Data-driven has never meant more to business than it does today. But achieving it has never been more complicated.
By Suraj Kotipalli
Photo by Joshua Sortino on Unsplash
APAC Business Leader, Content & Data Intelligence Solutions, Hitachi Vantara
Modern organisations rely on data-driven engineering to uncover insights and correlations that accelerate innovation and enhance customer and employee loyalty. They rely on a scalable relational database, automation of database services, and a powerful rock-solid IT foundation, either on premises or in hybrid multi-cloud. In these environments, applications and data are more readily available and accessible from modern, high performance and protected digital cores that span data centre, edge and cloud.
However, getting there is not as easy as it sounds. The systems and interconnected cloud platforms that process, analyse and share the data grow more complex. So complex, that data access and availability can be stalled if not blocked outright from ever making it into the digital experience. Compounding these challenges is the global skills shortage which can restrain companies from adopting new approaches to things like software and cloud development, data science and AI – approaches that can help them advance and innovate.
Another key challenge is tackling with ever-increasing data in the distributed platforms. In many cases, you might have faced an unpleasant choice: Choose a siloed solution, knowing full-well that you are missing the mark on delivering the flexibility your business needs. Or build your own open-source system, cobbling together a distributed environment from a couple of old servers.
The problem in both cases is that these distributed platforms effectively run outside your core IT solutions. Both options layer on complexity without supporting a seamless data plane from your data centre to the cloud. As a result, distributed applications are becoming their own silos with no ability to move data among themselves, the storage environment, or the cloud.
Unravelling the complexities
What’s needed to begin unravelling the complexities of the fast-growing distributed hybrid multi-cloud world, is a consistent, automated, and modern approach to the enterprise that spans across the entire environment; what’s needed are simplified and automated operations that seamlessly bridge from DevOps teams and processes to IT operations.
This is critical because for the vast majority of businesses, IT has evolved from playing a supporting role, to one of enablement, to where it is today – at the heart of the business. In this new world, the shift to simplification of operations is mandatory, from DevOps with modern, cloud management services, to IT operations, where touchless automation is built in.
Automated Management Services
From the services perspective, I’ve found that most organisations embarking on the digital transformation, look for assistance determining when and where to engage cloud in the first place. Modernization services can help by determining which applications to retire, rehost and reengineer. Extending deeper, cloud operation services can offload the deployment and management of applications from the business, freeing it up to conduct their core business, all while measuring against key performance indicators.
Eventually, the more intelligence and automation that can be built into the system, the better. Enterprises are in need of automation that will enable their data storage systems to be automatically updated whether they’re in a cloud environment or on-premises, adopting tools that will help to automate 90% of all the manual tasks associated with the system.
Enterprises need to develop systems from a cloud-centric point of view that not only support cloud-based operations but are optimized to run within them, regardless of where the underlying infrastructure is found.
There is, of course, a lot of infrastructure behind the cloud. All organisations are required to have a single, end-to-end storage architecture that affords the flexibility to reconfigure your storage to address new requirements. Scale up storage capacity and performance simply by adding commodity servers.
A Strong Digital Core for the Data-Driven
Whether migrating and managing applications in the cloud or bringing cloud operating models to their private data centres, organisations are seeing the value in the holistic approach to the data-driven enterprise.
A strong, agile digital core combined with easily automated cloud management services is the way through the complexity of today’s distributed hybrid multi-cloud world. When this is achieved, resource constraints can be loosened and data and insights can flow freely. These are the environments in which data-driven digital experiences can flourish, and profound economic, environmental, and social progress can be realized.
Digital transformations can be daunting, but the results are lasting. With the ever-complicated enterprise, improving availability, accessibility, scalability, management, and security to data is paramount to success. It is imperative for enterprises to modernize their digital core by bringing advanced computing power and data storage to the data wherever it resides – in the data centre, the public cloud, at the edge, or all of the above.