Webinars on demand

In this webinar you will learn how to prevent user impact with availability monitoring, fix issues quickly using AI-powered answers, and optimize user experiences through performance and analytics. Why AI and automation at the core of Dynatrace deliver answers into exactly where and why users are impacted by back-end issues and application performance.Why it’s mission-critical to take a comprehensive approach to improve user experiences and what the market-leading all-in-one platform can do for you.

During this Performance Clinic Kristof Renders, Global Architect Dynatrace Service, will go over best practices around Monitoring as a Service - a subset of Autonomous Cloud Management (ACM). He will show you how you can leverage metadata for tagging and naming your hosts and processes; how to push more context to Dynatrace when you do deployment and configuration changes and how you can use that information to shorten your MTTR.

In this webinar, we show you a reference implementation for Performance as a Self-Service through the open-source project Keptn and NeoLoad. During this webinar, you will learn: How to create your pipeline using Keptn How to structure load testing assets within your source control How to run tests and quickly receive feedback

In this webinar, you will see how Dynatrace auto-discovers your cloud infrastructure, provides details with log monitoring, process and container monitoring and PaaS layer (e.g. Kubernetes) monitoring and spots problems and their root cause in real-time with the Davis AI engine.

In this webinar Roman Spitzbart, Sr Director Sales Engineering EMEA at Dynatrace, will show you how Dynatrace can help you to simplify operations using AI to determine root-cause analysis, in real-time so your organization can optimize its infrastructure, reduce the amount of tickets and noise and increase development productivity.

Kubernetes is now the standard platform for running and managing containerized workloads in distributed environments. While Dynatrace has had support for containerized platforms such as Kubernetes, OpenShift or CloudFoundry for a while we are constantly expanding our monitoring capabilities, insights and use cases we build on top of data our OneAgent and Kubernetes plugins capture. In this session Alois Mayr, Technical Product Manager at Dynatrace, will give us an advanced deep dive into how to monitor Kubernetes with Dynatrace. You will learn about the latest enhancements around Kubernetes events ingestion, how that feeds into the Dynatrace Davis AI and learn how to best setup and automatically rollout monitoring for k8s with Dynatrace

In this Performance Clinic; Matthias Scholze, CEO of QMETHODS, will demonstrate Versio.io, a Dynatrace API based solution to extract and historicize Dynatrace data. Matthias will demo Versio.io’s key use cases such as Instance history viewer, operations diary, governance, compliance, risk and more. Join to learn how Versio.io is using the Dynatrace Smartscape, Timeseries, Events and Problem API and let it inspire you to build your own extensions and integrations.

In this Performance Clinic, Brayden Neale, Guardian Consultant at Dynatrace, will give us an update on how to leverage the Dynatrace APIs and ActiveGate Plugin extensions to extend Dynatrace’s monitoring capabilities to cover network infrastructure components or IoT devices. Join this session to learn how to develop custom extensions, leverage APIs and use SNMP to begin monitoring of any arbitrary appliance.

In this session, Michal Dec, Technical Product Manager, does a deep dive hands-on monitoring session of the first version of Dynatrace’s Oracle Database Insights monitoring. He will show you how to use additional infrastructure data to resolve problems related to Oracle databases.

In this Performance Clinic; Sonja Chevre, Technical Product Manager at Dynatrace, will look at how Dynatrace automatically traces transactions between services for most technologies and what value we get out-of-it. We will discuss challenges of distributed tracing in today’s highly dynamic microservices and cloud-based environment.