Mobile Observability Powered by AI
On-device ML filtering, S3-based cost-effective storage, and AI-driven insights for mobile apps that scale with your user base.
Intelligent Log Routing for Mobile Apps
On-device ring buffer captures everything, while smart routing sends only what matters to cost-effective S3 storage.
Always-on local storage captures all logs for immediate access and debugging.
Intelligently decide which logs to send to S3 for long-term storage, optimizing costs.
Cost-effective long-term storage for the logs that matter, with up to 70% savings.
The Mobile Observability Challenge
Why compromise between visibility, bandwidth usage, and storage costs?
The Mobile Data Trap
Traditional logging solutions consume precious bandwidth and device resources, leading to high costs and poor user experience.
The Visibility Gap
Mobile apps operate in unpredictable environments with intermittent connectivity, making it hard to capture the right data at the right time.
The Storage Cost Burden
Storing all mobile logs is prohibitively expensive, but traditional filtering misses critical context when issues arise.
Mobile-First Observability
On-device intelligence with dual storage strategy for real-time debugging and cost-effective retention.
S3 Cost Efficiency
Store logs in cost-effective S3 storage, reducing your observability bill by up to 70%.
On-Device ML
Filter noise at the source with lightweight machine learning that preserves battery and bandwidth.
AI-Powered Insights
Ask questions in plain English and get actionable answers about your mobile app's performance.
Control at Your Fingertips
Developers can easily toggle different parts of logging on or off across all their devices and services. Need more detail about user logins? Just flip a switch. Problem solved? Turn it back off to save costs.
Mobile-First Architecture
Built specifically for the unique challenges of mobile environments.
Dual Storage Strategy
Real-time ring buffer for immediate debugging plus S3 archival for long-term, cost-effective retention.
Natural Language Queries
Ask "What caused yesterday's crash spike?" and get immediate, actionable insights powered by LLMs.
Granular Control Policies
Route different log types based on severity, anomaly detection, or custom rules to optimize costs.
Predictive Monitoring
Identify potential issues before they impact users with AI-powered trend analysis and anomaly detection.
Developer-Friendly SDK
Easy integration with iOS and Android apps with just a few lines of code – no complex configuration required.
Competitive Edge
Unlike Datadog or Splunk, built specifically for mobile constraints with LLM-powered insights at a fraction of the cost.
Transform Your Debugging Experience
Sherlog doesn't just reduce costs – it makes your entire team more productive by finding answers faster.
Reduction in debugging time
Lower storage costs with S3
Reduction in bandwidth usage
Faster mobile incident resolution
Ready to Transform Mobile Observability?
Experience the power of AI-driven insights with cost-effective S3 storage for your mobile apps.