Operations | Monitoring | ITSM | DevOps | Cloud

We first released the usage insights Enterprise feature in Grafana 7.0 based on feedback from customers that they would like to better understand how their users are interacting with Grafana, including the dashboards they visit, the information they query, and where they run into issues. What we learned was that dashboard sprawl is a real issue: Administrators estimate that almost 60% of dashboards might not be used at all.

Available for Enterprise and Enterprise MSP customers, the new Header Graph (Beta) feature is being rolled out in the v148 release. This time-series graph allows for easy alert grouping to cut down troubleshooting time and quickly identify the resources that are causing an alert storm.

Your wishes are being granted. Search is now available for all AppSignal customers. 🎉 You can now quickly find specific samples inside of AppSignal. This is especially useful when searching for an error/slow request for a particular customer in a specific revision or request ID. You can access the search in AppSignal from any screen in an application. It’s located in the dark top bar. Let’s take a look at the new search in action.

When you log into your account, you'll notice some subtle and not so subtle changes. We slightly updated our theme, you'll see more rounded corners and tweaked colours of various things in our UI.

How do we get started on monitoring AWS Lambda? Let me first introduce you to the term serverless computing. It doesn't matter if you have been in the tech industry only a few months, or you started writing code when Pascal was still considered cutting edge, you probably would have heard the term serverless computing thrown around in recent times. But what exactly is serverless computing?

Let us get an insight on how Grafana and Prometheus work together for monitoring metrics. Application monitoring is a crucial feature for any successful software offering. Application monitoring in its simplest form refers to collecting metrics on an application and using those metrics to gain an insight to improve the performance and efficiency of the application. Think of it as a cycle. Grafana and Prometheus are probably the most prominent tools in the application monitoring and analytics space.

In Part 1 of this series, we looked at the important metrics to monitor when you’re running ECS or EKS on AWS Fargate. In Part 2 we showed you how to use Amazon CloudWatch and other tools to collect those metrics plus logs from your application containers. Fargate’s serverless container platform helps users deploy and manage ECS and EKS applications, but the dynamic nature of containers makes them challenging to monitor.

In Part 1 of this series, we showed you the key metrics you can monitor to understand the health of your Amazon ECS and Amazon EKS clusters running on AWS Fargate. In this post, we’ll show you how you can: You can use Amazon CloudWatch and related AWS services to gain visibility into your ECS clusters and the Fargate infrastructure that runs them.