OPERATING SYMPTOM / 01
Telemetry bills keep rising
The workload grows, but no one can isolate the billable volume that can be changed safely.
What to test: Measure eligible units and costs against invoices. Retain all policy-required records.
OBSERVABILITY · SECURITY · FINOPS / INDEPENDENT RESEARCH
Control telemetry cost.
Keep the evidence that matters.
See how policy-aware telemetry handling can reduce unnecessary processing without abandoning auditability, incident response or the records your business must retain.
No proprietary source. No claimed customer savings. No production credentials needed.
Pay for useful telemetry. Prove what changes.See a reproducible example first. Fund only the workload-specific test that matters to your team.
WHAT THE BUYER CAN TEST
01 / THE SYMPTOMStorage, ingestion and enrichment bills grow. Aggressive filtering risks discarding the evidence your teams need during an incident.
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02 / A FALSIFIABLE TESTWhich telemetry is eligible for change, under which policy, and what will it actually save on the invoice?
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03 / THE ECONOMIC DECISIONInvoice-backed eligible usage, policy coverage, correctness, operating overhead and the buyer's net savings versus their existing pipeline.
01 / THE BUSINESS CASE
You are paying for more log volume, but still cannot say what can safely change.
Storage, ingestion and enrichment bills grow. Aggressive filtering risks discarding the evidence your teams need during an incident.
THE QUESTION
Which telemetry is eligible for change, under which policy, and what will it actually save on the invoice?
THE MEASUREMENT
Invoice-backed eligible usage, policy coverage, correctness, operating overhead and the buyer's net savings versus their existing pipeline.
THE DECISION
Keep the current stack if the added control produces no defensible incremental value.
02 / WHERE THE COST OR RISK APPEARS
Three symptoms your engineering team will recognise.
These are candidate industrial use cases—not invented customer deployments. Each can be scoped to a measurable, paid trial.
OPERATING SYMPTOM / 02
Sensitive fields reach logs
High-volume traces can include credentials, addresses or other values no one intended to retain.
What to test: Apply approved field-level masking and verify input/output integrity. No claim of external attestation.
OPERATING SYMPTOM / 03
Filters remove useful incident evidence
A cheaper pipeline is worthless if incident response loses necessary context.
What to test: Validate retention, error-path and audit requirements before accepting a saving.
Competitive baseline required. No savings claim is valid until the result is measured against the best working solution already available to the buyer.
03 / PUBLIC INTERACTIVE DEMO
Run it. Change it. Check the result.
This page runs a small, synthetic reference model inside your browser. The proof is reproducible, but it is not a benchmark of the proprietary production component.
STEP 1 / CHOOSE A SCENARIO
No receipt yet.
Input and output hashes are computed locally. A matching digest proves data equality, not ownership or independent certification.
STEP 2 / SEE WHAT HAPPENED
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A single tested scenario can be repeated and inspected; the numbers above refer only to that synthetic case.
Inspect the SHA-256 evidence and receipt
Input SHA-256
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Output SHA-256
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Receipt SHA-256
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Receipt summary
Run a scenario to generate a cryptographic receipt.
Technical reviewers: run all 9 scenarios and export the test suite
The scenario suite verifies internal consistency and SHA-256 receipts for the browser model. It does not certify an external production engine.
The full suite has not been run.
| Scenario | Status | Input SHA-256 | Receipt SHA-256 |
|---|---|---|---|
| Run the suite to inspect case-level hashes. | |||
Technical reviewers: analyse an approved CSV locally
Stream CSV: event_id and cache_key, or unique_key, agency, complaint_type and borough. State Guard CSV: operation_id and action. Candidate repetition does not establish a real saving. Do not use confidential or personal data on a public site.
No CSV selected. Nothing has been uploaded.
Awaiting an approved local file.
04 / EVIDENCE, NOT SLOGANS
What is supported—and what is not.
These numbers come from bounded historical research or the public synthetic model. None is represented as a customer achievement.
