strikeloop visualization
For developers, CTOs, and startup teams shipping fast

Choose the right infrastructure decisions before they become expensive mistakes.

strikeloop integrates with your codebase and cloud context to analyze, simulate, and validate architecture, scaling, cost, and security decisions, then explains tradeoffs for confident approval.

Read-only access • No auto-deploy • Team approval required
The Problem

Most infrastructure plans take weeks and still go wrong.

55% of developers admit infrastructure decisions are based on guesswork and nearly 30% of cloud spend is wasted because of it.

Overprovisioning (real stat): 82% of Kubernetes workloads are overprovisioned

Teams allocate extra capacity to stay safe—most of it sits unused.

Utilization reality: most systems use less than 30% of allocated compute

The majority of infrastructure runs idle while costs scale with capacity.

Visibility gap: less than half of teams have real visibility into infrastructure usage

Overprovisioning, underutilization, and waste go unnoticed until the bill arrives.

The real problem: infrastructure is tested for the first time in production

No simulation, no validation—real traffic becomes the first real test.

infra-waste-audit.report
Before strikeloop

RESOURCE WASTE DETECTED github.com/acme/payments-api

API Server × 4 (over-provisioned)
$840/mo+62%
RDS db.m5.large (30% avg utilisation)
$320/mo+44%
Orphaned Lambda execution budget
$180/mo+21%
Unused cross-region S3 transfer
$64/mo+8%
Total identified waste$1,404/mo
78% of budget

→ strikeloop identified these before deployment. Total fix: 2 hours.

How it works

Four steps. Zero guesswork.

We don't just read best practices and tell you what to do. We simulate your entire stack in an isolated sandbox, run real stress tests, learn your traffic patterns, then recommend with evidence and reasoning behind every decision.

01Codebase integration

Connect your codebase

Read-only Codebase access. strikeloop scans your routes, queries, background jobs, and dependencies. No cloud credentials or deploy permissions needed.

strikeloop step 01
> Connecting github.com/acme/payments-api
✓ Read-only access granted
→ Scanning 847 files across 12 services…
✓ Repository indexed in 4.2s
02Workload analysis

AI maps your real workload

Every route, query, job, and dependency is modelled. Traffic patterns, peak load windows, and scaling bottlenecks are derived from your actual code not industry averages, not guesses.

strikeloop step 02
→ Mapped 34 API routes + 12 DB schemas
→ Detected: BullMQ job queue (3 workers)
→ Load estimate: 2,400 req/day baseline
✓ Workload model complete
03Sandbox simulation

Simulate, stress-test & automate

We spin up a sandboxed replica of your stack and actually run it. Load tests, chaos probes, security scans. The AI then watches real-time metrics, learns your traffic patterns, and recommends smart automation scheduled scale-ups, pre-emptive failovers, and security hardening so your infra adapts before incidents happen, not after.

strikeloop step 03
→ Sandbox provisioned · isolated environment
→ Load test · 10k req/min burst · 3 runs
⚠ p99 latency spike detected at 6,200 req/min
→ Chaos probe: DB failover tested · 340ms recovery
→ Security scan: 94 attack vectors probed
✓ 0 critical CVEs · 2 medium (patches ready)
→ Traffic pattern: peak Mon–Fri 09:00–11:00 UTC
⚡ Auto-scale rule → +2 nodes at 08:50 UTC daily
⚡ Security rule → rate-limit /api/auth > 50 req/s
✓ Simulation complete · confidence score: 97%
04Human approval

Review, modify, approve

Terraform code, cost forecast, architecture diagram, security findings, and automation schedules all explained with reasoning, all pending your team's explicit sign-off. Nothing is deployed or changed without human approval.

strikeloop step 04
→ 3 infra scenarios + simulation report ready
✓ Optimal: ECS Fargate + RDS t3.medium
→ Projected cost: $2,840/mo (−18%)
→ 2 automation rules pending approval
⏳ Awaiting team sign-off…
Always on

A system that never sleeps.

Strikeloop integrates into your development and infrastructure workflow continuously analyzing system behavior, simulating decisions, and adapting infrastructure over time.

01

Understands continuously

Reads every codebase change, dependency update, and workflow shift the moment it happens.

understandlive
Watching github.com/acme/payments-api
commit 9f3a2c · 14 files changed
✓ Dependency graph updated (847 nodes)
New route detected: POST /api/v2/refund
Model re-index complete in 1.8s
stream active
02

Simulates continuously

Runs infra decisions through a live sandbox. Re-evaluates every time the system changes.

simulatelive
Sandbox sync triggered by commit 9f3a2c
Load test: 12,000 req/min burst · 3 runs
⚠ New bottleneck at /api/v2/refund (p99 820ms)
Re-evaluating ECS task sizing…
✓ Simulation complete · confidence: 96%
stream active
03

Adapts continuously

Responds to traffic shifts, cost signals, and performance changes before incidents occur.

adaptlive
Traffic spike detected · Mon 09:02 UTC
Auto-scale rule fired · +3 nodes pre-emptive
Cost delta: +$14/day vs. $3,400 incident risk
Hardening rule proposed: rate-limit /refund
✓ Adapted. Awaiting team sign-off.
stream active
strikeloop Private Beta

Ship infrastructure that actually fits.

Don't guess. Simulate, verify, and approve before a single resource is touched.

Join the waitlist

Get early access, shape the roadmap, and lock in founding-team pricing.

Early access before public launch
Direct input on features & roadmap

No spam. No marketing blasts. Just your spot when it's ready.