DevOps for Life Sciences

Build better, deploy faster.

How does DevOps support automation in life sciences?

DevOps for life sciences helps biotech and research teams automate software delivery, infrastructure changes, and cloud operations with greater speed, consistency, and control. PTP helps organizations improve CI/CD workflows, infrastructure as code, cloud DevOps automation, and managed DevOps services so they can support scientific applications, regulated environments, and growing operational demands more efficiently.

Need more detail? Read the DevOps FAQ fact sheet.

Deployment downtime reduction

0%

Automated AWS Image Builder with Device42 integration to standardize environments and reduce maintenance windows.

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SysAdmin time reduction

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Serverless automation with AWS Lambda cut manual work in half and reduced operational costs through event-driven workflows.

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LIMS deployment cycle time reduction

0%

Automated AWS pipelines accelerated LIMS implementation with reusable IaC templates and built-in compliance checks.

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Transform Your Cloud Operations with DevOps

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Infrastructure as Code

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CI/CD Pipelines

📦

Service Catalog & Terraform

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Lambda Scripting

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Extend DevOps with the Full Power of PeakPlus™

With PeakPlus™, you unlock a fully managed IT operations suite tailored for life sciences. It brings together cloud, network, security, compliance, and user support into one integrated service built to scale with your research, accelerate innovation, and meet regulatory demands without compromise.

Learn More About PeakPlus™ →

DevOps News

Illustration of PTP DevOps Team working on various tasks at their computers.

Automation in Life Sciences: DevOps FAQs

Feature image illustrating automation and uptime optimization, depicting a goat symbolizing innovation and data flow between servers and the cloud

How PTP Helped Device42 Cut Downtime by 93% with AWS Lambda Automation

Feature image for "The Impact of AWS Lambda's End of Support for Older Python and Node.js Runtimes," showing a modern data center with blue lighting.

The Impact of AWS Lambda’s End of Support for Older Python and Node.js Runtimes: Why Migrating is Critical for Your Cloud Strategy

Mastering AI Architecture for Life Sciences: Balancing Top-Down and Bottom-Up Strategies

Case Study – Terraform on AWS for Automating Workflows

Scott Scheirey, Scientific Partner Advisor at PTP, discussing bioinformatics workflows and pipeline optimization, wearing a black PTP jacket and speaking from a home office setup with light blue walls and decorative wall art.

Bioinformatics Pipeline Automation and Optimization via AWS and PTP

Infrastructure as Code on AWS For Accelerating Science

Illustration of scientists working with various lab equipment, all connected to Benchling in the cloud.

Optimizing Scientific Workloads with Benchling

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When to Use AirFlow vs NextFlow for Pipelines

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Leveraging AWS and DevOps to Improve Security Tools and Customer Outcomes

Schedule a Free DevOps Assessment

Get a free DevOps assessment tailored to your life sciences organization. Identify risks, uncover opportunities, and build a roadmap for secure, compliant, and scalable cloud operations. Fill out the form to contact us today!