What is the difference between fluent bit and Fluentd?

Fluentd was designed to handle heavy throughput — aggregating from multiple inputs, processing data and routing to different outputs. Fluent Bit is not as pluggable and flexible as Fluentd, which can be integrated with a much larger amount of input and output sources.

What does TD-agent do?

The event collector daemon, for Treasure Data. This daemon collects various types of logs/events via various way, and transfer them to the cloud. For more about Treasure Data, see the homepage, and the documentation. td-agent is open sourced as fluentd project.

How does Fluentd works in Kubernetes?

Fluentd as Kubernetes Log Aggregator To collect logs from a K8s cluster, fluentd is deployed as privileged daemonset. That way, it can read logs from a location on the Kubernetes node. Kubernetes ensures that exactly one fluentd container is always running on each node in the cluster.

Who created Fluentd?

Sadayuki Furuhashi
Fluentd was created by Sadayuki Furuhashi as a project of the Mountain View-based firm Treasure Data. Written primarily in Ruby, its source code was released as open-source software in October 2011.

Who owns Fluentd?

Treasure Data
It is written primarily in the Ruby programming language….Fluentd.

Developer(s)	Treasure Data
Stable release	1.12.1 / February 18, 2021
Repository	github.com/fluent/fluentd
Written in	C, Ruby

How does Prometheus work in Kubernetes?

Monitoring Kubernetes Cluster with Prometheus. Prometheus is a pull-based system. It sends an HTTP request, a so-called scrape , based on the configuration defined in the deployment file. The response to this scrape request is stored and parsed in storage along with the metrics for the scrape itself.

Is Fluentd a Daemonset?

Fluentd provides “Fluentd DaemonSet“ which enables you to collect log information from containerized applications easily. With DaemonSet, you can ensure that all (or some) nodes run a copy of a pod.

Why do we need Prometheus?

Prometheus can scrape metrics from jobs directly or, for short-lived jobs by using a push gateway when the job exits. The scraped samples are stored locally and rules are applied to the data to aggregate and generate new time series from existing data or generate alerts based on user-defined triggers.

Why does Prometheus use Kubernetes?

Prometheus can access data directly from the app’s client libraries or by using exporters. Prometheus discovers targets to scrape from by using Service Discovery. Your Kubernetes cluster already has labels and annotations and an excellent mechanism for keeping track of changes and the status of its elements.