
Explore Dynatrace v1.290 updates: DQL enhancements, platform dashboard improvements, .NET support, new Vulnerabilities app, and K8s monitoring advancements for cloud-native full-stack mode.

Explore Dynatrace v1.289 updates: breaking changes, platform enhancements, AppSec features, infrastructure improvements, and application observability advancements through live demos and detailed explanations.

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.

Explore Dynatrace Davis AI's anomaly detection for data observability pillars: freshness, distribution, volume, schema, and lineage. Learn automation techniques for alerting and monitoring data integrity.

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.

Explore Dynatrace v1.295 updates: enhanced DQL queries, improved dashboards, new log ingestion features, maintenance window improvements, and expanded Kubernetes container properties.

Explore Davis AI's anomaly detection strategies for enhanced security. Learn to apply static, auto-adaptive, and seasonal baselining to efficiently detect threats and analyze abnormal authentication requests.

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.

Explore Dynatrace v1.291 updates, including Red Hat automation, enhanced privacy controls, DQL improvements, Grail-based anomaly detection, and Amazon SNS monitoring enhancements.

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.

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.

Explore Dynatrace's platform for Kubernetes management, featuring automated workflows, diagnostics, and optimization tools. Gain insights to streamline containerized environments and enhance application reliability.

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.

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.

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.

Explore automated diagnostics in Dynatrace for efficient code execution, root cause analysis, and problem detection in distributed environments. Learn to leverage observability data effectively.

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.

Explore Dynatrace v1.275 updates: new DQL commands, infrastructure features, SQL bind value capturing, and PagerDuty integration for workflows. Enhance your monitoring capabilities.

Optimize Jenkins pipelines and infrastructure using OpenTelemetry for analytics. Identify root causes of failing or problematic jobs, stages, and steps to enhance engineering productivity.

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.

Explore Dynatrace v1.273 updates, including new features and improvements. Learn about the latest enhancements to optimize your monitoring and observability capabilities.