Insights & Intelligence
Knowledge Center // Live
Long reads on the platforms, the migrations and the costs: what we would choose, and where these projects go wrong.
32 pieces, in 7 groups. Written to be checked, not to rank.
Data platforms
- Data Governance: Why Programs FailWhy data governance programmes decay: rules with no enforcement point, owners who cannot fix the producer, and tests that check shape rather than meaning.Reviewed September 2026 · 7 minRead →
- Data Lake vs Lakehouse vs WarehouseHow warehouses, data lakes and lakehouses actually differ, the failure modes each one hands you, and how to choose without over-buying.Reviewed September 2026 · 7 minRead →
- The Data Migration PlaybookWhat actually decides a data migration: a reconciliation you can defend, a source that can report change, and a rehearsal run at full size.Reviewed September 2026 · 7 minRead →
- Databricks vs Snowflake vs FabricA working comparison of the three platforms: what they actually are, how their billing shapes your architecture, and the failure mode each one hands you.Reviewed September 2026 · 7 minRead →
- Hiring Your First Data EngineerWhat the first data engineering hire is actually for, how to tell whether you need one yet, and how to interview for the failure modes rather than tool lists.Reviewed September 2026 · 6 minRead →
- Power Platform Governance: The Enterprise PlaybookWhy Power Platform governance fails in practice, and the controls that hold: inventory, ownership, DLP's real limits, licensing shape and silent failure.Reviewed September 2026 · 7 minRead →
- Power BI Pitfalls at Enterprise ScaleWhat actually breaks when Power BI becomes an organisation's reporting layer, and which of those failures belong to the product rather than to you.Reviewed September 2026 · 8 minRead →
- Snowflake in 2026: Still the Gold Standard, or Yesterday's Architecture?What actually decides the Snowflake question in 2026: awake-time billing, the pruning you destroyed yourself, and who owns the catalogue if you leave.Reviewed September 2026 · 7 minRead →
- SQL Server Performance Tuning Deep DiveHow to diagnose SQL Server performance problems in order: wait statistics, row estimates, parameter sniffing, indexes, blocking and honest measurement.Reviewed September 2026 · 7 minRead →
Cloud and infrastructure
- Cloud Cost Optimization That Survives ContactWhy most cloud savings decay within a quarter, how to tell a structural reduction from a cosmetic one, and where the money usually actually is.Reviewed September 2026 · 7 minRead →
- Cloud Security Posture Management GuideWhat a cloud posture tool actually measures, why a clean dashboard is the easiest result to manufacture, and how to decide whether you need one.Reviewed September 2026 · 9 minRead →
- Observability Engineering in PracticeWhy observability work fails in practice: cardinality, broken trace propagation, dead exporters reading as green, and telemetry as your most sensitive data.Reviewed September 2026 · 7 minRead →
- Platform Engineering: What It Actually MeansWhat platform engineering actually means: a supported interface with an owner, the failure modes it hits, and how to tell whether yours is working.Reviewed September 2026 · 7 minRead →
- Terraform vs Pulumi vs CDK: The IaC DecisionThe choice is not about syntax. It is about which engine applies your changes, where state lives, and what your options are when a deploy fails.Reviewed September 2026 · 6 minRead →
- Web Performance Optimization GuideHow to find the two or three things actually making a site slow, and why a Lighthouse score on your own laptop is not evidence.Reviewed September 2026 · 8 minRead →
Architecture
- API-First Architecture GuideWhat API-first architecture actually commits you to, the drift and versioning failures that kill it, and when a plain function call is the better boundary.Reviewed September 2026 · 6 minRead →
- Build vs Buy: When Custom Software Beats SaaSWhy build-vs-buy is not a cost comparison, and the failure modes that actually decide it: near-fit products, metered pricing, data gravity and second-year maintenance.Reviewed September 2026 · 8 minRead →
- Migrating a Legacy System Without Stopping the BusinessWhy the real migration question is about dual running and arbitration, not big bang versus phased, and the failure modes practitioners actually hit.Reviewed September 2026 · 8 minRead →
- Low-Code vs Pro-Code: When Each Makes SenseThe choice is not speed versus control. It is who can safely change the system in eighteen months, and what the platform's limits will cost you.Reviewed September 2026 · 7 minRead →
- The Real Cost of Technical DebtWhy the annual cost of technical debt cannot be honestly stated, what it actually does to a team, and which compromises are worth paying down.Reviewed September 2026 · 7 minRead →
- The Right Tech Stack for StartupsWhich technology choices you can undo cheaply, which ones you cannot, and the failure modes that actually hurt small teams.Reviewed September 2026 · 6 minRead →
Security
- API Security: The Most Exploited VulnerabilitiesWhich API vulnerabilities actually get exploited, why scanners cannot see the worst of them, and the short list of fixes that hold as a codebase grows.Reviewed September 2026 · 7 minRead →
- CI/CD Security: The Attack Vectors Teams IgnoreThe CI/CD attack vectors that survive a scanning programme: triggers that mix untrusted code with secrets, poisoned caches, and loose OIDC trust policies.Reviewed September 2026 · 7 minRead →
- Cybersecurity Blind Spots Enterprise IT IgnoresThe gaps in enterprise security are rarely exotic: controls that exist in configuration, have never fired, and nobody owns. Six of them, and how to test.Reviewed September 2026 · 7 minRead →
- DevSecOps Implementation RoadmapAn ordering argument for DevSecOps: inventory and CI identity first, almost nothing blocking, and what changes when the build is air-gapped.Reviewed September 2026 · 8 minRead →
AI in the enterprise
- AI Readiness Checklist for EnterprisesMost AI readiness checklists test procurement, not capability. Here is what actually has to be true before an AI system does useful work.Reviewed September 2026 · 7 minRead →
- OpenAI vs Anthropic vs Mistral: The Cost MathWhy per-token rate cards won't tell you which of OpenAI, Anthropic or Mistral is cheaper, and the cost arithmetic that actually decides your bill.Reviewed September 2026 · 9 minRead →
ERP and Dynamics
- Why D365 Implementations FailMost Dynamics 365 projects go wrong on decisions taken before any code is written. The irreversible choices, the real failure modes, and what to settle first.Reviewed September 2026 · 7 minRead →
- D365 X++: What Companies Miss About DevelopersHiring for D365 Finance & Operations goes wrong before the first line of X++: the name covers two products, and the real skill is reading the standard app.Reviewed September 2026 · 6 minRead →
- ERP Vendor Lock-In and How to Limit ItWhere ERP lock-in actually lives: the data model, the extensions and the integrations, not the licence, and what genuinely cuts the cost of leaving.Reviewed September 2026 · 7 minRead →
Engineering practice
- Azure DevOps vs GitHub for EnterpriseMicrosoft owns both, so the real question is narrower: which parts of Azure DevOps you still depend on, and what replacing them actually costs.Reviewed September 2026 · 8 minRead →
- Managing Remote Engineering TeamsWhat actually changes when an engineering team stops sharing a room: review latency, chat as a false record, hybrid's two tiers, and what to write down.Reviewed September 2026 · 7 minRead →
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