# nginx-logtail User Guide ## Overview nginx-logtail is a four-component system for real-time traffic analysis across a cluster of nginx machines. It answers questions like: - Which client prefix is causing the most HTTP 429s right now? - Which website is getting the most 503s over the last 24 hours? - Which nginx machine is the busiest? - Is there a DDoS in progress, and from where? Components: | Binary | Runs on | Role | |---------------|------------------|----------------------------------------------------| | `collector` | each nginx host | Tails log files, aggregates in memory, serves gRPC | | `aggregator` | central host | Merges all collectors, serves unified gRPC | | `frontend` | central host | HTTP dashboard with drilldown UI | | `cli` | operator laptop | Shell queries against collector or aggregator | --- ## nginx Configuration Add the `logtail` log format to your `nginx.conf` and apply it to each `server` block: ```nginx http { log_format logtail '$host\t$remote_addr\t$msec\t$request_method\t$request_uri\t$status\t$body_bytes_sent\t$request_time'; server { access_log /var/log/nginx/access.log logtail; # or per-vhost: access_log /var/log/nginx/www.example.com.access.log logtail; } } ``` The format is tab-separated with fixed field positions. Query strings are stripped from the URI by the collector at ingest time — only the path is tracked. --- ## Building ```bash git clone https://git.ipng.ch/ipng/nginx-logtail cd nginx-logtail go build ./cmd/collector/ go build ./cmd/aggregator/ go build ./cmd/frontend/ go build ./cmd/cli/ ``` Requires Go 1.21+. No CGO, no external runtime dependencies. --- ## Collector Runs on each nginx machine. Tails log files, maintains in-memory top-K counters across six time windows, and exposes a gRPC interface for the aggregator (and directly for the CLI). ### Flags | Flag | Default | Description | |----------------|--------------|-----------------------------------------------------------| | `--listen` | `:9090` | gRPC listen address | | `--logs` | — | Comma-separated log file paths or glob patterns | | `--logs-file` | — | File containing one log path/glob per line | | `--source` | hostname | Name for this collector in query responses | | `--v4prefix` | `24` | IPv4 prefix length for client bucketing (e.g. /24 → /23) | | `--v6prefix` | `48` | IPv6 prefix length for client bucketing | At least one of `--logs` or `--logs-file` is required. ### Examples ```bash # Single file ./collector --logs /var/log/nginx/access.log # Multiple files via glob (one inotify instance regardless of count) ./collector --logs "/var/log/nginx/*/access.log" # Many files via a config file ./collector --logs-file /etc/nginx-logtail/logs.conf # Custom prefix lengths and listen address ./collector \ --logs "/var/log/nginx/*.log" \ --listen :9091 \ --source nginx3.prod \ --v4prefix 24 \ --v6prefix 48 ``` ### logs-file format One path or glob pattern per line. Lines starting with `#` are ignored. ``` # /etc/nginx-logtail/logs.conf /var/log/nginx/access.log /var/log/nginx/*/access.log /var/log/nginx/api.example.com.access.log ``` ### Log rotation The collector handles logrotate automatically. On `RENAME`/`REMOVE` events it drains the old file descriptor to EOF (so no lines are lost), then retries opening the original path with backoff until the new file appears. No restart or SIGHUP required. ### Memory usage The collector is designed to stay well under 1 GB: | Structure | Max entries | Approx size | |-----------------------------|-------------|-------------| | Live map (current minute) | 100 000 | ~19 MB | | Fine ring (60 × 1-min) | 60 × 50 000 | ~558 MB | | Coarse ring (288 × 5-min) | 288 × 5 000 | ~268 MB | | **Total** | | **~845 MB** | When the live map reaches 100 000 distinct 4-tuples, new keys are dropped for the rest of that minute. Existing keys continue to accumulate counts. The cap resets at each minute rotation. ### Time windows Data is served from two tiered ring buffers: | Window | Source ring | Resolution | |--------|-------------|------------| | 1 min | fine | 1 minute | | 5 min | fine | 1 minute | | 15 min | fine | 1 minute | | 60 min | fine | 1 minute | | 6 h | coarse | 5 minutes | | 24 h | coarse | 5 minutes | History is lost on restart — the collector resumes tailing immediately but all ring buffers start empty. The fine ring fills in 1 hour; the coarse ring fills in 24 hours. ### Systemd unit example ```ini [Unit] Description=nginx-logtail collector After=network.target [Service] ExecStart=/usr/local/bin/collector \ --logs-file /etc/nginx-logtail/logs.conf \ --listen :9090 \ --source %H Restart=on-failure RestartSec=5 [Install] WantedBy=multi-user.target ``` --- ## Aggregator Runs on a central machine. Subscribes to the `StreamSnapshots` push stream from every configured collector, merges their snapshots into a unified in-memory cache, and serves the same gRPC interface as the collector. The frontend and CLI query the aggregator exactly as they would query a single collector. ### Flags | Flag | Default | Description | |----------------|-----------|--------------------------------------------------------| | `--listen` | `:9091` | gRPC listen address | | `--collectors` | — | Comma-separated `host:port` addresses of collectors | | `--source` | hostname | Name for this aggregator in query responses | `--collectors` is required; the aggregator exits immediately if it is not set. ### Example ```bash ./aggregator \ --collectors nginx1:9090,nginx2:9090,nginx3:9090 \ --listen :9091 \ --source agg-prod ``` ### Fault tolerance The aggregator reconnects to each collector independently with exponential backoff (100 ms → doubles → cap 30 s). After 3 consecutive failures to a collector it marks that collector **degraded**: its last-known contribution is subtracted from the merged view so stale counts do not accumulate. When the collector recovers and sends a new snapshot, it is automatically reintegrated. The remaining collectors continue serving queries throughout. ### Memory The aggregator's merged cache uses the same tiered ring-buffer structure as the collector (60 × 1-min fine, 288 × 5-min coarse) but holds at most top-50 000 entries per fine bucket and top-5 000 per coarse bucket across all collectors combined. Memory footprint is roughly the same as one collector (~845 MB worst case). ### Systemd unit example ```ini [Unit] Description=nginx-logtail aggregator After=network.target [Service] ExecStart=/usr/local/bin/aggregator \ --collectors nginx1:9090,nginx2:9090,nginx3:9090 \ --listen :9091 \ --source %H Restart=on-failure RestartSec=5 [Install] WantedBy=multi-user.target ``` --- ## Frontend HTTP dashboard. Connects to the aggregator (or directly to a single collector for debugging). Zero JavaScript — server-rendered HTML with inline SVG sparklines. ### Flags | Flag | Default | Description | |-------------|-------------------|--------------------------------------------------| | `--listen` | `:8080` | HTTP listen address | | `--target` | `localhost:9091` | Default gRPC endpoint (aggregator or collector) | | `--n` | `25` | Default number of table rows | | `--refresh` | `30` | Auto-refresh interval in seconds; `0` to disable | ### Usage Navigate to `http://your-host:8080`. The dashboard shows a ranked table of the top entries for the selected dimension and time window. **Window tabs** — switch between `1m / 5m / 15m / 60m / 6h / 24h`. Only the window changes; all active filters are preserved. **Dimension tabs** — switch between grouping by `website / prefix / uri / status`. **Drilldown** — click any table row to add that value as a filter and advance to the next dimension in the hierarchy: ``` website → client prefix → request URI → HTTP status → website (cycles) ``` Example: click `example.com` in the website view to see which client prefixes are hitting it; click a prefix there to see which URIs it is requesting; and so on. **Breadcrumb strip** — shows all active filters above the table. Click `×` next to any token to remove just that filter, keeping the others. **Sparkline** — inline SVG trend chart showing total request count per time bucket for the current filter state. Useful for spotting sudden spikes or sustained DDoS ramps. **Filter expression box** — a text input above the table accepts a mini filter language that lets you type expressions directly without editing the URL: ``` status>=400 status>=400 AND website~=gouda.