8 件 ・ 関連度順
概要と使いどころ
Generates guidance for reliability, resilience, availability, redundancy, fault-tolerance, and disaster recovery (DR) for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework. Use when the user asks to evaluate, design, or improve the reliability, resilience, availability, or disaster recovery capabilities of Google Cloud workloads.
日本語の概要は準備中です。原文の説明を表示しています。
Resilience testing specialist for failure injection, game day planning, and building confidence in system reliabilityUse when "chaos engineering, resilience testing, failure injection, game day, fault tolerance, chaos experiment, disaster recovery, reliability testing, chaos-engineering, resilience, failure-injection, game-day, fault-tolerance, reliability, testing, litmus, chaos-monkey, ml-memory" mentioned.
日本語の概要は準備中です。原文の説明を表示しています。
Implement circuit breaker logic for agentic tool calls — tracking tool health, transitioning between closed/open/half-open states, reducing task scope when tools fail, routing to alternatives via capability maps, and enforcing failure budgets to prevent error accumulation. Separates orchestration (deciding what to attempt) from execution (calling tools), following the expeditor pattern. Use when building agents that depend on multiple tools with varying reliability, designing fault-tolerant agentic workflows, recovering gracefully from tool outages mid-task, or hardening existing agents against cascading tool failures.
日本語の概要は準備中です。原文の説明を表示しています。
Generates guidance for reliability, resilience, availability, redundancy, fault-tolerance, and disaster recovery (DR) for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework. Use when the user asks to evaluate, design, or improve the reliability, resilience, availability, or disaster recovery capabilities of Google Cloud workloads.
日本語の概要は準備中です。原文の説明を表示しています。
Foundational impossibility result proving consensus cannot be guaranteed in asynchronous systems with even one faulty process
日本語の概要は準備中です。原文の説明を表示しています。
Foundational distributed computing algorithms for consensus, coordination, and fault tolerance
日本語の概要は準備中です。原文の説明を表示しています。
Foundational impossibility result proving consensus cannot be guaranteed in asynchronous systems with even one faulty process
日本語の概要は準備中です。原文の説明を表示しています。
Foundational distributed computing algorithms for consensus, coordination, and fault tolerance
日本語の概要は準備中です。原文の説明を表示しています。