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Search engine: Meilisearch deployment for k8s

25 Jan 2022 / Mihai Nueleanu

Elastic search, TypeSense, Algolia, Meilisearch - a few search engine technologies which you might have seen out there; ElasticSearch currently being the largest of them.

My favorite of them: Meilisearch. No surprise here, given the title of the article. So here's how I deployed it on Kubernetes.

# Source: meilisearch/templates/serviceaccount.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
namespace: meilisearch
name: meilisearch
labels:
app.kubernetes.io/name: meilisearch
app.kubernetes.io/instance: meilisearch
---
# Source: meilisearch/templates/configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
namespace: meilisearch
name: meilisearch-environment
labels:
app.kubernetes.io/name: meilisearch
app.kubernetes.io/instance: meilisearch
data:
MEILI_ENV: "development"
MEILI_NO_ANALYTICS: "true"
MEILI_HTTP_PAYLOAD_SIZE_LIMIT: "10Gb"
MEILI_DB_PATH: "/data"
---
# Source: meilisearch/templates/service.yaml
apiVersion: v1
kind: Service
metadata:
name: meilisearch
namespace: meilisearch
spec:
selector:
app: meilisearch
ports:
- port: 7700
targetPort: 7700
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
namespace: meilisearch
name: meilisearchdb
spec:
selector:
matchLabels:
app: meilisearch
serviceName: "meilisearch"
replicas: 1
template:
metadata:
labels:
app: meilisearch
spec:
securityContext:
fsGroup: 1000
serviceAccountName: meilisearch
containers:
- name: meilisearch
image: getmeili/meilisearch:v0.24.0
resources:
requests:
memory: 1Gi
cpu: "1"
limits:
memory: 2Gi
cpu: "2"
envFrom:
- configMapRef:
name: meilisearch-environment
ports:
- name: http
containerPort: 7700
protocol: TCP
volumeMounts:
- mountPath: "/data"
name: mpvc
livenessProbe:
httpGet:
path: /health
port: http
initialDelaySeconds: 30
readinessProbe:
httpGet:
path: /health
port: http
initialDelaySeconds: 30
volumeClaimTemplates:
- metadata:
name: mpvc
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 30Gi
storageClassName: do-block-storage



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Hi, I'm Mihai

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