Search Results for "disk analysis"

Fluent Bit is a super-fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments. A robust, lightweight, and portable architecture for high throughput with low CPU and memory usage from any data source to any destination. Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery. Granular management of data parsing and routing....

Bubbles the simple, easy to use HTTP web server that is browser controlled, and capable of serving static files over the internet, either streamed from disk, or direct from RAM without lag. A GUI administration panel is accessed through your web browser (e.g. "http://localhost:1080/admin/" + default password of "admin"), which controls all her settings and vital functions, all in real time. Apart from serving files, she is capable of tracking site visits (site counters), receiving...

Kafka/distributed commit log service in Go. Protocol compatible with Kafka so Kafka clients and services work with Jocko. Use Serf for discovery, Raft for consensus (and remove the need to run ZooKeeper). Able to use percentages of disk space for retention policies rather than only bytes and time kept. Handling size configs when you change the number of partitions or add topics. API versioning [more API versions to implement]. Replication [first draft done - testing heavily now]. Partition...

Visual Syslog Server for Windows is a free open source program to receive and view syslog messages. Useful when setting up routers and systems based on Unix/Linux. Visual Syslog Server for Windows has a live messages view: switches to a new received message. Helpful color highlighting. Useful message filtering. Customizable notification and actions. Sources hosted on the GitHub: https://github.com/MaxBelkov/visualsyslog

This is a web log file analyzer we are making using python. First the IIS parsing engine wil be built and then Apache and possibly other servers. It is going to support multiple log files from any date and output the statistics in html formatted files, incorporating automatically build charts. It will be a pure python solution which is going to be self contained, ie no installation will be required other from the standard python modules.