Operations | Monitoring | ITSM | DevOps | Cloud

Imagine this: A customer tries to log in to your app, but the page takes too long to load. Frustrated, they leave. Meanwhile, your IT team has no clue there was an issue—until complaints start pouring in. Sound familiar? Performance lags are the new downtime. Lags are not just an inconvenience—they lead to lost revenue and frustrated users. To prevent this, organizations turn to application performance monitoring (APM) and synthetic monitoring to maintain peak application performance.

In early January, we announced the launch of InfluxDB 3 Core and InfluxDB 3 Enterprise in public alpha. One of the newest included features is the InfluxDB 3 Processing Engine–a Python-based VM built to enable data transformation, enrichment, downsampling, alerting, and more, all from within the database itself. One month later, we’re excited to deliver a big update enabling new ways to interact with and transform your data.

When discussing observability, the “big 3” - logs, metrics, and traces, always get mentioned. But for some, more data doesn’t always mean better. Our lead engineer, JJ, had some advice to share about how logs may not be necessary for everyone. Simplifying your observability stack isn’t difficult - you just need to be intentional with implementation. Check out more MetricFire blog posts below, and our hosted Graphite service! Get a free trial and start using MetricFire now!

Keeping your team informed about service disruptions has never been easier. The StatusGator Integration directory, available in the Menu on our website, allows you to explore all the integrations we support in one place. From collaboration tools to incident management platforms, we help you integrate status updates seamlessly into your workflow.