
Explore AC3: an innovative EU project for AI-driven cloud-edge infrastructure, focusing on sustainability, efficiency, and zero-touch management for developers.

Explore strategies to foster a proactive engineering culture that prioritizes incident prevention over reactive problem-solving, leading to more resilient software development practices.

Explore GPU-accelerated containers on Apple Silicon using libkrun and podman machine. Learn to run AI workloads efficiently in containers, leveraging macOS hardware for optimal performance.

Explore challenges and lessons learned in applying data science to service observability, focusing on real-world project experiences and practical insights.

Explore Zeta Global's migration from bare-metal to Kubernetes, covering infrastructure evolution, containerization, and cloud-readiness strategies for DevOps and Engineering teams.

Explore patterns in Kubernetes/OpenShift alerting data to uncover relationships between software health metrics, applicable to various services and data science tasks.

Enhance Node.js app monitoring on Kubernetes using OpenTelemetry for auto-instrumentation, improving log generation and metric collection for precise performance analysis.

Explore innovative approaches to leveraging Kubernetes API for SaaS platforms. Learn about KCP, a CNCF project addressing multi-tenancy challenges in Kubernetes-based environments.

Explore Prometheus metrics for data-driven infrastructure decisions. Learn query-building, tools, and data warehouse concepts to maximize insights from your system's metrics.

Explore podman-bootc: streamline bootable container workflows, expand OCI model for host systems, and enable direct container booting as VMs.

Explore the Strangler Fig pattern for migrating monolithic applications to microservices. Learn practical steps, pros and cons, and tackle technical challenges in legacy modernization.

Explore new CNI features: STATUS for plugin readiness and GC for resource cleanup. Learn implementation examples and see a demo of these enhancements for efficient container networking.

Harness the power of Change Data Capture in Kubernetes using Debezium. Learn to track, stream, and deploy real-time database changes efficiently for data-driven applications.

Explore Kiali's advanced features for observability and management of Kubernetes microservices, focusing on troubleshooting Istio service mesh complexities.

Explore challenges and strategies for testing AI applications, focusing on clarity, fairness, and robustness. Gain insights to build trust and mitigate risks in AI-driven systems.

Explore challenges in applying academic performance analysis techniques to real-world software, focusing on experiences with the Linux kernel using Perun performance management system.

Discover strategies for accurate cost attribution in multi-user OpenShift environments, focusing on cluster profiles, dedicated pools, and spend analysis for efficient resource management.

Explore advancements in Fedora's automated testing, focusing on critical path updates, integration tests, and potential improvements for package dependencies and compose inputs.

Explore the Open Education Project's architecture, leveraging open-source tech for accessible, high-quality educational materials. Learn about NERC infrastructure and OpenShift AI deployment for large-scale courses.

Explore observability basics, instrumentation, and OpenTelemetry standardization. Learn to implement tracing in Python with open-source examples.

Explore cloud-native hardware-in-the-loop testing for edge devices using Jumpstarter, streamlining CI/CD pipelines and development workflows for software stacks on specific hardware.