
Explore successful Kubernetes development workflows in enterprise, startup, and open-source settings. Learn to set up dev clusters, manage configs, automate feedback loops, and streamline deployment processes.

Explore eBPF programming with Go through live coding examples. Learn about kernel-level programs, syscalls, maps, and custom event attachments for enhanced Linux observability and security.

Explores how software architects can leverage organizational structure as a tool for effective architecture, emphasizing collaboration, support, and cultural considerations in modern software development approaches.

Explore platform engineering as a community service, focusing on building effective platforms for dev teams. Learn key technical aspects, organizational factors, and strategies for successful implementation.

Discover five universal rules for effective test automation, enhancing continuous integration and simplifying large test suites. Learn to automate unconventional aspects and increase the value of your tests.

Explore cloud native development practices and tools for efficient Kubernetes-based software delivery. Learn about artifact syncing, dev environment bridging, GitOps, and observability to enhance speed and safety in your workflow.

Explore Kubernetes automation with Helm charts and operators. Learn their differences, advantages, and when to use each through code examples and practical insights.

Explore incident analysis in chaos engineering with real-world stories, learn its benefits, and discover how to implement it effectively for improved system resilience and reliability.

Explore the journey from ML experimentation to production, covering MLOps, TensorFlow Extended, and pipeline architectures for scalable, maintainable machine learning applications.

Explore Google's 15-year journey in Chaos Engineering, learning from thousands of disaster tests on production systems and gaining insights to implement resilience testing in your own environment.

Gain insights on optimizing RabbitMQ clusters from extensive production experience. Learn best practices, common pitfalls, and strategies to enhance reliability and performance in various cloud environments.

Explore chaos engineering, observability, and resilience in software development. Learn key concepts, best practices, and real-world examples to enhance system reliability and performance.

Discover how chaos engineering enhances DevOps practices, builds resilient applications, and transforms engineering culture to deliver uninterrupted customer experiences in distributed service environments.

Explores common pitfalls in Test Driven Development, offering solutions and insights to improve code quality, design efficiency, and software engineering practices.

Debunking myths about chaos engineering to promote adoption. Learn its definition, benefits, and how to overcome roadblocks in implementing this valuable practice for preventing major system issues.

Explore chaos engineering in application and cloud security, covering emerging patterns, tools, and practical exercises to enhance system resilience and strengthen DevSecOps culture.

Learn how to scale CI/CD pipelines using Azure pipeline templates, combining software engineering practices to speed up build and release work for DevOps teams.

Explore chaos engineering's evolution and its role in uncovering hidden issues in distributed systems. Learn about AWS Fault Injection Simulator and building resilience through destruction.

Debunking myths and exploring prerequisites for Chaos Engineering, this talk provides practical insights for organizations considering its implementation in their digital transformation journey.

Explore leadership strategies for managing chaos, drawing parallels from diverse fields. Learn to build resilient teams and navigate uncertainty using frameworks like Cynefin and OODA loop.

Discover Google's SRE engagement model for building reliable, scalable services. Learn how SREs and developers collaborate to ensure efficiency and maintainability in complex systems.