This article compares cloud and on‑premises storage, outlines their advantages and disadvantages, and introduces cloud‑near storage as a hybrid solution that balances control, cost, scalability, and security for modern data platforms.
This article compares the advantages and disadvantages of cloud storage, on‑premises storage, and the hybrid cloud‑near storage model, explaining how each impacts scalability, cost, control, security, and integration for modern data platforms, and helps organizations select the most suitable solution.
This article explains how Alluxio, an open‑source data orchestration system, improves data access efficiency in hybrid multi‑cloud and multi‑storage environments by providing caching, a unified namespace, interface translation, automated data management, and federation capabilities for modern big‑data workloads.
This article explains how CNStack’s cloud‑native virtualization service combines KubeVirt, containerized storage, and hybrid networking to manage VMs alongside containers, detailing its architecture, features, VM image pipeline, and future roadmap for unified cloud‑native operations.
This article presents a comprehensive overview of TDSQL‑PG's HTAP capabilities, detailing the evolution of its storage, compute, transaction management, hybrid row‑column storage, cost‑based optimizer, vectorized execution, and resource isolation strategies for handling mixed OLTP and OLAP workloads.
This article explains how Aerospike, a high‑performance NoSQL database, achieves millisecond‑level query latency on terabyte‑scale datasets by using a hybrid storage architecture, multi‑level storage tiers, flash optimizations, and a flexible ecosystem that supports diverse real‑time use cases.
The article introduces the pain points of using Redis at Tencent IEG, explains the three Tendis product editions, and provides an in‑depth description of the hybrid storage version’s architecture, components, version control, cold‑hot data interaction, scaling mechanisms, and the stateless Redis‑sync layer.
This article introduces the pain points of using Redis as a cache, presents Tencent's Tendis solution with its three product variants, and provides an in‑depth explanation of the hybrid storage version’s overall architecture, component functions, version control, cold‑hot data interaction, eviction policies, and scaling mechanisms.
The article outlines common cache challenges—consistency, breakdown, and avalanche—explains traditional three‑tier architectures, then details Tencent Cloud Redis Hybrid Storage’s unified interface, automatic hot‑data caching, dynamic TTL, atomic updates, and cost‑effective persistence, offering a scalable, reliable cache‑plus‑storage solution.
