Businesses must digitalize at least some of their processes to keep up with the ever-evolving demands of customers. It’s necessary to have high-quality software that can handle data, promote communication and collaboration, enable analytical and AI features, and integrate with other programs. This digitization process also creates enormous data sets that must be handled, stored, and examined.
As a result, businesses are increasingly turning to third-party data centers as a source of power, storage, and access to the world’s best cloud services. Even companies that rely only on cloud computing services rely heavily on data centres housed in hyper-scale facilities across the globe.
According to Zahangir Alam, founder of the Australian-based tech company Teleaus, digital infrastructure trends will be prominent in 2023. “Keeping up with emerging data center trends allows IT decision makers to make better decisions about their tech stack and networks,” he adds.
Intentionality Defines Multi-Cloud Strategies
Companies are now responsible for managing a diverse array of technology systems, including data centers, co-location facilities, public cloud services, and edge locations, which has significantly increased the complexity of the IT industry. As distributed systems continue to rise, many organizations must navigate a complex multi-cloud environment.
Businesses should rethink their multi-cloud architecture to accommodate current and future workloads. The optimal strategy is to deploy workloads to the cloud most aligned with the organization’s objectives.
Edge Computing: a Key Focus for Top Organizations
Sensors, actuators, and Internet of Things (IoT) gateways with data analytics capabilities are becoming more prevalent in enterprise environments. A recent Tech Target article predicts that by 2025, more than 50% of enterprise data will be generated and managed outside of the data center or cloud.
Edge analytics can provide real-time business insights, but it is often necessary to process the data near where it is generated. This situation makes edge computing more critical; it allows businesses to analyze data from IoT devices without sending it to the cloud.
The desire of businesses to grow smarter and operate on systems of insight instead of record systems has accelerated the adoption of AI and machine learning across all industries. Moreover, as organizations strive to go beyond data persistence and into data activation, edge devices are increasingly incorporating AI/ML capabilities. A survey conducted by Dell found that 52% of IT leaders plan to spend more on edge workloads in the next six to twelve months.
Cloud-Native Development Powers Modern Applications
As the IT world moves towards a distributed digital infrastructure, more and more enterprises are developing cloud-native applications. Businesses must stay ahead of the curve and immediately adopt a multi-cloud environment that can quickly expand, protect, and manage many edge sites. Employing third-party technology experts, like Teleaus, can facilitate the transition to and deployment of cloud-native applications.
