Data Layer Management – Six Reasons For Outsourcing

Reliable operating environments are essential for processing large amounts of data on the data layer. The managed service provider, and open source specialist Instaclustr names six reasons that speak in favour of outsourcing.

Companies are often faced with whether they prefer to carry out data layer management in-house or outsource it. Heavily regulated industries such as financial service providers or healthcare often rely on on-premises solutions because they have to or want to host and manage all data internally. Managed platform models are a good solution because they can be used on-premises, in hybrid or multi-cloud environments, and the cloud. High security is guaranteed because control of the data layer always remains with the company and not the service provider.

Outsourcing Has Advantages

According to Instaclustr, however, the complete outsourcing of data layer management is often the best option for many companies. It offers several advantages, from simple administration, deployment, and configuration of clusters to expert support. Specifically, Instaclustr names the following benefits of data layer outsourcing:

High Reliability

Managed platform providers can almost always offer a higher level of reliability than is possible in-house. By combining management systems with integrated technology, mature processes, and deep human expertise, managed services can meet strict service level agreements (SLAs) for availability and latency.

Ease Of Use

A managed platform provides customers with a toolset for simplified management of the data layer clusters. You can easily set up and disable collections or change node types and sizes without having to change any code.

Low Costs

The management of data layer technologies requires human resources and expert know-how – combined with related personnel costs. Outsourcing can bring cost advantages to companies here. Above all, it must also be taken into account that an external provider automatically enters new patches or functional extensions into an environment, which significantly reduces the running costs for the administration of the data layer solutions.

Better Use Of Internal Resources

If a company doesn’t need to manage the data tier, it can use those resources for other projects. Outsourcing gives individual employees more time to concentrate on higher-value tasks and innovations in their core business areas.

Continuous Access To Expert Knowledge

With internal management, there is always the possibility that employees and experts will leave the company. This risk of a sudden lack of personnel in an important area does not exist when data layer management is outsourced.

High Scalability

Outsourcing data layer management offers several scalability benefits. First of all, they are concerned about the provision. When a company initiates a new project, a simple cluster can be up and running in minutes. Outsourcing also facilitates the dynamic scaling of the infrastructure depending on the amount of data. With proven processes, highly automated, or even self-service tools, a managed service can be much more easily scaled up as demand increases or decreases.

Consider Long-Term Needs

“Factors such as budget constraints, administrative effort, flexible customization options or the need for expertise play an important role in every IT decision,.” This also applies to the selection and management of data layer technologies. Companies must consider the requirements of the current architecture and the long-term architecture needs concerning industry trends.

“In order to achieve maximum flexibility at minimum costs, companies are increasingly relying on outsourcing, specifically on managed platforms that offer high flexibility, scalability and security. If companies do not want to go down the path of complete outsourcing, they can also use managed platforms on-premises and thus benefit from the same advantages,”.

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