Search Results for "apache log viewer"

Fluentd is a CNCF‑graduated open-source data collector that unifies log data collection and consumption across diverse systems. It supports robust reliability, buffering, extensible plugin architecture, and real-time log routing. Fluentd serves as a unified logging layer for structured/unstructured data processing.

Logstash is a server-side data processing pipeline that dynamically ingests data from numerous sources, transforms it, and ships it to your favorite “stash” regardless of format or complexity. It supports and ingests data of all shapes, sizes and sources, dynamically transforms and prepares this data, and transports it to the output of your choice. Logstash is extensible, with over 200 plugins available to let you create and configure your pipeline how you choose.

This is a little program i made, to support me searching tuning files out of a large database of files. You can select any original chiptuning file and search for similar ones in your tuning file collection. You have to add your directories with files to the program, so they can be indexed and a fast search can be performed. Currently it's developed under Ubuntu Linux and runs also on Windows. On my old Laptop 1.6ghz dual core laptop, it indexed 30gb of files in 15 minutes. If...

Ready to use log management solution for Kubernetes storing data in ClickHouse and providing web UI. Ready to use log management solution for Kubernetes. Efficiently store big amounts of your logs (in ClickHouse database), process them using a simple query language and monitor them online through web UI. Easy and quick to deploy in an already functioning Kubernetes cluster. The status is alpha. However, we (Flant) use it in our production Kubernetes deployments since September 2017. Data...

This is a collection of REST specifications, and implementations of those specs, for very low-level information sharing and workflow operations using REST actions over HTTP. Implementations are in various languages, mainly Java, Python, and Ruby.