For business, the promise of private cloud storage has something enticing: an efficient service with controlled costs. But when they combine data security requirements, regulatory compliance, and user expectations, this promise can turn into a mirage. It should be recognized that the gradual deployment of multiple applications in the cloud allows IT teams to develop their experience at a convenient pace for them. But introducing the cloud into a company’s DNA (for all business processes and data flows) is part of a global and sustainable strategy.
The company’s cloud strategy reflects the level of control and responsibility that it wants to maintain. When he turns to the provider of personal cloud (software as a service), this ensures the performance of the entire cloud computing device: infrastructure, middleware and applications.
Provider’s PaaS (platform as a service) guarantees only middleware and infrastructures, while IaaS (infrastructure as a service) applies only to infrastructures. For a company that is considering moving its IS to the cloud, these responsibilities are not necessarily the same depending on the business application. For example, a standard collaboration application can run in SaaS mode, while an in-house industrial application is more critical and more likely to run in PaaS or IaaS mode.
The company must also consider other criteria for private cloud storage: financial: what is the total cost? For each application that can switch to the cloud, analyze the components of its costs (licenses, evolutionary and corrective maintenance, data storage, human resources for control, network access channels, security devices, interface maintenance, etc.).
If this application went to the cloud, what would be the vendor billing method? Billing-based favorites. n Functional: what functionalities of applications and what levels of service are necessary for your activity? Analysis of current and expected traffic volumes and quality of service requirements (availability, response time, SLA). Can you differentiate SLA according to operational criticality of use? Are some old features still useful? Regulatory acts: how to protect the data of customers and employees? What measures are necessary to protect intellectual property? Which data categories are regulated in each country? What affects contracts with cloud providers? The best way to optimize all of these criteria is to frequently use application groups and adopt a multi-cloud strategy that combines the choice of IaaS, PaaS, or SaaS services from multiple providers and is based on public, private, or hybrid architectures. These configurations give IT teams the position of “cloud service brokers” for the company’s business, allowing developers and users to be satisfied and deploy new features on demand.
Faced with the uncertainty of the cloud market (the stability of the strategies of certain players, compliance with changes in the regulatory framework or corporate security policies, the level of business autonomy with respect to certain players, etc.). Many companies want to maintain freedom of choice by selecting multiple players. This decision can be supported by the need to return services that would be subscribed to IT bungee cords: by reintegrating such services from players from the public cloud, the IT department can return to the game center as a privileged bidder. A multi-cloud is often the best solution for IT groups and users, and its advantages: Several options are possible: distributing applications across several cloud solutions from several providers, you more accurately respond to the functional needs of users and the needs of sovereignty and data security, without reference to to one supplier.
Cost optimization: by migrating your IT infrastructure to virtualized servers of various cloud solutions and generalizing payments based on use, costs are optimized. Sustainability: Using multiple cloud providers reduces the risk of individual points of failure.
Flexibility: A multi-cloud is often flexible enough to support your new digital initiatives, such as Big Data Analysis, Connected Object Platforms (IoT), chatbots and artificial intelligence, all of which will have their own requirements. In addition, during mergers / acquisitions, multi-block mode is required for ISD teams.