Serverless adoption is increasing and it brings with it a lot of benefits for cloud-native practitioners. However, it also introduces observability challenges, particularly with serverless functions. In this power demo, we will show you how to overcome these challenges and more. In this power demo, you will learn how to: • Overcome these serverless observability challenges with Dynatrace Monitoring for AWS Lambda • Gain end-to-end visibility into distributed traces involving serverless functions • Understand impact the end user through Real User Monitoring integration • Optimize performance for cold-start functions • Use Dynatrace Davis AI to automatically find the sources of errors and bottlenecks
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.