9/9Previous local synthetic regression cases
18/18Scoped OTLP/fault scenarios in historical candidate tests
0Verified customer savings claimed on this site
Scope boundary: The public demo is a separate browser-only example—not the confidential relay, a deployed tenant integration or a certified savings result.
What must a buyer-funded test still establish?
Choose one approved telemetry stream and a full billing period. Freeze the current retention requirements, compare unit costs with the existing stack, and accept only defensible net savings.
Technical acceptance means correctness, reproducible evidence, measurable overhead and an economically credible comparison against an already optimised alternative. Where those checks do not support a difference, the pilot should end without a product licence.
Industrial evidence / measured scope
9/9
Local regressions (historical)
18/18
OTLP/fault cases (historical)
120/120
Independent synthetic references
Measurement boundary: Previous scoped regressions: 9/9; historical OTLP/fault scenarios: 18/18; browser suite: 9 synthetic cases. No independently verified customer savings. Independent Linux 6.18.57 reference suite: 120/120 tests (steady, burst, fault, recovery; 30 each), not a proprietary-engine benchmark.
Evidence quality & eight acceptance gates (G0–G7)
Scope-qualified, not industrially certified. The comparison must remain falsifiable and include overhead, incorrect blocks, fallbacks, failure cases and net verified completed work.
G0 · EvidenceHash-linked independent reference logs retained privately; historical evidence is bounded; no external accreditation.
G1 · CorrectnessHistorical scoped tests plus 120/120 independent reference fixtures; private engine requires separate oracle.
G2 · Incremental valueNot demonstrated versus best optimized alternative in an independent customer-equivalent test.
G3 · Tail and scaleExisting local timings are scoped, not wire-to-wire or a production p99/p99.9 SLA.
G4 · Fault/recoveryNegative and recovery fixtures on independent reference only; engine-level chaos qualification pending.
G5 · Competitive baselineOptimized OpenTelemetry Collector configured with the same retention policy, failure cases and invoice units.
G6 · Security and IPPublic summaries only; no private code, thresholds, credentials, customer traces or raw logs.
G7 · Economic acceptanceNo independently verified customer cost savings. Private isolated tests do not establish production ROI.
Raw original logs remain private; SHA-256 alone is not independent validation.
OPEN TECHNICAL EVIDENCE · PUBLIC COMMERCIAL BOUNDARY
Evidence, scope and price — before a call
What the system does — and does not
At an OpenTelemetry-compatible ingest boundary, classify records against an approved retention/privacy policy; preserve required incident and audit events, apply permitted masking or minimization, then validate evidential integrity. This does not replace a production observability platform.
Industrial baseline: Optimized OpenTelemetry Collector policy, exact approved retention, masked-field and failure-path oracles, and invoice-backed ingest/processing units.
Scoped historical results: 9/9 historical local synthetic regressions; 18/18 scoped historical OTLP/fault scenarios; browser demo 9 synthetic fixtures. No measured customer saving or production relay certification.
Customer production net benefit, compliance and superior performance against a fully optimized incumbent remain to be established.
Reproducible 720-check reference archive
720/720 independent, simplified synthetic reference-model checks: six modules, four scenarios, thirty repetitions each. These are not proprietary engine benchmarks or verified savings. Reference ns figures are not product latency.
Download 720 raw JSONL recordsAll per-scenario resultsSHA-256 verification scriptExact synthetic reference harness (Python)Test scope and limitations
Original raw file SHA-256:
19b39154b7452809260bb3fb248971f2b871b6a38be9fc3c669ba4a7872f308cSHA integrity establishes data consistency, not independent industrial certification. Separate private kernel traces and proprietary source are not in this archive.
€4,500 · Fixed diagnostic perimeter
Fixed-scope diagnostic: €4,500. One approved bounded telemetry stream, one isolated non-production test environment and up to 30 paired repetitions per selected configuration/scenario where feasible. Competitor and acceptance metrics agreed in writing; unsupported tests explicitly marked NOT TESTED.
