. 

This session will cover:
—Why feature management is key to continuous modernization.
—LaunchDarkly customer stories.
—A deep dive into LaunchDarkly’s database migration.

Continuous Modernization with Feature Management

Software powers the world, and it’s evolving fast. Yet, companies can struggle with optimizing their software products because of outdated systems and processes– some of which have existed for decades (shoutout to all those developers still transferring code with 3.5-inch floppies!) 

In his upcoming book, Gene Kim explores traits of high-performing teams over time and across industries, to provide insights into how companies can remain competitive in changing markets.  

Join Cody De Arkland, Director of Developer Relations at LaunchDarkly, for a conversation with Gene about his recent learnings and how they relate to engineering.  Plus, explore his best practices for adapting to change (even in slow-moving, highly-regulated industries).

In this session, we’ll discuss: 
—Common traits and metrics that matter for high-performance engineering teams 
—The correlation between release management and engineering performance
—Strategies for introducing modern development practices

Think Like A High-Performance Engineering Team

Are you looking for ways to ship your features more efficiently, so you're not stuck waiting in front of your screen? Learn practical approaches to automate your team’s release processes to gain accuracy, control, and standardization. 

At LaunchDarkly, we often say we help you “Automate your software releases.” But how do we make that happen? We’ll show you the best practices around building automations within LaunchDarkly, making them consumable by other teams, as well as how we can integrate other platforms and tools. 

Join Cody De Arkland, Director of Developer Relations, on a practitioner-focused walkthrough of how to automate your software releases with LaunchDarkly, and learn how to avoid those 2 am "Oh no, it broke!" wake-up calls.

In this hands-on demo experience, we'll dive into concepts like: 
—Scheduling flag changes, so flags are released at a predetermined time of your choosing
—How to create workflows and workflow templates to reuse across multiple releases
—Flag triggers that can be used to enable or disable flags, and tie into platforms like Datadog and Dynatrace
—Advanced use cases with our integrations and the API

Unpacking Automation: Releasing Features with LaunchDarkly

As software teams are pushed to deliver better, more reliable products faster than ever, it’s essential that engineering efforts are focused on the right things. While many engineering teams track metrics tied to velocity, how these metrics actually support top-line business goals is the most important indicator of value.

While DORA metrics help teams identify areas for improvement, they shouldn't be the only factors taken into account when measuring success. Are leaders able to tie their team’s work to business outcomes? Do teams have the right tools to achieve their end goals? Are risk and speed being balanced effectively?

Join Ravi Tharisayi, Senior Director of Product Marketing at LaunchDarkly along with guest speaker Chris Condo, Principal Analyst at Forrester, as they discuss what engineering leaders should be considering when it comes to maximizing the value of their teams’ efforts.

This session will cover: 

- What metrics software delivery leaders should be considering in 2023, along with recommendations for how to improve them
- The challenge of connecting DORA metrics to business impact, and why it’s crucial to have the right set of tools to measure outcomes
- Some of the most common use cases for feature management, and how it can be used to break down silos and drive better business results

Beyond DORA Metrics: Maximizing the Business Value of Software Delivery

Are you chasing the promise of experimentation in search of meaningful data? The kind of data that allows you to launch, test, and rapidly develop as you work toward a competitive advantage is the gold standard in experimentation. Unfortunately, many companies run experiment after experiment without seeing measurable results. Even worse, if you’re testing in silos, you’re missing the chance to run experiments at scale across teams and applications.

So much more than just A/B testing, experimentation is a set of both practices and tools that can help your teams make data-driven decisions part of their daily life, regardless of their technical expertise. 

Join LaunchDarkly in exploring some of the common challenges organizations face when trying to adopt an experimentation culture. Plus, get tangible insights into how experimenting with feature flags can accelerate your business growth. 

