Niffler 2 installation
Overview
The Niffler2 App Template provides a monitoring system for VMs, containers and Kubernetes clusters. Kosmos users can install this template to monitor their clusters. The authentication use browser session since Kosmos and Niffler2 use CorpAd for authentication.
Prerequisites
Before beginning the installation process, ensure the following requirements are met:
Kosmos CLI
- Version
v4.3.15or later, Refer for latest available Kosmos CLI
- Version
Cluster Access
- Fleet Cluster or
- DevSpace vCluster access
Namespace
- A pre-existing namespace in the target cluster where the application will be deployed
Installation process using CLI
Step 1: Login to Kosmos
Login to the Kosmos console using the CLI:
kosmos login console.kosmos.spcplatform.com --access-key <YOUR_ACCESS_KEY>
Example output:
Successfully logged into Kosmos instance https://console.kosmos.spcplatform.com
Verify the logged-in user:
kosmos get currentuser
Step 2: Verify existing Kosmos app
List available application templates:
kosmos list apps
Ensure the niffler2-agent app template exists.
Verify using:
kosmos get app --name niffler2-agent
Example output:
NAME DISPLAY NAME DESCRIPTION
niffler2-agent Niffler 2.0 Agent Nifflerv2 agent otel collector
Step 3: Check customizable parameters
Retrieve configurable parameters for the application:
kosmos get app --name niffler2-agent -o json | jq '[.spec.parameters[] | {variable: .variable, type: .type, description: .description}]'
Example parameters include:
| Variable | Type | Description |
|---|---|---|
| basic_auth_username | string | Niffler 2.0 authentication username |
| basic_auth_password | password | Niffler 2.0 authentication password |
| project_name | string | Project name |
| region | string | Kubernetes cluster region |
| csp_type | string | Cloud provider type |
| niffler2_pipeline_url | string | Niffler pipeline GRPC endpoint |
| cluster_name | string | Kubernetes cluster name |
| environment | string | Deployment environment |
| helm_values_ds | multiline | DaemonSet Helm overrides |
| helm_values_dp | multiline | Deployment Helm overrides |
Step 4: Configure application parameters
Niffler requires a set of parameters when installing the niffler-agent using a Kosmos App template. An App template is a reusable resource that defines application configuration, container images, and deployment structure, enabling consistent and repeatable installations across clusters.
Parameter reference
| Name | Type | Required | Description | Example |
|---|---|---|---|---|
| project_name | string | ✅ | Project name | kosmos |
| region | string | ✅ | Kubernetes cluster region | ap-southeast-1 |
| csp_type | string | ✅ | Cloud service provider | aws / spc / gcp |
| niffler2_pipeline_url | string | ✅ | Niffler 2.0 pipeline GRPC URL that is issued by Niffler 2.0 team | kosmos-collect-grpc.niffler2s.samsungsre.com |
| cluster_name | string | ✅ | Cluster name | any-cluster-name |
| environment | string | ✅ | Environment | prod |
| basic_auth_username | string | ✅ | Authentication username | niffler2-prod |
| basic_auth_password | string | ✅ | Authentication password | — |
| helm_values_ds | string | ❌ | DaemonSet Helm overrides | Optional |
| helm_values_dp | string | ❌ | Deployment Helm overrides | Optional |
Example helm override — daemonset
resources:
limits:
cpu: 500m
memory: 1Gi
config:
receivers:
hostmetrics:
collection_interval: 60s
kubeletstats:
collection_interval: 60s
Example helm override — deployment
resources:
limits:
cpu: 250m
memory: 512Mi
config:
receivers:
k8s_cluster:
collection_interval: 60s
tcpcheck:
collection_interval: 1m
initial_delay: 1s
processors:
batch:
timeout: 60s
send_batch_max_size: 81920
send_batch_size: 81920
memory_limiter:
check_interval: 5s
limit_percentage: 80
spike_limit_percentage: 25
Note: Niffler2 credentials and pipeline URL are issued by the Niffler team after project registration approval.
