Case Study: Prisma speeds up troubleshooting and scales observability with Axiom

Axiom helps Prisma speed up troubleshooting and scale observability

Prisma, a platform that provides developers with tools for building backend applications, faced a challenge in quickly troubleshooting issues for their customers. Their support team needed to rapidly gather information to identify problems but found that tools like Grafana were too slow for creating temporary dashboards and queries, which increased latency and customer frustration.

Axiom solved this challenge by providing a faster platform for creating on-the-fly graphs and dashboards. Using Axiom's regex support and its Axiom Processing Language (APL), Prisma's team could quickly run complex searches on unstructured data. This streamlined the entire troubleshooting process, improved customer support, and saved staff time. Furthermore, Axiom's pricing model based on ingest terabytes allowed the team to use the tool without worrying about surprise costs from the volume of events.

Prisma

Petra Donka

Senior Engineering Manager