Rick M. McConnell
Thanks, Noelle, and good morning, everyone. I'm thrilled to be joining you from our new corporate headquarters in Boston. It's a vibrant modern space that is a direct reflection of our collaborative and innovative culture, and I am excited to host customer and investor meetings here in the future. Moving on to our Q1 earnings. Dynatrace had a strong start to fiscal 2026. Subscription revenue grew 19%. ARR grew 16%. And pretax free cash flow was 33% of revenue on a trailing 12-month basis. These results continue to demonstrate our ability to deliver a powerful combination of top line growth, profitability and free cash flow. The strength of our AI-powered observability platform continues to resonate with customers as they look to standardize observability on a single end-to-end platform to deliver precise answers, deterministic insights and intelligent automation. Jim will share more details about our Q1 financial performance and guidance in a moment. In the meantime, I'd like to share my thoughts on what we see as the durable drivers of growth in the observability market and why I believe Dynatrace is well positioned to benefit from them. In the last several weeks, I've met with dozens of customers around the globe and there is increasing alignment around 3 key approaches to unlocking value with observability, end-to-end observability, AI observability and business observability. Let me start with end-to-end observability. The rapid rise of cloud modernization and AI workloads has caused a massive explosion of data and complexity. Hyperscalers are now generating more than $265 billion in annualized revenue, growing in the mid-20s. And this immense shift to the cloud is creating a level of scale too large for humans to manage. Meanwhile, traditional observability solutions used by organizations to manage digital workflows are often siloed and do not deliver the holistic picture needed to optimize results. And dashboards and other visualization tools require substantial manual oversight and response. Organizations are consequently looking for an end-to-end observability platform that provides deep analytics and insights ultimately enabling automated response. This is precisely the differentiating power of Dynatrace, allowing customers to take a proactive approach to address these challenges and deliver radically better outcomes. End-to-end observability first requires unification across observability domains with organizations increasingly seeking a single solution for applications, infrastructure, log analytics, real user monitoring, application security and other areas. By providing a unified platform, Dynatrace provides a complete picture of digital services rather than customers having to stitch them together manually. End-to-end observability also necessitates a common data layer. Dynatrace customers benefit from the power of Grail. Our massively parallel processing data lakehouse that houses all data types, logs, traces, metrics, real user data and more in context to provide accelerated insights at enormous scale. And finally, end-to-end observability mandates accessibility by all personas. With Dynatrace developers, platform engineers, SRE teams, IT Ops and even executives can now all leverage the same data in a unified platform to enable the groups to work better together to remediate, protect and optimize cloud-native workloads. Organizations are also able to extend left to take advantage of observability insights much earlier in the development process. This brings me to the second application of observability, AI observability. Dynatrace, we have been using AI to deliver insights for over a decade, and we continue to innovate aggressively in expanding our capabilities. We utilize multiple AI techniques in our platform. Causal AI for root cause analysis, predictive AI to apply anomaly detection and machine learning to anticipate issues. and generative AI to make the platform accessible to a wider array of end users. And customers are increasing their use of the platform to observe their AI workloads. For example, one financial software customer deployed agents to automate many different finance tasks. Prior to the launch, they leverage Dynatrace's AI observability to validate performance of their new agent capabilities. A large insurance company has been building an internal AI platform to increase the efficiency of their engineering teams. They utilize Dynatrace to help ensure their AI platform is functioning correctly and cost effectively. Furthermore, we have built our third-generation platform with Grail at its core to seamlessly unify observability, security and business data. This foundation empowers intelligent decision-making and action, enabling enterprises to transition from human oversight to intelligent autonomous systems. We recently announced significant advancements in our platform, evolving its ability to serve as the knowledge, reasoning, planning and actioning framework of agentic AI and provide trustworthy precision and adaptability. We believe that agentic AI advances the fulfillment of our vision by providing a clear directional heading that drives the core of our operations. And we are driving toward an agentic AI ecosystem in which our AI agents will interoperate with third-party AI agents to take appropriate action. Importantly, deterministic answers are critical for agentic AI to work properly. You have to trust answers to take action on them, which is precisely the confidence that we believe the Dynatrace platform provides. The third way customers are driving outcomes with observability is business observability. We think of business