タグ
リリース準備状況
なぜソフトウェアの信頼性にSystem Graphが必要なのか
信頼性エージェントにはコンテキストが必要です。System Graphは、的を絞った検証、リスクスコアリング、より迅速なインシデント再現を可能にします。
自律型信頼性のROIを測定する方法
信頼性のROIは、自動化率ではなく、財務やエンジニアリングのリーダーがすでに実感している成果で測定すべきです。
Velocity Doesn't Kill Quality. Lack of Visibility Does.
Teams blame velocity for defects that are really failures of visibility. With graph-backed traceability from change to impact to evidence to owner, you ship fast and prove safety in the same motion.
The Silent Enemy: The Real Cost of Software Rework
Rework appears on no P&L line, yet it drains budgets, slips deadlines, and burns out engineers. We map where it hides and how to attack it before code merges.
A Reachability Model for AppSec: From Alerts to Velocity
Severity rates a vulnerability in isolation; reachability tells you whether it is exploitable in your running system. A reachability-driven model can cut exploitable exposure 70-90% while accelerating remediation.
Quality Intelligence: QA Is Becoming a Data Problem
QA is shifting from running predefined tests to Quality Intelligence: continuous, contextual, data-driven signal about whether the system actually works. The change is structural, and it reshapes what QA organizations own.
Six Industries, One Control Plane: Reliability Patterns
Retail POS, audit, certificate authorities, manufacturing, security ops, and systems integration share one reliability problem. One control plane, six deployment shapes. Here are the reusable patterns and how to choose between them.
Inside a Zof Run: The Five-Step Reliability Loop
We demystify "autonomous" by walking a single checkout change through the closed reliability loop, showing exactly what the agents do, what the human authorizes, and the evidence trail a run leaves behind.
