Politique de cache

TTL selection#

bouine picks freshness in this order:

1. CDN-Cache-Control (RFC 9211 targeted header — overrides Cache-Control for shared caches)
2. s-maxage
3. max-age
4. Expires (valid dates only; syntactically invalid Expires values are ignored)
5. Route ttl_default (operator fallback when origin sends no freshness)
6. Heuristic freshness from Last-Modified (10% of Date − Last-Modified, where allowed by status code)

If the route has ttl_override set, its value replaces the result of this waterfall entirely. See TTL override below.

TTL override#

ttl_override forces bouine’s internal cache lifetime to a specific value, regardless of what max-age, s-maxage, CDN-Cache-Control, or Expires the origin sends. The upstream’s response headers are forwarded to downstream clients unaltered — only bouine’s internal freshness counter changes.

routes:
  - name: api
    match: { path_prefix: /api/ }
    pool: backend
    cache:
      ttl_override: 1h    # bouine caches for 1 h
      ttl_default:  30s   # fallback if origin sends no freshness headers
      stale_while_revalidate: 5m

Why it exists: bouine in front of a downstream CDN#

The canonical use case is a bouine → Cloudflare (or bouine → any CDN) stack where you want to control the two caches independently:

Service → bouine → Cloudflare → Client

The service emits Cache-Control: max-age=60. Without ttl_override:

• bouine caches for 60 s, revalidates after each minute.
• Cloudflare sees Cache-Control: max-age=60 and also caches for 60 s.

With ttl_override: 1h:

• bouine caches for 1 h. The service is hit once per hour per bouine node instead of once per minute.
• Cloudflare still receives Cache-Control: max-age=60 unaltered and caches for 60 s at the edge.
• Clients get low edge latency (Cloudflare’s 60 s cache) while the origin is shielded by bouine’s much longer storage window.

TTL override does not mutate the forwarded headers. Cache-Control: max-age=60 is what Cloudflare (and browsers) see. Only bouine’s internal storage lifetime changes.

What the override does NOT affect#

no-store and private are evaluated before the object is stored; the override never runs for these responses.

Revalidation behaviour#

When bouine’s override TTL expires it performs a conditional revalidation (If-None-Match / If-Modified-Since). If the origin returns 304 Not Modified, the override TTL is re-applied to the refreshed object — the object does not revert to the origin’s max-age. A full 200 is stored fresh with the override TTL.

Error responses (since v0.5.29)#

The override applies to success and redirect responses only (status < 400). Storable error responses follow the negative-caching TTL ladder — origin explicit freshness > negative_ttl > heuristic > ttl_default — instead of being pinned fresh for the full override duration. Previously an origin that opted a 404 into negative caching (Cache-Control: public, max-age=30) got cached for the full override duration (30 minutes instead of 30 seconds), bypassing negative_ttl policies entirely. Re-check routes that pair ttl_override with negative_ttl: storable errors now expire per the ladder.

Combining with other cache fields#

ttl_override composes cleanly with the rest of the cache policy:

cache:
  ttl_override: 2h                # bouine keeps for 2 h
  stale_while_revalidate: 10m     # serve stale during background refresh
  stale_if_error: 24h             # serve if origin is down for up to 24 h
  jitter_percent: 5               # ±5 % jitter on the 2 h override
  negative_ttl: 10s               # cache 404s for 10 s (applies to storable errors since v0.5.29)

ttl_default is not superseded when ttl_override is set — it remains the fallback for responses the origin sends without any freshness headers. Set both if your origin is inconsistent about emitting Cache-Control.

Stale serving#

cache:
  ttl_default: 60s
  stale_while_revalidate: 10s
  stale_if_error: 300s

• stale_while_revalidate: serve stale immediately and trigger a background revalidation. The next request gets a fresh HIT without any blocking. Concurrency is bounded to 256 simultaneous background revalidations.
• stale_if_error: serve stale when the origin returns 5xx or is unreachable, up to the configured window. Unlike SWR, bouine always attempts the origin first and only falls back to stale on error.

