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From Lab Bench to High-Throughput: How SRE Principles Revolutionized Biologics Automation ๐Ÿš€๐Ÿ”ฌ

Good morning, everyone! Amogha Tenneti here, and I’m thrilled to share a fascinating journey with you. We often associate Site Reliability Engineering (SRE) with the world of software, protecting our digital systems from outages and ensuring seamless user experiences. But what if I told you that the very same SRE principles can unlock incredible reliability, compliance, and scalability in a highly regulated, hands-on environment like a biological process development lab?

That’s precisely the story we’re diving into today: how we applied SRE-inspired thinking to automate a critical analytical workflow within a regulated biological process development environment. This wasn’t just an instrument upgrade; it was a structured reliability improvement that transformed our operations.

The Bottleneck: When Manual Workflows Hit Their Limit ๐Ÿšง

Our challenge began with the incredible power of the Amber 250 platform. This high-throughput microbioreactor system allows us to run parallel 250 ml vessels for rapid process screening in upstream biologics development. Think of it: high sample volume and high data density!

However, our analytical workflows were still stuck in the past โ€“ largely manual. This created significant roadblocks:

  1. Reliability Risk: Operator-dependent sampling introduced variability, a constant worry for data integrity.
  2. Operational Overhead: The manual steps consumed immense labor, severely limiting our throughput.
  3. Compliance Burden: Increased manual intervention meant higher exposure to audit risks and data integrity concerns.

From an SRE perspective, our system suffered from high toil and a large error surface area. We needed a change.

The Power Duo: Amber 250 & NovaFlex 2 ๐Ÿ’ก๐Ÿงช

Our solution lay in integrating the Amber 250 platform with a powerful analytical engine: the NovaFlex 2 analyzer.

  • Amber 250: The workhorse for upstream biologics, generating a large number of small samples.
  • NovaFlex 2: A multi-parameter analyzer capable of measuring metabolites, blood gases, electrolytes, osmolarity, and cell health metrics from a single, small sample.

Why these two together? The Amber 250’s high sample volume, when coupled with manual analytics, meant each sample required separate processing across multiple instruments. The NovaFlex 2, on the other hand, consolidates all critical parameters into a single, automated run. It perfectly aligns with Amber 250 sample volumes and, crucially for our regulated environment, supports structured, audit-ready data output compatible with GXP requirements. This integration eliminated our throughput mismatch and significantly reduced system complexity.

Our SRE-Inspired Journey to Automation ๐Ÿ—บ๏ธ๐Ÿ‘จโ€๐Ÿ’ป

Our integration project, spanning from December 2022 to August 2024, followed a rigorous, structured, phase-gated model, mirroring controlled production migrations used in software reliability engineering.

Our journey involved five key areas:

  1. Operational Problem Analysis: Identifying the pain points of our manual workflow.
  2. Platform Overview: Deep dives into Amber 250 and NovaFlex 2 capabilities.
  3. Structured Implementation: From initial evaluation to full validation.
  4. Equivalency Studies: De-risking the transition with robust comparisons.
  5. Operational Impact & Multi-Site Scale-Out: Realizing the benefits and expanding our reach.

Every improvement in a regulated environment must maintain compliance, audit readiness, and data integrity. This constraint shaped our entire approach.

De-risking the Transition: The Power of Equivalency Studies โœ…๐Ÿ“Š

To ensure a smooth and compliant transition, we conducted four structured comparability experiments before decommissioning our existing analyzers. This was a critical SRE-inspired approach to transition risk.

  • Methodology: Each Amber-derived sample was tested simultaneously on both the NovaFlex 2 and the existing standard analyzers.
  • Parameters Evaluated: We covered a comprehensive range, including pH, pCO2, glucose, lactate, glutamine, glutamate, ammonium, osmolarity, viable cell density, and cell viability. Where previously multiple instruments were needed, the NovaFlex 2 consolidated all these into one!
  • Acceptance Criteria: These were predetermined according to internal validation and regulatory standards, ensuring objective evaluation.

The outcome? All four equivalency studies met their acceptance criteria. The NovaFlex 2 demonstrated analytical comparability across all critical parameters, providing the documented evidence required for a compliant and validated transition.

The Impact: A New Era of Efficiency & Reliability โœจ๐Ÿš€

The transformation in our workflow was dramatic.

  • Before Integration: Sampling required multiple instruments and manual steps, leading to significant human intervention and handling errors.
  • After Integration: A single NovaFlex 2 run now delivers a full analytical panel per Amber 250 sampling event. We can schedule sampling much more precisely, eliminating the need for manual intervention at odd hours.

This change reduced touch points, minimized handling errors, and produced structured analytical outputs perfect for reviewing and trending.

Our operational impact metrics speak for themselves:

  • We achieved a 40% reduction in manual labor per Amber run.
  • The four rigorous equivalency studies covered all parameter groups, receiving full approval from our upstream development department.
  • We trained 12 super users across two independent sites in Pennsylvania, enabling both locations to operate with improved efficiency, resilience, and scalability.

Scaling Success with Super Users & SRE Principles ๐ŸŒ๐Ÿค–

Our commitment to reliability extended to qualification and validation. All instruments underwent independent qualification, with Installation Qualification (IQ) verifying proper setup, Operational Qualification (OQ) confirming performance within defined ranges, and Performance Qualification (PQ) demonstrating consistent routine performance. Automation was implemented only after these documented validations.

To ensure long-term sustainability and prevent knowledge silos, we implemented a structured super user model:

  • Eight super users were trained for the primary site’s Amber 250 operations and routine Flex 2 use.
  • Four additional super users were trained at the other Pennsylvania location.

This distributed ownership means both locations can independently troubleshoot without relying on a single person or team, effectively eliminating any single point of failure risk.

The SRE principles we applied to our biologics analytical workflow were clear:

  • Eliminated Toil: By dramatically reducing manual tasks.
  • Protected Reliability: Through controlled change management and rigorous validation.
  • Improved Observability: With structured, audit-ready data output.
  • Distributed Ownership: Ensuring sustained expertise and operational resilience across sites.

This project was truly more than just an instrument upgrade. By combining scientific rigor with time-tested SRE principles, we forged a scalable, compliant, and resilient analytical workflow in a regulated biological environment. It’s a powerful testament to how SRE thinking can transcend software and build reliability anywhere.

Thank you! I’m open for any feedback or discussion.

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