A typical business runs hundreds of applications, with the average enterprise having as much as 464 custom applications.1 It would be great if all your applications used the same type of workload – such as online analytics processing (OLAP) and online transaction processing (OLTP) – or at least the same vendor, but this is simply not the reality. While most organizations will say primarily run SQL Server, Oracle or SAP, there is always at least one other database supporting at least one application. Supporting multiple databases and workloads traditionally requires more infrastructure, leading to additional costs and less space in the data center. This problem is only compounded by data growth.

Data-intensive workloads — such as Internet of Things (IoT), big data analytics, artificial intelligence (AI) and machine learning (ML) — require more and more resources. Database growth, both in number and size, leads to:

  • Increase in database and server sprawl
  • Larger workload footprints
  • Greater cost and complexity running workloads on siloed IT 
  • Longer maintenance and upgrade cycles 
  • Inefficient copy data management

How can you address the challenges brought on by multiple workloads, databases and rapid data growth?

Data center consolidation has long been seen the answer to many challenges when it comes to dealing with application and storage silos. However, organizations often stop short of consolidating mixed workloads or even databases for fear of impacting performance, throughput and protection. For many organizations, the perceived risks and complexities in consolidating databases overshadows the expected benefits.

It is for this very reason consolidation strategies must take into consideration ensuring the availability and performance of business-critical applications while maintaining low latency with fewer resources. The introduction of faster more powerful CPUs and new storage technology has made it possible for businesses to consolidate databases without the traditional associated risks.

Consolidation and IT modernization
Consolidation has many benefits the greatest of which is the ability of the business to increase infrastructure utilization without sacrificing performance while having the elasticity and agility to respond to new requests. Perhaps the greatest challenge to designing and delivering a consolidation solution is the uncertainty of how all the components will integrate and deliver on the investment.

A reference architecture which has been designed, integrated and tested to run mixed workloads and databases on the same validated infrastructure must ensure the underlying infrastructure components meet the unique demands of each workload and database.

Modular server architectures
When it comes to consolidation, modular server infrastructures enable IT organizations to quickly add more storage, compute, or networking — depending on workloads and business needs. Designed to flexibly support both traditional and emerging workloads, such as IoT, artificial intelligence and machine learning, while simplifying and consolidating IT management, users can easily grow their workloads as needed.

This becomes especially important when consolidating multiple databases and workloads onto a single infrastructure. Modular servers enable you to dedicate servers to each database, separating the workloads from a compute perspective, which in turn optimizes licensing, lowers costs, simplifies management and enhances scalability and efficiency.

Consolidate mixed databases and workloads on the same Dell Technologies infrastructure
Dell EMC solutions are designed to assure performance, reliability, flexibility and manageability for high value workload environments and machine learning services. They are built using a scalable and resilient IT foundation that leverages the dynamic capabilities of today’s database management systems and beyond.

To read full download the whitepaper:
Consolidate and Simplify Mixed Database Workloads with Dell EMC