Infrastructure Technical Debt: The Cost of Delaying Modernization
Learn how aging virtualization, legacy hardware, and manual operations increase infrastructure costs and how OpenStack can support modernization.
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Engineering notes from operating open infrastructure: the failures, design decisions, and upstream work that make open infrastructure better.
Browse all field notesLearn how aging virtualization, legacy hardware, and manual operations increase infrastructure costs and how OpenStack can support modernization.
Read field noteUnderstand the cloud shared responsibility model and how compliance responsibilities differ across public and private cloud deployments.
Read field noteHow to evaluate different options to build a software-defined data centre.
Read field noteTrends, best practices, and technical deep dives on open source cloud infrastructure.
Learn how aging virtualization, legacy hardware, and manual operations increase infrastructure costs and how OpenStack can support modernization.
Understand the cloud shared responsibility model and how compliance responsibilities differ across public and private cloud deployments.
How to evaluate different options to build a software-defined data centre.
Evaluate whether your compute, storage, networking, security, recovery, and operations are ready to support cloud infrastructure growth.
Learn how OpenStack uses Placement traits, resource classes, flavors, and PCI passthrough to schedule GPUs and other specialized hardware.
Learn what data sovereignty means, how it differs from data residency, and the infrastructure decisions that support secure private clouds.
Learn what cloud repatriation is, which workloads are good candidates, what to compare before moving, and how OpenStack supports a practical hybrid strategy.
Learn how ephemeral CI runners reduce cross-build contamination and security risk, where they add complexity, and when persistent runners still make sense.
Choosing an OpenStack provider? Use this practical buyer's checklist to evaluate expertise, support, architecture, security, and long-term value before making your decision.
AI agents need always-on inference, persistent state, and real-time networking. Most infrastructure wasn't built for that. Learn what agent-ready requires.