In this blog, we’ll discuss how ArgoCD can help you simplify your Kubernetes deployments. ArgoCD is a Kubernetes tool that allows you to automate your deployment process and manage your applications using GitOps. This means that you can define the desired state of your Kubernetes resources as code, and ArgoCD will ensure that your cluster matches this state.
By the end of this blog, you’ll have a solid understanding of how to use ArgoCD to simplify your Kubernetes deployments and streamline your workflows.
In this blog, we will see how we can deploy the Elasticsearch, Fluent-bit, and Kibana (EFK) stack on Kubernetes. EFK stack’s prime objective is to reliably and securely retrieve data from the K8s cluster in any format, as well as to facilitate anytime searching, analyzing, and visualizing of the data.
What is EFK Stack?
EFK stands for Elasticsearch, Fluent bit, and Kibana.
Elasticsearch is a scalable and distributed search engine that is commonly used to store large amounts of log data. It is a NoSQL database. Its primary function is to store and retrieve logs from fluent bit.
Fluent Bit is a logging and metrics processor and forwarder that is extremely fast, lightweight, and highly scalable. Because of its performance-oriented design, it is simple to collect events from various sources and ship them to various destinations without complexity.