Centralized logging architectures for debugging microservices in containerized environments.
Understand the different logging architectures and when to use them in Kubernetes environments.
Attach a logging sidecar container to each application container for centralized log collection.
spec:
containers:
- name: app-container
image: my-app
- name: log-sidecar
image: fluentd
volumeMounts:
- name: logs
mountPath: /var/log
Deploy logging agents as DaemonSets to collect logs from all nodes in the cluster.
spec:
replicas: 1
containers:
- name: fluentd
volumeMounts:
- name: varlog
mountPath: /var/log
env:
- name: FLUENTD_ARGS
value: -q
Use Elasticsearch+Fluentd+Kibana stack for centralized log management across clusters.
helm upgrade elasticsearch elastic/elasticsearch \
--set cluster.name=elasticsearch \
--set service.type=ClusterIP \
--set esJavaOpts=-Xms1g -Xmx1g \
--set persistentVolume.size=10Gi
Effective logging helps identify performance bottlenecks and debug issues across microservices.
Aggregate logs from all containers, nodes, and services into a single interface.
Identify performance issues through pattern recognition in container logs.
Step-by-step implementation of a centralized logging solution using EFK stack.
Use Helm charts to deploy Elasticsearch, Fluentd, and Kibana in your cluster.
Deploy a complete monitoring stack with one command using Helm.
helm repo add elastic https://helm.elastic.co
helm repo update
helm install elasticsearch elastic/elasticsearch \
--namespace=logging \
--set cluster.name=quick-start \
--set elasticsearchJavaOptions=-Xms3g -Xmx3g \
--set systemRequirements.memoryLimit=8g
Configure logging forwarder to capture and ship logs to Elasticsearch.
apiVersion: logging.banzaicloud.io/v1beta1
kind: Output
metadata:
name: my-output
spec:
elasticsearch:
hosts:
- "http://elasticsearch.logging.svc.cluster.local:9200"