Deploying view app logs

In this lesson, you’ll learn how to deploy a new API application while ensuring its logs are automatically forwarded to Loki. This guide covers configuring log collection with Promtail, deploying the application on Kubernetes, and verifying the logs through Grafana.

Configuring Log Collection

Begin by creating a file named app-deployment.yaml to define both the log collection settings and the deployment configuration for your application. Add the following Promtail snippet to configure how log labels are applied and where Promtail should locate log files from Kubernetes pods:

- action: replace
  source_labels:
    - __meta_kubernetes_pod_node_name
  target_label: node_name
- action: replace
  source_labels:
    - __meta_kubernetes_namespace
  target_label: namespace
- action: replace
  replacement: '$1'
  separator: /
  source_labels:
    - namespace
    - app
  target_label: job
- action: replace
  source_labels:
    - __meta_kubernetes_pod_name
  target_label: pod
- action: replace
  source_labels:
    - __meta_kubernetes_pod_container_name
  target_label: container
- action: replace
  replacement: /var/log/pods/$1/*.log
  separator: /
  source_labels:
    - __meta_kubernetes_pod_uid
    - __meta_kubernetes_pod_container_name

This configuration directs Promtail on how to label and locate Kubernetes pod log files effectively.

Deploying the Application

Next, add the deployment configuration to the same file. The YAML snippet below describes a standard Kubernetes Deployment for an API application. This deployment uses the kodekloud/loki-demo image from Docker Hub—a demo container that generates random logs to help verify log collection via Loki.

kind: Deployment
metadata:
  name: api
spec:
  selector:
    matchLabels:
      app: api
  template:
    metadata:
      labels:
        app: api
    spec:
      containers:
      - name: api
        image: kodekloud/loki-demo
        resources:
          limits:
            memory: "128Mi"
            cpu: "500m"

After adding this configuration, save the app-deployment.yaml file.

Applying the Configuration

Deploy the new application using the following command:

kubectl apply -f app-deployment.yaml

You should see output similar to the following:

deployment.apps/api created

Wait a few seconds, then verify that the pod is running by executing:

kubectl get pods

A successful deployment might produce an output like this:

NAME                                    READY   STATUS    RESTARTS   AGE
api-5bb95b4844-ln5xk                    1/1     Running   0          6s
loki-0                                  1/1     Running   0          14m
loki-grafana-5df4f4d7d99-x4794           2/2     Running   0          14m
loki-promtail-bk9rj                     1/1     Running   0          14m

Ensure that all pods are up and running before proceeding to verify the logs.

Verifying Logs in Grafana

To confirm that your API pod’s logs are being captured, open Grafana and navigate to the query interface. Follow these steps:

Select the pod field from the available options.
Clear any current selections if necessary.
Find and click on your API pod to execute the query.

The logs generated by the application mimic a typical REST API, including details such as HTTP methods, routes, and response codes. For example:

2023-08-06 19:19:33.823 {"log":"{\"level\":40,\"time\":1691369373699,\"pid\":1,\"hostname\":\"api-5bb95b4844-ln5kx\",\"method\":\"POST\",\"route\":\"/users/\",\"code\":\"200\",\"stream\":\"stdout\",\"time\":\"2023-08-06T19:19:33.699944589Z\"}\n"}
2023-08-06 19:19:32.819 {"log":"{\"level\":50,\"time\":1691369272969,\"pid\":1,\"hostname\":\"api-5bb95b4844-ln5kx\",\"method\":\"PATCH\",\"route\":\"/products\",\"code\":\"200\",\"stream\":\"stdout\",\"time\":\"2023-08-06T19:19:32.707664272Z\"}\n"}
2023-08-06 19:19:30.811 {"log":"{\"level\":40,\"time\":1691369259796,\"pid\":1,\"hostname\":\"api-5bb95b4844-ln5kx\",\"method\":\"DELETE\",\"route\":\"/users/\",\"code\":\"404\",\"stream\":\"stdout\",\"time\":\"2023-08-06T19:19:30.697300013Z\"}\n"}

These entries confirm that logs are correctly collected and forwarded to Loki.

The image shows a Grafana dashboard displaying log data with a timeline graph at the top and detailed log entries below, including fields like app, container, and filename.

Promtail automatically collects these logs and sends them to Loki without requiring any additional configuration.

This concludes the lesson on deploying an application and monitoring its logs using Loki and Grafana. By following these steps, you ensure that your Kubernetes-based application logs are efficiently collected and easily viewed in Grafana.

Introduction

Grafana Loki Essentials - Part 1

Grafana Loki Essentials - Part 2

Deploying view app logs

Configuring Log Collection

Deploying the Application

Applying the Configuration

Verifying Logs in Grafana

Watch Video

​Configuring Log Collection

​Deploying the Application

​Applying the Configuration

​Verifying Logs in Grafana

Watch Video

Configuring Log Collection

Deploying the Application

Applying the Configuration

Verifying Logs in Grafana