Empowering Digital Transformation with Hybrid Cloud Data Management

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Managing Data Growth and Preventing Cloud Data Silos

Analysis

Object storage is becoming more popular than ever, with organizations of all sizes adopting it for an ever-growing number of workloads. Traditional use cases such as secondary storage, backup, and long-term archiving are now joined by next-generation, cloud-native workloads that require data to remain always and quickly accessible.

With billions of devices creating and consuming content like never before—smart data lakes, media rendering and management, edge and IoT, machine learning, and artificial intelligence projects—digital transformation strategies are being embraced by companies worldwide.

Object Stores: The Digital Transformation Data Foundation

Digital transformation also means that every industry is experiencing massive data growth driven by new tools such as smartphones, wearable technology, high-resolution cameras, sensors, and applications that leverage them. Whether it is a B2C or a B2B application, examples are everywhere. Banking apps let consumers deposit checks simply by photographing them.

Empowering Digital Transformation with Hybrid Cloud Data Management Manufacturing processes are continuously improved thanks to data analytics from billions of sensors. Image recognition is becoming a standard feature in social media, retail, healthcare analytics, and more.

These applications generate petabytes of data that must be stored, analyzed, and often retained for long periods. As a result, application workloads and data are increasingly spanning on-premises and cloud infrastructures.

Build for Hybrid While Preparing for Multi-Cloud

Empowering Digital Transformation with Hybrid Cloud Data Management Even the most conservative industries are now confidently building hybrid cloud infrastructures for various use cases. Here are a few examples:

Cloud bursting: using the vast amounts of available computing power in the cloud for highly demanding workloads and rapid analysis, while keeping full control over data and paying only for the time required.
Cloud tiering: offloading cold data to the cloud to take advantage of low $/GB costs while maintaining flexibility.
Business continuity (BC) and disaster recovery (DR): eliminating the cost of a secondary DR site without sacrificing data protection or infrastructure resilience.
Advanced data management and governance: complying with increasingly demanding regional regulations while serving global customers.
The proliferation of edge services: supporting customers, applications, and data generators that push and pull data to and from core and cloud infrastructures.

Empowering Digital Transformation with Hybrid Cloud Data Management These use cases present challenges, and without the right technology, the benefits of digital transformation can be limited by trade-offs and added complexity.

These challenges must be addressed early to avoid cloud silos, which increase complexity and costs, limit data mobility and access, and compromise overall operational efficiency.

In fact, cloud silos are far worse than the enterprise data-center silos of the past, because data may now be spread across multiple clouds and accessed through numerous modern or legacy file interfaces.

If an organization’s current infrastructure is only on-premises and a hybrid or multi-cloud strategy is planned, choosing the right technology today is essential for long-term infrastructure sustainability. Building a data foundation layer is necessary to empower digital transformation processes for all business units across the organization.

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