
Explore how AI is revolutionizing observability, from automated data analysis to intelligent alerting, and discover the potential for faster, more efficient system monitoring and troubleshooting.

Exploring the evolution of observability in complex systems, highlighting recent advancements in data types, usability, and workflows, and providing steps to improve observability practices.

Insights from migrating legacy systems to Kubernetes: challenges, trade-offs, and lessons learned in evolving from bare-metal to managed cloud infrastructure with service mesh.

Explore distributed tracing challenges, focusing on data volume management through sampling techniques. Learn about OpenTelemetry configurations and their impact on cost and value of tracing data.

Explore container security through live hacking, learn vulnerabilities in Docker images, and adopt best practices for securing containerized Java applications in production.

Evaluating top AI frameworks for CI/CD integration, focusing on accuracy, security, coding practices, and compliance with emerging standards and legislation.

Explore continuous profiling for real-time performance analysis in distributed systems. Learn its role in observability, popular open-source options, and challenges in cloud-native environments.

Insights from 12+ years as a DevOps consultant: effective collaboration, adaptability, clear requirements, diverse skill set, and embracing change for improved software delivery and operational excellence.

Learn to automate front-end testing using GitHub Actions, ensuring UI, functionality, and visual consistency before deployment. Integrate seamlessly with existing workflows for robust continuous deployment.

Explore OpenTelemetry's capabilities for distributed tracing, logging, and metrics in complex systems. Learn best practices, sampling strategies, and architecture optimization for effective observability.

Explore cutting-edge Kubernetes and cloud native technologies at this one-day technical conference, featuring expert talks and networking opportunities in New York City.

Explore automated deployment of large AI models on Kubernetes, leveraging CRDs for seamless management and optimizing GPU utilization through preset configurations and auto-provisioning.

Explore techniques for identifying and addressing issues in infrastructure as code implementations, enhancing cloud-native development practices and improving system reliability.

Explore NLP architectures on Kubernetes with Kubeflow, enhancing machine learning workflows and deployment efficiency in cloud-native environments.

Explore Spring Boot's extensibility for platform engineering, enabling shared libraries and integrations to streamline development practices and boost productivity in large-scale Java environments.

Docker CTO Justin Cormack discusses the company's developer-focused approach, successful restructuring, product development, and insights on developer productivity and communication in the software industry.

Explore effective code review strategies, from communication techniques to automated tools, enhancing team collaboration and code quality while minimizing frustration and inefficiencies.

Comprehensive guide to Jenkins pipelines, covering scripted and declarative approaches for efficient CI/CD implementation in DevOps environments.

Explore Carvel, a suite of composable tools for Kubernetes app deployment. Learn how these single-purpose tools enhance workflows and simplify the application development lifecycle.

Learn to implement Kubernetes operators using Java and Micronaut framework. Discover how to create cloud-native applications, custom resource definitions, and manage deployments in a Kubernetes cluster.

Practical guidance on implementing observability in CI/CD pipelines to boost productivity, improve failure response, and enhance engineer quality of life through intelligent data collection, dashboarding, and alerting.