In this episode we discuss the shift from traditional High-Performance Computing (HPC) systems to cloud computing in bioinformatics. Key points of the conversation include:

Transition to Cloud Computing: The discussion begins with the gradual adoption of cloud computing over the past 5-6 years in bioinformatics, highlighting that for many scientists, moving from an HPC infrastructure to the cloud represents a significant change.

Experiences with HPC and Cloud Transition: Andrew shares his experience transitioning from a traditional HPC setup to a cloud system, describing the process and the initial challenges faced, such as adapting to different software and operational methods.

Benefits of Cloud Over Traditional HPC: The hosts discuss the advantages of cloud computing, such as overcommitting CPUs for better resource utilization and the flexibility it offers compared to physical hardware limitations of HPC.

Challenges in Adopting Cloud Technology: They address the initial resistance from IT departments in adopting cloud services, discussing how the transition affects IT operations and the control research groups have over resources.

Cost Management and Efficiency in the Cloud: Kevin and Andrew discuss the need for careful management of cloud resources to avoid unexpected costs, such as runaway jobs or excessive logging fees. They emphasize the importance of monitoring and optimizing cloud usage to balance efficiency and cost.

Choosing a Cloud Provider: The conversation shifts to the topic of selecting a cloud provider, with a discussion on the similarities and differences between major providers like AWS, GCP, and Azure. They note that while these platforms offer comparable services, specific features and pricing models might vary.

Advice for Early Career Bioinformaticians: The hosts conclude by advising those new to bioinformatics to familiarize themselves with cloud computing, noting its growing importance across various fields, not just in bioinformatics.

The episode provides a comprehensive overview of the transition from traditional HPC to cloud computing in the bioinformatics field, along with practical advice and insights into managing and optimizing cloud resources.