Learning Ceph -
3 authors - Paperback
£39.99
Anthony D'Atri's career in system administration has spanned laptops to vector supercomputers. He has brought his passion for fleet management and the underlying server components to bear on a holistic yet, detailed approach to deployment and operations. Experience with architecture, operation, and troubleshooting of NetApp, ZFS, SVM, and other storage systems dovetailed neatly into Ceph. Three years with Ceph as a petabyte-scale object and block backend to multiple OpenStack clouds at Cisco, additionally built on Anthony's depth. Now helping deliver awesome storage to DigitalOcean's droplet customers, Anthony aims to help the growing community build success with Ceph.. Anthony would like to thank everyone whose technical and professional support have contributed to his success with Ceph, including Cisco, Digital Ocean, Michael Kidd, Tupper Cole, James Donohoe, Louis Watta, Jade Lester, Narendra Trivedi, Weiguo Sun, Richard "Fuzzy" Miller, Damon Hsu-Hung, Satish Sangapu, Shweta Saraf, Swati Gaikwad, Yi Chen, Ryan Roemmich, Sebastian Sobolewski, Stan Ayzenberg, Sebastien Han, Adam Wolfe Gordon, Vaibhav Bhembre, William Lehman, and Dan van der Ster. Paramount thanks to his wife Suzanne for her support, patience, and support of his long hours. Vaibhav Bhembre is a systems programmer working currently as a Technical Lead for cloud storage products at DigitalOcean. Before joining DigitalOcean, Vaibhav wore multiple hats leading backend engineering and reliability engineering teams at Sailthru Inc. From helping scale dynamically generated campaign sends to be delivered to over tens of millions of users on time, to architecting a cloud-scale compute and storage platform, Vaibhav has years of experience writing software across all layers of the stack. Vaibhav holds a bachelor's degree in Computer Engineering from the University of Mumbai and a master's degree in Computer Science from the State University of New York in Buffalo. During his time in academia, Vaibhav co-published a novel graph algorithm that optimally computed closeness and betweeness in an incrementally updating social network. He also had the fortune of committing changes to a highly available distributed file-system built on top of iRODs data management framework as his master's project. This system, that was actively used across 10+ educational institutions live, was his foray into large-scale distributed storage and his transition into using Ceph professionally was only natural. Vaibhav is forever indebted to his parents Dileep and Vandana Bhembre for devoting incalculable amount of time and effort into making him who he is today. He cannot thank his beautiful wife, Harshita, enough for her constant support, encouragement and most of all, her incredible heart. Vaibhav wholeheartedly thanks all the individuals who have contributed directly or indirectly to his successful career, the list which includes but is not limited to, Prof. Rakesh Nagi, Prof. Murat Demirbas, Sushant Khopkar, Ian White, Moisey Uretsky, Joonas Bergius, and Anthony D'Atri. And finally, Vaibhav is deeply grateful to the Ceph community for designing and building a remarkable piece of software and forming a diverse and open community around it. Karan Singh is a senior storage architect working with Red Hat and living with his charming wife Monika in Finland. In his current role, Karan is doing solution engineering on Ceph together with partners, customers and exploring new avenues for software defined storage. Karan devotes a part of his time in learning emerging technologies and enjoys the challenges that comes with it.. He also authored the first edition of Learning Ceph and Ceph Cookbook, Packt Publishing. You can reach him on Twitter @karansingh010. I'd like to thank my wife, Monika for being the perfect better half. I'd also like to thank my employer Red Hat for giving me an opportunity to work on some cutting-edge technologies and use cases. Finally, special thanks to Vikhyat and Michael for putting great efforts to help in the continued success of Learning Ceph