LogoMicroservice
Live Architecture Estimator
v2.4.1

Your monolith, decomposed.
The numbers don't lie.

Input your current architecture specs. Watch a real-time simulation project latency reduction, failure isolation gains, and infrastructure cost delta — calibrated against 14 production meshes and 387 catalogued failure modes.

Input Parameters

2,500req/s
10050,000
180ms
10ms2,000ms
8services
140

Latency Reduction

45.2%

vs. current monolith baseline

Failure Isolation

76.8%

blast radius reduction

Infra Cost Delta

-22.4%

projected YoY savings

P99 Latency

47.2ms

inter-service projected

MTTR

14.6min

mean time to recovery

Optimal Services

18

recommended decomposition

Projections calibrated against 14 production meshes · 387 failure modes · 11B+ requests analyzed

4.2msMedian P50 Latency
99.997%Uptime SLA Across Meshes
387Failure Modes Catalogued
14Production Meshes Benchmarked
11B+Requests Analyzed
73%Avg MTTR Improvement
42Cascading Failure Patterns
9Service Mesh Vendors Tested
2.3TInter-Service Calls / Day
61%Latency Reduction Median
4.2msMedian P50 Latency
99.997%Uptime SLA Across Meshes
387Failure Modes Catalogued
14Production Meshes Benchmarked
11B+Requests Analyzed
73%Avg MTTR Improvement
42Cascading Failure Patterns
9Service Mesh Vendors Tested
2.3TInter-Service Calls / Day
61%Latency Reduction Median
02 /
Latency Benchmarks
0ms

median inter-service latency across 14 production meshes

We ran 11 billion requests across Istio, Linkerd, Consul Connect, AWS App Mesh, and 10 additional meshes over 18 months. The 4.2ms figure is the P50 across all meshes under sustained load — not vendor sandbox conditions. P99 stays under 12ms on properly configured Kubernetes clusters with ≤ 3 network hops.

P50 Latency

4.2ms

across all meshes

P99 Latency

11.8ms

under peak load

Throughput Gain

3.4×

vs. monolith baseline

Network Overhead

0.8ms

sidecar proxy cost

24-Hour Latency Profile

Monolith vs. microservices under production traffic patterns

Download Dataset

Methodology

All benchmarks run on identical hardware: 3-node Kubernetes clusters (c5.2xlarge), synthetic load via k6 matching production traffic shapes from 6 Fortune 500 partners. Data collected over 18 months, Q1 2024 – Q2 2025. Full methodology available in the downloadable benchmark suite.

03 /
Failure Catalog
0

failure modes catalogued across 18 months of production observation

Every failure mode is tagged with root cause taxonomy, blast radius, MTTR distribution, and a reproducible test harness. We've seen the 3 AM pages. We've reverse-engineered why they happen. The catalog is the difference between debugging with intuition and debugging with evidence.

ID
Category
Failure Mode
Frequency
Severity
MTTR
Pattern
FM-001
Network
Cascading Timeout Storm
94%
critical
18 min
Exponential backoff collapse
FM-002
State
Split-Brain Cache Divergence
72%
critical
34 min
Stale read amplification
FM-003
Load
Thread Pool Exhaustion
88%
high
9 min
Blocking I/O saturation
FM-004
Discovery
Service Registry Stale Entries
61%
high
7 min
DNS TTL misconfiguration
FM-005
Circuit
Half-Open State Loop
45%
high
12 min
Premature circuit recovery
FM-006
Auth
Token Propagation Failure
38%
medium
5 min
JWT clock skew
FM-007
Network
Head-of-Line Blocking
79%
high
6 min
HTTP/1.1 connection reuse
FM-008
Data
Saga Compensation Deadlock
29%
critical
52 min
Distributed transaction rollback

Showing 8 of 387 catalogued failure modes

04 /
Mesh Comparison
0.000%

uptime across 14 benchmarked service meshes

Vendor claims don't survive contact with production traffic. We ran identical workloads — 2,500 req/s with simulated failure injection — across every major service mesh. Uptime, latency, operational complexity, and MTTR measured under the same conditions. No sandbox. No cherry-picked scenarios.

Meshes Tested

14

across 3 cloud providers

Best P50

2.7ms

Cilium under 2,500 req/s

Worst P99

24.1ms

under failure injection

Avg Overhead

0.78ms

sidecar proxy cost

Cilium Service MeshREC
Isovalent
99.999%
2.7
7.1
0.3ms
High
2.8min
LinkerdREC
Buoyant
99.998%
3.1
8.4
0.4ms
Low
3.2min
AWS App Mesh
Amazon
99.997%
3.9
11.1
0.7ms
Medium
4.4min
Istio
Google/CNCF
99.996%
4.8
14.2
1.2ms
High
5.8min
Consul Connect
HashiCorp
99.994%
5.2
16.8
0.9ms
Medium
6.1min
Kuma
Kong
99.993%
5.8
18.4
1ms
Medium
7.2min
NGINX Service Mesh
F5
99.992%
6.1
19.3
0.9ms
Medium
7.9min
Traefik Mesh
Traefik Labs
99.991%
6.4
20.1
0.8ms
Low
8.4min

Click column headers to sort · Green border = recommended for most workloads

05 /
Benchmark Suite

Everything your team needs
to ship with confidence.

The benchmark suite is the same toolkit our research team uses internally. Raw data, reproducible tests, and the CLI that generated every number on this page.

Latency Benchmark Suite

14 mesh configs, k6 scripts, raw CSV datasets

Failure Catalog (387 modes)

Reproducible test harnesses for each failure pattern

Mesh Comparison Report

Full methodology, raw data, and scoring rubric

Load Injection CLI

Synthetic traffic generator matching production shapes

Architecture Estimator

Offline version of the web calculator with your data

Chaos Engineering Playbook

28 scenarios with expected blast radius and recovery steps

Download Benchmark Suite

Free

Platform

4,100+

Downloads

No CC

Required

MIT

Licensed