MLOps at Acerta - Automating the Machine Learning Lifecycle for Manufacturing
Automate the machine learning lifecycle for manufacturing, enhancing efficiency, scalability, and reproducibility. Learn to build a robust MLOps platform for production-grade systems.
Creating Machine Learning Retraining Pipelines with Kubeflow and Kubernetes
Develop ML retraining pipelines using Kubernetes and Kubeflow. Master advanced techniques for efficient model updates and deployment in production environments.
The Ops in MLOps - Cost Predictive, Security Compliant, and Data Governance Techniques
Explore techniques for creating ML environments with cost predictability, security compliance, and proper data governance. Focus on the often-overlooked Ops components of MLOps.
From Concept to Production: Template for the Entire ML Journey - Part 1
Develop a production-ready ML pipeline from concept to deployment using Python. Gain hands-on experience with data prep, model training, and deployment on Google Cloud Platform.
Unlock the Power of MLFlow with Multi-Cloud Compute Infrastructure
Harness MLFlow's potential using multi-cloud compute infrastructure. Learn integration techniques, architectural considerations, and scaling strategies for effective ML training and deployment across clouds.
What's New in Dynatrace - Release 1.290
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.
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.
Anomaly Detection on 5 Pillars of Data Observability with Dynatrace Davis AI
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.
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.
What's New in Dynatrace - Release 1.295
Explore Dynatrace v1.295 updates: enhanced DQL queries, improved dashboards, new log ingestion features, maintenance window improvements, and expanded Kubernetes container properties.
Elevating Security with Dynatrace Davis Anomaly Detection
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.
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.
Unlocking the Power of Platform Engineering with Dynatrace's New Kubernetes Experience
Explore Dynatrace's platform for Kubernetes management, featuring automated workflows, diagnostics, and optimization tools. Gain insights to streamline containerized environments and enhance application reliability.
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.
Developer Observability - Automated Diagnostics - Part 1
Explore automated diagnostics in Dynatrace for efficient code execution, root cause analysis, and problem detection in distributed environments. Learn to leverage observability data effectively.