Stayin Alive#

When stale_if_error expires and the upstream is still down, bouine normally starts returning errors to clients. Stayin Alive prevents this — the cached object is served indefinitely until the upstream recovers, regardless of how long ago it expired.

routes:
  - match: { path_prefix: /products/ }
    pool: backend
    cache:
      ttl_default: 60s
      stale_if_error: 5m
      stayin_alive: true   # serve stale forever if upstream is down

When stayin_alive: true:

• If the upstream returns 5xx, bouine serves the last known good response.
• If the upstream is unreachable (connection error, timeout), bouine serves the last known good response.
• If the upstream returns 2xx, the fresh response replaces the stale one as normal.
• If there is no cached entry at all, bouine cannot help — it returns 502.
• Since v0.5.22 the TTL reaper holds expired entries while the route’s origin pool has no healthy target (grace retention): the serve-stale-while-outage promise now survives outages longer than TTL + stale_while_revalidate + stale_if_error. When a healthy target returns, the next reaper pass collects expired entries normally. The hold is visible as bouine_hot_store_reaper_grace_holds_total; full protection requires passive (health.passive.consecutive_5xx) or active health checks on the pool. Related: the cache-path fetch client now records passive health exactly like the proxy path, so pool ejection works on cached routes.

A WARN log is emitted on every stale-served request while the upstream is unhealthy:

{"level":"WARN","msg":"stayin-alive: upstream 5xx, serving stale indefinitely","status":503,"key":12345}

When to use it

Use Stayin Alive for routes where showing slightly stale content is far better than showing an error — product pages, homepages, navigation menus, search results. Do not use it for checkout, cart, account, or any route that must reflect real-time state.

Negative caching#

cache:
  negative_ttl: 5s

Caches 404, 405, 410, and 501 responses briefly. Use this to protect origins from repeated misses.

Per-status TTLs (since v0.5.22)#

negative_ttl also accepts a map mirroring Cloudflare’s “Cache TTL by status code”:

cache:
  negative_ttl:
    404: 1m
    5xx: 10s
    503: 30s    # exact code shadows its class — "blanket + exception"
    410: 0      # zero explicitly disables caching for this status

Keys are a single error status ("404") or a class (4xx, 5xx); exact codes are limited to 400–599 (2xx/3xx entries are rejected as configuration errors). The scalar form (negative_ttl: 30s) is shorthand for the default error set (404/405/410/501) — the same setting written two ways. Since v0.5.22 the negative-caching policy outranks ttl_default and heuristic (Last-Modified) freshness for the statuses it covers, and objects with a covered error status are never proactively refreshed regardless of how they were cached. The policy only applies when the origin sends no explicit freshness; RFC 9111 blocking directives still win.

Set-Cookie caching#

By default, a response carrying a Set-Cookie header is never cached — even if it has explicit freshness (max-age). This matches nginx’s proxy_cache behaviour and prevents one user’s session cookie from being replayed to other users (a session-fixation vector).

cache:
  allow_set_cookie: false   # default — Set-Cookie blocks caching

To cache such responses anyway, opt in explicitly. When enabled, bouine still delivers the cookie to the first client (the MISS), but strips Set-Cookie from the stored copy so subsequent HITs never replay it:

cache:
  allow_set_cookie: true    # cache, but strip Set-Cookie from stored object

Only enable allow_set_cookie on routes where the Set-Cookie is not user-specific (e.g. a non-personalised A/B cookie). Never enable it on authentication or session routes.

Cookie bypass (since v0.5.26)#

Set-Cookie blocking protects against cookies the origin sends. The mirror-image risk is a cookie the client sends: an SSR origin that renders per-user HTML from the request’s session cookie. Such a response must never be stored under a shared key (served to other users) and never shared in-flight (another user’s body handed to a concurrent request). Enable bypass_on_cookie on those routes and any request carrying a non-empty Cookie header never touches the cache — the Varnish return (pass) equivalent for req.http.Cookie:

routes:
  - match: { path_prefix: /account/ }
    pool: ssr
    cache:
      ttl_default: 60s
      bypass_on_cookie: true

With the flag on, a cookied request is never served from cache, never stored, and never shares an in-flight origin fetch — it proxies to origin (X-Cache: BYPASS). Anonymous requests on the same route keep full MISS/HIT semantics, and invalidating methods (POST/PUT/DELETE) keep invalidating the shared GET key regardless of cookies. SSE-intent requests keep live-stream semantics.

