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Nathan Clark

Infrastructure-as-code in the life sciences

Infrastructure-as-code in the life sciences

TL;DR - Don't use the cloud console to manage your cloud infrastructure. Instead, implement infrastructure-as-code (IaC) tools like Terraform or OpenTofu. Or use a Platform-as-a-Service designed for the life sciences like Ganymede. The life sciences are particularly prone to manually configured infrastructure because bioinformatics setups form a

The Ins and Outs of Lab Automation in 2025

The Ins and Outs of Lab Automation in 2025

In #1: Modular Data and Lab Systems - For years, labs have been racing to build out advanced workcells—purchasing shiny, custom hardware solutions to automate processes. The result has often been a collection of “islands of automation,” each with its own protocols and data silos. Now in 2025, the

From Indication to IND: Building Your Lab Data Tech Stack

From Indication to IND: Building Your Lab Data Tech Stack

Labs need a sophisticated data stack. In fact, an advanced lab data tech stack is just as important as advanced scientific equipment. Modern lab data tech stacks should help labs answer key questions about their data, including: * What did a person do, or what should they do? To understand human

Instrument Reliability and Monitoring: Ganymede's Approach

Instrument Reliability and Monitoring: Ganymede's Approach

How often are your analytical instruments used? How often have you wished that you could figure out the sequence of errors that cause your automation runs to fail? How does freezer sample storage temperature affect your assays? All these questions come down to data. You’ve scaled to dozens or

Three Signs It’s Time to Take a Data-Driven Approach to Lab Asset Management

Three Signs It’s Time to Take a Data-Driven Approach to Lab Asset Management

Instruments such as mass spectrometers and flow cytometers form the backbone of every scientific lab. However, despite how important these assets are to every experiment and discovery, scientific instruments also pose challenges. They stop working for mysterious reasons, are slow to operate, and are often opaque. Labs don’t really

Three Key Metrics to Improve Your Lab Asset Utilization and Lab Automation

Three Key Metrics to Improve Your Lab Asset Utilization and Lab Automation

One of the most common points of failure in lab data automation is deceptively simple: things stop working, and labs don’t know why. While one or two failures may be fixable by hand, once a lab has scaled up to dozens of workcells or hundreds of analytical instruments, that

Structured file storage is integral to data integrity and traceability

Structure and Flexibility: Two Strategies to Take Control of Your Scientific Data Management

ELN. LIMS. QMS. When it comes to lab data, there are a lot of three to four-letter acronyms. For many people, an ELN, shorthand for an electronic lab notebook, is arguably the most important. In fact, at Ganymede, many of the biotech companies we talk with view their ELN as