Create parameter file
Create a parameter file named:
niffler-app-param.yaml
Example:
basic_auth_username: "niffler2-prod"
basic_auth_password: "xxxxx"
project_name: "kosmos"
region: "ap-southeast-1"
csp_type: "spc"
niffler2_pipeline_url: "kosmos-collect-grpc.niffler2s.samsungsre.com"
cluster_name: "mks-test-niffler"
environment: "prod"
helm_values_ds: |
resources:
limits:
cpu: 300m
memory: 1Gi
config:
receivers:
hostmetrics:
collection_interval: 60s
kubeletstats:
collection_interval: 60s
helm_values_dp: |
resources:
limits:
cpu: 250m
memory: 512Mi
config:
receivers:
k8s_cluster:
collection_interval: 60s
processors:
batch:
timeout: 60s
send_batch_max_size: 81920
send_batch_size: 81920
memory_limiter:
check_interval: 5s
limit_percentage: 80
spike_limit_percentage: 25
Step 5: Install the application
Deploy the application using the Kosmos CLI:
kosmos install app \
--name niffler2-agent \
--parameter-file niffler-app-param.yaml \
--release-name niffler2-agent \
--target-cluster mks-test-niffler \
--fleet srin \
--target-namespace niffler2
Example output:
Successfully installed App 'niffler2-agent'
Installation process using Kosmos Management Console
Step 1: Access the Kosmos console
Navigate to the Kosmos Management Console .
Log in with your credentials.
After successful login, you can access the Kosmos dashboard.
Step 2: Navigate to application
Go to your selected cluster and click the App/Helm tab.
- Click Install App
- Find and select Niffler 2.0 Agent from the template list
Step 3: Configure parameters
Parameter usage and configuration
Niffler consists of parameters required when installing the Niffler 2.0 Agent through the Kosmos application.
A template is a reusable resource that defines:
- Application configurations
- Container images
- Deployment structure
Parameters
| Name | Type | Required | Description | Example / Default Value |
|---|---|---|---|---|
| project_name | string | ✅ | Project name used in Niffler 2.0 | kosmos |
| region | string | ✅ | Region where the Kubernetes cluster is located | ap-southeast-1 |
| csp_type | string | ✅ | Cloud Service Provider type | aws, spc, gcp |
| niffler2_pipeline_url | string | ✅ | Niffler 2.0 pipeline GRPC URL issued by Niffler team | kosmos-collect-grpc.niffler2s.samsungsre.com |
| cluster_name | string | ✅ | Cluster name | any-cluster-name |
| environment | string | ✅ | Application environment (dev, stg, prod, etc.) | prod |
| basic_auth_username | string | ✅ | Niffler 2.0 basic authentication username | niffler2-prod |
| basic_auth_password | string | ✅ | Niffler 2.0 basic authentication password | — |
| helm_values_ds | string | ❌ | Custom Helm values for DaemonSet configuration | See Example: daemonset Helm values |
| helm_values_dp | string | ❌ | Custom Helm values for Deployment configuration | See Example: deployment Helm values |
Example: daemonset Helm values (helm_values_ds)
|-
resources:
limits:
cpu: 500m
memory: 1Gi
config:
receivers:
hostmetrics:
collection_interval: 60s
kubeletstats:
collection_interval: 60s
Example: deployment Helm values (helm_values_dp)
|-
resources:
limits:
cpu: 250m
memory: 512Mi
config:
receivers:
k8s_cluster:
collection_interval: 60s
tcpcheck:
collection_interval: 1m
initial_delay: 1s
processors:
batch:
timeout: 60s
send_batch_max_size: 81920
send_batch_size: 81920
memory_limiter:
check_interval: 5s
limit_percentage: 80
spike_limit_percentage: 25
Note: Niffler2 credentials and the Niffler2 pipeline URL are issued by the Niffler team after project registration approval.
Advanced configuration
Customize the Niffler 2.0 Agent deployment using additional Helm values for DaemonSet and Deployment modes.
For details refer to the original Daemonset and original Deployment mode for advanced configuration.
