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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Fine-Tune Your Charts with Minutely Metrics in AppSignal

We've enhanced our application performance monitoring capabilities to give you a granular view of your application's behavior with minutely metrics. Now, when you select specific time ranges in your charts, you can see short-term trends, spot anomalies faster, and gain deeper insights into your application's performance.

Top 10 performance issues in PostgreSQL and how to fix them

PostgreSQL is a powerful and widely used relational database, but like any system, it can suffer from performance bottlenecks. Without proper management, slow queries, inefficient indexing, and resource contention can lead to sluggish performance. In this blog, we will explore the top 10 PostgreSQL performance issues and how to fix them.

Grafana Drilldown: first-class OpenTelemetry support now available for metrics

When we launched Grafana Drilldown, our queryless experience for quicker, easier insights into your telemetry, we focused first on Prometheus because it was—and is—such a great solution for storing time series data. But as the industry continued to evolve, a different open source project began to emerge as another standard for modern observability: OpenTelemetry.

Generating Calculated Fields From Natural Language

If you’ve been using Honeycomb for a bit, you know that Calculated Fields (otherwise known as derived columns) are a powerful way to transform your events to a format that’s easier to query and understand. However, they use a lisp-esque language that can be difficult to read and a pain to write. If you dislike making Calculated Fields and want something a little easier, here’s a generative AI prompt that can generate them from natural language.

7 Java Exception Monitoring Blind Spots That SREs Must Eliminate

It’s 2 a.m. Alerts flood your dashboard. Transactions are failing, but logs offer no clues. Your SRE team is drowning in noise—while users struggle with outages. As Java workloads shift to microservices, Kubernetes, and the cloud, this problem is compounded. Exceptions cascade across tiers, triggering blame games while the root cause remains buried under fragmented logs and scattered alerts. Legacy monitoring tools overwhelm SREs with raw data but fail to connect the dots.