Enterprise Infrastructure
Enterprise architecture, systems and the operational practice underneath every application, including the parts nobody thinks about until they fail.
Enterprise Architecture
How the parts of a business fit together, and how to change one without breaking the rest.
Architecture
Designing systems that survive growth, staff turnover and requirements nobody predicted.
Linux
The operating layer nearly everything runs on. Practical administration, not trivia.
DevOps
Shortening the distance between "it works on my machine" and "it works for customers".
Software Engineering
The craft: writing code others can change safely, and shipping it without drama.
Engineering
Build capacity, standards and technical debt.
How we approach Enterprise Infrastructure
It is the layer everything else assumes is working
Infrastructure gets attention when it fails and funding after that. The consequence is estates where nobody can say with confidence what runs where, what depends on what, or what happens if a single elderly box is switched off. A current dependency map is not documentation overhead. It is the difference between a controlled change and an outage with a conference bridge attached.
Standardisation beats optimisation almost every time
Ten servers configured identically and slightly wrong are easier to run, patch and reason about than ten each tuned perfectly by a different engineer. Variance is the thing that makes an estate expensive, because every exception has to be remembered by somebody. We would rather move the whole fleet to a good standard than a fraction of it to an excellent one.
Capacity is a forecasting problem, not a hardware one
Sizing arguments are usually two people with different unstated assumptions about growth and peak. Write the assumptions down, size against the peak you can evidence rather than the one you fear, and agree the trigger that starts the next expansion. Most overprovisioning is not caution, it is an unresolved disagreement that somebody settled by buying more.
Every page above is written to be used rather than skimmed, and each links back here and across to the others. Nothing on this page exists only to hold a keyword.
Other topics: Artificial Intelligence, Cloud, Cybersecurity, Oracle, Data and Analytics.