Open Source Go Log Management Tools

l'oGGo or Log & Go is a rich Terminal User Interface app written in Golang that harnesses the power of your terminal to digest log streams based on JSON-based logs. This can be used against applications running locally, on a Kubernetes cluster (see K8S Cheatsheet), GCP Stack Driver (Google Logs, see GCP-Stream Command), and many others.

Welcome to the UTMStack open-source project! UTMStack is a unified threat management platform that merges SIEM (Security Information and Event Management) and XDR (Extended Detection and Response) technologies. Our unique approach allows real-time correlation of log data, threat intelligence, and malware activity patterns from multiple sources, enabling the identification and halting of complex threats that use stealthy techniques. UTMStack stands out in threat prevention by surpassing the boundaries of traditional systems. Our software platform can swiftly analyze log data to identify and halt threats at their source in real-time, even if the threat was not directly detected on the server itself. This seamless integration of SIEM and XDR capabilities sets UTMStack apart from competitors, providing organizations with an effective, holistic cybersecurity suite that enhances threat detection, response, and remediation across clients’ valuable digital infrastructure.

flog is a fake log generator built in Go that produces realistic log entries in several common formats, including Apache common, Apache combined, Apache error, RFC3164, RFC5424, and JSON. It was created to help developers and operators test systems that consume log data, such as log pipelines, SIEMs, or streaming platforms like Amazon Kinesis. Users can control the output by specifying the log format, output file path, log type (stdout, plain log file, or gzip-compressed file), and either the number of lines or the total byte size of logs to generate. Additional options let you simulate timing behavior by configuring creation intervals and generation delays, as well as splitting output into multiple files based on line count or file size. The tool can run in a loop to continuously emit logs until terminated, making it suitable for soak testing or stress testing log ingestion services.

Grafana Mimir is an open-source, horizontally scalable, long-term storage solution for Prometheus metrics. Built by Grafana Labs, Mimir is designed to handle massive volumes of time-series data efficiently while maintaining high availability and reliability. It enables organizations to scale their Prometheus infrastructure without the typical limitations of single-server setups. Mimir is used to power Grafana Cloud Metrics and is built to be fully compatible with Prometheus, allowing easy integration into existing monitoring workflows.

DTail (a distributed tail program) is a DevOps tool for engineers programmed in Google Go for following (tailing), catting and grepping (including gzip and zstd decompression support) log files on many machines concurrently. An advanced feature of DTail is to execute distributed MapReduce aggregations across many devices. For secure authorization and transport encryption, the SSH protocol is used. Furthermore, DTail respects the UNIX file system permission model (traditional on all Linux/UNIX variants and also ACLs on Linux based operating systems). The DTail binary operates in either client or server mode. The DTail server must be installed on all server boxes involved. The DTail client (possibly running on a regular Laptop) is used interactively to connect to the servers concurrently. That currently scales to multiple thousands of servers per client. Furthermore, DTail can be operated in a serverless mode too. Read more about it in the documentation.