Sim is an AI-native chaos engineering platform. It automatically generates failure scenarios, traces root-cause paths, and delivers blast radius reports in your CI/CD pipeline — before your code ships.
Sim 是 AI 原生的生產環境模擬平台。它在 CI/CD 流水線中自動執行混沌測試情境、 追蹤根因鏈路，並在程式碼上線前產生詳細的爆炸半徑報告。
500+ engineers on the waitlist · No spam, ever
已有超過 500 位工程師加入候補 · 不發垃圾信
No agents to deploy. No infra changes. Just add one YAML block to your pipeline.
不需部署代理程式、不需更改基礎設施。只要在流水線加一段 YAML 即可。
Add the Sim GitHub Action to your CI workflow. It reads your infra config, service mesh topology, and dependency graph automatically.
在 CI 工作流程中加入 Sim GitHub Action。它會自動讀取基礎設施配置、服務網格拓撲和依賴關係圖。
Sim's LLM engine analyzes your system and generates targeted chaos scenarios based on your actual service dependencies and historical failure patterns.
Sim 的 LLM 引擎分析你的系統，根據實際服務依賴關係和歷史故障模式，生成針對性的混沌測試情境。
Each scenario is run against your system model. Sim traces every failure propagation path and quantifies downstream impact across your entire service graph.
每個情境都會針對你的系統模型執行。Sim 追蹤每條故障傳播路徑，並量化整個服務圖的下游影響。
A concise blast radius report with root-cause analysis and fix recommendations is posted as a PR comment before your code ships to production.
在程式碼部署到生產環境之前，包含根因分析和修復建議的簡潔爆炸半徑報告會作為 PR 評論發布。
Before code merges, Sim simulates cross-service failure propagation so you know exactly which link breaks first — and which 3 AM alert to avoid.
在程式碼合併之前，Sim 就能模擬跨服務的故障傳播，讓你知道哪個環節會先斷，避免凌晨三點被叫醒。
Every simulation ships with root-cause traces, impacted service lists, and estimated user impact — readable in under 5 minutes, actionable in under 10.
每次模擬都附上根因追蹤、受影響服務清單與預估用戶影響比例，5 分鐘看完，10 分鐘內可採取行動。
One YAML block is all it takes. Sim reads your infra config, generates scenarios, and posts the report as a PR comment — no agents, no sidecars.
一行 YAML 即可加入流水線。Sim 自動讀取基礎設施配置，產生情境並回報結果，無需代理程式或 sidecar。
Sim learns from your actual topology and generates realistic failure modes — network partitions, latency spikes, resource exhaustion — tailored to your stack.
Sim 從你的實際拓撲學習並生成真實的故障模式——網路分割、延遲尖峰、資源耗盡——完全針對你的技術棧定制。
Automatically discovers and maps all service-to-service dependencies in your Kubernetes cluster. No manual config. Always up to date.
自動發現並映射 Kubernetes 叢集中所有服務間的依賴關係。無需手動配置，始終保持最新狀態。
Import your past incidents and let Sim replay them through your current architecture to verify you've actually fixed the root cause — not just the symptom.
匯入過去的事故，讓 Sim 在你當前的架構中回放，驗證你是否真正修復了根本原因，而不僅僅是症狀。
Whether you run microservices, event-driven architectures, or multi-cloud environments, Sim finds weak points before they page you.
不論你在維護微服務、事件驅動架構還是多雲環境，Sim 都能幫你在故障真正影響用戶之前，找出系統的薄弱環節。
If you've been woken at 3 AM by PagerDuty and spent two hours finding the root cause — Sim is for you.
如果你曾在凌晨三點被 PagerDuty 叫醒，卻花了兩小時才找到根因——Sim 就是為你而生的。
Finally, a tool that shows me blast radius before I merge. We caught a Redis connection pool issue that would have taken down checkout for 23% of users.
終於有工具能在合併前顯示爆炸半徑了。我們發現了一個 Redis 連線池問題，那本可能導致 23% 的用戶無法結帳。
Set up in 5 minutes. The first report flagged a cascading failure path we'd never considered. Our on-call rotation is much quieter now.
5 分鐘完成設置。第一份報告就標記了我們從未考慮過的級聯故障路徑。我們的 on-call 輪班現在安靜多了。
The incident replay feature is wild. We replayed our worst outage and found we hadn't actually fixed the root cause — just the visible symptom.
事故回放功能太棒了。我們回放了最嚴重的一次宕機，發現我們其實沒有真正修復根因，只是處理了表面症狀。
v1 Beta is opening soon. Join the waitlist and get your invite first.
v1 Beta 即將開放，名額有限。現在加入候補名單，第一時間收到邀請。
Or check out the source code on GitHub
或直接查看 原始碼 on GitHub