In this webinar, you’ll learn:

LaunchDarkly’s philosophy on experimentation, and why creating a culture of experimentation is crucial for making data-driven decisions
The unique benefits of feature-flag-powered experimentation tools
How organizations are using LaunchDarkly Experimentation to run more experiments, set up better experiments, and get insights faster
Concrete tips and tricks your teams can start adopting today, even if you’re not an engineer

5 Proven Strategies for Better Experimentation

Panel discussion between Christian Posta (Global Field CTO at Solo.io) and Adam Zimman (VP of Platform at LaunchDarkly) at the Test in Production Meetup. 

If you’re interested in joining us at a future Meetup, you can sign up here: https://www.meetup.com/Test-in-Production/

Test in Production: A Panel Discussion on Progressive Delivery

Businesses must continuously modernize their digital applications to meet evolving customer needs. But migrating data and users to new systems can be a daunting task for DevOps teams. While feature management is primarily known for helping teams deliver features faster and with less risk, it can also act as a blueprint for safe, progressive migrations.

Join this session to learn how your team can use feature management to accelerate your modernization journey to the cloud, to microservices, and beyond. 

This session will cover:

Why feature management is key to continuous modernization
LaunchDarkly customer stories
A deep dive into LaunchDarkly’s database migration

More and more enterprise organizations are looking to adopt DevOps practices. It's a way of thinking about processes so that everyone can move faster, and when executed well, it should help teams tear down walls. But it's important to remember that DevOps isn't just fast waterfall.

Jason Bloomberg, Analyst and President at Intellyx, is joined by LaunchDarkly's Developer Advocate Heidi Waterhouse and Lead Solutions Engineer Lev Lazinskiy in conversation on how enterprises are actually achieving DevOps. They'll also look at how Continuous Delivery fits into this new paradigm.

Learn more: https://launchdarkly.com/

Can you shift everything to the left. How enterprises are adopting DevOps

This is the third of a three part series on "Talks in Production" with LaunchDarkly's Developer Advocate Heidi Waterhouse.  This session focuses on the details of practice, preparation and overall readiness.

We'll cover: 

* Why practice matters
* What counts as practice
* How to get better
* Practical preparations for most situations
* Question time and feedback

Talks in Production #3: Practice Makes Better: How to Prepare for Your Show

This is the second of a three-part series on "Talks in Production" with LaunchDarkly's Developer Advocate Heidi Waterhouse. This session focuses on how you write a presentation and work through your idea to present it effectively. 

* How long is your talk slot and how do you judge your content 
* How to do audience analysis 
* Learn your own talk process 
* Slide deck tips 
* Promoting your talk

Talks in Production #2: Making the Thing - How to Create a Presentation

This is the first of a three-part series on "Talks in Production" with LaunchDarkly's Developer Advocate Heidi Waterhouse. In this session Heidi will cover: 

* How to figure out where to talk 
* Figuring out your topic 
* Crafting a proposal 
* Submitting 
* Responding

Talks in Production #1: Let Me Tell Ya - How to Submit a Talk Proposal

Join experts from LaunchDarkly, AWS, and Gravity9 for a deep-dive fireside chat on how to bring experimentation and feature delivery together to power smarter, data-driven decisions at scale.
Whether you're just starting to explore experimentation or looking to level up your current strategy, this session will give you the tools and insight to make it a core part of your development workflow.

Don’t miss this opportunity to learn how top tech teams are unifying experimentation, AI, and feature delivery to ship faster and smarter.

We’ll cover:
-How to scale experimentation programs across teams and environments
-Integrating feature flags with data pipelines for real-time analysis
-Best practices for experiment design, tracking, and analysis
-Exploring AI configuration testing using AWS Bedrock
-Leveraging Snowflake Warehouse Native Experimentation
-Real-world lessons from engineering and product leaders

Fireside Chat: Scaling AI and Feature Experiments with LaunchDarkly, AWS & Gravity9

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Fireside Chat: Scaling AI and Feature Experiments with LaunchDarkly, AWS & Gravity9

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