It helps teams understand where resources are used, how performance changes over time, and how workflow reliability can be improved across environments.
Value for Developers and Engineers
Tracer was designed for scientists, DevOps engineers, and compute-heavy pipeline developers to solve real-world problems.The questions below reflect recurring challenges teams have shared during customer calls, the everyday issues Tracer is designed to address.
| Question | How Tracer Solves It |
|---|---|
| How can I see what job is actually running right now? | Tracer gives you real-time metrics and costs at the tool, sample, and pipeline levels, without manual digging. |
| How can we debug failures faster or even predict them? | Tracer auto-logs every step, even tools without logs, and ties failures to system causes instantly. |
| How do we catch idle instances before they burn money? | Tracer flags idle jobs and over-allocated compute in real time, preventing cloud burn. |
| How do we simplify our complex setups? | Installed with one line and zero code, Tracer brings centralized observability across all environments. |
Cost Optimization
Tracer helps organizations uncover and eliminate hidden inefficiencies in their compute infrastructure. By continuously profiling resource use at every layer, it enables teams to:- Detect over-provisioned or idle compute resources
- Identify tasks that underutilize assigned CPUs or memory
- Optimize job scheduling and instance types
- Cut cloud and HPC costs by 20–40% on average
Performance Improvement
Beyond cost, Tracer improves scientific throughput by exposing the “why” behind pipeline slowness.- Pinpoint slow-running tasks, filesystem bottlenecks, or I/O contention
- Visualize CPU, GPU, and memory utilization per container, node, or tool
- Identify scheduler delays and imbalance across parallel jobs
- Reduce total pipeline execution time through data-driven tuning
Operational Efficiency
Tracer consolidates observability across environments, helping teams manage complex scientific operations without overhead.- Unified dashboard for all pipeline runs, across cloud, on-prem, and hybrid HPC
- Automatic correlation of distributed, multi-node workflows
- Real-time alerts for failures or anomalies
- Historical performance timelines for trend and root-cause analysis
Next Steps
Ready to see Tracer in action?Get started for free or book a demo to learn more. Or dive deeper into our groundbreaking technology:
