Launching today
FlintLab Sirius Platform
AI-Native Unified Device Infra PaaS
27 followers
AI-Native Unified Device Infra PaaS
27 followers
FlintLab is an AI-powered Infrastructure Platform as a Service (IPaaS) purpose-built to transform how modern engineering teams test, validate, and ship high-quality software. Our platform provides on-demand access to both real and emulated devices, along with containerized, cloud-native test environments, enabling organizations to simulate production-like conditions at scale, without the overhead of managing complex infrastructure.
Massive congrats on the launch! As a QA lead, the environment intelligence piece sounds like a massive timesaver. Does Sirius automatically log device vitals (CPU/Memory leaks) during heavy automated testing, or do we have to pipe those metrics out manually? @krishna_seerapu
@priya_kushwaha1 Thanks so much! 🎉
Yes, Sirius is designed to automatically capture and correlate device + environment telemetry during execution, so teams don’t have to build and maintain separate monitoring pipelines manually.
During automated test runs, Sirius can continuously collect:
CPU utilization
Memory consumption and leak patterns
Battery/thermal behavior
Network conditions and throughput
Device logs and crash traces
App performance metrics (launch time, ANR - App Not Responding, hangs, etc.)
The key differentiator is that the telemetry is tied directly to the session context — meaning device state, infrastructure events, and environment changes are correlated automatically. That makes root-cause analysis significantly faster compared to stitching logs together from multiple tools.
For advanced/custom observability stacks, Sirius can also integrate with external systems and export metrics if teams want deeper analytics or centralized monitoring workflows.
Really excited to see how teams use it at scale.
One of the biggest bottlenecks in modern engineering isn’t building software anymore — it’s reliably executing, validating, and scaling it across real-world environments. As AI agents, automation workflows, and multimodal applications evolve rapidly, infrastructure needs to evolve with them.
Sirius brings a fresh approach by combining real + virtual device orchestration, AI-native automation, observability, and scalable execution into a unified platform. The vision is to make infrastructure programmable, intelligent, and dynamic for modern QA, DevOps, automation, and platform engineering teams.
Building Sirius has been an incredible journey of rethinking how engineering teams interact with devices, environments, and execution infrastructure at scale. Excited to finally share it with the community and see where this journey takes us next