Keith Keller is a seasoned System Administrator at Berkeley Lab, bringing over two decades of experience in Linux system administration and four years as a DevOps engineer. His current role primarily focuses on the Arkin Lab, where he plays a pivotal part in managing and...
Keith Keller is a seasoned System Administrator at Berkeley Lab, bringing over two decades of experience in Linux system administration and four years as a DevOps engineer. His current role primarily focuses on the Arkin Lab, where he plays a pivotal part in managing and optimizing the lab's extensive Linux server infrastructure. With a hands-on approach, Keith oversees the day-to-day operations of approximately a dozen servers distributed across two campus locations. His expertise in maintaining critical network services is evident through his management of a robust 100TB NFS file server, which is essential for the lab's data-intensive genomics projects.
In addition to server management, Keith is instrumental in implementing automated backup solutions using rsnapshot, ensuring data integrity and availability for ongoing research. His proficiency in monitoring systems with tools like check_mk allows him to proactively address potential issues, thereby minimizing downtime and enhancing operational efficiency. Keith's technical toolkit includes a diverse array of skills such as Docker for containerization, Python and Bash for scripting and automation, and MongoDB for database management, all of which contribute to his ability to streamline workflows and improve system performance.
Keith's commitment to open-source solutions and collaborative development is reflected in his active GitHub profile, where he shares projects and engages with the broader tech community. His role at Berkeley Lab not only highlights his technical acumen but also underscores his dedication to advancing scientific research through effective system administration and innovative DevOps practices. As he continues to evolve in his career, Keith remains focused on leveraging technology to support cutting-edge genomics research and foster a culture of continuous improvement within the lab.
