But what exactly is “seriousness of the data”? This term, invented in 2010 by Dave MCCRORY, is based on a physical analogy: just as massive objects attract other objects by their severity, the data, growing up, attract to them applications, services and additional flows. In the context of the infonuagic, it means that the more a company stores data in an environment cloudthe more it has an interest in also centralizing its services there. If it seems effective on paper, does this approach not risk quickly locking up the company in a model of dependence on a single supplier?
Severity of strategic data and traps
This dependence, or “Vendor Lock-in”, often makes it difficult, even risky, any desire for change, because the transfer of bulky data represents a considerable technical, logistical and financial issue. Under these conditions, some companies hesitate to take precedence towards more modern infonual solutions, thus slowing down their digital transformation.
In parallel, the dispersion of data on several environments can cause slowdowns, increased latency, even defaults of applications that require real -time treatments. To avoid this, many organizations opt for centralized storage, often in a single cloud supplier. A temporarily effective solution, but which ultimately reduces their room for maneuver and exposes them to the dependence mentioned just before.
How to reduce the effect of data severity
To avoid the negative effects of this centralization, several technological approaches exist. Data life cycle management, Edge Computing and Strategies multi-cloud Or hybrids allow the loads to be better distributed, limit dependence and maintain a high level of performance.
Data life cycle management clearly defines which data should be kept, moved or archives. It thus helps to counterbalance the negative effects of the severity of the data. It not only reduces transfer costs, but also avoids accumulating obsolete, even unnecessary data in critical systems.
L’edge computingby processing data near their source, reduces latency and volumes of data transferred to the central cloud. This improves performance, decreases pressure on central infrastructure and promotes more local and agile management of data.
Finally, the approach multi-cloud or hybrid, which consists in distributing workloads on several suppliers or environments, public and private, limits the risks linked to a single supplier. This decentralization strengthens data redundancy, while ensuring continuity of access in the event of a breakdown or an incident. It also offers better negotiation power on prices and services.
Think long -term
The increase in data volumes is inevitable. The negative effects of the severity of the data will therefore only intensify. This is why it becomes urgent to integrate suitable solutions such as intelligent data management assisted by AI alongside technologies such as decentralized storage.
In a rapidly changing technological environment, adaptability is the key. Canadian companies must invest today in resilient and flexible data management strategies, in order to prevent their data from becoming a weight, rather than a growth lever.
Author’s biography
Michelson Chery is an architect of solutions with almost ten years of experience in traditional, hybrid and cloud infrastructure. His career at Leaseweb Canada reflects his professional development well: entered as a data center operator, he has progressed regularly and now occupies the door of architect of solutions. Michelson played a key role in the design and deployment of complex environments for major customers, always taking care to reconcile performance, reliability and business needs.
