LOCI Shift Observability Left Agent
Closing the gap on missing data in current observability tools
GranularTelemetry
Real-TimeMonitoring
Contextualized System overview
HW SpecificInsights
Detection of Performance Degradation
Granular Telemetry
Provides breakdown specific function calls and individual performance.
Real-Time Monitoring
Predicts traceable points, achieving 90% of data acquisition compression. Avail. Q2, 25
Contextualized System overview
Builds visualization of full systems' contextualization, CPUs and GPUs.
HW Specific Insights
Provides CPU-bound vs. HW acceleration operation, providing APIs to ensure optimal workload placement.
Detection of Performance Degradation
Shift left Symbolic execution prediction for static data execution, automatically identifies performance degradation.
Shift Observability Left with LOCI
Traditional observability catches problems after they occur. LOCI brings observability into the design and build phase – predicting failures before they reach production.
LOCI bridges this gap by modeling compiled binaries with real-world execution data, enabling it to:
- Predict performance impacts
- Detect degradations across software versions
- Identify power-hungry functions
- Optimize resource efficiency
- Provide test coverage references
- Enhance testing & validation
Converge static and dynamic analysis for early-stage optimizations
Unlock R&D Productivity & Reduce Time to Resolution
Designed for companies developing performance-critical infrastructure, LOCI provides actionable insights on CPU/GPU workloads, power consumption, CPU usage, and performance degradation—complete with precise root cause evidence spanning both software and hardware domains.
LOCI dramatically reduces Mean Time to Resolution (MTTR) and enhances key performance indicators (KPIs) by shifting performance analysis left in the development cycle.
Key Benefits:
- Detects issues immediately after build
- Minimizes costly late-stage performance issues
- Faster performance debugging & fixes
- Power efficiency gains
- Rapid root cause analysis
- Enhance testing optimization
Seamless CI/CD Integration for Early Optimization
LOCI integrates directly into CI/CD pipelines, providing real-time feedback post-build and eliminating the need for extensive post-deployment profiling. This ensures continuous monitoring, early anomaly detection, and reduced rollbacks/hotfixes, leading to a more stable and efficient release software cycle.
Seamless CI/CD Integration
Shift observability Left Key capabilities:
Performance Degradation Mitigation
LOCI predicts symbolic execution cycles for each software component across cloud, server, and embedded hardware systems. This deep analysis protects against cold startups, timeouts, and time-event deviations by analyzing atomic cycles and program counter-branching mechanisms, ensuring optimal system performance: Performance Indicators:
- Latency: Time to process requests
- Throughput: Number of requests processed per second
- Response Time: Time taken to respond to an end-user query
- Execution Time: Time taken to execute a module
- Model Inference Time: Time taken for a model to produce output
Energy and Power Optimization
LOCI predicts power hungry workload tasks per application and service, providing actionable recommendations for optimizing system performance and efficiency. Power indicators:
- Energy distribution, Max, Mean, Min. per
- service, and workloads
- Prediction on static data
- Monitoring and trend prediction in real time
- Root cause - where to optimize
Quality analysis
Quality indicators:
- Branch Coverage - indicates all branch execution possibilities for designing all possible test scenarios to achieve the minimal risk of untested paths.
- Behavior Impacts - indicates if the system is functioning within a “safe zone” of acceptable parameters, with negligible or no noticeable impact on performance
- Test strategy - enabling analysis of unforeseen consequences among interconnected symbols, symbol influencers and influenced symbols behavior analysis identified butterfly effect meaning which symbol to include into unit test and test scenarios
LOCI examines both source code and compiled binary files to uncover root cause evidence, enabling teams to anticipate and prevent potential unforeseen consequences before production deployment. This shift-left proactive approach significantly enhances software reliability and reduces post-deployment issues.
LOCI Agent | Shift Observability Left Use Case:
Predicts power spikes, thermal overruns, and missed deadlines before deployment.
Examples:
90% fewer thermal throttling incidents in field systems
75% fewer post-deployment performance surprises