Splunk is a data analysis tool that is used for troubleshooting and monitoring various systems. The Splunk Connect for Kubernetes is the best way to search and import the Kubernetes logging data. In this Splunk Connect for Kubernetes blog, you will learn the topics like Deploying Splunk Connect for Kubernetes through Helm and YAML, Prerequisites for Splunk Connect for Kubernetes, Kubernetes Objects, etc.
Splunk is a software platform used for searching, visualizing, and analyzing the machine-generated data collected from applications, sensors, websites, devices, etc., which constitute your IT infrastructure and business. It mainly works as a web-style interface to search, monitor, and analyze machine-generated big data.
In Splunk, we use different kinds of connectors to get or send the data to/from different platforms. Splunk Connect for Kubernetes is one of those connectors that is used for importing and searching the Kubernetes logging data. This Splunk Connect for Kubernetes blog will help you deploy and work with Splunk Connect for Kubernetes.
Splunk Connect for Kubernetes offers a way to import and search your Kubernetes object, logging, and metrics data in our Splunk platform deployment. Splunk Connect for Kubernetes supports searching and importing our container logs on the below technologies:
Splunk Inc. is the main contributor to the Cloud Native Computing Foundation (CNCF). Splunk Connect for Kubernetes uses and supports more than one CNCF component in the development of these tools for getting the data into Splunk.
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Before we begin our deployment of Splunk Connect for Kubernetes, we must go through the prerequisites, installation, and deployment documentation. We should perform the following steps:
Step 1: Create at least two Splunk platform indexes.
Step 2: One event index will include objects and logs(we may also create two individual indexes for objects and logs).
Step 3: One metrics index. If we do configure the one metrics indexes, Kubernetes Connect for Splunk utilizes the defaults generated in our HEC (HTTP Event Collector) token.
Step 4: Create the HEC token if we do not already have it. If we are installing a connector on Splunk Cloud, file the ticket with Splunk Customer Service, and they will deploy indexes for our environment and create our HEC token.
Helm enables the Kubernetes administrator to install, handle, and upgrade the applications running in the Kubernetes clusters. Access the Helm repository and site for the product and tutorial documentation for more information on utilizing and configuring Helm charts. Helm is the only way to install Splunk Connect for Kubernetes.
For installing and configuring defaults using Helm:
Step 1: Add the Splunk chart repo
helm repo add splunk https://splunk.github.io/splunk-connect-for-kubernetes/
Step 2: Get the values file in our working directory
helm inspect values splunk/splunk-connect-for-kubernetes > values.yaml
helm show values splunk/splunk-connect-for-kubernetes > values.yaml
Step 3: Prepare the values file. After preparing the values file, we can install the chart by running.
helm install --name my-splunk-connect -f values.yaml splunk/splunk-connect-for-kubernetes
helm install my-splunk-connect -f values.yaml splunk/splunk-connect-for-kubernetes
We can grab the manifest YAML files and utilize them for creating the Kubernetes objects required for deploying the Splunk Connect for Kubernetes. When we utilize YAML for deploying the Splunk Connect for Kubernetes, the installation does not produce the default configuration that is created when we install it through Helm.
For deploying the connector through YAML, we should know how to configure our Kubernetes variables to work with the connector. If we are unaware of this process, we suggest utilizing the Helm installation method.
For configuring the Splunk Connector for Kubernetes through YAML files:
Splunk Connect for Kubernetes deploys the DaemonSet on each node. In the DaemonSet, a fluentd container performs and runs the collecting job. Splunk Connector for Kubernetes gathers three kinds of data:
For gathering the data, Splunk uses:
Splunk connects for Kubernetes and gathers Kubernetes objects that enable users to access cluster status. Splunk deploys the code in the Kubernetes cluster that gathers object data. That deployment includes one pod that executes Fluentd, which includes the plugins below for helping push the data to the stack.
Some parameters utilized with the Splunk connect for Kubernetes can have an impact on the overall performance of the log ingestion, objects, or metrics. Generally, the more filters we add to one of the streams, the greater the performance effect.
Splunk Connect for Kubernetes can surpass the default throughput of the HEC. To handle the capacity requirements, Splunk suggests we monitor HEC throughput and back pressure on the Splunk Connect for the Kubernetes deployments and be prepared to add the extra nodes as required.
Handle Splunk Connect for Kubernetes with these supported Annotations:
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Splunk Connect for the Kubernetes sends events to Splunk, which can include meta-data attached to every event. Metadata values like “namespace”, “pod”, “cluster_name”, “container_id”, and “container_name” will show up as the fields while viewing the event data in Splunk. There are two solutions to run the searches in Splunk on the meta-data.
Splunk Connect for Kubernetes can be utilized for sending the events to the Splunk ingest API. In ingest_api section of the yaml file we are utilising to deploy, the below configuration options must be configured.
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Splunk is a Big data analytics tool that is used for analysing and visualising the machine-generated data collected from different data sources. The Splunk connect for Kubernetes enables us to import and search our Kubernetes objects, logging, and metrics data in the Splunk deployment. I hope this Splunk Connect for Kubernetes will give you the sufficient information about Splunk Connect for Kubernetes. If you have any queries, let us know by commenting below.
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