Google Cloud PubSub and AWS Timestream Integration

Input and output integration overview

<p>This plugin ingests metrics from Google Cloud PubSub, allowing for real-time data processing and integration into monitoring setups.</p>

<p>The AWS Timestream Telegraf plugin enables users to send metrics directly to Amazon’s Timestream service, which is designed for time series data management. This plugin offers a variety of configuration options for authentication, data organization, and retention settings.</p> <p>With the coming End of Life of AWS Timestream for LiveAnalytics, you can easily switch to AWS Timestream for InfluxDB or other verions of InfluxDB hosted on AWS by using the <a href="https://www.influxdata.com/integrations/influxdb/">InfluxDB Telegraf plugin</a>. Learn more about <a href="https://www.influxdata.com/influxdb-cloud-on-aws/">AWS and InfluxDB</a></p>

Integration details

Google Cloud PubSub

<p>The Google Cloud PubSub input plugin is designed to ingest metrics from Google Cloud PubSub, a messaging service that facilitates real-time communication between different systems. It allows users to create and process metrics by pulling messages from a specified subscription in a Google Cloud Project. One of the critical features of this plugin is its ability to operate as a service input, actively listening for incoming messages rather than merely polling for metrics at set intervals. Through various configuration options, users can customize the behavior of message ingestion, such as handling credentials, managing message sizes, and tuning the acknowledgment settings to ensure that messages are only acknowledged after successful processing. By leveraging the strengths of Google PubSub, this plugin integrates seamlessly with cloud-native architectures, enabling users to build robust and scalable applications that can react to events in real-time.</p>

AWS Timestream

<p>This plugin is designed to efficiently write metrics to Amazon’s Timestream for LiveAnalytics service. With AWS no longer accepting new users for their LiveAnalytics service, consider using the <a href="https://www.influxdata.com/integrations/influxdb/">InfluxDB plugin</a> with AWS Timestream for InfluxDB or other <a href="https://www.influxdata.com/influxdb-cloud-on-aws/">InfluxDB options available on AWS</a>. This plugin Telegraf can send data collected from various sources and supports a flexible configuration for authentication, data organization, and retention management. It utilizes a credential chain for authentication, allowing various methods such as web identity, assumed roles, and shared profiles. Users can define how metrics are organized in Timestream—whether to use a single table or multiple tables, alongside control over aspect such as retention periods for both magnetic and memory stores. A key feature is its ability to handle multi-measure records, enabling efficient data ingestion and helping to reduce the overhead of multiple writes. In terms of error handling, the plugin includes mechanisms for addressing common issues related to AWS errors during data writes, such as retry logic for throttling and the ability to create tables as needed.</p>

Configuration

Google Cloud PubSub

AWS Timestream

Input and output integration examples

Google Cloud PubSub

<ol> <li> <p><strong>Real-Time Analytics for IoT Devices</strong>: Utilize the Google Cloud PubSub plugin to aggregate metrics from IoT devices scattered across various locations. By streaming data from devices to Google PubSub and using this plugin to ingest metrics, organizations can create a centralized dashboard for real-time monitoring and alerting. This setup allows for immediate insights into device performance, facilitating proactive maintenance and operational efficiency.</p> </li> <li> <p><strong>Dynamic Log Processing and Monitoring</strong>: Ingest logs from numerous sources via Google Cloud PubSub into a Telegraf pipeline, utilizing the plugin to parse and analyze log messages. This can help teams quickly identify anomalies or patterns in logs and streamline the process of troubleshooting issues across distributed systems. By consolidating log data, organizations can enhance their observability and response capabilities.</p> </li> <li> <p><strong>Event-Driven Workflow Integrations</strong>: Use the Google Cloud PubSub plugin to connect various cloud functions or services. Each time a new message is pushed to a subscription, actions can be triggered in other parts of the cloud architecture, such as starting data processing jobs, notifications, or even updates to reports. This event-driven approach allows for a more reactive system architecture that can adapt to changing business needs.</p> </li> </ol>

AWS Timestream

<ol> <li> <p><strong>IoT Data Metrics</strong>: Use the Timestream plugin to send real-time metrics from IoT devices to Timestream, allowing for quick analysis and visualization of sensor data. By organizing device readings into a time series format, users can track trends, identify anomalies, and streamline operational decisions based on device performance.</p> </li> <li> <p><strong>Application Performance Monitoring</strong>: Leverage Timestream alongside application monitoring tools to send metrics about service performance over time. This integration enables engineers to perform historical analysis of application performance, correlate it with business metrics, and optimize resource allocation based on usage patterns viewed over time.</p> </li> <li> <p><strong>Automated Data Archiving</strong>: Configure the Timestream plugin to write data to Timestream while simultaneously managing retention periods. This setup can automate archiving strategies, ensuring that older data is preserved according to predefined criteria. This is especially useful for compliance and historical analysis, allowing businesses to maintain their data lifecycle with minimal manual intervention.</p> </li> <li> <p><strong>Multi-Application Metrics Aggregation</strong>: Utilize the Timestream plugin to aggregate metrics from multiple applications into Timestream. By creating a unified database of performance metrics, organizations can gain holistic insights across various services, improving visibility into system-wide performance and facilitating cross-application troubleshooting.</p> </li> </ol>

Feedback

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