Included: one 45-minute kickoff, one 45-minute results call, one email clarification thread within five business days, an 8–12-page measured evidence dossier, aggregate results, SHA-256 manifest and GO / NO-GO / INCONCLUSIVE recommendation.
Payment: 50% at accepted signature and 50% upon delivery; applicable taxes per quote. Target ten business days after complete accepted inputs. Extra meetings, re-tests, datasets, environments and external costs require separate signed change orders.
Excluded: production operations or code edits, generic architectural consultancy, on-call, certification, guaranteed savings, engine source licence and ongoing support. Customer data remain private; owner retains algorithms and source. A documented NO-GO fulfills the diagnostic deliverable. The terms are public proposals, not binding before a signed quote and any required data/privacy terms.
Printable standard terms Download signed-scope preview (PDF) · Prepare a scoped technical enquiry
05 / COMMERCIAL NEXT STEP
Start small. Prove the value. Then discuss a licence.
The first request is for a short technical fit conversation about one narrow workload—not a platform replacement or an unqualified enterprise sales contract.
FUNDED DIAGNOSTIC
€4,500
Defined scope, one baseline, explicit acceptance criteria. A separate, optional paid PoV follows only if both sides agree the test is commercially meaningful.
01 / INITIAL REVENUE
Paid diagnostic
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One technical sponsor, one workload, written deliverables. Billed against the agreed scope.
02 / FUNDED VALIDATION
Proof of Value
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Separate milestone-based trial. No payment tied to a manufactured PASS.
03 / LATER REVENUE
Annual licence or measured upside
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A bounded, benefit-dependent licence only after acceptance; an alternative reduced fixed fee plus verified gain-share is negotiable.
Procurement and FinOps: see detailed pricing, alternatives and first-year economics
Indicative alternative: —. A variable arrangement replaces the full fixed licence; it is not automatically added to it.
BUYER ECONOMICS / START FROM ZERO
A hypothetical example is not a customer result. Diagnosis and PoV are separate paid engagements.
TRANSPARENT PAYMENT SCHEDULE
At engagement start (diagnostic + 40% PoV)—
PoV delivery milestone (60%)—
Illustrative annual licence—
Conditional annual variable—
Total first-year supplier fees—
Buyer net benefit after those fees—
Supplier share of annual net benefit—
Illustrative guardrails: licence ≤20% of verified annual net benefit; total supplier fees in year one ≤25%. This excludes tax, migration and customer-side costs.
06 / A DISCREET FIRST CONVERSATION
One problem. One sponsor. A test that can be accepted or rejected.
For VP Infrastructure · Observability Lead · FinOps · Security Engineering. Prepare a confidential evaluation request without exposing a proprietary algorithm, customer data or production credentials.
NO FORM SUBMISSION / DRAFT ONLY
The technical fit question
For the initial scoping discussion, we need:
01Real monthly bill and billable units
02Approved retention and privacy policies
03The strongest existing pipeline baseline
The tool prepares text locally. It has no lead-capture backend and sends no messages.
Your message draft will appear here. Nothing is sent automatically.
INCREMENTAL CONTROL · MEASURABLE VALUE
Evidence-preserving telemetry control at the ingest boundary.
Control boundary
Apply policy to eligible telemetry while retaining required incident and audit records. Add a narrowly scoped control step to an existing OTLP path rather than replacing the observability platform.
Why it adds value
Reduced chargeable ingestion is valuable only when records required by the customer survive. The economic test accounts for actual invoice units minus added processing and operating cost.
What is proven
Open the interactive synthetic Proof Lab, reproduce the inputs, inspect SHA-256 receipts and test tampering. The native engine and the commercial case have a separate qualification boundary.
Measurement method, baselines and limitations
Public synthetic scenarios and SHA-256 receipts are available. The industrial gate compares the candidate with an optimized OpenTelemetry Collector policy on exactly the same data, billing rules and failure cases.
Loris Longarini · Independent Technology Researcher · Deterministic Systems Architect · LinkedIn and technical background. Private IP retained; funded diagnostic, financed Proof of Value and licence are separate contractual stages.