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config-distribution

dynamic config distribution

AWS AppConfig, Consul KV

SystemTechniques · 9Primitives · 36 config-distribution Pub/sub fan-outdistributed · medium: Deliver one published message to every subscriber of a topic by sharing one encoded payload and giving each connection a bounded queue with an explicit slow-consumer policy.›Raftdistributed · medium: Leader-based consensus on a replicated log; one leader per term, majority commit; the default for a strongly consistent replicated state machine.›Watch notificationsdistributed · medium: A store numbers every write; clients list at revision R, then watch from R+1 and receive an ordered change stream with no gap, no duplicate, and a resume point.›Feature flag evaluationsystems · medium: Local evaluation of targeting rules and percentage rollouts from a flag snapshotStaged rolloutsystems · medium: Rolling, blue-green and canary rollout with health gates and automatic rollbackState-machine snapshotsdistributed · medium: Periodically save the state a log has produced at index i so the log prefix can be deleted; recovery and catch-up become load snapshot plus replay suffix.›MVCCstorage · medium: Keep timestamped versions of each row so readers see a consistent snapshot without blocking writers; the default concurrency control in modern databases.›Exponential backoff with jittersystems · low: Retry after delays that grow geometrically and are randomized, so failed clients spread out instead of hammering a recovering service in synchronized waves.›Delta encodingcompression · low: Store differences between consecutive values instead of the values, turning sorted IDs, timestamps and counters into small numbers that pack into few bits.›Long pollingnetworking · low: The client asks "anything after cursor X?"; the server holds the request until there is news or a timeout, and the client immediately asks again.›Digital signatures (Ed25519)security · low: Small, fast, deterministic public-key signatures that prove who produced a message; the default for tokens, releases and protocols.›JSON Schema validationsecurity · low: Compile a JSON Schema once, then check every untrusted document against it, within hard size and depth limits, and report failures as JSON Pointers.›Content-addressed storagestorage · low: Store each blob under the hash of its bytes: immutable, deduplicated by construction, self-verifying on every read, and composable into Merkle trees.›SPSC ring bufferdata-structures · low: Bounded wait-free queue for exactly one producer and one consumer thread, built from an array and two indices with acquire/release ordering.›Topic matching triedata-structures · low: Trie over topic levels with + and # wildcards for subscription matchingBackpressuresystems · low: Bound every queue and make a full queue push back on the producer by blocking, dropping, rejecting or withholding credit.›Leasesdistributed · low: A lock that expires on its own: bounded-time ownership that survives crashes and partitions, given bounded clock drift and fencing tokens on writes.›Write-ahead logstorage · low: Append each change to a checksummed sequential log and fsync it before touching data pages; the basis of crash durability in nearly every database.›Message sequence numbersdistributed · low: A per-stream counter on every message lets the receiver detect loss, duplicates and reordering, ack cheaply and resume after reconnect with "send from N".›Grpc protocolnetworking · low: GRPC framing over HTTP/2: unary and streaming RPCs, deadlines, statusFast hash functionsdata-structures · low: Non-cryptographic hashes built from 64×64→128-bit multiplies and xor-shifts; pick by key size, trust level and whether the hash is persisted.›Deterministic bucketingsystems · low: Hash a stable unit id with a per-purpose salt into a bucket; "in" means bucket below the percentage, so assignment is stateless, repeatable and only grows on ramp-up.›Stale while revalidatesystems · low: Serving cached data past TTL while refreshing in the background, with request coalescing+ 2 more techniques+ 20 more primitives

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