
Learn to efficiently build and scale private Azure DevOps agents using virtual machine scale sets, optimizing costs and performance for your CI/CD pipelines.

Discover the power of unit testing in software development. Learn key concepts, best practices, and implementation techniques to enhance code quality and reliability.

Explore strategies to accelerate software delivery, overcome technical debt, and make informed decisions using tools like AHP and Pugh matrix. Learn to balance quality and efficiency in DevOps.

Explore Kubernetes Gateway API: its evolution, components, and advantages over Ingress. Learn implementation strategies and discover its potential for service mesh management.

Explore software factories' potential to revolutionize development, from onboarding to unified workflows, through real-world experiments and practical insights.

Explore DevOps transformation from a CTO's perspective, covering mindset, tools, trust, organizational behavior, and strategies for successful implementation.

Explore chaos engineering with eBPF, enhancing resilience in Kubernetes. Learn advanced techniques, AI integration, and practical experiments for robust system design and security.

Explore leveraging generative AI for chaos engineering in complex enterprises. Learn to enhance testing, analyze dependencies, define steady states, create hypotheses, and design experiments for improved system resilience.

Explore chaos engineering war games to enhance system resilience. Learn strategies for stakeholder engagement, tabletop exercises, and environment-based simulations to prepare for unexpected scenarios.

Explore chaos engineering in cloud environments, focusing on AWS resilience strategies, fault injection simulators, and new cross-region and AZ availability scenarios. Gain practical insights and best practices.

Explore frameworks for testing Apache Airflow data pipelines, covering local development, CI/CD, validation, unit tests, and integration tests. Includes a practical demo and key takeaways.

Optimize AWS DevOps using Python and machine learning techniques for efficient cloud infrastructure scaling and performance improvement.

Explore WebAssembly's potential in cloud computing. Learn to build serverless apps with Python and Spin, understanding WASM's benefits and its impact on cloud architecture.

Explore modernization pathways from monoliths to microservices using AWS App2Container and Amazon Q. Learn containerization techniques, refactoring with GenAI, and practical demos for cloud-native transformation.

Explore challenges and solutions for building cloud-agnostic and multi-tenant applications. Learn design principles, architecture strategies, and best practices for scalable, flexible cloud-native solutions.

Explore AI-driven observability in Netdata, comparing traditional monitoring with innovative approaches. Learn about distributed monitoring, anomaly detection, and future ML developments for enhanced system insights.

Explore AWS observability maturity, from reactive to autonomous stages. Learn implementation guidelines, best practices, and future trends in cloud-native observability.

Explore cloud native concepts, GraalVM, and native image building. Learn scalability, cost reduction, and performance optimization techniques for microservices frameworks in the JVM ecosystem.

Explore event-driven architectures for cloud workflows, covering core concepts, patterns, and best practices. Learn when to use choreography and orchestration, and see a practical demo.

Explore event-driven architecture principles, benefits, and challenges. Learn about governance, event design, asynchronous thinking, and practical implementation strategies for building robust systems.

Explore WebAssembly's potential to revolutionize cloud computing, from its bytecode format to its impact on multitenancy and Kubernetes integration.