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SkillsMP 已收集 danilods/matilha-sysdesign-pack 中的 20 个 Skill。打开任一 Skill 可查看来源和详情。
已展示 20 / 20 个已收集 Skill。
Use when the user mentions system design, scalability, distributed systems, latency, throughput, availability, CAP theorem, database design, caching, rate limiting, CDN, microservices, SLA, NFR, capacity planning, bottleneck, message queue, or any topic…
原文语言：英语
Use when designing autocomplete / search suggestions — weighted trie for top-k prefix matches, query sampling, fuzzy matching, and pre-serve moderation.
原文语言：英语
Use when serving images, video, or downloads globally — places a CDN in front of an object store, names invalidation strategy, and handles private-content auth.
原文语言：英语
Use when handling message failures in a queue or stream — installs a DLQ with retry policy, backoff, alerting on growth, and a reprocess-after-fix flow.
原文语言：英语
Use when a design writes to two stores on one action (DB + Kafka, DB + cache, DB + search) or when deciding whether event sourcing is worth its complexity.
原文语言：英语
Use when deciding between Kafka and a simpler queue — picks Kafka for decoupling, ordered delivery, and replay, or rejects it for low-volume point-to-point work.
原文语言：英语
Use when designing write endpoints that may be retried — install idempotency keys, dedup stores, and at-most-once semantics to prevent duplicate effects.
原文语言：英语
Use when approaching a new system design — a 50-minute flow (requirements → API → data model/arch → deep dive → monitoring) that doubles as a spec-authoring template.
原文语言：英语
Use when deciding what to monitor and alert on — applies the 4 golden signals (Latency, Traffic, Errors, Saturation) and splits page-worthy from dashboard-only.
原文语言：英语
Use when designing a social feed (Twitter, Facebook, Instagram-style) and weighing fan-out on write vs fan-out on read, especially with celebrity-scale accounts.
原文语言：英语
Use when choosing a rate-limiting algorithm — picks token bucket, leaky bucket, fixed window, or sliding window and places it stateful vs stateless.
原文语言：英语
Use when designing a real-time top-K dashboard (top trending, top errors, top products) — count-min sketch for bounded memory, Lambda vs Kappa architecture, mandatory checkpointing.
原文语言：英语
Use when a team is about to make an architectural choice (X vs Y, SQL vs NoSQL, sync vs async) — forces explicit tradeoff articulation tied to NFR priorities.
原文语言：英语
Use when asked "qual LB usar?" / "HAProxy vs ALB?" — chooses between hardware, LBaaS, and software (HAProxy/NGINX), picks L4 vs L7, and handles sticky sessions + TLS termination.
原文语言：葡萄牙语
Use when asked "strong ou eventual consistency?" / "qual banco?" — forces CAP choice (CP vs AP), maps it to HBase/Mongo/Redis vs Cassandra/Dynamo, and selects coordination technique.
原文语言：葡萄牙语
Use when asked "como reduzir latency?" / "P99 alto" — sets target per percentile, distinguishes latency vs throughput vs bandwidth, and applies GeoDNS, CDN, caching, RPC-over-REST.
原文语言：葡萄牙语
Use when asked "como tolerar falhas?" / "o que fazer quando X cai?" — selects between circuit breaker, exponential backoff+jitter, bulkhead, DLQ, checkpointing, fallback, and replication patterns.
原文语言：葡萄牙语
Use when discussing SLA targets, uptime, or "quanto de downtime aceitável?" — translates availability tiers into minutes/hours, forces MTTR/MTBF awareness, and exposes CAP tradeoff cost.
原文语言：葡萄牙语
Use when asked "como escalo Y" or "vertical ou horizontal?" — decides between scaling up the host vs adding more hosts, and surfaces the stateless/shared-write trap.
原文语言：葡萄牙语
Use when about to draft system architecture or hear "antes de desenhar X" / "vamos modelar o sistema" — forces clarification of the 10 non-functional requirements before a single box gets drawn.
原文语言：葡萄牙语