You can now monitor Jetty for free using top of the line open source monitoring tools in OpenTelemetry. If you are as excited as we are, take a look at the details of this support in OpenTelemetry’s repo. The best part is that this receiver works with any OpenTelemetry collector: including the OpenTelemetry Collector and observIQ’s distribution of the collector. Jetty uses the JMX receiver.

In this part 1 of a blog series on serverless monitoring, we will learn how to run the observIQ Distro For OpenTelemetry Collector, referred to as “oiq-otel-collector”, in Google Cloud Run. There are many reasons that someone may want to run monitoring in a serverless state. In our example, we will be monitoring MongoDB Atlas, a cloud hosted version of MongoDB.

We are back with a simplified configuration for another critical open-source component, Hadoop. Monitoring Hadoop applications helps to ensure that the data sets are distributed as expected across the cluster. Although Hadoop is considered to be very resilient to network mishaps, monitoring Hadoop clusters is inevitable. Hadoop is monitored using the JMX receiver. The configuration detailed in this post uses observIQ’s distribution of the OpenTelemetry collector.

If you use Windows, you want to monitor Windows Events. With our latest contribution to the observIQ OpenTelemetry Collector, you can easily monitor Windows Events with OpenTelemetry. You can utilize this receiver in conjunction with any OTel collector: including the OpenTelemetry Collector and observIQ’s distribution of the collector. Below are steps to get up and running quickly with observIQ’s distribution, and shipping Windows Event logs to a popular backend: Google Cloud Ops.

We are back with a simplified configuration for another critical open-source component, Zookeeper. Monitoring Zookeeper applications helps to ensure that the data sets are distributed as expected across the cluster. Although Zookeeper is considered to be very resilient to network mishaps, monitoring is inevitable. To do so, we’ll set up monitoring using the Zookeeper receiver from OpenTelemetry.

We’re excited to announce that we’ve recently added Varnish monitoring support for Google Cloud Platform. You can check it out here! Below are steps to get up and running quickly with observIQ’s Google Cloud Platform integrations, and monitor metrics and logs from Varnish in your Google Cloud Platform.

We are constantly working on contributing monitoring support for various sources, the latest in that line is support for Cassandra monitoring using the OpenTelemetry collector. If you are as excited as we are, take a look at the details of this support in OpenTelemetry’s repo. The best part is that this receiver works with any OpenTelemetry collector: including the OpenTelemetry Collector and observIQ’s distribution of the collector.

We are constantly working on contributing monitoring support for various sources, the latest in that line is support for Tomcat monitoring using the JMX Receiver in the OpenTelemetry collector. If you are as excited as we are, take a look at the details of this support in OpenTelemetry’s repo. You can utilize this receiver in conjunction with any OTel collector: including the OpenTelemetry Collector and observIQ’s distribution of the collector.

In this post, we will address the common monitoring use case of filtering metrics within the observIQ OpenTelemetry (OTEL) collector. Whether the metrics are deemed unnecessary, or they are filtered for security concerns, the process is fairly straightforward. For our sample environment, we will use MySQL on Red Hat Enterprise Linux 8. The destination exporter will be to Google Cloud Operations, but the process is exporter agnostic.

Some popular monitoring tools in the market can complicate and create blind spots in your Elasticsearch monitoring. That’s why we made monitoring Elasticsearch simple, straightforward and actionable. Read along as we dive into the steps to monitor Elasticsearch using observIQ’s distribution of the OpenTelemetry collector. To monitor Elasticsearch we will configure two OpenTelemetry receivers, the elasticsearch receiver and the JVM receiver.