Founder-led performance · Reliability · Architecture

Find what is slowing Business Central, SQL Server, PostgreSQL or Azure.

Veltheon traces one business symptom across the application, database and infrastructure — then gives your team ranked evidence and a practical improvement plan.

For technology leaders and Dynamics partners responsible for critical systems.

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  • Founder with approximately 20 years of enterprise experience
  • Founder-led
  • Read-only first
  • Explicit consent before collection
  • Ontario, Canada
/ Where the pressure concentratesIllustrative · synthetic
Month-end posting run, six layers × eight collection windows.
Layer18:0019:0020:0021:0022:0023:0000:0001:00
Business workflowBusiness workflow, 18:00: very low measured pressureBusiness workflow, 19:00: very low measured pressureBusiness workflow, 20:00: low measured pressureBusiness workflow, 21:00: low measured pressureBusiness workflow, 22:00: low measured pressureBusiness workflow, 23:00: very low measured pressureBusiness workflow, 00:00: very low measured pressureBusiness workflow, 01:00: very low measured pressure
Application / ALApplication / AL, 18:00: very low measured pressureApplication / AL, 19:00: very low measured pressureApplication / AL, 20:00: very low measured pressureApplication / AL, 21:00: low measured pressureApplication / AL, 22:00: low measured pressureApplication / AL, 23:00: very low measured pressureApplication / AL, 00:00: very low measured pressureApplication / AL, 01:00: very low measured pressure
Service tier (NST)Service tier (NST), 18:00: very low measured pressureService tier (NST), 19:00: low measured pressureService tier (NST), 20:00: low measured pressureService tier (NST), 21:00: moderate measured pressureService tier (NST), 22:00: moderate measured pressureService tier (NST), 23:00: low measured pressureService tier (NST), 00:00: very low measured pressureService tier (NST), 01:00: very low measured pressure
Database engineDatabase engine, 18:00: very low measured pressureDatabase engine, 19:00: low measured pressureDatabase engine, 20:00: moderate measured pressureDatabase engine, 21:00: elevated measured pressureDatabase engine, 22:00: elevated measured pressureDatabase engine, 23:00: moderate measured pressureDatabase engine, 00:00: low measured pressureDatabase engine, 01:00: very low measured pressure
Platform / AzurePlatform / Azure, 18:00: very low measured pressurePlatform / Azure, 19:00: very low measured pressurePlatform / Azure, 20:00: low measured pressurePlatform / Azure, 21:00: low measured pressurePlatform / Azure, 22:00: moderate measured pressurePlatform / Azure, 23:00: low measured pressurePlatform / Azure, 00:00: very low measured pressurePlatform / Azure, 01:00: very low measured pressure
Storage & computeStorage & compute, 18:00: low measured pressureStorage & compute, 19:00: moderate measured pressureStorage & compute, 20:00: elevated measured pressureStorage & compute, 21:00: high measured pressure, where the measurements convergeStorage & compute, 22:00: high measured pressure, where the measurements convergeStorage & compute, 23:00: elevated measured pressureStorage & compute, 00:00: moderate measured pressureStorage & compute, 01:00: low measured pressure
LowHigh measured pressureWhere the measurements converge

Reading: pressure is not in the application. It concentrates in storage latency once posting and reporting overlap — so adding compute would have bought nothing.

/ How an engagement runs

Collect. Correlate. Rank. Verify.

One business symptom, traced across the estate until the measurements agree. Every step is drawn here.

/ The engagement loopIllustrative · synthetic · not client data

Step one · collect

Signals from every layer — and consent before a single one is taken.

Six layers, sampled read-only: the business workflow, the application and AL, the service tier, the database engine, the platform, and storage. Nothing is collected before the scope is agreed in writing, and nothing needs write access.

Each lane is one layer of the estate. The ticks are sampled signals; the lines carry them into a single agreed collection boundary.
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Deterministic engine sampleGrade C · 63/100

Hot statement · 34.6% of DB time

Synthetic estate · deterministic engine · not customer data

/ Where we create leverage

A sharp entry point. A broader architecture lens.

Performance is often the first visible problem. Veltheon can stay with the system through reliability, modernization and the architecture around it.

  • Sustainable
  • Scalable
  • Secure
  • Future-ready
01 / PERFORMANCE

Business Central & database performance

Trace a slow workflow through the application, SQL Server or PostgreSQL, storage and network layers — then rank the fixes by evidence.

BC / NAV · SQL Server · PostgreSQL02 / RELIABILITY

Architecture, reliability & disaster recovery

Make the hard platform calls with failure domains, cost, observability and recovery in view — and prove the recovery on a clock rather than assuming it.

Azure · HA / DR · SRE · Scalability03 / MODERNIZATION

NAV, Business Central & data modernization

Move critical systems without treating migration as a file-copy exercise — preserve controls, reconcile the data and design the destination to operate well.

Dynamics NAV → BC · Data migration

/ Where we start

Before we redesign anything, we check what you are already carrying.

Two questions cost almost nothing to ask and are skipped more often than any others. How far behind the published release ladder is this estate? And does its behaviour match a failure pattern already written down?

Neither question is answered by software we sell you — today a practitioner asks them, by hand, at the start of the engagement. The release ladder is a matter of public record. The patterns are Veltheon’s own field notes; we do not redistribute any vendor’s bug database, and we do not treat the absence of a published fix as evidence that nothing is wrong.

/ The version gapIllustrative
Installed buildCurrent release
  • Unbounded growth in a housekeeping tableExample of a matched pattern

    A table that is only ever written to, never trimmed. Nothing looks broken for a long time, and then everything is slow at once.

  • Bulk insert quietly disabled by a subscriberExample of a pattern checked and not matched

    A single subscription can turn set-based writes into row-by-row ones across the whole system. Checked on every estate, and recorded as checked.

Illustrative. These are examples of the kind of pattern we keep, not findings from a customer system.

/ What you can expect

Evidence-driven, not model-driven.

Automation reads more of an estate than a person can. It does not get to decide what changes, or why — and it has never watched your month-end close.

  1. 01

    Evidence before opinion

    Separate measured facts from assumptions. Explain the finding, the evidence behind it and what remains unknown.

  2. 02

    Privacy and consent

    Agree the scope before collecting evidence. Start read-only and request only what the investigation needs.

  3. 03

    Clear ownership

    Make decisions, validation and operating responsibilities explicit. Leave your team with a handover it can review and use.

  4. 04

    Honest boundaries

    State what is proven and what is not. Recommendations are not permission to change production; implementation is separately scoped.

  5. 05

    Founder-led delivery

    The person who scopes the engagement is the person who runs it and answers for the result. No handoff to a junior bench after the sale.

Engagements are scoped, run and answered for by Neeraj Kumar, Founder and Principal Architect. The experience behind Veltheon →

Read our trust and security commitments

/ Latest

Field Notes

Enterprise Architecture · 10 editionsAll 11 posts

/ Start with the symptom

Bring the slow workflow, recurring incident or architecture decision.

We will identify the first evidence worth collecting and tell you plainly whether Veltheon is the right fit.

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