DevOps for Java Developers - Debunking Myths and Exploring Benefits
Explore the controversial relationship between Java developers and DevOps, examining arguments for and against its adoption in software deployment practices.
Connecting Data Scientists to Production with the Tempo Python SDK
Prepare and test machine learning models locally, then deploy them to production using Tempo Python SDK. Bridge the gap between data scientists and DevOps for faster, more reliable model deployment.
Production Machine Learning Monitoring: Outliers, Drift, Explainers and Statistical Performance
Dive deep into advanced ML model monitoring techniques, including outlier detection, concept drift, explainability, and performance metrics for robust production deployments.
Productionize with Kubeflow Orchestration and Feast in GCP - Workshop
Develop a machine learning framework using Kubeflow, Feast, and Kafka in GCP. Learn to manage data features, serve endpoints, and monitor model performance with Grafana for real-time and batch predictions.
Production ML Serving and Monitoring with Kubernetes
Gain insights into building an MLOps deployment platform using Kubernetes, integrating key technologies for serving and monitoring complex deep learning models.
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.
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.
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 1.295
Explore Dynatrace v1.295 updates: enhanced DQL queries, improved dashboards, new log ingestion features, maintenance window improvements, and expanded Kubernetes container properties.
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.
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.
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.
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.
From Concept to Production: Building a Production-Ready ML Pipeline - Part 2
Develop a production-ready ML pipeline from concept to deployment using Python, Kubeflow, and Google Cloud Platform. Master data prep, model training, and orchestration techniques.
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.
The Observability Guide to Platform Engineering - Platform Observability and Success KPIs - Part 1
Explore Internal Development Platforms (IDPs) architecture, success KPIs, and observability practices. Learn to measure adoption, define SLOs, and implement metrics for efficient platform engineering.
TTP-based Threat Hunting with Security Analytics and Falco Alerts
Explore attacker techniques and defender strategies using Unguard. Learn to conduct reconnaissance, gain access, and achieve persistence. Discover how to detect compromises with Dynatrace and Falco for real-time monitoring and forensic analysis.
Introduction to Dynatrace: Platform Overview and Hands-On Tutorial
Explore Dynatrace's AI-powered platform for monitoring and optimizing applications, infrastructure, and user experience. Gain hands-on experience with key features and use cases.
The Observability Guide to Platform Engineering - Observing and Analyzing Backstage, Argo, Git - Part 2
Explore observability for Internal Development Platforms. Learn to monitor and analyze Backstage, Argo, and Git using Dynatrace. Gain insights on end-to-end self-service, issue analysis, and automation.
What's New in Dynatrace - Release 1.281
Explore Dynatrace v1.281 updates: SAML migration, OneAgent masking, DQL enhancements, sustainable IT features, and CI/CD pipeline automation for improved cloud monitoring and optimization.
What's New in Dynatrace - Release 1.287
Explore Dynatrace v1.287 updates: AppSec event deprecation, K8s enhancements, email notifications for new sign-ins, and OpenTelemetry syslog integration. Gain insights through live demos and expert explanations.