LDAP and MariaDB Integration

Input and output integration overview

<p>The LDAP plugin collects monitoring metrics from LDAP servers, including OpenLDAP and 389 Directory Server. This plugin is essential for tracking the performance and health of LDAP services, enabling administrators to gain insights into their directory operations.</p>

<p>This plugin writes metrics from Telegraf directly into MariaDB using parameterized SQL INSERT statements, offering a flexible way to store metrics in structured, relational tables.</p>

Integration details

LDAP

<p>This plugin gathers metrics from LDAP servers’ monitoring backend, specifically from the <code>cn=Monitor</code> entries. It supports two prominent LDAP implementations: OpenLDAP and 389 Directory Server (389ds). With a focus on collecting various operational metrics, the LDAP plugin enables administrators to monitor performance, connection status, and server health in real-time, which is vital for maintaining robust directory services. By allowing customizable connection parameters and security configurations, such as TLS support, the plugin ensures compliance with best practices for security and performance. Metrics gathered can be instrumental in identifying trends, optimizing server configurations, and enforcing service-level agreements with stakeholders.</p>

MariaDB

<p>The SQL output plugin in Telegraf enables direct writing of metrics into SQL-compatible databases like MariaDB by executing parameterized SQL statements. With support for the MySQL driver, the plugin seamlessly integrates with MariaDB for reliable, structured metric storage. This setup is ideal for users who prefer SQL-based analytics or want to store metrics alongside business data for unified querying. MariaDB is a community-developed, enterprise-grade fork of MySQL that emphasizes performance, security, and openness. The plugin supports inserting time series metrics into custom schemas, enabling flexible analytics and integrations with BI tools like Metabase or Grafana using SQL connectors.</p>

Configuration

LDAP

MariaDB

Input and output integration examples

LDAP

<ol> <li> <p><strong>Monitoring Directory Performance</strong>: Use the LDAP Telegraf plugin to continuously track and analyze the number of operations completed, initiated connections, and server response times. By visualizing this data over time, administrators can identify performance bottlenecks in directory services, enabling proactive optimization.</p> </li> <li> <p><strong>Alerting on Security Events</strong>: Integrate the plugin with an alerting system to notify administrators when certain metrics, such as <code>bind_security_errors</code> or <code>unauth_binds</code>, exceed predefined thresholds. This setup can enhance security monitoring by providing real-time insights into potential unauthorized access attempts.</p> </li> <li> <p><strong>Capacity Planning</strong>: Leverage the metrics collected by the LDAP plugin to perform capacity planning. Analyze connection trends, maximum threads in use, and operational statistics to forecast future resource needs, ensuring the LDAP server can handle expected peak loads without degrading performance.</p> </li> <li> <p><strong>Compliance and Auditing</strong>: Use the operational metrics obtained via this plugin to assist in compliance audits. By regularly checking metrics like <code>anonymous_binds</code> and <code>security_errors</code>, organizations can ensure that their directory services adhere to security policies and regulatory requirements.</p> </li> </ol>

MariaDB

<ol> <li> <p><strong>Business Intelligence Integration</strong>: Store application performance metrics directly into MariaDB and connect it to BI tools like Metabase or Apache Superset. This setup allows blending of operational data with business KPIs for unified dashboards, enhancing visibility across departments.</p> </li> <li> <p><strong>Compliance Reporting with Historical Metrics</strong>: Use this plugin to log metrics into MariaDB for audit and compliance use cases. The relational model enables precise querying of past performance indicators with timestamped entries, supporting regulatory documentation.</p> </li> <li> <p><strong>Custom Alerting Based on SQL Logic</strong>: Insert metrics into MariaDB and use custom SQL queries to define alert thresholds or conditions. Combined with cron jobs or scheduled scripts, this enables advanced alerting workflows not possible with traditional metric platforms.</p> </li> <li> <p><strong>IoT Sensor Metrics Storage</strong>: Collect sensor data from IoT devices via Telegraf and store it in MariaDB using a normalized schema. This approach is cost-effective and integrates well with existing SQL-based systems for real-time or historical analysis.</p> </li> </ol>

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