Insights library
Understand the decision behind the technology.
Explore the context, compare approaches and work through the practical questions facing your IT team.
IT Operations · Analysis
Platform engineering metrics should follow the developer’s whole task
Faster service creation can hide support queues and rework. Measure developer independence, usable outcomes and reliability across the whole journey.
Data & AI · Decision guide
AI data readiness includes the document you have just revoked
Prepare enterprise retrieval around permission changes, freshness and deletion. Test every derived copy, not just the quality of the source documents.
Cloud & Infrastructure · Decision guide
Cloud repatriation: price the operating model you will inherit
A repatriation case needs more than cheaper servers. Compare transition costs, support, spare capacity and service obligations over the same horizon.
Data & AI · Explainer
RAG or fine-tuning? Start with what the AI gets wrong
RAG supplies information at response time; fine-tuning adapts model behaviour through training. The right choice starts with the failure you need to fix.
IT Leadership · Analysis
When a technology pilot has earned another phase
Decide whether to stop, change or extend a technology pilot using the evidence it can still produce, the incremental cost and a clear decision threshold.
Cybersecurity · Analysis
Application security metrics: explain what changed before celebrating the count
Finding counts can rise with better coverage or fall when visibility is lost. Tie AppSec reporting to deployed exposure, verified fixes and recurrence.
IT Operations · Practical guide
Build a service catalogue responders can trust
Create a software service catalogue that answers ownership and change-impact questions. Use Backstage fields carefully and keep entries current.
Data & AI · Explainer
Data lineage and observability: choose the evidence your investigation lacks
Compare lineage and observability through a wrong dashboard result and a late data feed. Check product coverage before choosing a platform.
Cloud & Infrastructure · Analysis
A smaller cloud bill can hide a more expensive service
Cloud unit economics should count useful output and service quality. See how a falling bill can conceal rising cost per successful transaction.
