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Benchmark framework · results pending

Enterprise Deployment Benchmarks

Measure execution latency and evidence handling across cloud, edge, endpoint, and enclave runners, without claiming superiority over unnamed competitors.

Benchmark framework, results pending. Methodology and measurement definitions are published; performance numbers appear only after completed runs.
Why this benchmark matters

Deployment flexibility is only credible when latency, success rates, and evidence/redaction timings are measured per execution plane. Buyers in restricted networks need reproducible numbers tied to topology.

Metrics measured

What this suite tracks

seconds

Cloud execution latency

p50/p95 time from dispatch to completed scenario with evidence.

seconds

Edge runner execution latency

Same measurement for edge-resident runners close to target systems.

rate

Endpoint agent execution success

Successful governed runs on endpoint agents under policy constraints.

rate

Secure enclave / local runner workflow

End-to-end success for enclave or air-gapped runner profiles.

seconds

Evidence bundle generation time

Time to produce signed evidence bundle after scenario completion.

seconds

Artifact upload / redaction time

Time to upload or redact artifacts according to policy.

Methodology

How we measure

Each plane reports latency distributions, success rates, and evidence/redaction timings under stated policies. Cross-plane comparisons use identical scenario packs.

Test environmentRepresentative topologies: SaaS control plane + cloud runners, customer VPC edge runners, endpoint agents on managed devices, and enclave/local runner with egress restrictions.
Dataset / workloadStandard scenario pack (read-only and approved write paths) executed on each plane. Network RTT and artifact sizes documented.
Sample sizeMinimum 100 scenarios × 4 deployment planes (to be confirmed at first run).
Number of runs10 runs per scenario per plane; cold and warm starts separated.
VarianceNot yet measured. Future runs will report p50, p95, and coefficient of variation.
Excluded runsNone defined until first benchmark run is completed.
Date last runPending first benchmark run
Version testedPending first benchmark run
RepeatabilityTopology diagrams, runner versions, and policy bundles ship with each benchmark pack. Planes without completed runs are omitted from results tables.

Assumptions

  • -Policies define allowed egress, storage, and redaction rules.
  • -Customer-managed keys used where enclave profile requires them.
  • -Latency includes control-plane dispatch overhead unless noted.
Results

Results pending first benchmark run

This page does not display performance numbers until completed runs pass validation. When published, results include confidence ranges and sample sizes.

MetricValueConfidence rangeNotes
Cloud execution latencyPending-Awaiting completed runs
Edge runner execution latencyPending-Awaiting completed runs
Endpoint agent execution successPending-Awaiting completed runs
Secure enclave / local runner workflowPending-Awaiting completed runs
Evidence bundle generation timePending-Awaiting completed runs
Artifact upload / redaction timePending-Awaiting completed runs
Comparisons

Factual capability comparisons

These tables describe architectural fit, not hostile competitor rankings or unverified speed claims.

Zof vs cloud-only testing tools

Compares execution reach and evidence handling, not SaaS vs self-hosted billing models.

DimensionZof AICloud-only execution
Edge / on-prem runner support
YesPartial
Enclave / air-gapped profile
YesNo
Endpoint agent execution
YesNo
Signed evidence bundles
YesPartial
Policy-driven artifact redaction
YesPartial

Some cloud vendors offer private link; evaluate their published deployment docs against your residency requirements. Quantitative comparison results are not published yet.

Limitations

What this benchmark does not claim

  • -Your network path, residency rules, and agent placement will differ from reference topologies.
  • -Enclave benchmarks require customer-specific hardening; lab numbers may not transfer directly.
  • -Until runs complete, no latency or success-rate claims are published.

Enterprise interpretation

Compare deployment options on evidence handling and execution reliability, not marketing checklists. Published tables will show per-plane distributions with sample sizes.

Next steps

Evaluate Zof against your reliability requirements

Review methodology, run a structured assessment, or benchmark against your workflow with enterprise architects.

01The operational surface

One surface for posture, operations, and what needs attention next.

Zof Console at console.zof.ai is the authenticated operational surface engineering, QA, and SRE teams use every day: quality posture, in-flight runs, coverage by module, and the actions that need attention next.

OPERATIONAL KPIs

  • Runs
  • Coverage
  • Risk

Live across every environment you ship to.

WORK SPINE

  • Specs
  • Tests
  • Schedules

From specification to scheduled regression.

GUARDRAILS

  • RBAC
  • SSO
  • audit

Every action attributable to a named human.

LIVE/console
Zof AI home command center showing 12 runs at 94% pass, 3 open critical issues, 84% coverage, four module traceability bars, the specification pipeline, upcoming schedules, and recommended next actions with an active-runs sidebar.
Console home · Checkout Service · Staging · captured live from the product.
  • 01 · RUNS · 24H

    94% pass

    12 runs across staging

  • 02 · COVERAGE

    84%

    Across four modules

  • 03 · ACTIVE RUNS

    3 running

    Live on this branch

  • 04 · NEXT ACTIONS

    Recommended

    Triage gaps, new spec

Secure Deployment Benchmark | Zof AI