Your engineers shouldn't
have to dig for answers.

This multi-platform media company relied on a traditional observability tool for both infrastructure and application monitoring. While it gave their ops team visibility into backend health, it left frontend engineers on their own when production issues hit their streaming and on-demand audio services.

When a listener-facing bug surfaced, engineers would spend 2–3 hours bouncing between dashboards, manually correlating metrics to piece together what had broken. Meanwhile, costs had risen more than 30% year-over-year as they added new services, without a corresponding gain in debugging speed.

After switching, their engineers now go from alert to root cause faster, with less manual correlation. Errors, traces, and code context all live in one place.

At the scale of millions of daily orders, monitoring costs compound fast. This platform's engineering team had stitched together several observability tools, creating a fragmented picture of their user journeys across platforms. Observability costs were rising rapidly from production traffic spikes, with little in the way of controls to manage it.

The signal-to-noise ratio was also a problem. High alert volumes with limited context made it hard to prioritize what actually affected users. Engineers were spending more time interpreting data than fixing problems.

The team is running a phased migration, running Sentry alongside their existing tools to ensure zero data loss. They're well on their way to having a unified frontend monitoring solution that gives them more visibility and control, at a much lower cost.

As a digital-first insurance platform, every transaction in their quote and bind flow carries real business weight. A bug in the policy checkout path can directly impact conversion and customer trust.

Their engineering team needed deep application-layer visibility: the ability to trace any error to the exact code change that introduced it, across a distributed backend serving multiple insurance carriers and products. Per-seat pricing in their previous tooling limited which engineers could actually dig into issues, slowing down incident response across teams.

With Sentry, every engineer on their team has full access to errors, traces, and code context. Suspect commits automatically surface the PR most likely to have caused an issue. Linear and GitLab integrations connect every Sentry issue directly to their existing workflows, so nothing falls through the cracks between detection and fix.