DaemonSet configuration example
|-
resources:
limits:
cpu: 500m
memory: 1Gi
config:
receivers:
hostmetrics:
collection_interval: 60s
kubeletstats:
collection_interval: 60s
Deployment configuration example
|-
resources:
limits:
cpu: 250m
memory: 512Mi
config:
receivers:
k8s_cluster:
collection_interval: 60s
tcpcheck:
collection_interval: 1m
initial_delay: 1s
Step 4: Install the application
After completing all required parameter configurations:
- Click Install
- A confirmation dialog appears as shown below.
Step 5: Check installation
After a short time, the Niffler 2.0 Agent application should be installed on the target cluster.
To confirm the pod status:
- Open the option menu of the niffler2 pod
- Click Show YAML
Verify that the pod status is Running.
Step 6: Check on Niffler2 portal
Navigate to:
Dashboard → Kubernetes Overview for Kosmos
to verify the Niffler2 installation.
If the dashboard is unavailable, administrators can create it by importing the provided JSON model.
JSON Model for Kubernetes Dashboard overview for Kosmos:
Click to expand
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"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "smooth",
"lineStyle": {
"fill": "solid"
},
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": true,
"stacking": {
"group": "A",
"mode": "normal"
},
"thresholdsStyle": {
"mode": "off"
}
},
"displayName": "cluster:${__field.labels.cluster_name}, namespace:${__field.labels.namespace}, daemonset:${__field.labels.daemonset}",
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 12,
"x": 12,
"y": 105
},
"id": 41,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"disableTextWrap": false,
"editorMode": "code",
"expr": "sum by(daemonset, cluster_name, namespace) (k8s_daemonset_ready_nodes{namespace=~\"$namespace\", k8s_cluster_name=~\"^($cluster)$\"})",
"fullMetaSearch": false,
"includeNullMetadata": true,
"instant": false,
"legendFormat": "__auto",
"range": true,
"refId": "A",
"useBackend": false
}
],
"title": "Replicas ready",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 25,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "smooth",
"lineStyle": {
"fill": "solid"
},
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": true,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"displayName": "cluster:${__field.labels.cluster_name}, namespace:${__field.labels.namespace}, daemonset:${__field.labels.daemonset}",
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 12,
"x": 0,
"y": 112
},
"id": 39,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"disableTextWrap": false,
"editorMode": "code",
"expr": "sum by(cluster_name, namespace, daemonset) (k8s_daemonset_misscheduled_nodes{namespace=~\"$namespace\", k8s_cluster_name=~\"^($cluster)$\"})",
"fullMetaSearch": false,
"includeNullMetadata": true,
"instant": false,
"legendFormat": "__auto",
"range": true,
"refId": "A",
"useBackend": false
}
],
"title": "Replicas misscheduled",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 25,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "smooth",
"lineStyle": {
"fill": "solid"
},
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": true,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"displayName": "cluster:${__field.labels.cluster_name}, namespace:${__field.labels.namespace}, daemonset:${__field.labels.daemonset}",
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 12,
"x": 12,
"y": 112
},
"id": 40,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"disableTextWrap": false,
"editorMode": "code",
"expr": "sum by(cluster_name, namespace, daemonset) (k8s_daemonset_desired_scheduled_nodes{namespace=~\"$namespace\", k8s_cluster_name=~\"^($cluster)$\"})",
"fullMetaSearch": false,
"hide": true,
"includeNullMetadata": true,
"instant": false,
"legendFormat": "__auto",
"range": true,
"refId": "A",
"useBackend": false
},
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"disableTextWrap": false,
