Monitor your log data in real-time for unmatched visibility into application health with Atatus's log analyzer tool. Quickly resolve issues and tackle security threats effectively to ensure a secure and stable operational environment.
Sign Up for Free
Monitor these key metrics to ensure your log data is analyzed effectively, allowing you to identify potential issues before they impact application performance and security.
Tracks the frequency of errors within logs, helping identify recurring issues or potential system failures.
Measures the total number of log entries generated over a specified time period, providing insights into system activity and potential bottlenecks.
Identifies irregular patterns or behaviors in log data that may indicate security incidents or performance issues.
Analyzes user behavior by tracking login attempts, page views, and interactions to identify suspicious or unusual activities.
Measures the number of failed authentication attempts, which are useful for detecting security threats like brute-force attacks.
Tracks CPU, memory, and disk usage logs to monitor system health and identify resource-related performance issues.
Atatus Log Analysis enables real-time aggregation and correlation of log data, offering deep visibility into system performance, error detection, and security anomalies.
Atatus log analysis consolidates logs, metrics, and traces into a unified view, giving you rich context for understanding application performance. This holistic approach allows you to identify and address issues promptly, enhancing your system's overall health.
With Atatus log analysis, continuously monitor your logs to detect suspicious activities and potential security breaches. By analyzing access logs and failed login attempts, you can proactively mitigate risks and maintain compliance with industry standards, safeguarding your data.
Automate log analysis to streamline troubleshooting processes. Atatus empowers your team to swiftly identify root causes and track resource usage, resulting in improved productivity and reduced downtime across your infrastructure.
Utilize Atatus log analysis to extract key metrics and trends from your systems. This enables your organization to make data-driven decisions, optimize application performance, and address operational challenges effectively.
Atatus Log Analysis helps you automatically collect, index, and analyze logs from various sources in real-time. It provides a centralized dashboard where you can monitor system events, detect errors, and gain insights into application performance all in one place.
With Atatus Log Analysis, you can quickly identify the root cause of issues by filtering logs based on time, severity, or custom attributes. The powerful search functionality allows you to trace errors, performance bottlenecks, or suspicious activities with ease, speeding up the troubleshooting process.
Yes, Atatus Log Analysis seamlessly integrates with other Atatus monitoring solutions, such as Application Performance Monitoring (APM) and Real User Monitoring (RUM). This unified view enables you to correlate log data with application performance metrics for a holistic monitoring experience.
Atatus Log Analysis helps detect security vulnerabilities by monitoring failed login attempts, suspicious user activities, and unauthorized access patterns. With real-time alerts and customizable rules, you can proactively address potential security breaches before they cause harm.
Yes, Atatus supports a variety of log formats, including custom logs. You can easily configure log sources, specify the log format, and tag logs with relevant attributes to tailor the analysis to your specific needs.
By analyzing logs related to system errors, response times, and resource usage, Atatus Log Analysis helps optimize your system's performance. It identifies performance bottlenecks, tracks throughput, and provides insights that allow you to make informed decisions to improve system efficiency.
Avail Atatus features for 14 days free-trial. No credit card required. Instant set-up.
+1-415-800-4104
