Author: admin

An internal developer platform succeeds when it is run as a product with paved roads teams choose to use, not a mandate imposed from…

Capacity planning, utilisation, commitment strategy and chargeback turn GPU and inference infrastructure from a surprise line item into a managed budget.

Before choosing new algorithms, find out where cryptography lives in your estate, who owns it and how hard it is to change.

Handover is a success case — code, IaC, runbooks and evaluation suites are yours from day one.

Models can cut alert noise and speed investigation, but only when identity, access and logging are already treated as first-class controls.

UPI and the account aggregator framework reward banks and fintechs that treat APIs, consent and reliability as the core product.

Industrial AI works when inference sits close to the machines, plays well with OT networks and keeps running when the cloud link drops.

Generated data is useful for testing, privacy and rare cases, but it only reflects what you already know about the real world.

Traces, spans, cost and latency telemetry and user feedback show what an AI system actually did, request by request.

AI-assisted code understanding makes mainframe, COBOL and monolith modernisation safer when it is used to map behaviour before anyone rewrites a line.