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Build resilient
infrastructure
with agents

Autonomous agents that harden your systems, detect failures before they cascade, and self-heal in real time. Infrastructure that gets stronger under pressure.

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CHAOS EXPERIMENT #247 RUNNING ELAPSED 02:47 INFRASTRUCTURE MONITORING API gateway PG primary FAULT INJECTED K8S cluster REDIS cache WORKER pool QUEUE kafka pod pod pod pod pod pod 5/6 healthy | 1 degraded LATENCY (p99) 284ms +340% chaos CPU USAGE 73% +45% LIVE EVENTS 02:47 PG connection pool saturated 02:45 Worker latency spike detected 02:44 Auto-scaled to 6 replicas 02:42 Chaos: insert_load 5k rows/s 02:40 Experiment #247 started SKILLS insert_load config_change pod_kill ROLLBACK READY

Products

Resilience across
every layer

From chaos testing to self-healing orchestration, everything you need to build infrastructure that withstands the unexpected.

Chaos Agents

Autonomous chaos engineering agents that discover infrastructure, inject faults, and auto-rollback. Test resilience across databases, Kubernetes, and servers.

Database Chaos

Schema-aware load injection, concurrent updates, adversarial selects, and live config mutation. PostgreSQL and MySQL.

Kubernetes Chaos

Pod kills, node eviction, network partitions, resource stress. Discover workloads across namespaces automatically.

Server Chaos

Disk fill, process termination, permission scramble, and port saturation over SSH. Auto-discovers running services.

LIFO Rollback

Every action captures pre-mutation state. Rollback happens in reverse order. Guaranteed state restoration, even on crash.

LLM-Driven Planning

Describe chaos in plain English. The LLM agent compiles it into a runnable experiment using Anthropic, OpenAI, or Ollama.

The Platform

Self-healing agents.
Unbreakable systems.

Declarative config, self-healing runtimes, and horizontal scaling -- the primitives that made infrastructure resilient, now powering autonomous agent orchestration.

DETECT ISOLATE HEAL VERIFY S32 CORE PostgreSQL 3 replicas · healthy Kafka 12 partitions · scaling Kubernetes 48 pods · self-healing API Gateway 18k req/min · p99: 23ms Redis Cluster 6 nodes · 99.99% uptime Vault secrets sealed · rotated All agents autonomous resilience score: 98.7 last incident auto-healed 4h ago
01
Self-Healing Runtime
Failed agents are automatically restarted and rescheduled. Define desired state -- System32 continuously reconciles reality to match.
02
Horizontal Scaling
Scale agent pools from one to thousands based on demand, custom metrics, or schedules. Zero capacity planning required.
03
RBAC & Governance
Fine-grained role-based access control, policy enforcement, and approval workflows. Enterprise governance built in, not bolted on.
04
Multi-Tenant Workspaces
Logical isolation for teams, environments, and workloads. Resource quotas enforced at the workspace boundary.
05
Immutable Audit Trail
Every agent action, config change, and access event is logged. Full audit trail for compliance, SOC 2, and forensic analysis.
06
GitOps Native
Define agent infrastructure as code. Version-controlled configs, PR-based reviews, and automated rollbacks via your Git workflow.

Infrastructure

From fragile
to fault-tolerant
in minutes

Deploy agents that continuously test, monitor, and strengthen your systems. We handle the orchestration so you can focus on building what matters.

Zero Configuration Intelligent defaults that just work
Auto-Scaling Elastic infrastructure that grows with you
Multi-Cloud Deploy anywhere without vendor lock-in
terminal
$ chaos plan --target postgres://prod-db:5432
[DISCOVER] Connected, found 14 tables
[PLAN] insert_load → orders, payments (5k rows/s)
[PLAN] config_change → work_mem = 8MB
[READY] Plan saved. Run with --execute
 
$ chaos run --config experiments.yaml
[EXECUTE] insert_load: 5000 rows/s
[EXECUTE] config_change: work_mem = 8MB
[WAIT] Duration: 5m remaining
[ROLLBACK] All actions reverted ✓

Build infrastructure
that never breaks

Join teams using System32 to make their systems self-healing, chaos-tested, and resilient by default.

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