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Note!
You need to have a proper AKS cluster setup in order to proceed with these steps. Refer to Set Up Kubernetes Cluster - Azure (4.3) to create the OKE cluster first.
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By default Usage Engine deployed in Kubernetes outputs logging to disk and console output. If persistent disk storage is enabled, the logs end up on the mounted shared disk. But persistent disk is not always the desired log target, especially in a cloud environment where persistent data is typically accessed through services and APIs rather than as files. The console logs can be accessed through the "kubectl logs" command or from a Kubernetes dashboard. The buffer for storing the Kubernetes console logs is stored in memory only though and thus will be lost when a Pod terminates.
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To get a production ready log configuration you can use tools from the Kubernetes ecosystem and Azure Log Analytics Service. In this guide we show you how to set up:
Fluent-bit for log collection and log forwarding
Elasticsearch for log storage
Kibana for log visualization
Azure Log Analytics for Analyze
Prerequisite
Before setting up log collection, make sure your Usage Engine Private Edition was installed with JSON formatted logging enabled.
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log:
# Format can be "json" or "raw". Default is "raw"
format: json |
AKS Container Insights
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log collection and log forwarding
Elasticsearch for log storage
Kibana for log visualization
Azure Log Analytics for querying monitoring logs
These tools give you powerful and flexible log collection, storage, monitoring and visualization. The Elasticsearch database storage also provides powerful tools to perform analytics on the log data. The Azure Log Analytics is a tool for querying monitoring logs built for DevOps engineers, developers, site reliability engineers (SREs), IT managers, and product owners. See the official user documentation for detailed information about these tools.
Prerequisite
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AKS Container Insights
You can collect, store and analyze logs and event data for container debugging purpose. To enable container insights, go to Home > your-cluster-name | > Monitoring | > Logs. Click Configure monitoring to proceed.
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Azure Log Analytics
User You can log data from Azure Monitor in a Log Analytics workspace. Azure provides an analysis engine and a rich query language. The logs show the context of any problems, and are useful for identifying root causes.
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For more information, please refer to Azure Log Analytics tutorial.
Stream container logs to Elastic Search and visualize with Kibana
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Note that you must install Elastic Search, Fluent-bit and Kibana on the same namespace in order to allow working properly. These are some of the reasons:
Hence, in this guide we are using namespace 'logging' for the installations. |
Install Elastic Search
Elastic Search will be installed to the namespace logging
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Add Elastic Search repository to Helm and update repository to retrieve the latest version with the following commands:
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helm repo add elastic https://helm.elastic.co |
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helm repo update |
Install Elastic Search.
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Info | |||
Example - Installing Elasticsearch without Persistent storage This example installs Elasticsearch without persistent storage. Refer to Elasticsearch Helm chart documentation for help to enable persistent storage: https://github.com/elastic/helm-charts/tree/master/elasticsearch
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Install Fluent-bit
Fluent-bit will be installed to in the same namespace as Elastic Search, i.e., logging, that is logging.
Get the service name of Elastic Search pods . with the following command:
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kubectl get svc -n logging |
This service name is the value set to Host in [OUTPUT] directive.
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kubectl get svc -n logging |
Get username Get the username and password credential for Elastic X-Pack access . The decrypted username and password are the value set to HTTP_User and HTTP_Passwd in [OUTPUT] directive.with the following command:
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kubectl get secrets --namespace=logging elasticsearch-master-credentials -ojsonpath='{.data.username}' | base64 -d |
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The decrypted username and password are the value set to HTTP_User and HTTP_Passwd in the [OUTPUT] directive.
Create a custom values yaml file, for example fluent-bit-values.yaml with the following content:
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config: inputs: | [INPUT] Name tail Tag application.* Exclude_Path /var/log/containers/kube-proxy* Path /var/log/containers/*.log multiline.parser docker, cri Mem_Buf_Limit 50MB Skip_Long_Lines On Refresh_Interval 10 Read_from_Head True filters: | [FILTER] Name kubernetes Match application.* Kube_URL https://kubernetes.default.svc:443 Kube_Tag_Prefix application.var.log.containers. Merge_Log On Merge_Log_Key log_processed K8S-Logging.Parser On K8S-Logging.Exclude Off Labels Off Annotations Off Buffer_Size 0 outputs: | [OUTPUT] Name es Match application.* Host elasticsearch-master tls On tls.verify Off HTTP_User elastic HTTP_Passwd SbeSsXiuWbAnbxUT Suppress_Type_Name On Index fluentbit Trace_Error On |
To add Add the
fluent
helm repo and update repo , runwith the following commands:
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helm repo add fluent https://fluent.github.io/helm-charts |
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Deploy the Fluent Bit DaemonSet to the cluster with the following command:
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helm install fluent-bit fluent/fluent-bit -n logging -f fluent-bit-values.yaml |
Verify every Fluent-bit pod's log. Should not see any error or exception if connection to Elastic Search is established successfully .with the following command:
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kubectl logs <fluent-bit pod name> -n logging |
Install Kibana
Kibana will be installed to the same namespace as Fluent-bit, i.e., logging.
