Enhancing AWS Infrastructure: A Guide to Multi-Account Architecture and Security Best Practices

Enhancing AWS infrastructure: In the rapidly evolving world of cloud computing, companies like QPAIR recognize the need to optimize their AWS infrastructure for improved security, scalability, and operational efficiency. This blog post delves into the benefits of adopting a multi-account architecture and highlights key best practices for leveraging AWS Organizations features. Additionally, we explore the importance of authentication restructuring and security enhancements to bolster your company’s overall security posture.   Let’s dive into the key

QPAIR and Life Sciences – A Perfect Match

QPAIR & Life Sciences – A perfect Match Operate Smarter to Innovate Faster “Often, enterprises procure the services of leading cloud service providers. However, their stability woes don’t seem to end. QPAIR has been a trusted partner of many life science organizations, helping them in building operational quality stability and cost-effectively,” says Raghunath Anisingaraju, Co-Founder and CEO of QPAIR. “Organizations should embrace DevOps Culture!” If that phrase fills you with an unnamed dread, you aren’t

Compliance is Crucial to the Life Science Industry

Compliance is Crucial to the Life Science Industry QPAIR understands governance can be a huge challenge for Life Sciences teams building cloud native applications. The governance challenges can be in the areas of cloud, data, compliance and quality. Lack of a proper governance strategy can adversely affect the cloud infrastructure increasing not only the risks but also the operational costs (people and infrastructure) overhead by multifold even at the cost of your business product or

Maximize your research using DataOps

Life-science laboratories make increasing use of Next Generation Sequencing (NGS) for studying bio-macromolecules and their interactions. This has to be done to meet the demands of NGS experiments and clinical tests. It provides embedded pipelines for the analysis of ChIP-Seq, RNA-Seq, miRNA-Seq and Exome-Seq experiments etc. Next-generation sequencing has become a cornerstone of modern life-science laboratories and is generally carried out by specialized facilities.  If you are using  LIMS  implemented system and use AWS for

Automating the Shotgun Sequencing Data Pipeline in AWS

Streamlining Data Processing for Life Science Startups: A Journey towards Efficiency  In the fast-paced world of life sciences, startups often face significant challenges in efficiently processing and analyzing large volumes of sequencing data. Manual validation processes, limited visibility, and inefficient data filtering methods can hinder research progress. In this blog post, we will delve into a case study where we collaborated with a generic life science startup to streamline their data processing workflow, enabling them