Taking AI from Pilot to Production
A field guide to the seven decisions that separate an AI experiment from a system your organization can operate.
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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 notesA field guide to the seven decisions that separate an AI experiment from a system your organization can operate.
Read field noteCompare public, private, and hybrid cloud by cost, security, performance, compliance, operations, and workload fit to choose the right model for your workloads.
Read field noteHow to choose between a consumption-priced API and dedicated capacity with some sample costs.
Read field noteTrends, best practices, and technical deep dives on open source cloud infrastructure.
A field guide to the seven decisions that separate an AI experiment from a system your organization can operate.
Compare public, private, and hybrid cloud by cost, security, performance, compliance, operations, and workload fit to choose the right model for your workloads.
How to choose between a consumption-priced API and dedicated capacity with some sample costs.
Learn why cloud workloads stay slow despite normal CPU and RAM, and how to diagnose storage, network, VM, load-balancer, and shared-resource bottlenecks.
Private cloud compliance checklist covering IAM, encryption, backups, disaster recovery, logging, and other essential security controls.
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.