
Explore best practices in continuous delivery, cloud-native serverless applications, and chaos engineering to optimize time-to-value and ensure resilience in strategic workloads.

Explore Uber's strategies for maintaining reliability amid rapid growth, covering incident prevention, response, and the benefits of common frameworks in reliability engineering.

Explore the role of empathy in building resilience, covering culture, learning loops, chaos engineering, and fostering diversity and inclusion in the workplace.

Explore Chaos Engineering to enhance resilience in distributed systems. Learn practical techniques, conduct experiments, and implement resilience patterns for robust Cloud-Native Spring Boot applications.

Explore chaos engineering with Chaos Monkey for Spring Boot: setup, integration, reactive apps, project history, and live coding demonstrations.

Explore chaos engineering principles to build transparency, balance reliability with development speed, and empower teams to create resilient systems in dynamic, distributed environments.

Explore Vaurien, a TCP proxy tool for simulating network issues and testing application resilience in distributed systems.

Explore deploying SQL Server in Kubernetes: benefits, challenges, and practical implementation. Learn about orchestration, persistence, and chaos engineering for robust database management.

Explore TiKV, a distributed Key-Value database with geo-replication, scalability, and consistent transactions. Learn its architecture, implementation, and journey to becoming a self-driving database leveraging Kubernetes.

Explore BPF for analyzing kernel failures and simulating chaos in Kubernetes. Learn to develop BPF programs, conduct kernel chaos experiments, and achieve "Compile Once – Run Everywhere" on 5.x kernels.

Discover how H-E-B Curbside leveraged Linkerd to enhance security, scalability, and monitoring during the pandemic, ensuring reliable service amid increased demand.

Explore cloud-native chaos engineering using LitmusChaos and Argo. Learn to orchestrate experiments, create chaos workflows, and implement DevOps patterns for robust Kubernetes environments.

Explore key trends and challenges in cloud native app delivery, with demos of real-world practices and open-source solutions for improving Kubernetes-based application platforms.

Explore chaos engineering techniques to enhance cloud-native application performance and resilience. Learn about experiments, tools, and real-world applications to improve cluster efficiency and application SLOs.

Explore chaos engineering experiments using Linkerd and Chaos Mesh, interpreting data and applying concepts to real-life scenarios in cloud-native environments.

Explore resilience strategies for large-scale telco applications using Kubernetes and CNCF technologies. Learn from Orange's experience implementing Litmus for chaos testing and improving application reliability.

Explore GitOps for automating chaos engineering in large-scale Kubernetes deployments. Learn best practices for managing experiments across teams using LitmusChaos and FluxCD.

Explore Chaos Mesh 2.0, an open-source platform simplifying chaos engineering for cloud-native systems. Learn key features, conduct experiments, and integrate chaos testing into your workflow.

Explore how Dropbox uses Go for reliability and durability, including onboarding, chaos engineering, and real-world examples of improving system resilience.

Explore real-world event-driven microservices with Jet.com's architecture, covering lessons learned, cloud-based solutions, and the benefits of F# in developing a robust platform.

Explore how embracing chaos and stress in sociotechnical systems can lead to improved software development through case studies, personal stories, and code examples.