Navigate

Use Cases

Performance testing for every workload

From web apps to AI systems, Barcable helps you catch performance issues before they reach production.

Web & internet apps

Keep web apps fast before the next traffic surge.

Barcable turns route diffs into browse->search->checkout journeys, then hammers staging with realistic spikes so slowdowns surface before customers feel them.

Modern web apps are fragile under real traffic

Launches, influencers, and seasonal events generate erratic demand that quickly overruns untested paths.

Auth, personalization, and cart logic stretch across many screens and states, so manual scripts miss the real flow.

Each click touches dozens of backend services, caches, and vendors that must all stay fast in lockstep.

Visitors expect instant feedback--seconds of delay equate to abandoned sessions and lost revenue.

Test-as-code built for web applications

Natural-language journey builder

Describe browse->search->checkout flows in plain English and let Barcable turn them into executable journeys that pull selectors, data, and auth steps from your repo.

Diff-aware coverage mapping

Each pull request auto-detects changed routes and components so new UI states gain NL-authored tests without manual scripting.

Global web scale load

Spin up cloud generators near each region to hammer frontends with millions of concurrent sessions, mimicking launch spikes and seasonal traffic.

APIs & microservices

Pressure test APIs before they crack in prod.

Barcable generates fan-out workflows across services, queues, and databases so you see saturation limits before customers do.

Why API stacks fail in surprising ways

Services depend on other services, caches, and queues--testing a single endpoint in isolation misses cross-system chaos.

Local smoke tests never recreate the 10k concurrent calls that light up connection pools and thread limits.

Real workflows span auth, reads, writes, retries, and orchestration logic that simple curl scripts cannot mimic.

Third-party APIs slow down, rate limit, or fail under load, and your stack must prove it can degrade gracefully.

Map directly to your API architecture

Plain-language flow composer

Type "auth the buyer, reserve inventory, then settle payment" and Barcable assembles the exact API calls, payloads, and assertions from your OpenAPI specs and code.

Protocol-scaled load

Replay those NL-defined journeys with millions of concurrent requests across REST, GraphQL, gRPC, or messaging to expose real saturation points.

Autonomous regression guardrails

Latency, error, and saturation budgets attach to each scenario so failing runs automatically block deployments.

Cloud infrastructure

Test cloud scaling before real users do.

Barcable mirrors geo traffic, bursts, and daily cycles so you can rehearse auto scaling, failovers, and runbooks safely in staging.

Cloud infra behaves differently at scale

Auto scaling rules that look fine in YAML often react seconds too late once CPU spikes for real.

Latency, routing, and replication patterns change once many regions and CDNs are busy at once.

Multi-tenant clusters invite noisy-neighbor contention that synthetic unit tests never see.

Inefficient scaling plans blow through budgets when resources surge without caps or right-sizing.

Validate cloud behavior end to end

Natural-language runbooks

Describe the scaling drill you want ("burst EU users, failover to us-west if latency spikes") and Barcable translates it into coordinated load + validation steps.

Geo-distributed generators

Spin up load from every required region/provider to mirror real user mixes and CDN behavior automatically.

Auto-scaling stress lab

NL scenarios trigger bursts, ramps, and step functions that hammer HPAs, ASGs, or serverless concurrency limits until the policy proves it can keep up.

AI & LLMs

Keep LLM apps reliable and cost-efficient.

Barcable models prompt chains, RAG flows, and multi-turn chats with high concurrency so AI workloads stay within latency and token budgets.

LLM workloads are hard to predict

Responses vary wildly in latency even for similar prompts, so simple averages lie.

Token costs explode when prompts, tool calls, or references balloon beyond expectations.

Long-running chats blow past context windows and memory footprints unless you test multi-turn stamina.

AI features hit embeddings, vector stores, and other downstream systems that must scale with the model.

Purpose-built for AI reliability

Natural-language prompt chains

Tell Barcable "simulate a five turn sales chat with follow-up RAG queries" and it wires up prompts, tool calls, and data fetches automatically.

Concurrency + token modeler

Scale NL-defined conversations to thousands of parallel sessions to expose GPU, CPU, and memory pressure while tracking token throughput.

AI-specific telemetry

Dashboards show p95/p99, tool latency, hallucination/error codes, and per-run token costs tied back to each scenario.

Ready to test your use case?

See how Barcable can help you ship with confidence.

Get started Talk to us