Real-Time Log Search and Analysis with Structured

Efficient log search and analysis are crucial for maintaining system performance and resolving issues quickly.

10
 min. read
June 6, 2024
Real-Time Log Search and Analysis with Structured

Structured offers a powerful platform that simplifies log management, allowing tech teams to dive into extensive log data with ease. Let’s explore how a SaaS company can utilize Structured for real-time log search and analysis to improve troubleshooting and system monitoring.

Use Case:

A SaaS company aims to enhance their log search and analysis capabilities to quickly identify and resolve system issues. They leverage Structured to centralize their log data, perform real-time searches, and gain actionable insights.

Step-by-Step Process:

Data Integration

The first step is to integrate various log sources into Structured, creating a centralized repository for all log data.

Application Logs
Structured connects to the company’s application logs, which include detailed records of application events, user actions, and error messages.

Server Logs
The company integrates server logs, capturing data from web servers, application servers, and database servers. This data provides insights into server performance, request handling, and system errors.

Third-Party Services Logs
Structured also integrates logs from third-party services such as cloud providers, API services, and external databases. This ensures a comprehensive view of the system's interactions and dependencies.

Log Centralization

With data integrated, the next step is to centralize the logs within Structured, providing a single source of truth for all log data.

Unified Log Repository
Structured aggregates logs from various sources into a unified repository. This centralized approach simplifies access and analysis.

Real-Time Ingestion
L
ogs are ingested in real-time, ensuring that the latest data is always available for analysis. Structured supports high-throughput log ingestion, accommodating the company’s extensive log data.

Real-Time Search

Using Structured’s intuitive search functionality, the tech team can perform real-time searches to quickly locate relevant log entries.

Simple Query Interface
Structured offers a user-friendly query interface, allowing the team to perform searches without the need for complex query languages. Natural language queries can be used to find specific log entries.

Log Analysis

Structured’s analysis tools enable the team to gain deeper insights from the log data, identifying patterns and anomalies.

1. Pattern Recognition:Structured automatically recognizes patterns in log data, helping the team identify recurring issues or unusual activity.

Example:

  • Pattern Detection: Structured detects a pattern of failed login attempts from a specific IP address, indicating a potential security threat.

2. Anomaly Detection:Structured uses machine learning to detect anomalies in the log data, alerting the team to potential issues before they escalate.

Example:

  • Anomaly Alert: The system alerts the team to a sudden spike in error rates, prompting an immediate investigation.

3. Correlation Analysis:Structured correlates log entries across different sources, helping the team understand the relationships between events and identify root causes.

Example:

  • Correlation: An application error is correlated with a database timeout, highlighting a dependency issue that needs to be addressed.

Visualization and Reporting

Structured provides powerful visualization and reporting tools to present log data in an easily digestible format.

1. Dashboards:The team can create custom dashboards that display key metrics and trends from the log data. These dashboards provide at-a-glance insights into system performance and health.

Example:

  • Dashboard Widgets: Error rates, response times, and server load metrics are visualized in real-time, allowing the team to monitor system health.

2. Alerts and Notifications:Structured allows the team to set up alerts and notifications based on specific log conditions. These alerts can be configured to trigger emails, SMS, or integrations with monitoring tools.

Example:

  • Alert Configuration: An alert is set up to notify the team if error rates exceed a certain threshold, ensuring prompt response to critical issues.

3. Automated Reports:Structured can generate automated reports that summarize log analysis findings. These reports can be scheduled and sent to stakeholders, keeping them informed about system performance and issues.

Example:

  • Weekly Report: A weekly report is generated, summarizing key metrics, identified issues, and resolved incidents, providing a comprehensive overview of system health.

Outcome

By leveraging Structured for real-time log search and analysis, the SaaS company significantly improves their ability to troubleshoot issues and maintain system performance.

Faster Issue Resolution
The ability to quickly search and analyze logs enables the team to identify and resolve issues faster, reducing downtime and improving service reliability.

Proactive Monitoring
Real-time alerts and anomaly detection allow the team to proactively address potential issues before they impact customers.

Enhanced Insights
Centralized log data and advanced analysis tools provide deeper insights into system behavior, helping the team make informed decisions and optimize performance.

Improved Collaboration
Custom dashboards and automated reports facilitate better communication and collaboration among team members and stakeholders.