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helm install kibana elastic/kibana -n logging --set=service.type=LoadBalancer --set=service.port=80 |
Configure Kibana
Kibana is a visual interface tool that allows you to explore, visualize, and build a dashboard over the log data massed in Elastic Search cluster.
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Retrieve the public access IP Address of the Kibana dashboard with the following command:
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kubectl get service -n logging kibana-kibana -o jsonpath='{.status.loadBalancer.ingress[0].ip}' |
Login to Kibana dashboard web UI with username password same as HTTPinterface using the HTTP_User and HTTPand HTTP_Passwd configured in the previous section.
Go to Management > Stack Management > Index Management.
If the Fluent-bit connection to Elastic Search established successfully, the Indices is created automatically.
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Go to Management > Stack Management > Kibana. Create and create a Data view matching the index pattern
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Go to Analytics > Discover to search for logs belong to each index pattern respectively.
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User You can filter logs using KQL syntax. For instance, enter "ECDeployment" in the KQL filter input field.
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Log A log record in json format is parsed into fields, as below:
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{ "_p": [ "F" ], "_p.keyword": [ "F" ], "@timestamp": [ "2024-07-24T06:02:44.833Z" ], "kubernetes.container_hash": [ "464113009138.dkr.ecr.eu-west-1.amazonaws.com/mz-ci@sha256:0c76cd048b6540854f0723f3145845511f10ba5bbea8aee198ee21562efb3a8f" ], "kubernetes.container_hash.keyword": [ "464113009138.dkr.ecr.eu-west-1.amazonaws.com/mz-ci@sha256:0c76cd048b6540854f0723f3145845511f10ba5bbea8aee198ee21562efb3a8f" ], "kubernetes.container_image": [ "464113009138.dkr.ecr.eu-west-1.amazonaws.com/mz-ci:4.2.0-feature-t-stratus-XE-13693-azure-helm-chart-20240722085120-71796fea5d7-operator" ], "kubernetes.container_image.keyword": [ "464113009138.dkr.ecr.eu-west-1.amazonaws.com/mz-ci:4.2.0-feature-t-stratus-XE-13693-azure-helm-chart-20240722085120-71796fea5d7-operator" ], "kubernetes.container_name": [ "manager" ], "kubernetes.container_name.keyword": [ "manager" ], "kubernetes.docker_id": [ "83a59c96dfcfa135e728e963b847234f0554859964009b45fe44389fe1e1c0f1" ], "kubernetes.docker_id.keyword": [ "83a59c96dfcfa135e728e963b847234f0554859964009b45fe44389fe1e1c0f1" ], "kubernetes.host": [ "aks-internal-23883603-vmss000000" ], "kubernetes.host.keyword": [ "aks-internal-23883603-vmss000000" ], "kubernetes.namespace_name": [ "uepe" ], "kubernetes.namespace_name.keyword": [ "uepe" ], "kubernetes.pod_id": [ "14492863-e495-4ea2-a1c2-7e937c492bd0" ], "kubernetes.pod_id.keyword": [ "14492863-e495-4ea2-a1c2-7e937c492bd0" ], "kubernetes.pod_name": [ "uepe-operator-controller-manager-795b5d8dd6-kgpqs" ], "kubernetes.pod_name.keyword": [ "uepe-operator-controller-manager-795b5d8dd6-kgpqs" ], "log": [ "{\"level\":\"info\",\"ts\":\"2024-07-24T06:02:44Z\",\"logger\":\"controllers.ECDeployment\",\"msg\":\"Finished reconciling\",\"ECDeployment\":\"uepe/ecd-http2\",\"accumulated duration\":0.202696261}" ], "log_processed.accumulated duration": [ 0.20269626 ], "log_processed.ECDeployment": [ "uepe/ecd-http2" ], "log_processed.ECDeployment.keyword": [ "uepe/ecd-http2" ], "log_processed.level": [ "info" ], "log_processed.level.keyword": [ "info" ], "log_processed.logger": [ "controllers.ECDeployment" ], "log_processed.logger.keyword": [ "controllers.ECDeployment" ], "log_processed.msg": [ "Finished reconciling" ], "log_processed.msg.keyword": [ "Finished reconciling" ], "log_processed.ts": [ "2024-07-24T06:02:44.000Z" ], "log.keyword": [ "{\"level\":\"info\",\"ts\":\"2024-07-24T06:02:44Z\",\"logger\":\"controllers.ECDeployment\",\"msg\":\"Finished reconciling\",\"ECDeployment\":\"uepe/ecd-http2\",\"accumulated duration\":0.202696261}" ], "stream": [ "stderr" ], "stream.keyword": [ "stderr" ], "time": [ "2024-07-24T06:02:44.833Z" ], "_id": "ixdV45AB-BIbU7-jvbNv", "_index": "fluentbit", "_score": null } |