
Explore real-world applications of Ubuntu and MicroK8s in scientific research, including migration to Kubernetes and development of a portable X-Ray spectrometer control system.

Explore building an end-to-end MLOps platform on GKE using open-source tools like Kubeflow to support Generative AI models, with practical tips and a demo for leveraging these technologies.

Explore Datadog's approach to automating Cassandra operations in Kubernetes using Temporal Workflows, addressing challenges and implementing complex use-cases for improved efficiency.

Explore advancements in ML pipeline portability using Intermediate Representation, enabling cross-platform compatibility and democratizing ML workflow development with enhanced features and registry protocols.

Learn strategies for predicting and diagnosing performance issues in Cassandra clusters. Discover key metrics to collect, effective analysis techniques, and best practices for incident response from Datadog's site reliability engineers.

Learn techniques for efficiently scaling GPU resources in Kubernetes clusters to optimize generative AI workloads, including GPU sharding and resource management strategies.

Explore best practices for securing and operating Large Language Models in Kubernetes, including deployment, ingress control, and protection against data leakage in production environments.

Explore DataStax's shadow deployment system for testing Astra updates using mirrored CQL traffic, including challenges, architecture, and lessons learned in implementing this innovative approach.

Explore high-resolution dynamic profiling with Parca, an open-source tool for continuous profiling. Learn to optimize code performance, enhance reliability, and reduce cloud costs across various languages.

Explore Meridio, an open-source tool for Kubernetes, enabling advanced networking capabilities for telco use cases. Learn about traffic attraction, isolation, and simplified management using secondary networking.

Explore the transformative potential of Pipelines as Code, from development to deployment. Learn how this approach enhances flexibility, scalability, and standardization in modern software delivery pipelines.

Inspiring panel discussion featuring women leaders in Kubernetes sharing their journeys, experiences, and insights on contributing to open source and navigating the cloud native ecosystem.

Explore building a unified control plane for multi-cluster Kubernetes management using open-source tools like kcp and Crossplane, enabling flexible workload scheduling and avoiding cloud lock-in.

Discover how to enhance Kafka consumer scalability using Kubernetes and KEDA, achieving over 75% efficiency while maintaining data freshness SLA. Learn about custom metrics, dynamic vertical scaling, and holistic optimization approaches.

Explore how misconfigurations in Thanos and Fluentbit for observability data management nearly led to a $100,000 infrastructure budget overrun, and learn from these costly mistakes.

Explore Prow for efficient Kubernetes E2E testing. Learn setup, components, job configuration, test parallelization, result analysis, and troubleshooting strategies to enhance cluster reliability and stability.

Explore distributed tracing integration for serverless functions using OpenTelemetry and Knative. Learn to collect and analyze telemetry data across complex cloud-native microservices and varied infrastructures.

Explore OpenPolicyAgent and Rego for robust Kubernetes security. Learn to create, implement, and manage policies efficiently, ensuring compliance and fortifying your cloud-native infrastructure.

Explore GitHub's scalable infrastructure using Kubernetes, including deployment processes, security measures, and self-service tools for efficient microservices management at massive scale.

Explore open-source tools for enhancing Kubernetes monitoring and observability, including log aggregation with Elasticsearch, metrics with Prometheus and Grafana, and exception handling with Sentry.

Explore the development of the Dragonfly Operator for managing in-memory data stores on Kubernetes, covering design decisions, implementation challenges, and benefits for users.