Scaling at startup speed: Lovable’s journey to smarter observability with Grafana Cloud

AI app builder Lovable has quickly become one of Europe’s fastest-growing startups, helping users instantly generate front-end web applications using natural language prompts. As the company scaled from launch to $100M ARR in less than eight months, the company’s small engineering team faced a big challenge: how to consolidate observability across multiple cloud providers while maintaining startup speed.

Lovable’s observability was scattered across several cloud providers, making it difficult to gain a clear view of performance across systems. The team needed a centralized platform that could connect diverse data sources, support OpenTelemetry, and provide reliability.

That’s when Lovable turned to Grafana Cloud, which let the team keep open standards while gaining scalability, performance, and hands-on support. They also benefited from features only available in Grafana Cloud, including the Adaptive Telemetry suite, which helped them lower their costs considerably and operate more efficiently.

“Grafana Cloud gave us a single place for all our observability and the freedom to integrate with all the tools in our tech stack,” said Viktor Eriksson, Member of Technical Staff at Lovable.

Building unified observability from day one

Lovable chose Grafana Cloud to monitor all their telemetry signals – metrics, logs, traces, and profiles – in one place, giving them an integrated stack that could handle their growing workloads without the operational strain.

Grafana’s extensive datasource support and plugin ecosystem meant Lovable could integrate its entire stack quickly. The flexibility of Grafana’s platform also allowed them to swap out specific components when needed without disruption, keeping Lovable’s monitoring open, adaptable, and vendor-neutral.

Scaling with flexibility and reliability

As Lovable’s user base grew, telemetry volume expanded rapidly. To keep costs under control, the team adopted Adaptive Metrics, part of the Adaptive Telemetry suite. This feature automatically drops redundant time series and controls data growth reducing Lovable’s metrics volume by 93%. That alone translated into tens of thousands of dollars in monthly savings.

“Adaptive Metrics helped us drastically reduce costs while keeping the visibility we needed,” says Eriksson.

The team also began using Adaptive Traces to manage high-throughput tracing more efficiently, and Grafana Cloud Profiles to analyze performance issues like memory leaks directly through Grafana’s interface.

Results: a reliable, scalable observability foundation

Today, Lovable runs a unified observability stack in Grafana Cloud, and the results speak for themselves:

• Improved reliability: Grafana Cloud delivers consistently stable performance, with minimal outages and dependable uptime.
• Costs controlled: Adaptive Metrics reduced redundant time series and cut spend by tens of thousands of dollars each month.
• Broad integration: Large datasource and plugin support allow Lovable to consolidate observability across multiple providers in one place.
• Enhanced efficiency: Grafana Cloud Profiles and Adaptive Traces enable the team to diagnose issues faster and optimize performance.
• “White-glove” support experience: Direct communication with engineering, and faster response times have transformed the partnership.

What’s next for Lovable

As Lovable continues to grow at startup speed, the team is focused on scaling efficiency and deepening visibility across its entire platform. They’re consolidating more of their monitoring within Grafana Cloud, including Frontend Observability to gain a true single pane of glass for all services.

They’re also now exploring AI-powered observability with Grafana Assistant, a context-aware AI agent built for Grafana. They think it can help Lovable engineers stay lean and accelerate troubleshooting by reducing mean time to resolution.

For Lovable, Grafana Cloud has become more than an observability platform, it’s a strategic partner enabling the company to innovate faster, scale smarter, and stay focused on building the next generation of AI-driven experiences.