* status>=400 AND website~=gouda.* AND uri~="^/api/" website=example.com AND prefix=1.2.3.0/24 ``` Supported fields and operators: | Field | Operators | Example | |-----------|---------------------|----------------------------| | `status` | `=` `!=` `>` `>=` `<` `<=` | `status>=400` | | `website` | `=` `~=` | `website~=gouda.*` | | `uri` | `=` `~=` | `uri~=^/api/` | | `prefix` | `=` | `prefix=1.2.3.0/24` | `~=` means RE2 regex match. Values with spaces or quotes may be wrapped in double or single quotes: `uri~="^/search\?q="`. The box pre-fills with the current active filter (including filters set by drilldown clicks), so you can see and extend what is applied. Submitting redirects to a clean URL with the individual filter params; `× clear` removes all filters at once. On a parse error the page re-renders with the error shown below the input and the current data and filters unchanged. **Status expressions** — the `f_status` URL param (and `status` in the expression box) accepts comparison expressions: `200`, `!=200`, `>=400`, `<500`, etc. **Regex filters** — `f_website_re` and `f_uri_re` URL params (and `~=` in the expression box) accept RE2 regular expressions. The breadcrumb strip shows them as `website~=gouda.*` and `uri~=^/api/` with the usual `×` remove link. **URL sharing** — all filter state is in the URL query string (`w`, `by`, `f_website`, `f_prefix`, `f_uri`, `f_status`, `f_website_re`, `f_uri_re`, `n`). Copy the URL to share an exact view with another operator, or bookmark a recurring query. **JSON output** — append `&raw=1` to any URL to receive the TopN result as JSON instead of HTML. Useful for scripting without the CLI binary: ```bash # All 429s by prefix curl -s 'http://frontend:8080/?f_status=429&by=prefix&w=1m&raw=1' | jq '.entries[0]' # All errors (>=400) on gouda hosts curl -s 'http://frontend:8080/?f_status=%3E%3D400&f_website_re=gouda.*&by=uri&w=5m&raw=1' ``` **Target override** — append `?target=host:port` to point the frontend at a different gRPC endpoint for that request (useful for comparing a single collector against the aggregator): ```bash http://frontend:8080/?target=nginx3:9090&w=5m ``` --- ## CLI A shell companion for one-off queries and debugging. Works with any `LogtailService` endpoint — collector or aggregator. Accepts multiple targets, fans out concurrently, and labels each result. Default output is a human-readable table; add `--json` for machine-readable NDJSON. ### Subcommands ``` logtail-cli topn [flags] ranked label → count table logtail-cli trend [flags] per-bucket time series logtail-cli stream [flags] live snapshot feed (runs until Ctrl-C) ``` ### Shared flags (all subcommands) | Flag | Default | Description | |---------------|------------------|----------------------------------------------------------| | `--target` | `localhost:9090` | Comma-separated `host:port` list; queries fan out to all | | `--json` | false | Emit newline-delimited JSON instead of a table | | `--website` | — | Filter to this website | | `--prefix` | — | Filter to this client prefix | | `--uri` | — | Filter to this request URI | | `--status` | — | Filter: HTTP status expression (`200`, `!