Google Cloud PubSub and IoTDB Integration
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Powerful Performance, Limitless Scale
Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.
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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>This plugin saves Telegraf metrics to an Apache IoTDB backend, supporting session connection and data insertion.</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>
IoTDB
<p>Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Its light-weight architecture, high performance, and rich feature set create a perfect fit for massive data storage, high-speed data ingestion, and complex analytics in the IoT industrial fields. IoTDB deeply integrates with Apache Hadoop, Spark, and Flink, which further enhances its capabilities in handling large scale data and sophisticated processing tasks.</p>
Configuration
Google Cloud PubSub
IoTDB
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>
IoTDB
<ol> <li> <p><strong>Real-Time IoT Monitoring</strong>: Utilize the IoTDB plugin to gather sensor data from various IoT devices and save it in an Apache IoTDB backend, facilitating real-time monitoring of environmental conditions such as temperature and humidity. This use case enables organizations to analyze trends over time and make informed decisions based on historical data, while also utilizing IoTDB’s efficient storage and querying capabilities.</p> </li> <li> <p><strong>Smart Agriculture Data Collection</strong>: Use the IoTDB plugin to collect metrics from smart agriculture sensors deployed in fields. By transmitting moisture levels, nutrient content, and atmospheric conditions to IoTDB, farmers can access detailed insights into optimal planting and watering schedules, thus improving crop yields and resource management.</p> </li> <li> <p><strong>Energy Consumption Analytics</strong>: Leverage the IoTDB plugin to track energy consumption metrics from smart meters across a utility network. This integration enables analytics to identify peaks in usage and predict future consumption patterns, ultimately supporting energy conservation initiatives and improved utility management.</p> </li> <li> <p><strong>Automated Industrial Equipment Monitoring</strong>: Use this plugin to gather operational metrics from machinery in a manufacturing plant and store them in IoTDB for analysis. This setup can help identify inefficiencies, predictive maintenance needs, and operational anomalies, ensuring optimal performance and minimizing unexpected downtimes.</p> </li> </ol>
Feedback
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Powerful Performance, Limitless Scale
Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.
See Ways to Get Started
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