AWS Data Firehose and Dynatrace Integration

Input and output integration overview

<p>This plugin listens for metrics sent via HTTP from AWS Data Firehose in supported data formats, providing real-time data ingestion capabilities.</p>

<p>The Dynatrace plugin allows users to send metrics collected by Telegraf directly to Dynatrace for monitoring and analysis. This integration enhances the observability of systems and applications, providing valuable insights into performance and operational health.</p>

Integration details

AWS Data Firehose

<p>The AWS Data Firehose Telegraf plugin is designed to receive metrics from AWS Data Firehose via HTTP. This plugin listens for incoming data in various formats and processes it according to the request-response schema outlined in the official AWS documentation. Unlike standard input plugins that operate on a fixed interval, this service plugin initializes a listener that remains active, waiting for incoming metrics. This allows for real-time data ingestion from AWS Data Firehose, making it suitable for scenarios where immediate data processing is required. Key features include the ability to specify service addresses, paths, and support for TLS connections for secure data transmission. Additionally, the plugin accommodates optional authentication keys and custom tags, enhancing its flexibility in various use cases involving data streaming and processing.</p>

Dynatrace

<p>The Dynatrace plugin for Telegraf facilitates the transmission of metrics to the Dynatrace platform via the Dynatrace Metrics API V2. This plugin can function in two modes: it can run alongside the Dynatrace OneAgent, which automates authentication, or it can operate in a standalone configuration that requires manual specification of the URL and API token for environments without a OneAgent. The plugin primarily reports metrics as gauges unless explicitly configured to treat certain metrics as delta counters using the available config options. This feature empowers users to customize the behavior of metrics sent to Dynatrace, harnessing the robust capabilities of the platform for comprehensive performance monitoring and observability. It’s crucial for users to ensure compliance with version requirements for both Dynatrace and Telegraf, thereby optimizing compatibility and performance when integrating with the Dynatrace ecosystem.</p>

Configuration

AWS Data Firehose

Dynatrace

Input and output integration examples

AWS Data Firehose

<ol> <li> <p><strong>Real-Time Data Analytics</strong>: Using the AWS Data Firehose plugin, organizations can stream data in real-time from various sources, such as application logs or IoT devices, directly into analytics platforms. This allows data teams to analyze incoming data as it is generated, enabling rapid insights and operational adjustments based on fresh metrics.</p> </li> <li> <p><strong>Profile Access Patterns for Optimization</strong>: By collecting data about how clients interact with applications through AWS Data Firehose, businesses can gain valuable insights into user behavior. This can drive content personalization strategies or optimize server architecture for better performance based on traffic patterns.</p> </li> <li> <p><strong>Automated Alerting Mechanism</strong>: Integrating AWS Data Firehose with alerting systems via this plugin allows teams to set up automated alerts based on specific metrics collected. For example, if a particular threshold is reached in the input data, alerts can trigger operations teams to investigate potential issues before they escalate.</p> </li> </ol>

Dynatrace

<ol> <li> <p><strong>Cloud Infrastructure Monitoring</strong>: Utilize the Dynatrace plugin to monitor a cloud infrastructure setup, feeding real-time metrics from Telegraf into Dynatrace. This integration provides a holistic view of resource utilization, application performance, and system health, enabling proactive responses to performance issues across various cloud environments.</p> </li> <li> <p><strong>Custom Application Performance Metrics</strong>: Implement custom application-specific metrics by configuring the Dynatrace output plugin to send tailored metrics from Telegraf. By leveraging additional counters and dimension options, development teams can gain insights that are precisely aligned with their application’s operational requirements, allowing for targeted optimization efforts.</p> </li> <li> <p><strong>Multi-Environment Metrics Management</strong>: For organizations running multiple Dynatrace environments (e.g., production, staging, and development), use this plugin to manage metrics for all environments from a single Telegraf instance. With proper configuration of endpoints and API tokens, teams can maintain consistent monitoring practices throughout the SDLC, ensuring that performance anomalies are detected early in the development process.</p> </li> <li> <p><strong>Automated Alerting Based on Metrics Changes</strong>: Integrate the Dynatrace output plugin with an alerting mechanism that triggers notifications when specific metrics exceed defined thresholds. This scenario involves configuring additional counters to monitor crucial application performance indicators, enabling swift remediation actions to maintain service availability and user satisfaction.</p> </li> </ol>

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