based on user reports and queries over the last 24 hours
Brev AI outage statistics
- Support email at support@brev.dev or hello@brev.dev;
- Discord community at brev.dev/discord for peer support;
- Help documentation at docs.brev.dev;
- GitHub issues for CLI and technical problems.
- Official Website - https://brev.dev;
- Documentation - https://docs.brev.dev;
- Discord Community - https://brev.dev/discord;
- X (Twitter) - https://x.com/brevdev;
- GitHub - https://github.com/brevdev;
- LinkedIn - https://www.linkedin.com/company/brevdev;
- YouTube - Search "Brev.dev" for tutorials.
Service disruptions manifest as brev.dev website not loading, development environments failing to start, API endpoints unresponsive, or complete platform unavailability.
- Check Brev status page and social media for incidents;
- Refresh browser with hard reload (Ctrl+F5 or Cmd+Shift+R);
- Test platform access from different browsers;
- Verify stable internet connection without packet loss;
- Clear browser cache, cookies, and local storage;
- Try accessing via CLI tool if web interface fails;
- Switch between different network connections;
- Wait 15-25 minutes during suspected maintenance;
- Check if issue affects specific cloud regions;
- Monitor community channels for outage reports.
Account access issues include login failures, SSH key rejection, credential errors, or session expiration problems.
- Verify email address and password entered correctly;
- Use "Forgot Password" feature for credential reset;
- Check email inbox and spam for verification links;
- Clear browser cookies specifically for brev.dev;
- Attempt login from different browser or device;
- Confirm email verification completed during signup;
- Try GitHub or Google OAuth if account linked;
- Regenerate SSH keys if authentication failing;
- Ensure browser accepts third-party cookies;
- Contact support if account appears suspended.
Instance creation failures include environments stuck in provisioning, startup timeouts, or launch errors occurring.
- Check cloud provider quota limits not exceeded;
- Verify sufficient credits or billing configured;
- Review environment configuration for errors;
- Try launching smaller instance type first;
- Check selected region has available capacity;
- Wait for previous environment to fully terminate;
- Verify GPU availability if requesting GPU instances;
- Clear browser cache and retry launch;
- Try launching from CLI instead of web;
- Review launch logs for specific error messages.
Access problems involve SSH connection failures, VS Code not connecting, or terminal access denied.
- Verify environment status shows "Running" in dashboard;
- Check SSH keys properly configured in account;
- Test SSH connection from terminal directly;
- Verify firewall rules allow SSH traffic (port 22);
- Try reconnecting after network change;
- Check VS Code Remote extension installed correctly;
- Use web-based terminal as alternative access;
- Verify SSH config file properly formatted;
- Check VPN not blocking connection;
- Restart environment if persistent connection failures.
Hardware-specific problems include GPUs not detected, CUDA errors, insufficient memory, or resource allocation failures.
- Verify GPU instance type selected correctly;
- Check GPU drivers loaded with nvidia-smi command;
- Confirm CUDA toolkit installed in environment;
- Review resource limits for your subscription tier;
- Try different GPU type if current unavailable;
- Check GPU memory not exhausted by processes;
- Verify machine learning framework compatible;
- Monitor resource usage in environment dashboard;
- Restart environment to reset GPU state;
- Request quota increase for higher resources.
Software management issues involve package installation errors, dependency conflicts, or environment setup failures.
- Update package manager indices (apt update, pip install --upgrade);
- Check internet connectivity from environment;
- Verify sufficient disk space for installations;
- Use virtual environments for Python dependencies;
- Check package compatibility with system version;
- Try installing packages individually to isolate issues;
- Review installation logs for specific errors;
- Use Docker containers for complex dependencies;
- Clear pip or apt cache if corrupted;
- Check repository mirrors accessible from environment.
Data persistence problems include files disappearing after restart, volume mounting failures, or storage quota errors.
- Verify persistent storage properly configured;
- Check files saved to persistent volume path;
- Review storage quota limits not exceeded;
- Confirm volume mounted correctly in environment;
- Backup important data regularly to external storage;
- Check file permissions on persistent directories;
- Verify storage region matches environment region;
- Monitor disk usage with df command;
- Test writing files to persistent path explicitly;
- Contact support for data recovery assistance.
CLI functionality problems involve brev CLI commands failing, outdated CLI version, or authentication errors via terminal.
- Update Brev CLI to latest version available;
- Check CLI installation with brev --version command;
- Verify CLI authenticated with brev login command;
- Review CLI configuration file for errors;
- Check PATH environment variable includes Brev;
- Try reinstalling CLI from official sources;
- Verify API credentials valid in CLI config;
- Test CLI commands with verbose output flag;
- Check firewall allows CLI API connections;
- Review CLI documentation for command syntax.
Network connectivity problems include exposed ports not accessible, tunneling failures, or webhook endpoints unreachable.
- Verify ports properly exposed in environment config;
- Check firewall rules allow traffic to exposed ports;
- Test local connectivity before external access;
- Use correct public URL format from Brev dashboard;
- Verify service running and listening on specified port;
- Check port number not conflicting with system ports;
- Try different port number if current failing;
- Review network logs for connection attempts;
- Test with curl or telnet to verify connectivity;
- Contact support for persistent networking issues.
Management issues involve environments not stopping, deletion failing, or stuck in terminating state.
- Wait 5-10 minutes for graceful shutdown;
- Try force stop option if available;
- Check no active SSH sessions preventing shutdown;
- Verify billing allows environment termination;
- Clear browser cache and retry operation;
- Try stopping via CLI instead of web interface;
- Check environment not locked by processes;
- Review termination logs for errors;
- Contact support for stuck environments;
- Verify no protection settings preventing deletion.
IDE integration problems include VS Code Remote not connecting, extension errors, or workspace sync failures.
- Update VS Code and Remote-SSH extension;
- Verify SSH configuration in VS Code correct;
- Check SSH key passphrase if using protected keys;
- Try reconnecting after VS Code restart;
- Review VS Code Remote logs for errors;
- Test SSH connection outside VS Code first;
- Verify VS Code settings not blocking connections;
- Try removing and re-adding remote host;
- Check VS Code firewall permissions;
- Use web-based editor as temporary alternative.
Financial concerns include billing failures, unexpected resource costs, credit depletion, or payment method errors.
- Review detailed usage reports in billing dashboard;
- Verify payment method valid and not expired;
- Check for environments left running accidentally;
- Monitor resource usage and associated costs;
- Set up spending alerts and budget limits;
- Understand pricing structure for instance types;
- Review invoice line items carefully;
- Stop unused environments to prevent charges;
- Contact billing support with transaction IDs;
- Request itemized breakdown of charges.
Template deployment issues involve starter templates failing, configuration errors, or pre-configured environments broken.
- Try different template to isolate issue;
- Review template requirements and prerequisites;
- Check template compatible with selected instance;
- Verify all required environment variables set;
- Review template logs for configuration errors;
- Start with minimal template then customize;
- Check template repository for known issues;
- Verify dependencies available in environment;
- Try manual setup if template consistently fails;
- Report template bugs with specific details.
Speed and efficiency issues encompass sluggish computation, high latency, or resource contention problems.
- Monitor CPU and memory usage with top or htop;
- Check disk I/O performance with iostat;
- Verify network latency to environment region;
- Scale up to larger instance type if needed;
- Close unnecessary processes consuming resources;
- Check for runaway processes with high CPU;
- Optimize code for better resource efficiency;
- Consider GPU acceleration for ML workloads;
- Test during off-peak hours to isolate load;
- Review application logs for performance bottlenecks.
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