Three SLOs every search team needs: monitoring search latency, availability and quality with OpenTelemetry

Here's the thing: monitoring SLOs in search systems is often an afterthought, and it shouldn't be. Many teams dive into building complex search features without establishing clear metrics for latency, availability, and quality. OpenTelemetry provides an opportunity to set these metrics upfront, but integration with Elastic Observability can introduce its own challenges. If your team is already using Elastic, leveraging OpenTelemetry makes sense. But if you’re juggling multiple observability tools, expect some operational overhead. You’ll need to weigh the benefits against the complexity of stitching everything together.

What they're not saying: while the promises of anomaly detection and incident response sound appealing, the reality is that implementing these features requires investment in time and resources. OpenTelemetry's integration is mature, but don't assume seamless operations. It’s more likely you’ll encounter bumps along the way. You should also consider how this stacks up against competitors like Datadog or New Relic, which may offer simpler integrations depending on your existing infrastructure.

The catch: if your data quality isn't up to par, all the SLOs in the world won't help. Focus on fixing your data first before layering on more complexity. Once that's sorted, OpenTelemetry is a powerful tool in your observability toolkit—especially if you're knee-deep in the Elastic ecosystem. But if you're not, you might find yourself better served with other options that offer less friction in implementation.

In the end, if you're in a position to enhance your search monitoring without a significant overhaul of your existing systems, this is worth evaluating now. Otherwise, take a step back and assess whether your current stack meets your needs before diving into OpenTelemetry with Elastic Observability.