PointsBet has selected Grafana Cloud as its unified observability platform for its proprietary betting system.
The Australian wagering group is using the platform to bring together telemetry from across its technology stack, including real-time odds calculation, player account management, front-end applications and its betting engine. The aim is to improve incident resolution and give engineering teams a single view of system performance.
Observability tools help software teams track metrics, logs and traces across applications and infrastructure. In a live-betting business, where even brief outages or delays can disrupt customer transactions, response times to technical issues can have direct commercial consequences.
PointsBet generates large volumes of telemetry from multiple sources. By consolidating those signals into one platform, it aims to reduce the fragmentation that can slow investigations during incidents.
Daniel Lucas, Chief Technology Officer at PointsBet, described the technology platform as central to the business model.
"Our platform is our product. Grafana Cloud gives us one place to see everything - and the AI tools to act on it fast," said Lucas.
The rollout includes Grafana Assistant, an artificial intelligence tool designed to help engineers investigate and troubleshoot issues using natural-language queries. It is intended to help staff navigate dashboards and identify root causes without deep knowledge of specialist query languages.
PointsBet is also using Grafana Cloud Application Observability, which provides a view across distributed traces, metrics and logs. That gives teams visibility into service dependencies, latency issues and the impact of changes on customers.
Service ownership
The shift is also tied to how PointsBet organises its engineering work. A unified view of operations supports a service ownership model in which teams monitor and manage the systems they build.
Saurabh Vyas, Head of SRE at PointsBet, said the change is intended to reduce noise and speed up investigations.
"Observability used to mean drowning in dashboards, alert noise and waiting for someone else to tell you what's on fire," said Vyas.
"We chose Grafana Cloud because it brings technology and commercial teams together around a single view, helping build autonomous value streams. Grafana Assistant also means our engineers spend less time asking 'what's wrong' and more time fixing it. It supports the shift from reactive firefighting to teams that genuinely own their services end to end, helping us build a platform our customers can reliably bet on," said Vyas.
Grafana Labs said open-source components underpin the platform, including Grafana Loki, Grafana Tempo and Prometheus, alongside OpenTelemetry. The approach is intended to let companies collect and correlate observability data across a broad range of systems without being tied to a single proprietary standard.
Operational pressure
Real-time digital wagering platforms face heavy operational demands because transaction flows and pricing data can change within seconds. Systems must remain available while processing customer activity, updating odds and supporting account functions at the same time.
Anthony Woods, Co-founder of Grafana Labs, said those pressures make visibility across systems important for engineering teams.
"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 Woods.
"PointsBet's engineering team has built a sophisticated platform, and we're proud to give its 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," said Woods.