The trigger is Cookie-header presence, not a name list (fails closed): an A/B or analytics cookie also bypasses — strip those at the ingress, or accept the origin-render cost. The dashboard insight config-cookie-bypass-missing flags storing routes whose traffic is ≥5% cookied while the flag is off — the personalized-SSR leak shape.

The in-flight half is unconditional (since v0.5.26, ADR-0052/0054): on every route, flag or not, a request carrying Authorization or Cookie never joins a request-collapsed origin fetch — it always performs its own fetch. Cookied requests still use the cache (a stored response is served to them per RFC 9111); they just never share a live fetch. Concurrent cookied misses on one URL now cost one origin fetch per caller, bounded by the fetch semaphore and shed machinery. Anonymous requests keep collapsing bit-for-bit. Use origin Cache-Control: public, s-maxage=... on routes that genuinely share responses — storage converges authorized/cookied bursts to HITs.

Cookie-name bypass (since v0.5.27)#

bypass_on_cookie triggers on Cookie-header presence — an A/B or analytics cookie bypasses as much as a session cookie, which on cookie-personalized SSR routes turns into “cache off”. Scope the same bypass contract to specific cookie names instead:

routes:
  - match: { path_prefix: /account/ }
    pool: ssr
    cache:
      ttl_default: 60s
      bypass_on_cookie_names: [session_id, debug]

A request carrying any listed cookie name bypasses the cache entirely — no lookup, no storage, no in-flight sharing, X-Cache: BYPASS — while requests carrying only unlisted cookies participate in the cache per RFC 9111.

• Matching is on the name token only (case-insensitive, never a value or a substring), after RFC 6265 OWS trimming. A listed cookie matches in every ; -separated position — real browsers put the session cookie last in the joined line — and on every repeated Cookie field line.
• Capped at 16 names; empty entries and case-insensitive duplicates are rejected, as is combining it with bypass_on_cookie (the presence trigger is a strict superset — listing names under it is dead config).
• Mutually exclusive with key.cookie_presence: a bypassed request never reaches the cache, so keying it is dead config.

User-Agent bypass (since v0.5.27)#

bypass_on_user_agent routes requests whose User-Agent matches one of the configured *-glob patterns entirely around the cache — the bypass_on_cookie contract, triggered by the UA instead of a cookie. It exists for layered deployments (client → edge → bouine) where the edge already bypasses its own cache for a verified crawler (e.g. a shopping-feed bot that must see current product data): without mirroring the rule, bouine would serve its own stored copy and silently defeat the edge rule’s freshness intent.

route_defaults:
  cache:
    bypass_on_user_agent: ["*ShoppingFeedBot*"]   # declared once for every route

• Patterns match the full UA string, case-insensitively; * is the only wildcard and matches any run of bytes including /; an exact pattern matches the whole string — *Bot* for substring semantics. Spaces cannot appear in a pattern (real UA strings contain them); use the substring form.
• Validation caps the list at 16 entries / 256 bytes each and rejects lone *, **, ?/[/]/\, bytes outside graphic ASCII, and duplicates.
• A route’s own list replaces an inherited route_defaults list (never a union); an explicit empty list ([]) opts the route out; static routes inherit nothing.
• The UA is spoofable client input: a spoofed UA merely costs an origin fetch (same as a no-cache request) — bypass never invalidates, evicts, or stores anything. Default off; RFC 9111 semantics and the cache-tests score are untouched, and invalidating methods (POST/PUT/DELETE) keep invalidating the shared key.

Cookie presence keying (since v0.5.27)#

For origins that render different content depending on whether a consent/analytics cookie exists (regardless of its value), cache.key.cookie_presence adds one keying bit per listed cookie name — the CDN check_presence equivalent:

cache:
  key:
    cookie_presence: [consent, analytics_opt_out]

Each listed name contributes a present/absent bit to the Vary variant key (never the value). Presence rides a synthetic Vary field unioned into the stored Vary value, so store/lookup pairing, peer-gate assertions, 304 revalidation, and the background-refresh replay hash the same bits everywhere. Every request representation canonicalizes repeated Cookie field lines to the RFC 6265 §4.2 form before the bits are computed, so a presence bit never depends on which line a cookie landed on; the refresh registry saves the Cookie header on presence-keyed routes so the background replay cannot skew the variant pair.

