Cloud World Model

    Simulation Accuracy Benchmark

    Overall: 97.4% accurate

    How close is the Cloud World Model simulation to what AWS CloudWatch would actually report? This page answers that question with a side-by-side comparison of simulated vs. reference metrics across four traffic scenarios on a canonical three-tier AWS architecture.

    See also: Simulation Fidelity — benchmark data and accuracy ranges for all five cloud providers.

    Reference values are drawn from AWS documentation and published load-test studies — not from live CloudWatch streams. See the Methodology section below for full source citations.

    All Providers at a Glance
    Overall accuracy score and per-scenario scores for all five providers. Click a row to jump to its detailed results below.
    ProviderOverall
    AWS
    		97.4%
    GCP
    		97.9%
    Azure
    		97.8%
    Oracle Cloud (OCI)
    		96.2%
    DigitalOcean
    		97.4%

    Click any row to load that provider's full benchmark results below.

    CPU Accuracy by Scenario
    Simulated vs. documentation-reference CPU utilization at each traffic scenario. CPU is one of the largest single drivers of each provider's score, so this shows why a provider lands where it does — and makes future calibration changes visible at a glance. Each cell colors the simulated value by how closely it tracks the reference (green ≤ 10%, yellow ≤ 25%, red above 25% off).
    Provider
    Idle
    10 req/s
    Normal
    100 req/s
    Peak
    500 req/s
    Burst
    1,000 req/s
    AWS
    4.9%ref 5%
    19.1%ref 20%
    49.2%ref 52%
    74.9%ref 78%
    GCP
    6.3%ref 6%
    22.0%ref 22%
    57.3%ref 58%
    88.1%ref 84%
    Azure
    5.4%ref 5%
    18.5%ref 19%
    52.3%ref 54%
    86.1%ref 81%
    Oracle Cloud (OCI)
    4.3%ref 4%
    12.1%ref 12%
    44.4%ref 48%
    82.6%ref 78%
    DigitalOcean
    6.3%ref 6%
    15.4%ref 15%
    41.9%ref 44%
    70.3%ref 68%

    The top number is the simulator's CPU output; ref is the documentation-sourced reference. Click any row to load that provider's full benchmark below.

    6th-Gen AWS Instance Accuracy
    Per-instance benchmark scores for six 6th-generation AWS instance types (m6i, c6i, r6i) across all four traffic scenarios. Scores are derived from the same reference scenarios used by the canonical AWS benchmark above.
    InstanceOverall
    m6i.large99.5%
    m6i.xlarge99.2%
    c6i.large99.3%
    c6i.xlarge99.2%
    r6i.large98.8%
    r6i.xlarge98.1%

    Each row benchmarks the simulator against doc-sourced reference values for that specific instance type. Cost, Latency, and Perf are category averages across the four traffic scenarios.

    Select a provider to load its canonical benchmark automatically.

    AWS m5.large EC2 + db.r5.large RDS — latency, tail, CPU and error coefficients are all least-squares-fit to AWS's documented reference scenarios, the same method used for every other provider. The residual gap is real CloudWatch measurement noise in the references (mainly the P95 tail) that a smooth curve cannot track perfectly.

    Overall Simulation Accuracy: 97.4%

    Weighted composite across P50/P95 latency, CPU utilization, throughput, error rate, and cost — averaged over four traffic scenarios (Idle, Normal, Peak, Burst).

    Idle

    95%

    Normal

    97%

    Peak

    99%

    Burst

    98%

    Tune the Architecture
    Choose a cloud provider then adjust instance counts and types to see how simulation accuracy changes for your setup. Reference values stay fixed at the canonical AWS architecture — you're exploring how the simulator responds across providers and resource sizes.
    2
    110

    Results update the architecture diagram and scenario tables below.

    Canonical Architecture

    Custom AWS 3-Tier Web App
    us-east-1
    Application Load Balancer distributing traffic across 2× m5.large EC2 instances backed by a single db.r5.large RDS MySQL (us-east-1).
    RoleInstance TypeCountCost / hr
    Load Balancer
    		ALB (Application Load Balancer)1$0.0225
    Web / App Server
    		m5.large2$0.1920
    Database
    		db.r5.large (RDS MySQL)1$0.2400
    Total (official AWS pricing, us-east-1)$0.4545/hr

    Want to run this exact scenario yourself? Open the Simulation Workspace and configure the same resources.

    Traffic Scenario Comparisons

    Each table shows Reference vs. Simulated values, the percentage delta, and an accuracy badge (green ≥ 90%, yellow ≥ 75%, red below 75%).

    Idle
    10 req/s
    Composite score:95.1%
    Minimal background traffic — keep-alive checks, health probes, and occasional real requests.
    MetricReferenceSimulatedDeltaAccuracy
    P50 Latency12 ms12 ms+0.0%
    100%
    P95 Latency28 ms33 ms+17.9%
    82%
    CPU Utilization5.00% %4.90% %-2.0%
    98%
    Throughput10 req/s10 req/s+0.0%
    100%
    Error Rate0.10% %0.10% %+0.0%
    100%
    Cost / Hour$0.4545 $/hr$0.4538 $/hr-0.2%
    100%
    Normal
    100 req/s
    Composite score:97.4%
    Typical business-hours traffic with steady sustained load.
    MetricReferenceSimulatedDeltaAccuracy
    P50 Latency18 ms17 ms-5.6%
    94%
    P95 Latency45 ms44 ms-2.2%
    98%
    CPU Utilization20.00% %19.10% %-4.5%
    96%
    Throughput100 req/s100 req/s+0.0%
    100%
    Error Rate0.20% %0.20% %+0.0%
    100%
    Cost / Hour$0.4545 $/hr$0.4580 $/hr+0.8%
    99%
    Peak
    500 req/s
    Composite score:98.9%
    Peak business load — product launch, end-of-day batch, or marketing campaign spike.
    MetricReferenceSimulatedDeltaAccuracy
    P50 Latency38 ms38 ms+0.0%
    100%
    P95 Latency90 ms90 ms+0.0%
    100%
    CPU Utilization52.00% %49.20% %-5.4%
    95%
    Throughput498 req/s498 req/s+0.0%
    100%
    Error Rate0.40% %0.40% %+0.3%
    100%
    Cost / Hour$0.4545 $/hr$0.4532 $/hr-0.3%
    100%
    Burst
    1,000 req/s
    Composite score:98.4%
    Traffic burst exceeding normal peak — flash sale, viral event, or coordinated load test.
    MetricReferenceSimulatedDeltaAccuracy
    P50 Latency68 ms70 ms+2.9%
    97%
    P95 Latency160 ms159 ms-0.6%
    99%
    CPU Utilization78.00% %74.90% %-4.0%
    96%
    Throughput980 req/s980 req/s+0.0%
    100%
    Error Rate2.00% %2.00% %+0.0%
    100%
    Cost / Hour$0.4545 $/hr$0.4524 $/hr-0.5%
    100%
    Methodology & Reference Sources
    How reference values are derived and what each data source covers.

    Pricing accuracy is validated continuously via automated drift checks in CI. See the Simulation Fidelity page for per-provider cost benchmark details across all five cloud providers.

    Want to benchmark a different architecture? Open the Workspace to build and simulate any topology.

    Try the Simulation Yourself

    Load the same 3-tier AWS scenario in the interactive workspace and compare what you see with the reference values on this page.

    Open WorkspaceBrowse Scenarios