observability as the ability to deliver meaningful business value beyond technical analytics, root cause analysis and mean time to resolution. Because we include business events as a data type in Grail, we can provide a broad set of insights like business process optimization, revenue impact and real-time analytics for any observability source. For example, a large airline uses Dynatrace to assess gate operations and baggage handling. A cruise ship operator focuses its Dynatrace insights on the passenger onboard experience. And financial services firms are interested in time to open an account or mortgage or to make a payment. Business observability is about identifying the key performance indicators, a customer wants to address and leveraging an end-to-end observability framework to optimize their attainment. And this is where Dynatrace can increasingly become a force multiplier for businesses looking ahead. These 3 enterprise use cases for observability represent a strong growth opportunity for Dynatrace. And we are investing in sales and marketing initiatives across those areas. So next, I'd like to share several proof points of our go-to-market momentum from the first quarter. First, the investments we made during fiscal 2025 to align our sales coverage around strategic accounts with a higher propensity to spend is evident in the 12 7- figure ACV deals closed in the quarter. Additionally, our strategic enterprise pipeline has grown nearly 50% year-over-year. With the pipeline contribution of deals greater than $1 million, more than doubled over that time frame. Second -- we continue to see strong traction with our partner ecosystem, most notably in the growth and contribution of GSIs. Partners were involved in 10 of the 7-figure deals we closed in the quarter. And GSIs played a role in more than half of those. Our largest GSI partners ARR contribution in the first quarter has more than tripled year-over-year. And finally, the recent traction we're seeing in logs is a direct result of our broad-based sales execution in this area, combined with the investments we've made in building out strike teams to drive adoption. In Q1, our logs consumption increased 36% sequentially and well over 100% year-over-year. Given this traction, we remain confident in our ability to achieve $100 million in annualized logs consumption by the end of this fiscal year. Given the noteworthy traction of logs in the first quarter, I'd like to take a moment to discuss logs in more detail and why we believe we are positioned to win material share in this space. In particular, logs have rapidly become a core element of end-to-end observability as I mentioned before. And our third-generation platform provides the core capabilities to deliver meaningful value as customers expand in this direction. Dynatrace's log management solution has multiple advantages. By combining logs with other data types, logs actually add increased value in delivering deeper, more contextualized absorbability insights. Moreover, unlike traditional solutions, Grail does not require rehydration of logs. So they are always available and don't require manual categorization and separate complex pricing. And finally, we are able to offer our log solution at a lower cost, including unlimited querying over a fixed time window, maximizing insight while controlling spend. Once customers experience the value of our log management solution as part of their Dynatrace platform deployment, they often rapidly expand their usage. A major airline that became a customer within the last 18 months as a multi-vendor competitive takeout with end-to-end observability has now already exceeded an annualized logs consumption of several million dollars. In fact, many of our 7-figure ACV wins in the quarter were with customers looking to modernize their log management solutions, consolidating logs from multiple vendors as part of a broader end-to-end observability strategy. A Fortune 100 retailer expanded their deployment with Dynatrace to provide a precise view of the customer journey from online ordering through pickup. A global leader in logistics and transportation engage us to unify their data to reduce operating costs and increase efficiencies. And one of the largest insurance providers in North America is going all in with Dynatrace to help them improve their customer experience with our unparalleled visibility into their enterprise-wide environment. All 3 of these customers have a planned annualized logs consumption of at least $1 million. Finally, analysts continue to recognize Dynatrace as an industry leader. Last month, Gartner named Dynatrace a leader in the 2025 Gartner Magic Quadrant for observability platforms positioned highest in execution. This is the 15th consecutive year that Gartner has named Dynatrace a leader. Moreover, we ranked #1 across 4 of the 6 use cases in the 2025 Gartner critical capabilities for observability platforms report; and second, in the other 2 use cases, a very strong achievement. Plus, we were named a leader and outperformer in the 2025 GigaOm Radar for Kubernetes observability. We are proud of these achievements and committed to the ongoing innovation and customer engagement needed to earn these accolades year after year. To wrap up, the observability market opportunity is stronger than ever. We have a significantly differentiated AI-powered platform that provides the foundation for end-to-end observability, AI observability and business observability. We deliver significant customer value, and we have a compelling business model, which has enabled us to deliver a sustained balance of growth and profitability. Jim, over to you.