Microservices-Based Storage Architectures for Scalable Data Platforms
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V3I2P103Keywords:
Microservices, Storage architectures, Scalability, Data platforms, Distributed systems, Cloud-native, Data management, Horizontal scaling, Fault tolerance, Service isolationAbstract
In the era of big data and cloud computing, the ability to efficiently manage and scale storage systems is crucial for modern data platforms. Traditional monolithic storage architectures often struggle to meet the demands of high throughput, low latency, and horizontal scalability. Microservices-based storage architectures offer a promising solution by breaking down storage systems into smaller, independent services that can be scaled and managed independently. This paper explores the design, implementation, and performance evaluation of microservices-based storage architectures, highlighting their advantages and challenges. We present a detailed analysis of various microservices patterns, their integration with distributed storage systems, and the impact on overall system performance. Additionally, we propose a novel algorithm for optimizing data placement and replication in microservices-based storage systems. The paper concludes with a discussion on future research directions and practical recommendations for implementing microservices-based storage architectures in real-world applications
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