Visibility Is All You Need

const metadata = ; We're working on a new startup idea called Tracer. Hereby we wanted to share more about the product, the journey so far, and the "why" behind it. Tracer is a single platform that helps bioinformaticians understand if their high compute software is working well and how to make it better. As high compute surges across life science and from semiconductor design to aerospace, we believe scientists and engineers should experience the same leap cloud computing brought to application development in the 2000s, and ask "what can I do with all this immense power?" We saw this power being limited. Infrastructure is the bottleneck. We are building the solution. Here's why.  Quiet Infrastructure for Ambitious Science In the last decade, science became programmable; mRNA vaccines, rewritable microbes; self- materials. Since then, the bench has been inundated with more data, more alerts, and more ways for things to fail. Focus is pulled into resource misallocations and pipeline errors - when it should be on identifying the DNA mutations that trigger an immune response against cancer cells. These distractions could be handled by robust infrastructure - but that isn't happening. Because science scaled without its stack. In biotech alone, Novartis has more than doubled IT assets in three years, and AstraZeneca invests over $2.5B annually in infrastructure. Yet this surge in computing power hasn't been matched with developer tooling - Bioconductor, Biopython, and AlphaFold now serve millions without the infrastructure to match their pace. We are building it: the missing infrastructure layer, the first verticalized observability platform tailored to scientific high compute. What does better observability achieve? Better observability makes infrastructure quiet - teams gain the visibility and control to run like engineers but think like scientists. Right now, opaque infrastructure wastes time and money with guesswork. - Wait for a run to finish to discover it failed 30seconds in. - Logs are incomplete, making debugging a manual time sink. - Resource needs are estimated blindly, wasting both time and budget. Tracer gives time back. By embedding an error database directly into the Linux runtime, our goal is to provide deterministic, in-place error resolution that nobody has accomplished yet. We connect to the OS; active runs are now visible and accessible through comprehensive logs and metrics. HPC environments run smoothly; teams reclaim focus and forward momentum.  How Tracer Is Rebuilding Observability For Science Focus is a precious resource. We learned how rare it is. Our founders experienced firsthand the high-level waste of weak infrastructure and daily setbacks of chasing errors. The cost of fragmented focus is quality. This is not a trade-off science can afford. Vaccines don't ship now, fix later - they protect billions. We asked ourselves how to maintain quality: - What if monitoring, rightsizing, and scaling were automatic? - What if pipelines just ran, steady and predictable, without constant fixes? We were building the best observability tool on the market. But our team realized science does not just need better monitoring - it needs a new definition of observability. In other industries, it means seeing the problem. In science, it should mean removing it. We started to ask a better question: 'What if infrastructure didn't compete for attention - but gave it back?' Tracer's Stack: - Intelligent logs - Automatic rightsizing - Real-time cost optimization - Smart tooling recommendations  The Moonshot We're starting in bioinformatics which happens to be one of the fastest-growing HPC domains - but our stack isn't domain-bound. In solving bioinformatics' hardest infrastructure challenges first, we've built robust OS-level capabilities that have broad applicability, giving us strong technical leverage as we expand. The same OS observability that stabilizes genomic pipelines will stabilize: - Aerospace simulations - Climate models - Materials prototypes We are delivering the scaffolding for all industry HPC; any team, any mission. The perfect infrastructure won't solve science - but it will free up the people who can.  _We're building Tracer, which is the world's first verticalized observability platform tailored to scientific high performance computing (HPC) environments. We surpass traditional observability by embedding an error database directly into the Linux runtime – providing error resolution capabilities that nobody has accomplished yet._