Track trace data with SQL in Observability Analytics

Cloud Trace is now GA in Observability Analytics, and Google Cloud says you can query trace data with SQL, join it with logs, and chart the results. That makes trace analysis much more flexible for engineering and FinOps teams.

This is a strong fit for teams investigating performance-related cost drivers. When trace data can be queried alongside logs, it’s easier to connect application behavior to resource usage.

It also helps teams optimize how they use infrastructure. Better observability can lead to faster root-cause analysis and more informed cost decisions.

Cut serving costs with finer Cloud CDN cache control

Cloud CDN now supports cache policies at multiple URL map levels for global external Application Load Balancers. Google Cloud says the policies can be based on hostname, path, headers, and query parameters.

That’s valuable when different traffic patterns need different caching behavior. More granular cache control can reduce origin egress and help lower serving costs.

It also gives teams more precision without redesigning the whole CDN setup. If you’re trying to tune delivery costs, this kind of control can make a real difference.