Webinars on demand

In Episode 3, Sergio Hinojosa focuses on Automated Release Comparison. We will learn the foundations of Load Test Analysis with Dynatrace. We will compare failed releases that did not pass the Quality Gate due performance degradations. We will show how easy it is to compare functional performance tests with each other learning how Dynatrace can pinpoint the degradations up to code-level through the application stack. We will even decompile the code to understand the root cause of a bad implementation whether it is a bad algorithm or thread synchronization issue. Register now

In this Performance Clinic Henrik Rexed, Cloud Native Advocate at Dynatrace, will explain how Dynatrace is securely scraping data from Prometheus, scaling without adding extra load to your Prometheus server and connecting the Prometheus data with Smartscape topology.

In this Performance Clinic Michal Dec, Sr. Technical Product Manager, will walk us through Dynatrace’s log monitoring and analytics capabilities with a specific focus on k8s and cloud-native architectures. You will learn about the different use cases for your Cloud Ops, SREs and development teams that Dynatrace’s Davis AI enables in your hybrid cloud environments.

In Episode 2, Sergio Hinojosa, focuses on automating the testing and evaluation of your code in your dev & test environment. Sergio has extended his CodeLabs with Automated REST API Testing and Automated Dynatrace data analysis through Intelligent SLO-based Quality Gates. This episode will help you level up your quality gates on every code commit.

In this Performance Clinic Christian Schram, Mgr Sales Engineering at Dynatrace, will introduce you on how to capture custom data from a Mainframe application on top of what is provided by the Mainframe agents automatically. This allows you to leverage business related Mainframe data in the Dynatrace platform.

This Performance Clinic gives an in-depth insight into Dynatrace capabilities to get automated observability into serverless functions. Gernot Reisinger and Thomas Rothschaedl walk you through the journey of Dynatrace OneAgent deployment, integration to Dynatrace real user monitoring to cold start detection and other operations and optimization use cases.

In this webinar, guest speaker Aurelie L’Hostis, Senior Analyst at Forrester, will look at the current state of digital transformation, the trends that have impacted and driven this change, and how banking leaders are adopting this transformation ahead of time to keep up with the pace of change.

In this webinar, guest speaker Massimiliano Claps, Research Director at IDC Government Insights and Jason Tooley, VP EMEA Sales at Dynatrace analyze the growing digital presence in the UK Public Sector and the trends leading the change.

In this webinar, guest speaker Michelle Beeson, Analyst at Forrester, will outline the key customer and competitor trends that are driving retailers and brands to rethink their business models and customer engagement strategies.

In Episode 1 of this Performance Clinic Series, Sergio Hinojosa, DevOps Fanatic at Dynatrace, shows you hands-on on how you can use Dynatrace in your development & test environments to automate observability and analysis of your applications & services. We will learn how to analyze problematic transactions in complex & hybrid distributed systems. We will dive into easy access of your distributed traces (we call them PurePaths) and how Dynatrace automatically shows the hotspots so that you can easily optimize or fix them.

In this Performance Clinic Imran Khan, Consultant of the Dynatrace Expert Services, will share how to harness the observability, incident, root cause and impact data from Dynatrace Davis AI through the Dynatrace API. He will show you how to integrate this data with PowerBI providing a tool for better risk assessment of IT changes. With a few simply steps you can show trends, patterns, analyze top root causes and more to make better decisions on every incoming change request.

In this Performance Clinic, we'll explore: what should I dashboard today in the age of AIOps? what makes a good dashboard? new dashboard features, including Explorer, Dashboard Presets, and SLO tiles; deploying bespoke dashboard packs with the BizOpsConfigurator; and how we're driving visualizations forward with experimental Dashboard PowerUps.

Site Reliability Engineering (SRE) helps organizations bridge Dev and Ops by leveraging Service Level Objectives (SLOs) and Error Budgets to track and manage the resiliency of applications, services and infrastructure as they get pushed through the DevOps delivery pipelines. Dynatrace comes with a native support for SLOs as defined in Googles SRE Best Practices as part of our Dynatrace Cloud Automation Solution. Join this Performance Clinic where Brian Chandler will show you how to get started with SLOs in Dynatrace. You will learn how to setup your own SLOs, how to use them for reporting and how the SLO error budgets help you make better decisions when it comes to releasing new configuration or code changes. Make sure to bring your questions as we will open up for public Q&A at the end of the sessions.

As organizations move to more frequent releases of more services, it’s important to give an automated answer to the question: Release or not to Release? In this Performance Clinic, Andreas Grabner will show you how Dynatrace integrates into your existing progressive delivery tools (Jenkins, GitLab, Harness, Keptn, Azure DevOps …) to extract real-time deployment meta data about which version of your apps & services are deployed in which environment, which versions have known issues and where is it safe to deploy a new version without violating your SLAs, SLOs or Error Budgets. Make sure to bring your questions as we will open up for public Q&A at the end of the sessions.

As developers gain responsibilities through practices such as GitOps and SRE, their ability to configure observability – and keep it up to date with evolving requirements – becomes a cornerstone for successful organizations. Configurations such as SLIs (Service Level Indicators), SLOs (Service Level Objectives), dashboards and alerting rules are left to be created separately, and often manually. In this session, Kristof Renders (Autonomous Cloud Enablement Practice Manager) will walk us through on how organizations can offer true Monitoring as a Self-service to their teams and employ a GitOps approach to observability using Dynatrace’s open source Monitoring as Code (Monaco) – empowering developers to get observability based on their needs!

Dynatrace is the tool of choice for most Performance Engineers as it gives you auto.mated test context specific performance analysis of all data captured by the OneAgent from the “System under Test”. Many performance engineers also use JMeter to drive load against applications but struggle to analyze JMeter results as there is no good built-in analysis capability which forces many to send data to external tools. In this session you learn how to integrate JMeter with Dynatrace including tagging requests and automatically streaming JMeter performance metrics to Dynatrace. This gives you ALL YOUR performance data in a single location, fully connected allowing you to truly automate performance analysis. You also learn how Keptn can be used to orchestrate the test execution and test analysis as the final step to Performance as a Self-Service.