Dabble Bets On Grafana Cloud and Grafana Assistant to Cut Incident Response Times
Dabble transitions from self-hosted Grafana to fully managed Grafana Cloud, adding Adaptive Telemetry to control observability costs as it scales across Australia, the US, and the UK.
SYDNEY, August 31, 2026--Grafana Labs, the company behind the open observability cloud, today announced that Dabble, an Australian-founded social sports betting platform with a growing global footprint, has selected Grafana Cloud as its observability platform. Dabble is using Grafana Cloud to give its SRE, Cloud, and Engineering teams a single view across metrics, logs, and traces as it scales its operations across Australia, the US, and UK.
Dabble came to Grafana Cloud as an existing Grafana open source user actively building out its SRE function. As the team grew, the limitations of a self-managed stack became clear: visibility gaps between tools made it harder to correlate signals during incidents, and the operational overhead of maintaining self-hosted infrastructure was pulling engineering time away from product. According to Grafana Labs' 2026 Observability Survey, 38% of organizations cite complexity and overhead as their top observability concern ahead of cost and signal-to-noise challenges, and 30% say alert fatigue is the single biggest obstacle to faster incident response.
By moving to Grafana Cloud, Dabble's teams can now correlate metrics, logs, and traces in a single interface, replacing the fragmented visibility that previously created gaps during incidents. The managed infrastructure meant Dabble could deprecate its self-hosted stack without carrying the operational overhead, freeing the team to focus on building out its SRE function rather than maintaining the platform underneath it.
Faster investigation with Grafana Assistant: Grafana Assistant gives Dabble's on-call engineers an AI-powered layer directly inside their observability workflow. Rather than manually querying across dashboards during an incident, engineers can ask natural language questions, get correlated answers grounded in their actual telemetry, and surface root cause faster without context-switching to separate tools or documentation. In a live sports betting environment where incidents during peak events carry real business cost, the reduction in investigation time matters directly to the product.
Intelligent data management with Adaptive Telemetry: As Dabble's infrastructure grows across three markets, so does the volume of telemetry it generates. Adaptive Telemetry lets the team control what data is retained and at what resolution, automatically reducing the cost of storing signals that aren't actionable, without sacrificing coverage on the data that is. This gives Dabble a path to scale their observability footprint alongside their market expansion without telemetry costs scaling linearly with infrastructure.
Reduce MTTR through correlated signals: Dabble is using Grafana Cloud's unified alerting and correlated signal views to improve alert fidelity and cut mean time to resolution. Rather than pivoting between tools to reconstruct what happened, on-call engineers can trace an incident from alert to root cause within a single pane of glass.
Cross-team visibility at scale: Grafana Cloud gives Dabble's SRE, Cloud, and Engineering teams shared context across their infrastructure, reducing the coordination overhead that comes with siloed observability. As Dabble expands into US and UK markets over the next 12–18 months, that shared foundation becomes critical.