SaaS Upgrade Assistant: Migrating from Managed to SaaS Environments - Dynatrace App Spotlight
Migrate Managed environment configurations to SaaS with the SaaS Upgrade Assistant. Learn key features and watch a complete end-to-end upgrade scenario demonstrated by a Dynatrace expert.
Infrastructure and Operations App - Dynatrace App Spotlight Demo
Explore Dynatrace's Infrastructure and Operations app, providing ITOps and SRE teams with comprehensive environment monitoring, problem detection, and root cause analysis capabilities.
Databases App: DBA Insights Across All Databases - Dynatrace App Spotlight
Explore Dynatrace's new Databases app, offering DBA insights across all databases. Learn about integration, database instance insights, behavior analysis, query performance, and AI-detected anomaly reactions.
Discovery and Coverage - New Dynatrace App for Enterprise-Wide Observability
Explore Dynatrace's new Discovery & Coverage app and Foundation & Discovery OneAgent mode for enhanced observability and security management across heterogeneous ecosystems.
CSPM Notification Automation with Dynatrace - Analyzing and Reducing AWS Security Alerts
Automate AWS Security Hub alerts analysis, reducing 400k daily alerts to 3 actionable tickets. Learn to implement this efficient triage system using Dynatrace's workflow capabilities.
What's New in Dynatrace - Release 1.279
Explore Dynatrace v1.279 updates: enhanced monitoring, Grail integration, increased limits, new APIs, and improved features for infrastructure, DQL, JavaScript, and team management.
What's New in Dynatrace - Release 1.277
Explore Dynatrace v1.277 updates: enhanced dashboards, Kubernetes features, improved problem management, Grail buckets, security policies, and custom bucket use cases with live demo.
Site Reliability Guardian (SRG) - October 2023 Update: Automating Change Impact Analysis
Explore Dynatrace's Site Reliability Guardian updates: templates, variables, and heatmap visualization for automated release validation and change impact analysis. Essential for SREs, DevSecOps, and Platform Engineers.
Observing GraalVM Native Images with Dynatrace
Discover how Dynatrace enables comprehensive observability for GraalVM Native Image applications in cloud-native environments, including end-to-end distributed tracing and performance optimization.
Unit Testing Framework for n8n - Prague Meetup Preview
Explore an early preview of a unit testing framework for n8n, showcasing its potential to enhance workflow development and testing capabilities.
Scaling Live Service Games on the Cloud with Google Kubernetes Engine
Build dedicated game server environments with Google Kubernetes Engine for fully managed, resilient, cost-effective, and flexible next-generation servers.
Building AI Security In - MLSecOps in Practice
Learn to secure AI and ML systems by integrating security into the Machine Learning lifecycle, leveraging DevSecOps principles to create a robust MLSecOps framework.
Orchestrating Secure Development Lifecycles in the Cloud
Explore cutting-edge approaches to orchestrate Secure Development Lifecycles in the Cloud, addressing challenges and implementing automation for efficient scaling.
Parallelizing Your ETL with Dask on Kubeflow
Leverage Dask's parallelism capabilities on Kubeflow for advanced ETL processing. Learn to use the Dask Operator to optimize resource utilization in interactive Jupyter sessions and pipeline workflows.
The Critical Missing Component in the Production ML Stack - Data Logging for AI Applications
Discover how to enable data logging for AI applications, enhancing testing, monitoring, and debugging. Learn best practices to supercharge MLOps in your team.
End-to-End MLOps for Computer Vision
Explore end-to-end MLOps for Computer Vision, from data gathering to model monitoring. Learn to implement ML pipelines using tools like Amazon SageMaker, Kubernetes, Kubeflow, and MLFlow.
The Ops in MLOps: Creating Cost-Effective and Compliant ML Environments
Explore techniques for creating cost-effective, secure, and compliant ML environments with proper data governance in MLOps.
Deploy High Scale ML Models Without the Hustle
Learn to build and operate production-grade ML systems, from model training to deployment and monitoring, using the Qwak platform for efficient, high-scale solutions.
Deploying Model Artifacts in Hard Mode
Automate and streamline complex model deployment processes across multiple products. Learn strategies for overcoming documentation gaps, ambiguous terminology, and legacy systems in a collaborative remote environment.
Building an ML Platform from Scratch
Develop a customizable ML platform using open-source tools. Learn to integrate Cookiecutter, DVC, MLFlow, KFServing, and more for a flexible solution tailored to your organization's needs.
Automatic ML Model Containerization: Best Practices and Tools
Explore best practices for containerizing ML models for production inference. Learn about secure, multi-tenant image builds, avoiding lock-in, and tools like chassis.ml and Open Model Interface for seamless integration.