
Discover effective cloud infrastructure management techniques using Terraform and Terragrunt, focusing on team development practices, common pitfalls, and practical solutions for infrastructure as code implementation.

Learn to build and orchestrate serverless generative AI applications using AWS services like Amazon Bedrock and Step Functions. Explore integration techniques, error handling, and human feedback loops in AI workflows.

Explore a secure, scalable AWS serverless solution using Bedrock for generative AI tasks. Learn architecture, deployment, cost estimation, and advanced features for efficient platform engineering.

Explore effective cloud governance strategies with experts, covering cost-efficiency, performance, and security. Gain practical insights for implementing robust cloud management across your organization.

Discover key steps for designing successful cloud architecture, aligning with business goals, and optimizing app performance for long-term growth and revenue boost.

Explore real-life cases and best practices for resolving high cloud service costs, designing cost-efficient environments, and building transparency among teams.

Explore serverless PostgreSQL's automatic scaling, rapid startup, and microVM implementation. Learn about compute-storage separation and connection management for modern stateless applications.

Discover private endpoints' basics, deployment, and security benefits for cloud platforms. Avoid common mistakes and enhance your infrastructure's safety.

Explore real-world architectures for SaaS solutions on Azure SQL Database, from small-scale to millions of tenants. Learn multi-tenancy models and apply them to your scenarios.

Discover techniques for managing cloud costs through architecture, monitoring, and optimization. Learn best practices for data engineers to control expenses effectively.

Explore a comprehensive checklist for migrating data solutions to the cloud, covering planning, evaluation, discovery, assessment, architecture, costs, migration, and post-migration steps.

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

Discover how effective governance can significantly reduce cloud project costs and transform limitations into enablers for success.

Explore strategies for autoscaling Confluent Cloud resources. Learn when and how to implement scaling for cloud-based Kafka, handle ephemeral workloads, and create effective monitoring policies for optimal performance.

Explore the architecture and design of a real-time analytics platform, featuring sub-second latency, cloud-native services, and CDC streams for efficient data processing and customer insights.

Explore architectural components of modern Internal Developer Platforms on Azure. Learn design principles, interaction patterns, and solutions for common challenges in enterprise-grade setups.

Explore Digital Turbine's migration to Google Cloud, enhancing automation, security, and resiliency while facilitating AI integration and product improvements.

Explore mission-critical application architectures from Egnyte and Cruise, learning key design principles for resilient systems on Google Cloud.

Optimize cloud architecture for sustainability using Google Cloud tools and AI capabilities, featuring L'Oreal's global sustainability program.

Design efficient, secure networks for distributed cloud apps across regions, enhancing performance and reliability. Explore modern architectures, product demos, and case studies.

Explore open source private cloud solutions, focusing on OpenStack and Kubernetes integration. Learn about IaaS, PaaS, and specialized platforms for modern application delivery and AI/ML workloads.