Seq is the self-hosted search, analysis, and alerting server built for structured log data.
Datalust is a technology company focused on providing advanced logging and data analysis solutions. It is the creator of Seq, a popular structured log server for .NET applications, designed to make log data more accessible and useful for developers and IT professionals. Datalust emphasizes simplicity, performance, and integration capabilities in its products, catering to the needs of modern software development and operations teams.
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A structured log server with powerful search and analysis capabilities, designed specifically for .NET applications.
Optimized for handling large volumes of log data efficiently, ensuring quick search and retrieval times.
Supports integration with a wide range of programming languages and frameworks, enhancing its versatility.
Offers an intuitive and clean interface that simplifies log data navigation and analysis.
Enables users to apply complex filters to log data, facilitating precise data analysis.
Provides real-time log monitoring capabilities, allowing for immediate issue detection and resolution.
Allows the creation of custom dashboards for monitoring key metrics and log data trends.
Offers comprehensive API access for programmatic interaction with log data and system configuration.
Designed to scale with the needs of growing applications, supporting increased log data volumes.
Includes robust security measures to protect log data, including authentication and encryption options.
Datalust aims to simplify the complexity of log data, making it more accessible and actionable for teams.
Focuses on creating tools that are both powerful and easy to use, bridging the gap between developers and operations.
Actively engages with its user community through forums, documentation, and direct support, fostering a collaborative environment.
Continuously innovates its product offerings to address the evolving needs of software development and data analysis.
Serves customers worldwide, with a focus on providing localized support and documentation.
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