
Learn to precompile and deploy Python applications across Linux, Mac OS X, and FreeBSD systems, enhancing portability and performance for diverse environments.

Comprehensive guide to creating advanced Python setups on Linux and Windows, covering critical factors, reproducible builds, and system-specific considerations.

Learn to create scalable mass VM hosting for open source web apps using Python, LXC, Linux, Django, and AngularJS. Explore architecture, Linux internals, and development challenges.

Discover Red Hat's Python initiatives, including enterprise Linux support, OpenShift PaaS compatibility, and OpenStack contributions, benefiting developers and the Python community.

Explore next-gen cloud servers using containers for deployment, focusing on security and cluster management. Compare CoreOS, Atomic Host, Snappy Ubuntu, and VMWare Photon.

Explore CloudABI, a capability-based security environment for Unix-like systems. Learn its benefits, trade-offs, and how to implement it in Python for enhanced process isolation and security.

Learn to create and maintain secure Docker containers for production environments, covering risks, best practices, and essential techniques for robust deployment.

Explore low-level profiling and tracing tools on Linux, including ptrace, perf, SystemTap, and BCC/eBPF. Learn about their capabilities, advantages, and potential for optimizing Python performance.

Explore Python C extensions, C-API, and pybind11. Learn to package cross-platform wheels for Linux, macOS, and Windows, enabling easy installation via pip and automatic PyPI deployment.

Learn essential Linux skills for database administration, focusing on cross-platform SQL Server management. Gain insights from a multi-platform DBA with extensive Unix/Linux experience.

Deploy and manage SQL Server on Linux and Containers, including at scale on Kubernetes clusters. Learn to modernize your data platform with expert insights.

Learn to quickly set up and manage SQL Server containers using PowerShell and Docker. Discover how containers support development and testing environments with rapid deployment and easy management.

Explore SQL Server 2019's enhanced capabilities on Linux and containers, including new features like Replication, DTC, and Polybase, for a robust enterprise database solution across diverse platforms.

Learn to install and use PowerShell on Linux, interact with Azure and SQL Server, and discover its potential for Linux administrators. Explore use cases and resources for further learning.

Explore SQL Server on Linux: installation, configuration, and management. Learn essential Linux commands and file systems for DBAs transitioning to this open platform.

Optimize SQL Server deployment on Azure VMs: right-sizing, high availability, performance, migration, disaster recovery, and licensing for Windows and Linux environments.

Explore SQL Server's evolution from Docker support to Big Data Clusters, covering containerization, Kubernetes deployment, and integration with Python for modernized database management and analytics.

Accelerate machine learning pipelines using SQL Server on Red Hat Enterprise Linux and OpenShift. Learn in-database ML techniques and containerization for efficient model production and deployment.

Explore modern DBA roles across platforms, leveraging existing skills for maintenance, monitoring, and disaster recovery on Windows, Linux, Azure SQL DB, and containers. Future-proof your career in database administration.

Explore SQL Server performance on Linux: configuration, monitoring tools, tuning techniques, and leveraging persistent memory for cost-effective optimization.

Explore configuring Linux Pacemaker for SQL Server high availability, comparing it to Windows Server Failover Cluster and learning proper architecture for robust database systems on Linux.