Start With a Monolith. Seriously.
42% of companies moved back to monoliths in 2026. For teams under 20 engineers, microservices solve problems you don't have yet — and create problems you don't need.

If a specific product is named before there has been a substantive conversation about your current environment, that is a sales motion presented as advisory. The framing may sound consultative. The process isn't.
Forrester's 2024 B2B Buying Study found that 74% of business buyers feel that salespeople focus too much on pitching their own product and not enough on understanding the buyer's problem. That number has been climbing steadily since Forrester started tracking it. The sales industry knows this is a problem. The behavior persists because it works often enough to be profitable — even though it doesn't work well enough to be advisory.
In The Problem with Generic Tech Recommendations, I flagged a specific red flag: a recommendation that arrives before a diagnosis. If a specific product name appears before there's been a meaningful conversation about your current environment, your constraints, your team, and what's actually causing the problem — that's not consulting. That's a sales motion with consultative language wrapped around it.
Real advisory follows the same structure as any honest diagnostic process. A doctor doesn't prescribe before examining. An attorney doesn't recommend a strategy before reviewing the facts. An engineer doesn't spec a solution before understanding the requirements. The pattern is universal across every field where the advisor's credibility depends on getting the answer right rather than getting an answer fast.
In technology advisory, the diagnostic phase has specific components. At minimum, a credible advisor needs to understand your current tech stack and what the proposed tool must integrate with, your infrastructure and hosting environment, your budget including total cost of ownership, your team's capabilities and working style, where your business is going — not just where it is now — and what's actually causing the pain you're trying to resolve.
That conversation takes time. It requires questions the advisor can't answer from a website visit or a LinkedIn profile. It produces information that changes the recommendation. If the recommendation doesn't change based on what the advisor learns, the discovery phase was theater.
The language of consultative selling has become sophisticated enough that the line between genuine advisory and structured sales can be difficult to spot from the inside. A few patterns to watch for:
A recommendation that arrives before a diagnosis doesn't just risk selecting the wrong product. It sets a precedent for the relationship. If the vendor's first interaction with your organization prioritized their solution over your problem, that priority structure is likely to persist through implementation, support, and renewal.
Implementation decisions will favor the vendor's standard approach over your specific needs, because the standard approach is what they've built their delivery model around. Support interactions will route toward product-centric solutions ("have you tried enabling this feature?") rather than problem-centric investigation ("let's look at what's actually happening in your environment"). Renewal conversations will focus on new features and expanded licensing rather than whether the tool is still the right fit for where your business has gone.
The first interaction is diagnostic — not just of the product, but of the vendor. How they approach the initial conversation tells you how they'll approach the relationship. It's a direct expression of the trust equation in B2B.
Recognizing a sales motion presented as advisory doesn't require confrontation. It requires redirection.
The distinction between advisory and sales isn't about intent. Many people in sales roles genuinely want to help their clients find the right solution. The distinction is about process. Advisory follows evidence. Sales follows a pipeline. When the recommendation arrives before the evidence is in, the process is the latter — regardless of how the conversation is framed.
Genuine discovery produces information that changes the recommendation. If the vendor asks detailed questions about your environment, constraints, and goals — and then adjusts their recommendation based on what they learn, including potentially recommending against their own product — the process is real. If the questions are structured to lead toward a predetermined conclusion, the discovery is performative. A useful test: ask whether they've ever recommended a competitor's product or recommended that a prospect not buy anything at all.
Context matters. A vendor explaining what they do and how their product works is transparent — you know who you're talking to and what they sell. That's different from a vendor positioning their product as the answer to your problem before they understand the problem. The issue isn't mentioning the product. It's concluding the evaluation before conducting it.
A credible evaluation follows a sequence: define the problem and its root cause, document the current environment and constraints, identify the categories of solutions that could address the problem, evaluate specific options within those categories against your constraints, and then — after all of that — move to demonstrations and proof-of-concept testing. Any process that inverts this sequence, placing the product demonstration before the problem definition, has prioritized speed over fit.
42% of companies moved back to monoliths in 2026. For teams under 20 engineers, microservices solve problems you don't have yet — and create problems you don't need.
A company spent nearly a million dollars on failing software and chose to continue. Not because the future looked promising — because the past felt too heavy to abandon.
Prevention costs $5K-$15K per year. A single incident averages $254,445. The math is a 50-to-1 ratio. The psychology explains why 47% of small businesses still allocate zero.
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