LogDog

LogDog: Open-Source Log Management and Analysis Software

LogDog is an open-source log management and analysis software. It allows you to aggregate logs from multiple sources, search and analyze them in real-time, and create custom views and alerts. Key features include log collection, searching and filtering, analytics, and visualization.

What is LogDog?

LogDog is an open-source log aggregation, management, and analysis platform. It is designed to allow IT teams, developers, and engineers to bring together logs and event data from across their infrastructure and applications for improved troubleshooting, security analysis, and operational visibility.

Some key capabilities and benefits of LogDog include:

• Collect logs from virtually any source - LogDog has over 200 built-in integrations for common infrastructure, apps, containers, and cloud services. It can ingest logs over syslog, HTTP, TCP, Kafka, and more. Custom integrations can also be built using the REST API.
• Powerful search and analysis - LogDog allows you to search terabytes of log data in seconds, build custom views and dashboards, analyze trends, set alerts based on log data, and enable collaborative troubleshooting.
• Scalability - LogDog leverages technologies like Kafka, Elasticsearch, and Cassandra to enable collection and analysis of high log volumes in large-scale and distributed environments.
• Cloud-native architecture - LogDog runs equally well on public clouds, private clouds, hybrid infrastructure and can be deployed in containers and orchestrated on Kubernetes.
• Open source software - LogDog is open source, well documented, and has an active community contributing plugins, dashboards, and integrations.

Overall, LogDog provides a unified and scalable log management platform for modern infrastructures. With its powerful analysis capabilities, it enables deeper operational visibility and faster troubleshooting across an organization's systems and applications.

LogDog Features

Official Links