Observability Unplugged: Real Talk with Dynatrace

When Dynatrace met OpenTelemetry inside the same container, things got messy. In this episode, we break down the real story behind the dual instrumentation issue at Infosys — how two monitoring layers collided, why builds failed, and what we learned about balancing visibility with performance.We also explore how unified telemetry pipelines and smarter observability design can prevent these problems for any engineering team running large Kubernetes environments.

Ever wished your IT ops could predict problems before they hit, or adjust resources before things run out? In this episode, we dive deep into how Dynatrace’s Davis AI is changing the game with causal correlation and forecast analysis. We’ll break down how Davis uses real data and context to trace back to root causes—not just guessing, but showing exactly why something went sideways. And it doesn’t stop there.We’ll also explore how Davis AI can see into the future—forecasting demand, resource needs, and system behavior—so your team isn’t always firefighting, but actually preventing issues before they start. Think of it as moving from reactive to truly proactive IT, with smarter capacity planning and less stress all around.We talk real use cases, from keeping Kubernetes disks right-sized to automating capacity upgrades, and how predictive AI is making day-to-day IT smoother for everyone. If you’re looking to get beyond old-school alerts and get actionable, context-rich insights for your IT, DevOps, or SRE team, this one’s for you.Tune in for simple explanations, practical stories, and a look into how you can make AI work for your IT, not the other way around. Let’s get future-ready—together!

Anomaly detection is the heartbeat of modern observability—yet most teams are still drowning in alert noise or missing what really matters. In this episode, we break down the evolution from old-school threshold-based monitoring to AI-powered, context-aware anomaly detection with Dynatrace.Join us as we decode how multi-dimensional baselining, adaptive thresholds, and proactive insights are helping teams cut through the noise, reduce alert fatigue, and focus on what truly impacts the business. Whether you’re a seasoned SRE, an application owner, or just observability-curious, you’ll walk away with practical strategies and real-world stories to sharpen your monitoring game.For FAQs: https://community.dynatrace.com/t5/Alerting/FAQs-Dynatrace-Anomaly-Detection/td-p/281447

The episode covers Dynatrace's infrastructure monitoring capabilities, detailing how it provides end-to-end observability across diverse cloud and hybrid environments. Speakers explain the platform's ability to automatically discover and map infrastructure components, collect real-time metrics, and perform AI-driven root-cause analysis using its Davis AI engine. Furthermore, the speakers highlight key use cases such as performance optimization, cloud cost reduction, and outage prevention, emphasising how Dynatrace integrates log analysis and provides unified dashboards and alerts to streamline operations. The speakers also touch upon the system's architecture, including OneAgent and ActiveGate, and underscore its business value in terms of reduced downtime, operational efficiency, and enhanced resource utilization.