Best Log Management Software for Linux of 2025 - Page 2

Find and compare the best Log Management software for Linux in 2025

Use the comparison tool below to compare the top Log Management software for Linux on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Gravwell Reviews
    Gravwell is an all you can ingest data fusion platform that allows for complete context and root cause analysis for security and business data. Gravwell was created to provide machine data benefits to all customers, large or small, binary or text, security or operational. An analytics platform that can do things you've never seen before is possible when experienced hackers team up with big data experts. Gravwell provides security analytics that go beyond log data to industrial processes, vehicle fleets, IT infrastructure or all of it. Do you need to track down an access breach? Gravwell can run facial recognition machine-learning against camera data to identify multiple subjects who enter a facility with one badge-in. Gravwell can also correlate building access logs. We are here to help people who require more than text log searching and want it sooner than they can afford.
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    Centreon Reviews
    Centreon is a global provider for business-aware IT monitoring to ensure high performance and continuous operations. The company's AIOps-ready platform, which is holistic and ready for use in today's complex hybrid cloud infrastructures, is designed to meet the needs of these distributed clouds. Centreon monitors all aspects of the IT Infrastructure, from Cloud-to Edge for a clear and comprehensive view. Centreon eliminates blind spots by monitoring all equipment, middleware, and applications that are part modern IT workflows. This includes legacy assets on-premise, private and public clouds, and all the way to edge of the network where smart devices and customers come together to create business value. Centreon is always up-to-date and can support even the most dynamic environments. It has auto-discovery capabilities that allow it to keep track of Software Defined Network (SDN), AWS or Azure cloud assets and Wi-Fi access points, as well as any other component of today’s agile IT infrastructure.
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    LogMan.io Reviews
    TeskaLabs Logman.io serves as a cutting-edge and efficient solution for managing logs, which includes their collection, archiving, and analysis. This scalable log management system can seamlessly transition to the comprehensive TeskaLabs SIEM (security information and event management) tool. By utilizing this tool, you can maintain an advantage over potential security threats while gaining a complete understanding of your IT infrastructure's safety. The timely and precise detection of threats offered by TeskaLabs Logman.io safeguards critical data and sensitive information effectively. As a company specializing in cybersecurity, TeskaLabs ensures that all its products align with your organization’s security standards. Furthermore, Logman.io facilitates compliance with regulations pertaining to cybersecurity and GDPR, adapting effortlessly to your evolving requirements. This adaptability means that it can be easily upgraded to TeskaLabs SIEM. Ultimately, you will obtain a centralized and essential overview of your entire IT infrastructure, along with a robust toolset for threat modeling, risk management, and vulnerability assessment, enhancing your security posture significantly.
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    LogGRIFFIN Reviews
    LogGRIFFIN offers a robust solution for unified log management, designed to handle extensive data analysis efficiently. This tool ensures immediate collection of logs, safeguarding against any alterations or falsifications from various diverse networks and servers, while also providing analysis of these logs to aid in incident management, audit tracking, and compliance with legal requirements. It allows for the adjustment of log-collecting agents' speed based on the CPU workload of the servers collecting the logs. Additionally, it facilitates secure encrypted communication between the log-collecting agents and servers. The platform is equipped to manage big data processing through a distributed search engine, and it enables the definition of new log format properties along with the capability to analyze them. Users can also perform custom correlation analysis on non-conforming logs utilizing dynamic analytic chains, allowing for real-time detection and evaluation of correlations. Furthermore, the system's adaptability ensures it can evolve with changing requirements, making it a versatile tool for organizations.