PointsBet Goes All In on Grafana Cloud to Power AI-Driven Observability at Scale

Grafana Labs, the company behind the open observability cloud, announced that PointsBet, one of Australia’s fastest-growing digital wagering operators, has selected Grafana Cloud as its unified observability platform. PointsBet is using Grafana Cloud to consolidate telemetry across its proprietary betting platform, accelerate incident resolution with AI-powered insights, and give engineering teams the visibility they need to own and operate their services with confidence.

Also Read: AiThority Interview with Matej Bukovinski, Chief Technology Officer at Nutrient

“Our platform is our product. Grafana Cloud gives us one place to see everything — and the AI tools to act on it fast.” – Daniel Lucas, CTO, PointsBet

“Our platform is our product. Grafana Cloud gives us one place to see everything — and the AI tools to act on it fast.” – Daniel Lucas, CTO, PointsBet

Grafana Cloud was selected for its ability to deliver:

• Unified Observability Across Every Data Source: PointsBet’s proprietary platform spans real-time odds calculation, player account management, front-end apps, and a custom-built betting engine, all generating high-volume telemetry from multiple sources. With Grafana Cloud, PointsBet can ingest and correlate metrics, logs, traces, and profiles in a single open platform, ending the fragmentation that slows incident response. Built on OpenTelemetry and open source foundations including Grafana Loki, Grafana Tempo, and Prometheus, there’s no vendor lock-in — just a unified view of the stack. This flexibility is what enables PointsBet’s shift toward a true service ownership model: engineering teams can now observe, understand, and act on what they build.
• AI That’s Actually Useful: Grafana Assistant gives PointsBet engineers a context-aware AI co-pilot for investigation and troubleshooting, letting them query telemetry in natural language, navigate dashboards, and trace issues to root cause without deep expertise in PromQL, LogQL, or TraceQL. Now generally available in Grafana Cloud, Grafana Assistant can run multi-step incident investigations, generate and refine queries on the fly, and surface the right data at the right moment — keeping every action inside the tools teams already use. For a business where live betting windows close in seconds, reducing time-to-resolution isn’t a nice-to-have; it’s a competitive edge.
• Application Observability That Empowers Developers: Grafana Cloud Application Observability provides PointsBet’s teams with end-to-end visibility into how their services perform — surfacing service dependency maps, latency hotspots, and the customer impact of every change. By connecting distributed traces, metrics, and logs in a unified view, Application Observability helps teams understand not just that something broke, but why and who is affected.

“Observability used to mean drowning in dashboards, alert noise and waiting for someone else to tell you what’s on fire,” said Saurabh Vyas, Head of SRE, PointsBet. “We chose Grafana Cloud because it brings technology and commercial teams together on the single view building autonomous value streams — and Grafana Assistant means our engineers spend less time asking ‘what’s wrong’ and more time fixing it. It enables the shift from reactive firefighting to teams that genuinely own their services end to end and that helps us build a platform our customers can reliably bet on.”

“Real-time platforms at scale are some of the hardest systems to operate — every component has to perform under pressure, and every signal matters when something goes wrong,” said Anthony Woods, co-founder, Grafana Labs. “PointsBet’s engineering team has built a sophisticated platform, and we’re proud to give their engineers the observability foundation they need to operate it. Open, AI-powered, and built to cut through complexity — that’s exactly what Grafana Cloud is for.”

Also Read: ​​AI systems – Interoperable AI systems: Connecting models across platforms

[To share your insights with us, please write to psen@itechseries.com]