Built For Binary-Based Pipelines

Intelligent Monitoring For High Compute Workloads

AI-native log intelligence & compute optimisation for high compute pipelines, powered by eBPF. 1-minute install, no code changes.

Why Tracer?

We use custom cybersecurity technology and AI for deep pipeline optimization, debugging insights, and cloud cost improvements

Rightsize Your Compute
& Costs Continuously

Tracer maps process-level telemetry to
pipelines & recommends optimal compute
settings, cutting cloud spend by ~30%.

Check Your Savings
Rightsizing Dashboard Visual

Find Root Cause With
AI Native Logging

No more hunting through endless output.
Tracer pulls the problem straight
from the source.

Explore AI Native Logging
AI Native Logging Dashboard Visual

See Every
Pipeline, Run & Tool Live

Stay ahead of delays with real-time visibility
into your entire operation, including run-level
status to infrastructure health.

See Your Pipelines
Full Visibility Dashboard Visual

Stop Waste Before It
Drains Your Budget

Tracer helps you understand exactly where
your resources are going and how to use
them more efficiently.

Eliminate Waste Now
Stop Waste Dashboard Visual

Solution Briefs

Save Time and Money With Tracer

Benchmarked results show how Tracer cuts time, cost, and resource waste.

We identified 100+ unused instances in one click

28.1%

of cloud spend typically wasted on stale instances

101

of 348 running instances identified as stale

Observability Simplified. Savings Maximised.

Tracer Globe Asset

Works With Any Pipeline,
In Any Stack

No rewrites. No vendor lock-in. Tracer integratesseamlessly with your tools, frameworks, languages,environments from Snakemake to AWS Batch to Nextflow.

Frequently Asked
Questions

001

What is eBPF?

eBPF is a linux kernel technology that allows us to run code in response to events that happen in the kernel. This allows us to collect telemetry data at the kernel level for each container so you don't have to instrument or restart any of your containers. Checkout more at ebpf.io.

002

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.

003

What type of analyses or indications do you support?

Tracer supports any analysis running on Linux. Out-of-the-box, it works with bash, Python, and R, and integrates with workflow managers like Nextflow, AWS Batch, Slurm, and WDL.

We run seamlessly across AWS, GCP, Azure, and on-prem clusters. Other tools and environments may work with minimal configuration and we actively expand support based on user needs.

004

Is my data secure?

Tracer is built on zero-trust principles. All telemetry is encrypted in transit and at rest, and our infrastructure follows strict standards such as GDPR and HIPAA. Your data is never exposed, ensuring protection and transparency at every step.

By default, telemetry is processed in Tracer's secure systems. For teams with heightened compliance needs, we also offer a bring-your-own-cloud deployment option, keeping all data fully contained within your environment.

005

How long does it take to set up Tracer?

The platform is launched by integrating one line of code.

006

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.

007

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.

Ready To See Tracer In Action?

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