What's New in Dynatrace - Release 1.289
Explore Dynatrace v1.289 updates: breaking changes, platform enhancements, AppSec features, infrastructure improvements, and application observability advancements through live demos and detailed explanations.
How to Effectively Upgrade from Dynatrace Managed to SaaS
Learn to upgrade from Dynatrace Managed to SaaS using the SaaS Upgrade Assistant and Remote Configuration Management. Explore configuration export, import, and OneAgent migration in a live demo.
AI-Driven Analytics and Automation for Unified Observability and Security
Unify observability, security, and business data with AI-powered insights and automation for cloud-native and multi-cloud environments. Explore platform features through a live demo.
Cloud Platform Observability: Streaming Logs from AWS Firehose to Dynatrace
Integrate AWS Firehose logs with Dynatrace Grail for AI-powered observability. Learn setup, analysis, and multi-cloud log management to mitigate issues and enhance security.
What's New in Dynatrace - Release 1.291
Explore Dynatrace v1.291 updates, including Red Hat automation, enhanced privacy controls, DQL improvements, Grail-based anomaly detection, and Amazon SNS monitoring enhancements.
Boundless Analytics Powered by DQL and Grail - Live Demo and Production Insights
Explore Grail and DQL's advanced capabilities for data analysis, including schema-on-read, real-time parsing, and joining diverse data types to streamline operations.
A Practical Guide to SQL Extensions with Dynatrace - Hands-on Tutorial
Extend observability into database data using SQL queries with Dynatrace's framework. Learn to build extensions for various databases through a hands-on tutorial and practical demonstration.
Dynatrace Extensions 2.0 for Visual Studio Code - Tutorial and Live Demo
Extend Dynatrace's observability capabilities using Extensions 2.0 framework. Learn to develop, test, and manage extensions with the new Visual Studio Code Add-On through a hands-on Apache Kafka example.
What's New in Dynatrace - Release 1.278
Explore Dynatrace v1.278 updates: new documentation design, Kubernetes ownership features, enhanced OS monitoring, DQL functions, AppSec events, and security dashboards. Includes live demos and resource links.
Dynatrace Automation Workflow Best Practices - Tips and Tricks
Discover best practices for Dynatrace Workflows automation, including task looping, Jinja expressions, and integrating external data with DQL queries. Learn from real-world financial sector examples.
Building Self-Service Power Dashboards with RUM, Grail, and External Data - Dynatrace Tips and Tricks
Learn to create dynamic self-service dashboards combining Dynatrace RUM, Grail, and external data. Master dashboard structuring, data querying, and variable usage for effective visualization.
Jenkins Pipeline Analytics with OpenTelemetry - Dynatrace Tips and Tricks
Optimize Jenkins pipelines and infrastructure using OpenTelemetry for analytics. Identify root causes of failing or problematic jobs, stages, and steps to enhance engineering productivity.
A Practical Guide to JMX Monitoring with Dynatrace
Explore JMX monitoring with Dynatrace, learning to create extensions using Visual Studio Code Add-On. Master capturing JVM metrics, displaying unified analysis, and implementing automated alerting.
What's New in Dynatrace - Release 1.273
Explore Dynatrace v1.273 updates, including new features and improvements. Learn about the latest enhancements to optimize your monitoring and observability capabilities.
Mastering Kubernetes Resiliency and Costs with Dynatrace
Optimize Kubernetes cluster costs, enhance resiliency, and leverage Dynatrace for effective monitoring. Learn resource allocation, auto-scaling, and observability best practices through live demos and real-world scenarios.
MLOps with Orchestration: Accelerating Deployment of AI - Workshop Sessions
Accelerate AI deployment with MLOps orchestration. Learn to integrate tools, streamline processes, and handle complex use cases for efficient ML application development and continuous delivery in production environments.
Next-Gen AI Processors and Why We Need to Think Differently About Software 2.0
Explore next-gen AI processors, computational challenges in machine learning, and innovative approaches to efficient processing beyond traditional GPU solutions.
Building Pipelines with Kubeflow - Hands-on Workshop
Discover Kubeflow pipelines: create environments, build and upload pipelines, and set up retraining schedules in this hands-on workshop for MLOps practitioners.
Complete ML Lifecycle with MLflow - Learn Its Four Components
Explore MLflow's four components to simplify the machine learning lifecycle, from experimentation to production, enhancing reproducibility and accelerating development.
Introduction to Drifter ML: A Testing Framework for Machine Learning Models
Explore Drifter-ML, a testing framework ensuring ML models meet training assumptions. Learn motivations and practical examples for model testing.
Monitoring Azure Functions with Dynatrace
Explore Azure Functions monitoring with Dynatrace, covering AppService and Consumption plans. Learn to optimize serverless computing performance and integrate systems effectively.