N names multiply the stored variant count by up to 2^N — cap the list (16, same as include_headers) and prefer listing only cookies the origin actually reads; max_variants bounds the total. Mutually exclusive with both bypass_on_cookie and bypass_on_cookie_names: a bypassed request never reaches the cache, so keying it is dead config. Like include_headers, the list must be identical on every cluster node serving the route (peer gates fail safe — miss, never a wrong body).

Object size limit#

Skip caching responses whose body exceeds a size limit. The response is still proxied to the client — only storage is skipped, so large downloads don’t evict useful entries:

cache:
  max_object_size: 1MiB     # don't cache bodies larger than 1 MiB

0 (default) means no limit.

Write-method invalidation (POST/PUT/DELETE)#

Per RFC 9111 section 4.4, bouine invalidates the cache entry for the request URI when a non-safe method (POST, PUT, DELETE, PATCH) receives a 2xx or 3xx response from the origin. The invalidation targets the GET-equivalent key, evicts all Vary variants, and removes the object from the refresh registry. If the response carries a Content-Location or Location header, those URLs are also invalidated (section 4.4).

Additionally, successful POST responses with explicit freshness (Cache-Control: max-age or s-maxage) and a matching Content-Location are stored under the GET key per RFC 9111 section 4.3.1. This is the only case where a non-GET response is cached.

In a cluster, the invalidation fans out to peers (since v0.5.26): the purge for each invalidated key (including Location/Content-Location derived keys) is broadcast through the same batching pipeline as the admin purge API, in every cluster mode — a POST landing on a non-owner node no longer leaves the owner serving stale content until TTL. See Cache invalidation for the delivery mechanisms per cluster mode.

Refresh before expiry#

Refresh-before-expiry fires a background conditional revalidation before an object’s TTL expires, keeping the cache perpetually warm. Clients always see cache hits; origin traffic drops to lightweight 304 responses with no body transfer.

This is distinct from stale_while_revalidate (SWR): SWR fires reactively when a client request arrives after expiry and serves stale while revalidating. Refresh-before-expiry fires proactively before expiry — the object never enters the stale window, and no client request is needed to trigger the refresh.

cache:
  ttl_override: 30s
  refresh_before_expiry: true
  refresh_margin_percent: 20      # fire at 80% of TTL (24s into 30s)
  refresh_timeout: 5s             # max duration for a single refresh fetch
  refresh_concurrency: 16         # max concurrent background refreshes
  refresh_min_hits: 3             # only re-schedule objects hit >= 3 times
  refresh_persist_cycles: 2       # keep refreshing 2 cycles after popularity drops
  refresh_min_score: 1048576      # 1 MiB-hit score gate (staleHits × bodySize)
  refresh_max_rps: 100            # cap at 100 refresh fetches/s per route
  refresh_reactive_first: true    # SWR-first, promote popular objects to proactive

How it works#

1. When a cacheable object is stored, bouine schedules a background refresh at StoredAt + TTL - margin (unless refresh_reactive_first is enabled — see Reactive-first mode below).
2. At the scheduled time, a single drainer goroutine fires a conditional request (If-None-Match / If-Modified-Since) to the origin.
3. On 304 Not Modified, the object’s TTL is refreshed in place — the object never expires.
4. On 200 OK, the object is replaced with the fresh response.
5. On error, the refresh is rescheduled with backoff (the object remains fresh until its original TTL expires, at which point SWR/miss path takes over).

After each refresh completes, bouine evaluates the object’s popularity using the popularity gates below. Objects that fall below the configured thresholds are not re-scheduled and expire naturally, reducing origin traffic for long-tail content.

Configuration fields#

Popularity gates#

When refresh_min_hits or refresh_min_score is set, bouine evaluates popularity after each background refresh completes (not on the initial store). The object’s per-window hit count (staleHits) and body size are checked against the configured thresholds:

• refresh_min_hits: the hit count during the previous TTL window must be >= N. This filters out long-tail objects that were cached once but rarely accessed again.
• refresh_min_score: the score (staleHits × obj.BodySize) must be >= N. This adds a size-weighted dimension — a large object with few hits may be more valuable to keep warm than a small object with many hits.

When both gates are set, both must pass for the object to be re-scheduled. If either fails, the object is not re-scheduled and will expire naturally at the end of its current TTL.

