
Explore Rook, a cloud-native storage operator for Kubernetes, and dive deep into Ceph storage provider. Learn about self-managing storage services and recent enhancements for production environments.

Explore Rook-Ceph's use of Multus for dedicated storage networks, boosting performance in baremetal environments. Learn about network topologies, attachment definitions, and compare performance with a live demo.

Explore Fluentd's internals, best practices, SDKs, and sub-projects for efficient logging in cloud-native environments, with a focus on Kubernetes integration and operational challenges.

Explore cloud-native integration using Knative and Apache Camel, focusing on EIP DSL for middleware integration and leveraging serverless frameworks for efficient service connectivity in modern applications.

Explore BuildKit's modern OCI image builder toolkit, enhancing Docker builds with improved performance, remote caching, and multi-platform support for streamlined application development and CI workflows.

Explore Kubeflow for seamless machine learning model deployment, from laptop to production. Learn about its components, scalability benefits, and integration with tools like TensorFlow and Apache Spark.

Explore Rook's architecture, recent developments, and multi-homed network configurations for cloud-native storage orchestration in Kubernetes, focusing on EdgeFS and Ceph operators.

Explore scalable NFS clusters using Rook and CephFS for Kubernetes storage. Learn about dynamic deployment, high availability, and efficient management of distributed storage systems.

Explore data locality in cloud-native big data workloads, focusing on Apache Hadoop Ozone's network topology support and its benefits for performance and scheduling in Kubernetes environments.

Explore SysFlow, a runtime observability framework for cloud-native security. Learn about its telemetry format, behavioral graphs, and tools for collecting and processing data in Kubernetes environments.

Strategies for hiring and retaining tech talent amid market volatility. Explores the disconnect between employer offerings and employee needs, proposing training and certification as solutions.

Explore transformer architectures for time series analysis, challenges in adapting NLP models, and their application in latency prediction for Kubernetes clusters.

Strategies for attracting and keeping top tech talent in government, addressing skills shortages, and bridging the gap between agency needs and professional expectations.

Explore the development of a PCI DSS compliant data platform on Kubernetes, addressing challenges in the UK payments infrastructure and discussing key considerations for fintech scalability.

Explore Kubeflow's role in streamlining machine learning workflows, from model development to production deployment on Kubernetes, with insights on scalability and integration with TensorFlow and Apache Spark.

Learn strategies to effectively engage and onboard new users, focusing on developer attention, progressive disclosure, and user feedback techniques for improved product adoption.

Learn to orchestrate Spark jobs on Kubernetes using Argo Workflows, exploring architecture, resource management, and scaling advantages for efficient large-scale data processing in cloud-native environments.

Explore Hadoop security vulnerabilities, attack vectors, and tools for accessing data in Big Data clusters. Learn about design flaws and practical techniques to exploit weaknesses in Hadoop infrastructure.

Learn to create reproducible machine learning workflows using Kubeflow Pipelines, enhancing efficiency and scalability in ML projects with Google's open-source platform.

Explore real-time data warehouses in open source, focusing on ClickHouse's architecture, performance optimization, and integration patterns for modern analytics applications.

Learn to orchestrate and automate software supply chains using Cartographer, enhancing DevOps workflows and improving application delivery efficiency and security.