Building Observability-Driven Performance Benchmarking Frameworks
- Nandita Gadgil

- Aug 4
- 3 min read
Updated: Nov 21
Complex computing environments, spanning cloud, HPC, AI, and edge workloads; observability is no longer optional. With multiple layers of hardware and software working together, traditional monitoring alone cannot surface the insights needed for optimizing performance or preventing downtime.
At Whileone Techsoft Pvt. Ltd., we help companies go beyond monitoring by building deep observability frameworks that connect performance benchmarking, system analytics, telemetry, and profiling.
This integrated approach helps engineering teams gain complete visibility into their systems, enabling faster debugging, reduced operational costs, and enhanced end-user experiences.
Why Observability Matters
As infrastructures scale and workloads diversify, blind spots emerge. This can lead to:

Observability addresses these challenges by providing end-to-end visibility into the state and behavior of your systems. This means you can detect issues earlier, understand their root causes, and fix them before they impact users.
Observability vs. Traditional Monitoring
Traditional monitoring answers the “what”, for example, CPU utilisation or error counts. Observability goes deeper and answers the “why” behind performance issues.
It focuses on three core pillars:
Metrics – Quantifiable measurements (e.g., latency, throughput)
Logs – Detailed event records for context
Traces – Understanding requests as they travel across distributed systems
At Whileone Techsoft, we layer these pillars with analytics, telemetry, and profiling to deliver actionable insights.
Performance Benchmarking: The Foundation
Our Performance Benchmarking Services form the cornerstone of observability. We help companies:

This data-driven approach uncovers bottlenecks early before they become costly in production.
System Analytics for Deeper Understanding
Benchmarking generates performance data, but analytics transforms that data into insights. System analytics helps teams understand:
How workloads utilize CPU, memory, I/O, and network resources
Correlation between resource consumption and performance outcomes
Trends and anomalies in system behavior over time
Our analytics frameworks leverage advanced models to identify optimization opportunities, ensuring your workloads perform consistently and reliably.
Telemetry for Real-Time Visibility
Telemetry extends observability by collecting live data from hardware, firmware, middleware, and applications.
It captures fine-grained performance metrics continuously
Enables proactive alerts for deviations from benchmarks
Allows visualization of live system health through unified dashboards
Whileone’s use of open standards like OpenTelemetry makes this telemetry layer scalable and interoperable with your existing tools.
Profiling for Root Cause Analysis
Even the best benchmarking and telemetry setups cannot replace profiling when you need detailed root cause analysis.
System-level profiling: Identifies hotspots in the kernel, drivers, or hardware interfaces
Code-level profiling: Finds inefficient functions, loops, or algorithms in the application stack
By correlating profiling data with benchmark and telemetry insights, we help engineering teams quickly diagnose and resolve performance regressions.
An Integrated Observability Framework
At Whileone Techsoft, we integrate benchmarking, analytics, telemetry, and profiling into a single observability framework:
Unified dashboards to correlate data across layers
Automated workflows for continuous testing and monitoring
Cross-silo visibility that spans hardware, system software, and applications
This holistic approach ensures reliable, high-performance outcomes for pre-silicon validation, cloud workload optimization, and edge deployments.
Benefits of Observability-Driven Benchmarking

Real-World Example
One of our semiconductor customers was struggling with inconsistent performance in their post-silicon validation phase. By deploying Whileone’s observability-driven benchmarking framework, they were able to:
Pinpoint compiler-level inefficiencies using code profiling: https://www.whileone.in/post/tuning-compiler-flags-for-custom-hardware
Correlate memory bandwidth metrics from telemetry data with workload performance: https://www.whileone.in/post/investigating-performance-discrepancy-in-hpl-test-on-arm64-machines
Best Practices for Building Observability

Observability is no longer a “nice-to-have”, it’s essential for ensuring reliable, high-performance systems. Whileone Techsoft Pvt. Ltd. brings together performance benchmarking, system analytics, telemetry, and profiling to build observability frameworks tailored for semiconductor companies, cloud providers, and software enterprises.
Ready to take your performance engineering efforts to the next level? Reach out to us to learn how our observability-driven services can help you reduce costs, accelerate time-to-market, and achieve industry-leading performance.




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