
Dive into advanced container security using Kata and Confidential Computing to implement zero-trust architecture, protect sensitive workloads, and achieve attestable pod integrity in Azure environments.

Explore diverse architectures and deployment tools for Ironic bare metal systems, from standard implementations to large-scale deployments like CERN, covering API interfaces and scalability considerations.

Explore the migration journey from Ansible-based Open edX deployment to a Kubernetes platform using OpenStack Magnum and Zuul, covering technical challenges and architectural solutions.

Discover how to implement robust system deployment testing using Zuul, Ansible, and containers for reliable GitOps practices and automated infrastructure validation in enterprise environments.

Discover how Sokovan optimizes AI/ML workloads through intelligent container orchestration, featuring dual-layer scheduling and hardware acceleration integration for enhanced GPU computing performance.

Discover how Arlon unifies Kubernetes cluster deployment, configurations, and applications through a single declarative API, enabling efficient large-scale management and standardized production-ready environments.

Explore end-to-end Software Defined Storage solutions using Infrastructure Processing Units, focusing on NVMe/TCP integration, Kubernetes CSI plugins, and orchestration frameworks for cloud data centers.

Discover how to transform traditional IT into a software-defined datacenter using CI/CD pipelines, cloud-native approaches, and SLOs. Learn strategic frameworks and tools like OpenStack and Ansible for enhanced efficiency.

Master remote operating system deployment using Bifrost's minimal footprint and PXE over IPSec VPN, enabling quick and efficient baremetal infrastructure setup in remote environments.

Master the deployment and integration of standalone Ceph storage clusters with OpenStack and Kubernetes/OpenShift, covering components, networking, security, and data protection for efficient multi-platform storage solutions.

Discover essential container concepts tailored for data scientists, focusing on practical applications and time-saving implementations for efficient workflow management and deployment.

Discover a strategic framework for transitioning AI prototypes to production, covering planning, feasibility assessment, risk mitigation, and implementation best practices through real-world examples.

Master MLOps platform development using DVC ecosystem for data versioning, experiment tracking, and CI/CD pipeline automation. Learn practical implementations across various industries and ML applications.

Master automated data lake deployment workflows using Molecule, Ansible, and Kubernetes. Learn to set up and test multi-node clusters with essential data services like Elasticsearch, JupyterHub, Spark, and Airflow.

Discover how to scale NLP development using Kubernetes, featuring DataOps practices, pipeline orchestration, and MLOps tools integration within AWS cloud for production-ready systems.

Discover practical strategies for scaling monolithic applications to handle millions of visits, focusing on cloud infrastructure optimization and real-world performance challenges.

Discover how to transition from backend development to DevOps, exploring scalable solutions, system comprehension, and platform-level thinking while managing multiple engineering teams.

Discover OpenTelemetry's core components, implementation strategies, and practical applications for logs, metrics, and tracing in modern cloud-native environments through hands-on examples and real-world scenarios.

Explore distributed systems architecture, from CAP theorem fundamentals to microservices communication patterns, timeout configurations, and practical implementation strategies for robust systems.

Master distributed system monitoring with OpenTelemetry tracing, exploring implementation techniques and best practices for tracking requests across microservices architectures using open standards.

Explore the latest developments in etnaviv driver stack, including CI board farm expansion, OpenGL ES 3.0 implementation progress, and innovative solutions for legacy GPU support.