The first TTL window always gets one refresh cycle — the popularity gate only applies on re-scheduling after a refresh completes.

Persist cycles#

When refresh_persist_cycles > 0 and the popularity gate would block re-scheduling, the object gets a grace period: it continues to be refreshed for N additional TTL cycles. Each cycle where hits remain below refresh_min_hits decrements the persist counter. If a popular refresh occurs (hits >= refresh_min_hits), the counter is reset to the configured value.

This prevents objects from falling off the refresh schedule due to a temporary traffic dip. Set refresh_persist_cycles to 2–3 for routes with bursty traffic patterns where popularity fluctuates.

Rate limiting#

refresh_max_rps caps the number of background refresh fetches per second per route. When the cap is reached, the refresh is not dropped — it is re-scheduled with a jittered backoff (100–500 ms). This prevents refresh bursts from overwhelming the origin, which is especially useful when:

• Many objects share the same TTL and would refresh simultaneously
• The origin has rate limits or costs per request
• You want to bound the maximum origin load from refresh traffic

Reactive-first mode#

When refresh_reactive_first: true, new objects are not scheduled for proactive background refresh. Instead, they rely on stale_while_revalidate:

1. The object is cached normally and served fresh until its TTL expires.
2. If a client requests it while stale, SWR serves the stale copy and triggers a background revalidation.
3. After the revalidation completes, the popularity gate evaluates whether to promote the object to proactive refresh for subsequent TTL windows.

This mode is ideal for routes with high key cardinality where most objects are accessed only once or twice — proactive refresh would waste origin requests on objects that will never be accessed again. Only objects that prove their popularity (by being accessed while stale and passing the refresh_min_hits gate) graduate to proactive refresh.

Sizing guidance#

• Memory cost: ~232–482 B per scheduled object (heap entry + Vary-only request header registry). At 1M objects, this is ~465 MB.
• Goroutines: one drainer + up to refresh_concurrency refresh goroutines per route with refresh enabled.
• Origin traffic: refresh fetches are conditional (304-capable), so body transfer is typically zero. The origin only needs to support ETag or Last-Modified for conditional requests.
• Rate-limited traffic: when refresh_max_rps is set, the maximum origin load from refreshes is bounded at N requests/s per route.
• Minimum TTL: objects with TTL < 5s are not scheduled — the refresh window is too tight for a network round-trip.
• Negative-cached objects (404/405/410/501) are never refreshed.

Interaction with other features#

• SWR: refresh-before-expiry and SWR are complementary. If a refresh fails and the object goes stale, SWR serves stale content to clients while a revalidation is attempted. In reactive-first mode, SWR is the primary trigger for the initial refresh cycle.
• Cluster strong mode: only the key owner schedules background refresh. Non-owner nodes that cache a peer-fetched object do not schedule redundant refreshes.
• Invalidation: purge, ban, and invalidating methods (POST/PUT/ DELETE) remove the object from the refresh registry. No stale refreshes fire for invalidated keys.
• Shutdown: refresh-enabled handlers are drained before the store closes during shutdown, preventing use-after-close panics.

When to use it#

Use refresh-before-expiry for high-traffic routes where periodic origin fetches at TTL expiry create noticeable latency spikes. It is most effective for routes with:

• Short to medium TTLs (5s–5m)
• High request rates (so every expiry event affects many clients)
• Origins that support conditional requests (ETag / Last-Modified)
• Large key cardinality (1M+ keys benefit most from zero-miss caching)

Do not use it for routes with very long TTLs (1h+) and low traffic — the background refresh goroutines add overhead with little benefit over letting SWR handle the occasional revalidation.

For routes with high key cardinality and a long tail of rarely-accessed objects, combine refresh_min_hits with refresh_reactive_first to ensure only popular objects consume refresh bandwidth.

Jittered TTLs#

cache:
  jitter_percent: 10

Applies random ±10% TTL jitter to prevent all objects expiring at the same time.

Cache key headers#

cache:
  key:
    include_headers:
      - Accept-Language
      - BM-Market

Use this when the origin varies by request header. Keep the list short — every extra header increases variant cardinality. Since v0.5.21 the list is unioned with the origin’s Vary at object-build time (never a replacement), and validation rejects *, whitespace-only, non-token, case-insensitive duplicate entries, entries also present in exclude_headers, and lists longer than 16 entries. A listed header absent from the request hashes as an empty value — one variant — matching RFC 9111 Vary semantics. The list must be identical on every cluster node serving the route, or ownership of the merged keyspace splits across the ring.

