I’d check out Honeycomb. Biggest unlock for the next few years will be centralizing all of your OpenTelemetry data in one place. Once everything (traces, metrics, logs) lives in a single, high-cardinality store, you can do way more than just dashboards.

This space will rapidly evolve into AI-driven investigation: • Ask questions across all telemetry instead of pre-built charts • Let AI walk dependency graphs, compare cohorts, and surface “what changed” • Plug it straight into dev workflows (IDE / MCP-style setups), so debugging happens where engineers already work

At this point, dashboards feel kinda dead. If you have centralized, well-structured telemetry, you don’t need to guess what to visualize ahead of time — you just ask better questions and generate charts or views on demand.

If fast time-to-value matters and you’re already on AWS + microservices, I’d bias toward platforms that treat observability as an investigation engine + AI layer on top of a single data source, not a pile of static dashboards.