Running modern bioinformatics and data pipelines is expensive, fragile, and hard to debug.
Teams lose days often weeks chasing performance issues, overpay for underutilised compute and struggle to prove reproducibility in regulated environments.
Up to 40% of cloud spend goes unused due to oversized instances, idle jobs, and inefficient scheduling.
A single error can stall an entire workflow, with no clear visibility into where it occurred.
Cloud bills spike without warning. Inefficient scaling makes budgeting nearly impossible.
All-in-one observability for performance, cost, and compliance, purpose-built for
bioinformatics and data teams.
Tracer maps process-level telemetry to pipelines, then recommends
optimal compute settings, cutting cloud spend by ~30%.
No more hunting through endless output.
Tracer pulls the problem straight from the source.
Stay ahead of delays with real-time visibility into your entire operation.
From run-level status to infrastructure health, everything is one click away.
Tracer helps you understand exactly where your resources
are going and how to use them more efficiently.
Full-stack observability purpose-built for bioinformatics without changing how you work.
Start Tracing Your Pipelines
Tracer hooks into the OS with eBPF. No SDKs, wrappers, or pipeline rewrites needed.
Install in seconds, launch your pipelines, and start seeing live execution data right away.
All data is captured passively at runtime. No sensitive access, no interference, just clean insight.
From AWS Batch to SLURM, Tracer tracks thousands of tool instances in real time, with every job tied back to its pipeline.
See Tracer Handle 1000+ Instances
Track thousands of jobs across entire AWS Batch or SLURM at once.
Granular insight into individual processes, down to the core level.
Map infrastructure to pipelines to see exactly what's running where.
Our users save money, accelerate discoveries, and free up their engineers to focus on science, not firefighting.
See How Much You Could SaveLower cloud bills through better resource allocation.
Faster debugging with full trace visibility.
Fewer failed runs, eliminating wasted compute and reruns.
Install Tracer in seconds with a single line. No code
changes, no instrumentation, no agents to configure.
curl -sSL https://install.tracer.cloud/ | sudo bash && source ~/.bashrc && source ~/.zshrcTracer auto-detects jobs as they run, capturing system-
level signals from the OS in real time.
Open the dashboard to explore run timelines, step
bottlenecks, resource usage, and cost attribution – instantly.
No rewrites. No vendor lock-in. Tracer integrates
seamlessly with your tools, frameworks, languages,
environments from Snakemake to AWS Batch to Nextflow.
From automotive to biotech, Tracer brings real-time
monitoring and deep system-level insights to the most
data-intensive industries.
Do you run the pipelines for me?
We are not a workflow automation company and do not offer no-code solutions.
At Tracer, we believe that as scientific companies are increasingly adopting software to innovate, scientists are becoming software engineers. They want the flexibility to run their pipelines where they want and in their preferred configuration.
Tracer runs in the background as part of any pipeline you run, similar to observability for cloud engineering. We provide a dashboard to know what is happening in real time for monitoring and insights at all levels of the organisation.
Do you run the pipelines for me?
We are not a workflow automation company and do not offer no-code solutions.
At Tracer, we believe that as scientific companies are increasingly adopting software to innovate, scientists are becoming software engineers. They want the flexibility to run their pipelines where they want and in their preferred configuration.
Tracer runs in the background as part of any pipeline you run, similar to observability for cloud engineering. We provide a dashboard to know what is happening in real time for monitoring and insights at all levels of the organisation.
What type of analyses or indications do you support?
We support any analysis running on Linux systems. Tracer recognises any computational biology framework or tool, written in bash, Python, or R. It supports the most common workflow management and schedulers, including Nextflow, AWS Batch, Slurm, and WDL.
What type of analyses or indications do you support?
We support any analysis running on Linux systems. Tracer recognises any computational biology framework or tool, written in bash, Python, or R. It supports the most common workflow management and schedulers, including Nextflow, AWS Batch, Slurm, and WDL.
Is my data secure?
Tracer is built on zero-trust principles. We use strong encryption and a secure infrastructure setup, following industry standards, including GDPR and HIPAA, to ensure full protection and transparency at every step.
All your data stays in your hands at all times. Unlike SaaS-based solutions, Tracer uses a ‘bring-your-own-cloud’ approach, where nothing gets exported ever.
Is my data secure?
Tracer is built on zero-trust principles. We use strong encryption and a secure infrastructure setup, following industry standards, including GDPR and HIPAA, to ensure full protection and transparency at every step.
All your data stays in your hands at all times. Unlike SaaS-based solutions, Tracer uses a ‘bring-your-own-cloud’ approach, where nothing gets exported ever.
How long does it take to set up Tracer?
The platform is launched by integrating one line of code.
How long does it take to set up Tracer?
The platform is launched by integrating one line of code.
How is Tracer different from other observability companies?
Tracer uses the latest technological advances to extract rich information directly from the operating system, offering unprecedented visibility into complex scientific pipelines.
How is Tracer different from other observability companies?
Tracer uses the latest technological advances to extract rich information directly from the operating system, offering unprecedented visibility into complex scientific pipelines.
Why do you need to go to the Operating System (OS) to collect the information about the pipelines?
The tools and frameworks packages used in scientific industries often provide non-descriptive logs, if they are there at all. These logs also do not adhere to OpenTelemetry standards, meaning any observability platform that extracts information from the application layer will not be helpful.
Tracer uniquely uses synthetic log generation, extracting information directly from the operating system and reformatting it to OpenTelemetry standards.
Why do you need to go to the Operating System (OS) to collect the information about the pipelines?
The tools and frameworks packages used in scientific industries often provide non-descriptive logs, if they are there at all. These logs also do not adhere to OpenTelemetry standards, meaning any observability platform that extracts information from the application layer will not be helpful.
Tracer uniquely uses synthetic log generation, extracting information directly from the operating system and reformatting it to OpenTelemetry standards.
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