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Monitoring next-generation maritime vessels at Royal IHC with Grafana Cloud

With a storied past in Dutch maritime history, Royal IHC is known for delivering reliable, integrated solutions for their customers. These clients rely on sophisticated vessels to create new ports, maintain navigable waters, clean up pollution, and slow shoreline erosion through the process of dredging, which involves removing sediment and debris from the water.

Introducing the official ClickHouse plugin for Grafana

We are delighted to introduce the new first-party ClickHouse plugin for Grafana, developed by Grafana in collaboration with ClickHouse. Grafana is committed to continuing our partnership and maintaining this plugin, and we’re excited to add more features and to grow with ClickHouse. But why Grafana + ClickHouse?

How to capture Spring Boot metrics with the OpenTelemetry Java Instrumentation Agent

In a previous blog post, Adam Quan presented a great introduction to setting up observability for a Spring Boot application. For metrics, Adam used the Prometheus Java Client library and showed how to link metrics and traces using exemplars. However, the Prometheus Java Client library is not the only way to get metrics out of a Spring Boot app. One alternative is to use the OpenTelemetry Java instrumentation agent for exposing Spring’s metrics directly in OpenTelemetry format.

How to observe your Asterisk instance with Grafana Cloud

Observability and monitoring is a fundamental part of the contact center environment. When there are thousands of live voice and other multi-channel interactions happening, it is crucial to keep a close eye on the system because any issue in service gives an instant blow to the customer experience. Asterisk is a free and open source framework for building communications applications and is sponsored by Sangoma.

New in Grafana Tempo 1.4: Introducing the metrics generator

Grafana Tempo 1.4 has been released and features a new optional component: metrics generator, which automatically generates RED metrics and service graphs from your traces. We’re actively rolling out the metrics-generator service to our own Grafana Cloud offering and are looking for Grafana Cloud Traces customers wanting early access. If interested, you can email our support team for more details.

How Theia Scientific and Volkov Labs use Grafana and AI to analyze scientific images

Dr. Christopher Field is Co-Founder, President, and Principal Investigator at Theia Scientific. With formal education in analytical chemistry and instrumentation, Chris has expertise in scientific hardware and software design, deploying embedded Linux devices for Internet of Things (IoT) and sensor fusion applications, and developing computer vision and image processing pipelines for cell analysis.

Deployment-time testing with Grafana k6 and Flagger

When it comes to building and deploying applications, one increasingly popular approach these days is to use microservices in Kubernetes. It provides an easy way to collaborate across organizational boundaries and is a great way to scale. However, it comes with many operational challenges. One big issue is that it’s difficult to test the microservices in real-life scenarios before letting production traffic reach them. But there are ways to get around it.

Introducing the new Confluent Cloud integration for Grafana Cloud

At Grafana Labs, we’re continuing to expand our platform of Grafana Cloud integrations that make it easier than ever to connect and monitor external systems. These integrations enable you to answer the big picture questions in your organization and tell your observability story.

Set up and observe a Spring Boot application with Grafana Cloud, Prometheus, and OpenTelemetry

Spring Boot is a very popular microservice framework that significantly simplifies web application development by providing Java developers with a platform to get started with an auto-configurable, production-grade Spring application. In this blog, we will walk through detailed steps on how you can observe a Spring Boot application, by instrumenting it with Prometheus and OpenTelementry and by collecting and correlating logs, metrics, and traces from the application in Grafana Cloud.