A Mechanism to Isolate CPU Topology Information in the Linux Kernel - CPU Namespace
Proposes a CPU namespace mechanism for isolating CPU topology information in containerized environments, addressing coherency, security, and fair use concerns in multi-tenant systems.
VMs + Containers - The Perfect Wedding
Explore Kubevirt's integration of VMs and containers, enabling seamless modernization of legacy applications alongside cloud-native technologies in Kubernetes environments.
Dockerfiles, Buildpacks, Jib and More - What's the Best Way to Run Your Java Code in Containers?
Explore various methods for containerizing Java applications, comparing Dockerfiles, Buildpacks, and Jib to determine the most effective approach for your projects.
Building Images for the Secure Supply Chain
Explore techniques to enhance container image security, reduce vulnerabilities, and improve supply chain integrity. Learn about minimizing dependencies, updating images, and using tools like apko for reproducibility and SBOM generation.
How to Secure Your Node.js Containers on Kubernetes With Best Practices
Discover best practices for securing Node.js containers on Kubernetes, covering cluster protection, OIDC implementation, and application-specific security measures for robust DevOps deployments.
Containers & Changing Server Landscape
Explore the future of containers, their impact on servers, and Microsoft's open-source approach with industry experts from CoreOS and Azure.
Docker C++
Containerize C++ apps effortlessly with Docker and CMake. Learn to create uniform build environments, simplify cross-platform development, and easily deploy complex applications on developer VMs.
Docker and Python - Making Them Play Nicely and Securely for Data Science and ML
Docker best practices for data science and machine learning: optimizing image builds, ensuring security, and implementing efficient deployment workflows for data-intensive applications.
Dock Your Jupyter Notebook
Learn to containerize Jupyter Notebooks with Docker for reproducible and shareable machine learning projects, enabling smooth execution on remote machines.
Best Practices for Python in the Cloud
Discover optimal strategies for deploying Python applications in cloud environments, enhancing scalability, performance, and cost-effectiveness.
Supercharge Your Development Environment Using Docker
Streamline development with Docker: Learn to create, share, and automate lightweight containers for consistent environments across your team and in production.
The Lightweight Cloud Servers War Begins
Explore next-gen cloud servers using containers for deployment, focusing on security and cluster management. Compare CoreOS, Atomic Host, Snappy Ubuntu, and VMWare Photon.
Real Virtual Environments Without Virtualenv
Explore Docker as an alternative to virtualenv for creating isolated, immutable, and repeatable Python development environments, enhancing consistency from development to production.
Create Secure Production Environment Using Docker
Learn to create and maintain secure Docker containers for production environments, covering risks, best practices, and essential techniques for robust deployment.
Dockerized Pytests
Explore containerizing pytest environments to replicate Jenkins setups locally, addressing challenges in custom plugins and dependencies for improved debugging and team collaboration.
Pythonist View on Microservices & Containerization
Explore microservices and containerization in Python, covering implementation, advantages, Docker usage, CI/CD approaches, and trade-offs for loosely coupled system design and deployment.
SQL Server Containers on Docker and Kubernetes
Explore SQL Server deployment options using Docker containers and Kubernetes, covering key considerations and best practices for containerized database environments.
SQL Server 2019 and Containerization
Explore SQL Server 2019 Big Data Clusters, Kubernetes deployment, and containerization strategies. Learn key considerations for architecting infrastructure, ensuring availability, and implementing protection measures.
The Future Is Here for Containers
Explore Docker Swarm for rapid container deployment, data persistence, and seamless migration between on-premise and cloud environments.
Standardize Your Environments Leveraging Infrastructure As Code
Explore methodologies for standardizing SQL Server deployments, identify gaps, and learn how Infrastructure as Code tools like Terraform can enhance and streamline your environment setup.
Azure Arc - From Edge to Core to Hybrid Cloud
Explore Azure Arc's role in extending Azure data services to on-premises, multi-cloud, and edge environments, enhancing SQL Server capabilities and enabling edge computing for valuable data insights.