Next-Generation Petabyte Scale Backup and Archive Platform

We engineered the core functionality for Cloud Copy On Write, a forward-thinking technology currently pending patent approval, designed to ensure safe and efficient data management.

 CCOW employs an innovative approach where new data is written to new storage locations rather than overwriting existing data, with updates made to the metadata pointers subsequently. This method minimizes the risk of data corruption and enables quicker, more reliable data recovery processes. 

Implementing CCOW was required for building a solution capable of efficiently handling and scaling to petabyte-sized data volumes for clients managing large-scale data operations.

A significant challenge was developing a system that could efficiently manage petabyte-scale data volumes without performance degradation. To overcome this, we optimized our data handling algorithms for high efficiency and implemented a distributed architecture. This architecture distributes the data across multiple server nodes, balancing the load and enhancing data retrieval and backup speeds by leveraging parallel processing techniques.

To provide reliability, we developed an extensive suite of automated tests covering a range of functionalities from basic data operations to complex disaster recovery scenarios. Automating these tests enabled consistent evaluation of the system under diverse conditions. We integrated these tests with Jenkins Continuous Integration (CI) to automate their execution at various stages of the development lifecycle. This strategy improved development productivity and enhanced the quality of the code by allowing early detection and resolution of issues. The Jenkins CI pipeline was configured to provide real-time feedback on the health of the codebase, enabling quick adjustments.

During the project, our team worked on the integration across various platforms, including OpenStack, Linux, VMware, and Windows, to guarantee functionality in diverse IT environments. This integration involved developing custom adapters and APIs for compatibility and optimized performance across these different operating systems and platforms. 

We also fortified our solution with advanced encryption standards and comprehensive access controls in response to increasing data security concerns and stringent compliance mandates. For encryption, we utilized AES-256 across all data at rest, and for data in transit, we employed TLS 1.2 protocols with mutual authentication to provide secure data exchanges.