
Explore moving authorization from code to a readable, accessible place using Open Policy Agent and Apache APISIX API Gateway for improved system auditability.

Optimize database concurrency and performance by understanding and leveraging transaction isolation levels in Azure SQL Database and SQL Server.

Explore the machine learning lifecycle and operationalize models using Databricks Machine Learning, focusing on scaling deployments with MLOps for company-wide implementation.

Explore Kubernetes autoscaling and high availability strategies, including scheduling, load balancing, and HA implementation in large-scale clusters.

Discover the latest advancements in Microsoft SQL tools and enhance your database management capabilities with insights from the product group.

Deploy Azure data solutions securely using Infrastructure as Code. Learn maintenance techniques, see a live demo, and access downloadable code for a quick start.

Modernize your data estate with SQL Server containers in Kubernetes. Learn to build a hybrid data estate for flexible deployment options.

Deploy OpenShift on Nutanix stack: Learn benefits, solutions, and interactions. Experts showcase deployment process, prerequisites, scaling, storage configuration, and database deployment.

Explore computer vision use cases on OpenShift, from data collection and annotation to model training and deployment, with practical demonstrations on cars and trains detection.

Master Kubernetes for data engineering: set up, deploy dashboard, run Apache Airflow with Helm charts. Learn kubectl, manage clusters, and optimize workflows for scalable data processing.

Implement CI/CD for modern data engineering using Azure and Terraform. Automate infrastructure, storage, and data factory deployment with hands-on guidance and practical examples.

Automate SQL Server change data capture into Event Hub using Debezium. Learn to streamline data transfer for serverless architectures.

Implement a framework for data quality validation and monitoring across your end-to-end data platform, including Power BI, Databricks, and Synapse Analytics.

Tackle challenges in obtaining quality data for test, QA, and CI practices to improve efficiency and reduce failed releases while ensuring compliance.

Explore strategies for migrating customers and internal teams to Kubernetes, focusing on best practices and real-world experiences.

Explore challenges and solutions for running efficient planet-wide computer systems, focusing on scalability and performance optimization techniques.

Explore Kubernetes automation: compare Operators and Helm Charts for efficient cluster management and application deployment strategies.

Explore distributed transactions beyond traditional approaches, delving into innovative solutions for managing complex data operations across distributed systems.

Explore proven engineering methodologies to maximize team autonomy, align business boundaries, and boost productivity in product development and data processing.

Explore modern telemetry for cloud-based distributed systems, covering observability pillars, AWS services, OSS integration, and reference architectures for enhanced monitoring.

Explore chaos engineering principles and AWS Fault Injection Simulator to build resilient cloud systems through controlled experiments and automated stress testing.