
Explore Rook, a cloud-native storage operator for Kubernetes, and its integration with Ceph for stable block, file system, and object storage in production environments.

Insights on leveraging open-source tech for Apache Spark on Kubernetes, addressing challenges in large-scale production environments and evolving ML data infrastructure in the cloud.

Explore observability strategies for cloud-native infrastructure cost monitoring, examining open-source projects like OpenTelemetry and OpenCost to enhance cost optimization solutions.

Learn to customize Argo CD and Argo Rollouts for specific company needs while maintaining flexibility. Explore extension mechanisms and gain architectural insights for effective deployment workflows.

Discover strategies for implementing Argo Workflows across diverse engineering teams, overcoming adoption challenges, and customizing the platform for performance without sacrificing flexibility.

Optimize big data and ML workflows using memoization and work avoidance techniques in Argo Workflows. Learn best practices to reduce runtime and compute costs for data processing and machine learning jobs.

Learn to enhance security for Jupyter Notebooks using KubeArmor, exploring advanced protection techniques for cloud-native environments and data science workflows.

Discover best practices for building scalable Spark clusters on Kubernetes using Argo Workflows and Argo Events, enabling efficient resource utilization and seamless scalability for powerful data processing.

Step-by-step guide on configuring Cilium to limit GitHub repo access for cluster workloads, covering TLS termination, certificate management, and L7 network policies for enhanced security in multi-tenant environments.

Learn to schedule Jupyter notebooks using Airflow on Kubernetes, enabling scalable data pipelines and machine learning workflows with enhanced security and resource management.

Explore MLOps platforms to streamline data science workflows, automate tasks, and enhance collaboration. Learn best practices for efficient AI project delivery using real-world datasets.

Explore Rook, a cloud-native storage operator for Kubernetes, and its integration with Ceph for stable block, file system, and object storage in production environments.

Explore the latest WSL improvements and best practices for creating a powerful Linux environment on Windows, including AI enhancements, GitHub Actions, and VS Code Remote integration.

Learn effective strategies for identifying, attracting, and hiring top DevOps talent. Gain insights into the DevOps role, essential skills, and industry-specific recruitment techniques.

Explore the challenges of integrating data science tools like notebooks into production environments, drawing parallels with spreadsheets and proposing solutions to bridge the gap between experimentation and structured systems.

Explore Apache Spark on Kubernetes using Charmed Spark. Learn to deploy, configure, and run Spark workloads, integrate with Kafka, and monitor jobs through hands-on demonstrations.

Explore Fluentd's evolution: new package, rebranding, and long-term release cycle. Learn about benefits, impacts, and upgrade process for this popular open-source data collector.

Debunking myths about regulatory constraints on modern software development practices, emphasizing compatibility between compliance standards and agile methodologies for competitive advantage.

Explore a K8s-native Serverless Spark Service that enhances speed and simplicity, featuring a new K8s operator for cluster creation and job submission, with rapid responsiveness and ML training integration.

Explore user empathy in product development through a case study of Istio's Ambient mode, learning strategies for gathering honest feedback and understanding user perspectives.

Explore the journey of operationalizing data science workloads at scale using Kubeflow and GitOps, from initial challenges to a standardized approach for ML experiments, API creation, and batch predictions delivery.