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.
You are asked to automate problem remediation based on Dynatrace detected problems to ensure your system stays within your defined SLOs but you don’t know yet how to achieve this? Then join this session where Andreas Grabner will show you how to setup an automated problem remediation workflow using Keptn in 5 Minutes. You will learn how to let Dynatrace send specific problems to Keptn, how to configure your remediation workflow and how Keptn then executes your Python, Bash Scripts, Webhooks or any other action to bring your system to a healthy state. You will also learn how Keptn not only executes remediation actions but also validates each remediation on whether it was successful or not by observing your relevant SLIs & SLOs.
Digital transformation continues to accelerate. This is happening in dynamic multicloud environments. While helping organizations deliver successful business outcomes, these environments introduce new challenges: - IT complexity: Today’s IT environments bring a scale and frequency of change that is exponentially greater than that of the old data-center world. - Lack of visibility: Traditional tools and manual attempts to interpret millions to billions of data points result in major blind spots. - Increased user expectations: To maintain productivity, collaborate efficiently, and meet customer and business demands, teams need to transform how they work. In this webinar, Dynatrace and ServiceNow execs will describe how the enhanced-bidirectional integration between their platforms helps solve these challenges, delivering closed-loop, automated IT Operations Management (ITOM) workflows with AI-assistance to provide smarter answers and precise topology and service mapping for multicloud environments. With deep observability from Dynatrace and automated workflow and configuration data from ServiceNow, this partnership provides customers with problem identification and root-cause analysis, as well as remediation and confirmation of resolution. This helps transform how digital teams work, enabling them to accomplish more with less time, resources, and money.