Avoid unbounded variants

Never key on raw User-Agent, unbounded cookies, or high-cardinality request IDs. This creates cache fragmentation and can be a cache-poisoning vector.

Variant caps and content-negotiation bucketing#

Variant cap (max_variants, since v0.5.25)#

The number of distinct Vary variants stored per primary cache key is capped (default 1024), guarding against Vary blow-up per RFC 9110 §12.5.5. The cap is configurable per route; 0 applies the built-in default and negative values are rejected at config validation — the cap itself cannot be disabled. When the cap is hit, further variant storage is skipped and bouine_vary_cap_hits_total increments; requests keep being proxied, only caching is affected.

cache:
  max_variants: 256

Request collapsing and Vary (since v0.5.27)#

Concurrent misses on one key collapse onto a single origin fetch (singleflight). Since v0.5.27 the collapsing flight is keyed on the response’s declared variation dimensions — the Vary surface plus cache.key.include_headers — instead of the primary cache key alone: on a cold miss, two requests differing only in a selector header can no longer collapse onto one leader whose variant body every follower would receive. Warm flights keep the lookup key; cold flights on a declared route extend the key with the declared headers; cold flights on an include-free route are refused (one extra origin fetch per concurrent caller, first fill only).

Vary drift detection (since v0.5.27)#

An origin that changes its Vary header under a live cache previously left variant keys computed under the abandoned surface until TTL — serving wrong-variant HITs. Every revalidation now compares the stored declaration against the fresh response’s as field sets (reordered or re-cased fields are the same surface; only a field appearing or disappearing is a change) and, on a change, purges the primary key — resolver and variants. Only 304 and cacheable 2xx responses are declaration sources, so an origin in duress can never trigger the purge. bouine_vary_drift_total is the operator signal; expect a one-cycle hit-ratio dip per drifted key.

Accept-Encoding bucketing (since v0.5.22)#

When the origin declares Vary: Accept-Encoding, the header value is reduced to the coding bouine actually negotiates (br | zstd | gzip; highest q-value wins with ties preferring br — the sharing-maximizing order — q=0 excludes; absent or no acceptable coding → identity), and origin-bound requests carry the canonical bucket token instead of the client’s raw dialect. A resource’s variant count becomes the number of distinct negotiated codings (at most four) instead of the number of header spellings — every br-capable browser shares one stored variant. Expect a one-TTL miss-rate step on Vary: Accept-Encoding routes after upgrading (old variant keys become unreachable); mixed-version clusters cannot share AE variants until the rollout completes (peer gates fail safe — miss, never a wrong body). Origins that genuinely vary bodies by the full AE string can restore the pre-bucketing behavior with cache.key.verbatim_encoding: true — it re-fragments the variant space.

Accept-Language bucketing (since v0.5.22)#

Vary: Accept-Language variants key by the negotiated language: the highest-weight tag — subtag preserved, ties resolved lexicographically — replaces the raw chain in the variant key, and origin-bound requests carry the winner tag. q-cascade spellings that select the same language share one stored variant instead of fragmenting one per spelling. Subtags (en-US vs en-GB) deliberately do not collapse; unbucketable chains (absent, *, malformed, all q=0) keep the legacy keying. This is the behavior the upstream http-tests/cache-tests suite specifies in vary-normalise-lang-select (kind: optimal).

Dropping the host from the key (include_host: false, since v0.5.22)#

An explicitly-false cache.key.include_host drops the host segment from the primary cache key, so the same URL+query resolves to one entry regardless of the request Host:

cache:
  key:
    include_host: false

Motivated by routes fronted by a router that forwards an internal service host and public site hosts to the same cache (same bytes, two entries, each fed by only part of the URL’s traffic). Absent and true keep today’s scheme|host|path|query|method key byte-for-byte — the default cannot silently re-key existing deployments. Requests are still forwarded with the client’s original Host; only key computation changes. Validation rejects include_host: false on a route that sets match.host. Like include_headers/exclude_headers, the flag must be identical on every cluster node serving the route. The admin URL-key surfaces (/v1/purge, /v1/purge/batch, /v1/refresh, /v1/cachecheck) resolve the matching route’s key policy before rebuilding keys, and stored X-Bouine-Host metadata keeps the filling request’s host — prefer path-regex or surrogate-key bans on such routes.

