You are reading the docs for rws 18.7 The latest release is 18.8. Read this page for the latest release.

Kubernetes

Deploy rust-web-server on Kubernetes with health probes, metrics scraping, graceful shutdown, and autoscaling.

Health endpoints

rust-web-server exposes two dedicated health endpoints that map directly to Kubernetes probe semantics:

Endpoint Purpose Probe type
GET /healthz Always returns 200 OK while the process is running Liveness
GET /readyz Returns 200 OK when ready, 503 during startup and SIGTERM drain Readiness

The SERVER_READY flag is set to true after Server::setup() completes and cleared as soon as a shutdown signal is received, so Kubernetes stops routing traffic before in-flight requests finish draining.

Graceful shutdown

When Kubernetes sends SIGTERM, the server:

  1. Clears SERVER_READY — /readyz begins returning 503, Kubernetes stops sending new traffic.
  2. Stops accepting new TCP connections.
  3. Waits for all in-flight requests to complete (thread-pool drain on http1; tokio task drain on http2/http3).
  4. Exits cleanly.

Set terminationGracePeriodSeconds to at least 30 to give in-flight requests time to complete before Kubernetes sends SIGKILL.

Helm chart

The manifests below are also a Helm chart, published with every release (since 18.2.0):

kubectl create secret tls rws-tls --cert=tls.crt --key=tls.key
helm install my-rws oci://ghcr.io/bohdaq/charts/rws --version 18.2.0

It renders the same Deployment, Service, PodDisruptionBudget and HorizontalPodAutoscaler, plus an optional Ingress and prometheus-operator ServiceMonitor; CI installs it into a kind cluster with TLS on and off. Its values are documented in helm/rws/README.md.

Deployment YAML

apiVersion: apps/v1
kind: Deployment
metadata:
  name: rws
  labels:
    app: rws
spec:
  replicas: 3
  selector:
    matchLabels:
      app: rws
  template:
    metadata:
      labels:
        app: rws
      annotations:
        # Prometheus scrape annotations — tells Prometheus to scrape this pod.
        prometheus.io/scrape: "true"
        prometheus.io/path: "/metrics"
        prometheus.io/port: "7878"
        prometheus.io/scheme: "https"   # the pod serves TLS
    spec:
      terminationGracePeriodSeconds: 30
      containers:
        - name: rws
          image: ghcr.io/bohdaq/rws:18
          ports:
            - name: https
              containerPort: 7878
              protocol: TCP
            - name: quic
              containerPort: 7878
              protocol: UDP
          env:
            - name: RWS_CONFIG_IP
              value: "0.0.0.0"
            - name: RWS_CONFIG_PORT
              value: "7878"
            - name: RWS_CONFIG_THREAD_COUNT
              value: "4"
            - name: RWS_CONFIG_LOG_FORMAT
              value: "json"
            - name: RWS_CONFIG_TLS_CERT_FILE
              value: "/tls/tls.crt"
            - name: RWS_CONFIG_TLS_KEY_FILE
              value: "/tls/tls.key"
          volumeMounts:
            - name: tls
              mountPath: /tls
              readOnly: true
          livenessProbe:
            httpGet:
              path: /healthz
              port: 7878
              scheme: HTTPS   # the port serves TLS; plain-HTTP probes would fail
            initialDelaySeconds: 5
            periodSeconds: 10
            timeoutSeconds: 3
            failureThreshold: 3
          readinessProbe:
            httpGet:
              path: /readyz
              port: 7878
              scheme: HTTPS   # the port serves TLS; plain-HTTP probes would fail
            initialDelaySeconds: 2
            periodSeconds: 5
            timeoutSeconds: 2
            failureThreshold: 2
          resources:
            requests:
              cpu: "100m"
              memory: "64Mi"
            limits:
              cpu: "500m"
              memory: "256Mi"
      volumes:
        - name: tls
          secret:
            secretName: rws-tls

Every RWS_CONFIG_* variable can come from a ConfigMap or Secret. Settings that name a file, such as RWS_CONFIG_TLS_CERT_FILE, take a path, so mount the Secret as a volume (as above) rather than putting its contents in the variable:

envFrom:
  - configMapRef:
      name: rws-config   # e.g. RWS_CONFIG_LOG_FORMAT, RWS_CONFIG_THREAD_COUNT

Service YAML

apiVersion: v1
kind: Service
metadata:
  name: rws
spec:
  selector:
    app: rws
  ports:
    - name: https
      protocol: TCP
      port: 443
      targetPort: 7878
    - name: quic
      protocol: UDP
      port: 443
      targetPort: 7878
  type: ClusterIP

PodDisruptionBudget

Keep at least two pods running during rolling updates or node drains:

apiVersion: policy/v1
kind: PodDisruptionBudget
metadata:
  name: rws-pdb
spec:
  minAvailable: 2
  selector:
    matchLabels:
      app: rws

HorizontalPodAutoscaler

Scale on CPU utilisation, or on requests per second per pod. rws exports the counter rws_requests_total at /metrics; the Prometheus Adapter turns it into the per-pod rate rws_requests_per_second in the custom metrics API. Install it with the rule in helm/prometheus-adapter-values.yaml:

helm install prometheus-adapter prometheus-community/prometheus-adapter \
  -n monitoring -f helm/prometheus-adapter-values.yaml   # set prometheus.url first
kubectl get --raw "/apis/custom.metrics.k8s.io/v1beta1/namespaces/default/pods/*/rws_requests_per_second"

The rule:

rules:
  custom:
    - seriesQuery: 'rws_requests_total{namespace!="",pod!=""}'
      resources:
        overrides:
          namespace: {resource: namespace}
          pod: {resource: pod}
      name:
        matches: "^rws_requests_total$"
        as: "rws_requests_per_second"
      metricsQuery: 'sum(rate(<<.Series>>{<<.LabelMatchers>>}[2m])) by (<<.GroupBy>>)'
 
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: rws-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: rws
  minReplicas: 2
  maxReplicas: 20
  metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 70
    # Requests per second per pod, from the Prometheus Adapter rule above.
    - type: Pods
      pods:
        metric:
          name: rws_requests_per_second
        target:
          type: AverageValue
          averageValue: "500"

With the Helm chart: --set autoscaling.enabled=true --set autoscaling.customMetric.enabled=true. (Until 18.2.0 this page used an External metric named rws_route_requests_total, which nothing served.)

Structured logging for Kubernetes

Access logs are JSON by default (RWS_CONFIG_LOG_FORMAT=json, or log_format = 'json' in rws.config.toml; combined gives Combined Log Format, off/none disables the access log). Kubernetes log aggregators (Fluentd, Fluent Bit, Vector) can then parse and index each field:

{"time":"2026-07-02T12:00:00Z","remote_addr":"10.0.0.1","method":"GET","path":"/api/users","protocol":"HTTP/1.1","status":200,"bytes":1024}
 Log to stdout

rust-web-server writes all access logs to stdout (buffered per thread, written at least every 100 ms). Let the container runtime and your log aggregator handle collection and rotation — this is the Kubernetes-native approach.

Prometheus scraping

With the prometheus.io/* annotations on the pod (prometheus.io/scheme: "https" when the pod serves TLS), a Prometheus using annotation-based discovery scrapes GET /metrics automatically; with the prometheus-operator, enable the chart's metrics.serviceMonitor instead. The endpoint returns server-wide counters and — if MetricsLayer is enabled — per-route histograms in Prometheus text format. Circuit-breaker state (rws_circuit_breaker_state{backend}) is included automatically. The full metric list is on the Metrics page.

See the Observability page for example Grafana queries.

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