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A summary is a metric type in Prometheus that can be used to monitor latencies (or other distributions like request sizes). For example, when you monitor a REST endpoint you can use a summary and configure it to provide the 95th percentile of the latency. If that percentile is 120ms that means that 95% of the calls were faster than 120ms, and 5% were slower. Summary metrics are implemented in the Prometheus client libraries, like client_golang or client_java.

When there’s a cardinality explosion, it can cause problems: It’s a surprise, it’s noise, and it can increase your costs or cause performance degradation of your systems. Over the past year, we’ve improved our time series storage systems so that under normal use, high cardinality is no longer an issue. But as the operator of an observability platform, you should have tools you need to help protect that infrastructure.

Back in November 2021, Grafana Labs released version 2.4 of Grafana Loki. One of the new features it included was a Promtail Kafka Consumer that can easily ingest messages out of Kafka and into Loki for storing, querying, and visualization. Kafka has always been an important technology for distributed streaming data architectures, so I wanted to share a working example of how to use it to help you get started.

We just released the new SquaredUp 5.4 with some brilliant new features. Headlining as the two biggest updates were the new ODBC data source and a new visualization – the Surface image tile. The Surface tile lets you build stunning dashboards with any image.

We're happy to announce that we've added a feature that will enable you to create folders for your custom metric dashboards.

One of Grafana’s most powerful features is the ability to funnel data from hundreds of different data sources (i.e., services or databases) into a single dashboard without migrating the data from where it lives. You can connect and correlate data from Grafana’s curated observability stack for metrics, logs, and traces, or third-party services, such as Splunk, Elasticsearch, Github, Jira, and many more.

We just released the new SquaredUp 5.4 with some brilliant new features. Taking center stage was the new ODBC data source. (If you missed the release announcement you can catch up by reading the quick overview blog post where you can also watch the full release webinar.) With SquaredUp 5.4, you can now instantly visualize any data from almost any database with the addition of ODBC.