This blog post was co-authored by Igor Shvartser, Senior Technical Product Manager at Amazon Timestream, and Michael Mandrus, Senior Software Engineer at Grafana Labs. Grafana Labs Senior Software Engineers Stephanie Hingtgen and Kevin Minehart also helped with the content.
I’ve been working with Grafana Tempo for about half a year now, and one thing I like about it is that Tempo requires only object storage for storing traces, which is easy to set up in both cloud environments and on-premises. Another outstanding feature is TraceQL, which allows searching for relevant traces with a powerful query language.
In addition to the built-in user authentication that utilizes usernames and passwords, Grafana also provides support for various mechanisms to authenticate users, so you can securely integrate your instance with external identity providers. We are excited to announce that with the release of Grafana 10.0, we have introduced a new user interface that simplifies the configuration of SAML authentication for your Grafana instances.
In the observability space, it seems like everyone is talking about how to reduce costs and control the explosion of Prometheus metrics. It’s no wonder — our recent analysis of user environments suggests 20% to 50% of metrics generated are never used, but users are still stuck paying for them.
As businesses embrace more cloud-native technologies and IT infrastructure becomes more dispersed, they must connect their business goals and end-user experience with the availability and performance of their IT infrastructure. This change necessitates infrastructure monitoring to assure compatibility with cloud environments, operating systems, storage, servers, virtualized systems, and other components.