"editorMode": "code",
"expr": "sum by(cluster_name, namespace, daemonset) (k8s_daemonset_ready_nodes{namespace=~\"$namespace\", cluster_name=~\"^($cluster)$\"})",
"fullMetaSearch": false,
"hide": true,
"includeNullMetadata": true,
"instant": false,
"legendFormat": "__auto",
"range": true,
"refId": "B",
"useBackend": false
},
{
"datasource": {
"name": "Expression",
"type": "__expr__",
"uid": "__expr__"
},
"expression": "$A - $B",
"hide": false,
"refId": "C",
"type": "math"
}
],
"title": "Replicas desired but not ready",
"type": "timeseries"
}
],
"title": "DaemonSets",
"type": "row"
}
],
"preload": false,
"refresh": "",
"schemaVersion": 41,
"tags": [],
"templating": {
"list": [
{
"current": {
"text": "niffler2-kosmos-query-service",
"value": "cf6qb6vf4luyob"
},
"includeAll": false,
"label": "Datasource",
"name": "datasource",
"options": [],
"query": "prometheus",
"refresh": 1,
"regex": "/.*query-service$/",
"type": "datasource"
},
{
"current": {
"text": "All",
"value": "$__all"
},
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"definition": "query_result(avg by(app) (k8s_pod_cpu_usage{namespace=~\"$namespace\"}))",
"includeAll": true,
"label": "Service",
"multi": true,
"name": "service",
"options": [],
"query": {
"qryType": 3,
"query": "query_result(avg by(app) (k8s_pod_cpu_usage{namespace=~\"$namespace\"}))",
"refId": "PrometheusVariableQueryEditor-VariableQuery"
},
"refresh": 1,
"regex": "/.*app=\"(.*)\".*/",
"sort": 1,
"type": "query"
},
{
"current": {
"text": "All",
"value": [
"$__all"
]
},
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"definition": "query_result(sum(k8s_node_memory_working_set) by (k8s_cluster_name))",
"includeAll": true,
"label": "Cluster",
"multi": true,
"name": "cluster",
"options": [],
"query": {
"qryType": 3,
"query": "query_result(sum(k8s_node_memory_working_set) by (k8s_cluster_name))",
"refId": "PrometheusVariableQueryEditor-VariableQuery"
},
"refresh": 1,
"regex": "/.*k8s_cluster_name=\"(.*)\".*/",
"sort": 1,
"type": "query"
},
{
"current": {
"text": "All",
"value": [
"$__all"
]
},
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"definition": "query_result(sum by(namespace) (k8s_namespace_phase))",
"includeAll": true,
"label": "Namespace",
"multi": true,
"name": "namespace",
"options": [],
"query": {
"qryType": 3,
"query": "query_result(sum by(namespace) (k8s_namespace_phase))",
"refId": "PrometheusVariableQueryEditor-VariableQuery"
},
"refresh": 1,
"regex": "/.*namespace=\"(.*)\".*/",
"sort": 1,
"type": "query"
},
{
"current": {
"text": "All",
"value": [
"$__all"
]
},
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"definition": "query_result(sum(k8s_node_memory_working_set) by (node))",
"includeAll": true,
"label": "Node",
"multi": true,
"name": "node",
"options": [],
"query": {
"qryType": 3,
"query": "query_result(sum(k8s_node_memory_working_set) by (node))",
"refId": "PrometheusVariableQueryEditor-VariableQuery"
},
"refresh": 1,
"regex": "/.*node=\"(.*)\".*/",
"sort": 1,
"type": "query"
},
{
"current": {
"text": "All",
"value": [
"$__all"
]
},
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"definition": "query_result(sum by(pod) (k8s_pod_phase{namespace=~\"$namespace\", pod=~\".*$service.*\", k8s_cluster_name=~\"^($cluster)$\"}))",
"includeAll": true,
"label": "Pod",
"multi": true,
"name": "pod",
"options": [],
"query": {
"qryType": 3,
"query": "query_result(sum by(pod) (k8s_pod_phase{namespace=~\"$namespace\", pod=~\".*$service.*\", k8s_cluster_name=~\"^($cluster)$\"}))",
"refId": "PrometheusVariableQueryEditor-VariableQuery"
},
"refresh": 1,
"regex": "/.*pod=\"(.*)\".*/",
"sort": 1,
"type": "query"
}
]
},
"time": {
"from": "now-1h",
"to": "now"
},
"timepicker": {},
"timezone": "browser",
"title": "Kubernetes Overview for Kosmos",
"uid": "ef9i1wldpw5c0c",
"version": 45
}
Kubernetes dashboard for Kosmos
You can also verify host information from:
Infrastructure → Host
