The OpenTelemetry Collector - an application that allows you to process that telemetry and send it out to various destinations - can be used to collect HiveMQ cluster metrics via the Prometheus or InfluxDB extension. Here’s what a metric might look like in a database: Time Stamp Generally, every metric has a timestamp, a name, and one or more numeric values. Metrics can be extracted simply by querying the databases that store them.įor instance, a metric can be the numeric value of a moment in time (e.g., like CPU % used).
Telemetry data metrics are time-aggregated data points (counts, timestamps, values, or event names). It enables engineers and developers to follow up on any clients communicating with the HiveMQ broker on the terminal. HiveMQ’s message log extension is helpful for application debugging and development. Each type of log serves a specific purpose for it’s users. Logs can be structured, unstructured, or plain text. They provide a continuous, event-based record of these transactions and make it easy to correlate any issues or irregularities.įor instance, a plain text CONNECT log (shown below) can help you identify where an error might have occurred or which part of the process may be causing latency in the transaction. Logs are readable files that show the results of any transaction in your IoT ecosystem. This performance data is gathered and then processed by Application Performance Monitoring (APM) tools, such as Datadog, Honeycomb, etc. Say only 80 of these clusters are involved in processing a request and if there is a sporadic high latency, where should teams start looking for the problem?Ĭapturing telemetry data in IoT environments is critical to understanding how your IoT applications perform. Usually, IoT devices sit in remote, inaccessible areas however, the major challenge is not their remote location, but collecting data from logically complex architectures and deployments.įor instance, many environments have Kubernetes cluster with 5,000 pods. The broad mass of OpenTelemetry data comes from backend applications running in data centers. Telemetry data is a collection of logs, metrics, and traces generated from software or IoT applications. It provides unified sets of libraries and APIs primarily used for data collection and transmission. IoT application) performance and behavior.
OTel is used to instrument, collect, generate, and export telemetry data to help you analyze and understand a software’s (e.g. In simple terms, OpenTelemetry (OTel) is an open-sourced collection of tools, APIs, and SDKs that provide a standard format framework for how observability data is collected and sent.
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