Long-form essays from the engineers shipping AI inside payers, hospitals, energy operators and proptech platforms. Written for technology leaders who care more about what runs in production than what trended last week.
Invest in formal incident management or keep your current approach? A CTO's decision guide on when the practice pays off and when ad hoc response is still enough.
Taking developer experience from strategy to production with an engineering partner: the gap between a DevEx vision and friction actually reduced for developers.
How Logiciel delivers LLM evaluation and testing for real estate: the engagement that verifies LLMs are accurate and safe before they touch listings, valuations, and tenants.
MLOps for enterprise explained: the concepts behind operationalizing ML at scale, the benefits of reliable model delivery, and the trade-offs in cost and complexity.
How Logiciel delivers designing for scale for the enterprise: the engagement that finds the bottlenecks, proves scaling under load, and builds the operational maturity.
How Logiciel delivers cloud cost optimization for the enterprise: the engagement that makes spend visible and owned, fixes structural drivers, and sustains the savings.
Taking pipeline monitoring from strategy to production with an engineering partner: the gap between "we'll monitor our pipelines" and catching silent data failures.
Best practices for medallion architecture at scale: enforce layer contracts, govern transformations, and manage cost, so bronze-silver-gold stays trustworthy as it grows.
Choosing a platform engineering partner: the questions a Head of Platforms should ask to find one who builds a platform developers adopt, not shelfware nobody uses.
The common infrastructure as code pitfalls: drift from manual changes, no state discipline, copy-paste sprawl, and no testing, and how to avoid each.
Invest in CI/CD pipeline design or keep your current deployment process? A VP Engineering decision guide on when the investment pays off and when it is premature.
How energy and utilities teams add pipeline monitoring without disruption: instrument running data pipelines incrementally, starting where failures hit operations.
How to approach semantic layer design in real estate: get the organization to agree on one definition per metric (NOI, occupancy, cap rate) and govern it, then build.
The 2026 trends shaping change data capture in healthcare: real-time, reliable sync of clinical data with the PHI handling and auditability healthcare demands.
Rightsizing cloud spend explained: the concepts behind matching resources to real usage, the benefits of doing it, and the trade-offs against reliability headroom.
A practical roadmap to cloud security posture: gain visibility, prioritize by risk, remediate, and prevent with guardrails, so posture improves continuously instead of via one-time scans.
The common AI model risk management pitfalls: policy without controls, pre-deployment-only validation, no intervention path, and uniform governance, and how to avoid each.
How Logiciel delivers Kubernetes at scale for real estate: the engagement, the foundations, and what you get when many services run reliably on orchestration.
A framework for Kubernetes cost control in mid-market and enterprise teams: make spend visible, right-size, and assign accountability, in that order.
A DevOps lead's checklist for implementing container orchestration: get the foundations (networking, storage, security, observability) right, not just a running cluster.
How Logiciel delivers data lineage for the enterprise: the engagement, the work, and what you get when data flow becomes automatically captured, current, and navigable.
How to measure and prove real-time data ingestion ROI: quantify the value of fresh data for decisions, against the higher cost and complexity versus batch.
How Logiciel delivers feature stores for real estate: the engagement, the work, and what you get when ML features become consistent, reusable, and governed.
How to build a business case for high-availability systems in healthcare: justify the cost on the clinical and operational impact of downtime, not just uptime numbers.
One long-form essay every other Wednesday. Written by the engineers shipping production AI for our clients, not by a content team. No promotional emails. Unsubscribe in one click.
