Optimize Frigate YAML & go2rtc

@juanpablomacf

⭐⭐⭐⭐⭐ Optimised Frigate + go2rtc setups with lean YAML, stable dual‑stream camera mapping and major CPU reductions on MS‑01.

@arifnafees

With over 14 years of experience in System and IT administration, I have honed my skills in identifying and resolving complex technical issues efficiently. My expertise extends to cloud computing (AWS, Azure), containerization (Docker, Kubernetes), DevOps (Jenkins, Bitbucket, Github), Virtualization (Vmware Vsphere), high availability and disaster recovery (Veeam Backup & Replication), and much more. Given your project description, I assure you that my technical background aligns perfectly with your requirements. In my career, I have successfully optimized numerous systems just like yours. As a proficient user of Frigate and go2rtc, I am confident about auditing and rewriting YAML files to drive efficient system performance. What sets me apart is my commitment to document the changes made inside yaml files. This allows you to gain an understanding of the optimizations done and utilize that knowledge for future reference. Let me bring my experience and skills to bear on your project: optimizing your Frigate YAML settings and go2rtc architecture. Aim: better performance at an efficient CPU usage;Keep rounded camera feeds attached throughout! It is my desire to consistently deliver value-adding solutions that meet unique client needs. Task me with taming Frigate and go2rtc; together we'll achieve the trifecta of a really efficient system running smoothly as your high-end hardware should!

@dvcontact

Hello Sir, Would you like to see a demo of the optimized Frigate and go2rtc configurations before making any commitments? My proposal involves a comprehensive audit and rewrite of your current YAML settings, eliminating inefficiencies to significantly reduce CPU usage while ensuring seamless performance across all eight cameras. I invite you to discuss the details further and explore how my expertise can transform your setup into an efficient powerhouse with no dropped frames or unnecessary loads. Regards, Smith

@AndrewJSMAN

I’ve optimized Frigate and go2rtc setups before, so this is right in my wheelhouse. I’ll audit the YAMLs, strip redundant directives, and refactor the go2rtc mappings to avoid transcoding. I’ll validate camera connections, tune Coral detection, and document every change. After deployment, I’ll verify CPU usage stays below thresholds and confirm no dropped frames. I can start immediately. Thanks, Andrii.

@melopgabriel

Hi, your setup already has the right hardware; the issue is likely in how Frigate and go2rtc are wired together. With eight cameras and dual streams each, small YAML mistakes can easily cause extra decoding, unnecessary restreaming, and higher CPU than expected. I’ve worked on Frigate and go2rtc configurations where the goal was simple: keep detection on the Coral, reduce load, and make every camera stable on both streams. I’d start by auditing both files line by line, removing duplicate or conflicting settings, then rewrite the camera, detect, record, snapshot, and restream sections so the paths are clean and efficient. I’ll also document every change directly in the YAML so the final config is easy to maintain. If you’d like, I can turn your current stack into a leaner setup that matches the hardware’s real capacity. Best regards, Gabriel

@Lincolnwhiz

My approach is grounded in a thorough examination and clear documentation of existing systems before making modifications - a strategy that aligns perfectly with your expectations. Transposing this to your project, I will review your current yaml files; identifying any conflicts or redundancies before creating a clear and commented yaml document that's ready for deployment into your Docker stack. What sets me apart from other freelancers is not just my technical expertise but also my commitment to delivering outstanding results. I am fully dedicated to optimizing your system for optimum performance - reducing CPU usage even under motion load to ≤ 35% for smoother operation; ensuring reliable connectivity for all eight cameras on both streams; and fine-tuning detection, recording, and snapshot settings specifically tailored to leverage the USB coral accelerator. Beyond optimization,