=200`, `>=400`, `<500`, …) | | `--website-re`| — | Filter: RE2 regex against website | | `--uri-re` | — | Filter: RE2 regex against request URI | ### `topn` flags | Flag | Default | Description | |---------------|------------|----------------------------------------------------------| | `--n` | `10` | Number of entries | | `--window` | `5m` | `1m` `5m` `15m` `60m` `6h` `24h` | | `--group-by` | `website` | `website` `prefix` `uri` `status` | ### `trend` flags | Flag | Default | Description | |---------------|------------|----------------------------------------------------------| | `--window` | `5m` | `1m` `5m` `15m` `60m` `6h` `24h` | ### Output format **Table** (default — single target, no header): ``` RANK COUNT LABEL 1 18 432 example.com 2 4 211 other.com ``` **Multi-target** — each target gets a labeled section: ``` === col-1 (nginx1:9090) === RANK COUNT LABEL 1 10 000 example.com === agg-prod (agg:9091) === RANK COUNT LABEL 1 18 432 example.com ``` **JSON** (`--json`) — one object per target, suitable for `jq`: ```json {"source":"agg-prod","target":"agg:9091","entries":[{"label":"example.com","count":18432},...]} ``` **`stream` JSON** — one object per snapshot received (NDJSON), runs until interrupted: ```json {"ts":1773516180,"source":"col-1","target":"nginx1:9090","total_entries":823,"top_label":"example.com","top_count":10000} ``` ### Examples ```bash # Top 20 client prefixes sending 429s right now logtail-cli topn --target agg:9091 --window 1m --group-by prefix --status 429 --n 20 # Same query, pipe to jq for scripting logtail-cli topn --target agg:9091 --window 1m --group-by prefix --status 429 --n 20 \ --json | jq '.entries[0]' # Which website has the most errors (4xx or 5xx) over the last 24h? logtail-cli topn --target agg:9091 --window 24h --group-by website --status '>=400' # Which client prefixes are NOT getting 200s? (anything non-success) logtail-cli topn --target agg:9091 --window 5m --group-by prefix --status '!=200' # Drill: top URIs on one website over the last 60 minutes logtail-cli topn --target agg:9091 --window 60m --group-by uri --website api.example.com # Filter by website regex: all gouda hosts logtail-cli topn --target agg:9091 --window 5m --website-re 'gouda.*' # Filter by URI regex: all /api/ paths logtail-cli topn --target agg:9091 --window 5m --group-by uri --uri-re '^/api/' # Compare two collectors side by side in one command logtail-cli topn --target nginx1:9090,nginx2:9090 --window 5m # Query both a collector and the aggregator at once logtail-cli topn --target nginx3:9090,agg:9091 --window 5m --group-by prefix # Trend of total traffic over 6h (for a quick sparkline in the terminal) logtail-cli trend --target agg:9091 --window 6h --json | jq '[.points[] | .count]' # Watch live merged snapshots from the aggregator logtail-cli stream --target agg:9091 # Watch two collectors simultaneously; each snapshot is labeled by source logtail-cli stream --target nginx1:9090,nginx2:9090 ``` The `stream` subcommand reconnects automatically after errors (5 s backoff) and runs until interrupted with Ctrl-C. The `topn` and `trend` subcommands exit immediately after one response. --- ## Operational notes **No persistence.** All data is in-memory. A collector restart loses ring buffer history but resumes tailing the log file from the current position immediately. **No TLS.** Designed for trusted internal networks. If you need encryption in transit, put a TLS-terminating proxy (e.g. stunnel, nginx stream) in front of the gRPC port. **inotify limits.** The collector uses a single inotify instance regardless of how many files it tails. If you tail files across many different directories, check `/proc/sys/fs/inotify/max_user_watches` (default 8192); increase it if needed: ```bash echo 65536 | sudo tee /proc/sys/fs/inotify/max_user_watches ``` **High-cardinality attacks.** If a DDoS sends traffic from thousands of unique /24 prefixes with unique URIs, the live map will hit its 100 000 entry cap and drop new keys for the rest of that minute. The top-K entries already tracked continue accumulating counts. This is by design — the cap prevents memory exhaustion under attack conditions. **Clock skew.** Trend sparklines are based on the collector's local clock. If collectors have significant clock skew, trend buckets from different collectors may not align precisely in the aggregator. NTP sync is recommended.