Ideas from the people who ship the systems.
White papers, market research, AI research, industry trend reports, and downloadable PDFs — written by the architects and engineers doing the work, not analysts observing from a distance.
In-depth analysis & downloadable reports
A pragmatic FinOps playbook for 2026
Disciplined tagging, autoscaling and architecture reviews that cut cloud spend 30–50% without slowing engineering teams.
Download PDF White PaperSOC 2 for engineering-led companies
The controls and evidence that matter — and how to build them into your delivery pipeline from sprint one.
Download PDF ReportState of Data Engineering in 2026
How organizations are adopting lakehouse architectures, real-time streaming and AI-ready data platforms.
Download PDFApplied AI for enterprise — practical, responsible, deployable
Putting Generative AI into production safely
Guardrails, evaluation frameworks and governance patterns for shipping LLM features in regulated industries.
Read article AI ResearchRAG architectures for enterprise knowledge bases
How to implement Retrieval-Augmented Generation on your own data without hallucinations or compliance risk.
Read article AI ResearchML model monitoring in production
Detecting data drift, retraining triggers and SLO-aligned observability for machine learning systems.
Read articleWhat's shaping technology decisions in 2026
Lakehouse vs. warehouse: choosing well
A decision framework for data leaders weighing Snowflake, BigQuery and open lakehouse architectures for their specific workloads.
Read article Industry TrendsThe strangler-fig pattern, explained
How to retire a legacy monolith incrementally without a risky big-bang rewrite — with real delivery timelines.
Read article Industry TrendsDevOps metrics that predict success
Beyond vanity dashboards — the four DORA metrics, how to measure them, and how to move them.
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Occasional, high-quality briefings on cloud, AI, data and modernization — from people who build, not just advise.