Stripping query parameters from the key#

Tracking and analytics parameters (utm_source, fbclid, gclid, _ga, …) make otherwise-identical URLs into distinct cache entries, fragmenting the cache. Strip them from the key while still forwarding them to the origin:

cache:
  key:
    strip_query_params: [utm_source, utm_medium, utm_campaign, fbclid, gclid, _ga]

With this config, /page?id=1&utm_source=email and /page?id=1&utm_source=twitter resolve to the same cache entry. The origin still receives the full query string (including the tracking params) on a MISS.

Purge note: POST /v1/purge computes the key from the URL you send, without route context. When using strip_query_params, send purge URLs without the stripped parameters so they match the stored key (same behaviour as Varnish).

Excluding headers from the cache key#

Origins sometimes include per-request headers in Vary that should not fragment the cache — tracing IDs (X-Request-Id, X-Trace-Id), forwarding headers (X-Forwarded-For), or A/B testing cookies. Each unique value creates a separate cache entry, wasting storage and reducing hit rate.

exclude_headers strips the listed request header names from the Vary-based variant key. The origin’s Vary response header is left intact and forwarded to the client — only the key computation skips the excluded headers:

cache:
  key:
    exclude_headers:
      - x-request-id
      - x-trace-id
      - x-forwarded-for

With this config, two requests that differ only in X-Request-Id share the same cache entry and produce a HIT:

Request A  X-Request-Id: abc   →  MISS (stored)
Request B  X-Request-Id: xyz   →  HIT  (same entry)

Collapse to primary key#

When exclusion removes all fields from the Vary list, the variant key collapses to the primary key. This means every request with the same scheme, host, path, query, and method shares a single cache entry — regardless of the excluded header’s value.

For example, if the origin sends Vary: X-Request-Id and x-request-id is in exclude_headers, the variant key equals the primary key. All requests to the same URL get a HIT after the first fetch.

Case insensitivity#

Header names in exclude_headers are matched case-insensitively. Both x-request-id and X-Request-ID in the config will match X-Request-Id in the origin’s Vary header.

When NOT to use exclude_headers#

Do not exclude headers that genuinely affect the response body — such as Accept-Encoding, Accept-Language, or Accept. Excluding a content-negotiation header causes bouine to serve the wrong variant to clients (cache poisoning). Only exclude headers you are certain do not change the response content.

Advanced URL normalization#

Beyond strip_query_params, bouine supports several additional cache key normalisation features to maximise hit ratio when origins or clients produce URL variants that should resolve to the same cached object.

Keep only specific query parameters#

keep_query_params is the inverse of strip_query_params — only the listed parameter names are included in the cache key; all others are excluded. This is useful when the origin has a small set of meaningful parameters and everything else is noise:

cache:
  key:
    keep_query_params: [id, page, sort]

Mutually exclusive with strip_query_params and strip_query_prefix. Equivalent to Varnish qs.keep().

Strip by prefix#

strip_query_prefix removes all query parameters whose names start with any of the listed prefixes. This covers wildcard stripping without enumerating every variant:

cache:
  key:
    strip_query_prefix: [utm_, fb_, _ga]

Capped at 16 entries in validation.

Remove empty-value parameters#

strip_empty_params removes query parameters with empty values (?foo=&bar=1 → ?bar=1). Does not apply to params in keep_query_params — allowlisted params are always kept, even with empty values.

cache:
  key:
    strip_empty_params: true

Deduplicate repeated parameters#

dedup_query_params keeps only the first value for duplicate query parameters (?a=2&a=1 → ?a=2). “First” is first in request order, matching Varnish qs.unique(). Values are not sorted when dedup is enabled.

cache:
  key:
    dedup_query_params: true

Canonicalise path#

Removed in v0.5.19. cache.key.canonicalize_path was parsed, validated, and documented, but its listener-level wiring never landed, so it had no effect on the cache key. Configs setting the knob now fail at load time with the strict loader instead of being silently ignored — remove the key when upgrading to v0.5.19 or later.