Tracer combines cutting-edge technological advances with the deep understanding of scientific industries to give insights into enterprises' digital and AI acceleration.
“We can't tell what's working or where things are falling apart.”
It's a common story:
Analytical pipelines break. Logs rarely explain why.
Sure, you can keep guessing what went wrong…
Or you can use Tracer — the observability
platform built for AI-driven science.
Tracer helps you effortlessly monitor tools, runs, and infrastructure with visual clarity and actionable diagnostics.
Forecast the exact running time and compute needs of your pipelines. Further optimise your underutilised instances and increase the usage of AI models in a cost-efficient manner.
Gain real-time, highly granular insights into every workload and process, independent of coding language or framework, including highly parallelised processes across instances.
Gain deep insights into the root causes of bugs across all analyses, recognise the error type, and solve instantly.
Tracer delivers unmatched visibility, speed, and accuracy for high-performance scientific computing — built from the ground up for the unique demands of research pipelines, not generic infrastructure.
Limited or missing logs from pipelines. No visibility into OS-level failures.
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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