It’s no surprise that the global edge computing market is expected to reach $9 billion by 2024, according to a study by MarketsandMarkets. Edge computing provides many benefits for enterprises including the ability to reduce latency, minimize the risk of network downtime, improve load distribution across networks, and better connect to remote enterprise locations.
Historically, data center infrastructure management (DCIM) software has been used in on-premise systems. Just five years ago, it was unthinkable for business-critical data to be transferred and stored in the cloud. Today, however, cloud-based DCIM solutions are becoming increasingly popular to manage hybrid infrastructures holistically. By taking advantage of a SaaS operating model, or DCIM-as-a-Service (DCIMaaS), companies can utilize all services related to data center management more efficiently and with greater precision.
As hybrid digital infrastructures consisting of on-premises and cloud-based systems become more and more common within companies, complexity significantly increases. A professional data center infrastructure management (DCIM) tool should be able to manage not only the data center itself, but also hybrid digital infrastructures in all their complexity. In the future, for example, even proprietary customer systems will have to be supplied with detailed information from the data center to ensure end-to-end processes.
By 2022, the global edge computing market is expected to reach $6.72 billion. By far, the biggest driver of edge capacity is the Internet of Things (IoT). To accommodate the proliferation of connected devices that produce huge volumes of data, centralized networks have morphed into networks of distributed, dynamically interconnected systems spanning clouds, microservices, and software defined networks.
Lost capacities within the data center are often the result of varying lifecycles between ICT assets, technical developments and facilities. As modern data center operations evolve past traditional design planning, both operational and financial challenges arise. For example, a typical data center is built to last at least 30 years, while facilities management infrastructure is designed to last 10-20 years. In this scenario, data center managers must determine how to reclaim lost capacities without investing in a full data center expansion.
Continue reading “Optimize Your Data Center to Reclaim Lost Capacities”
The declared aim of data center infrastructure management (DCIM) is to bridge the gap between organizational silos and support agile methodologies across multiple departments. But there is more to DCIM than a merging of facility and server management. With the rise of virtualization and SDx, it is necessary to consider a number of other stakeholders to ensure truly professional and efficient data center operation.
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Shutdowns and maintenance outages are toxic to the efficiency of data centers. Operators are now using predictive maintenance to optimize their facilities.
When looking to the future, we have long since swapped the mystic’s crystal ball for the IT-based disciplines of analytics and business intelligence. These modern methodologies are typically used to mine historical data, draw lessons from the past, and thus understand the present. Today, they are being succeeded by data science, which aims to offer insights into the future that would challenge the fabled Oracle of Delphi. But while the Oracle only spoke on the seventh day of each month (outside of the annual winter shutdown), this modern mathematical and analytical functionality is available 24/7. Continue reading “Predictive Maintenance in the Data Center”
Operating a data center requires more than just good planning – it also calls for effective management and regular process audits
Early this year, a data center located in a desert of all places suffered major damage when a roof drainage channel in an internal wall became blocked and left the IT space knee-deep in water. Although the center was correctly equipped with subfloor sensors that provided the proper early warning, the management personnel failed to respond quickly enough due to a lack of instructions on what action to take. Specifically, there was no indication in the documentation of who to contact in the event of water ingress. Continue reading “Reliable Planning and Operation with DCIM tools”
Energy efficiency is an important strategic goal for data center operators for a number of reasons. Several indicators and metrics that are widely discussed today are available to help manage data centers successfully from an energy perspective. However, energy efficiency is just one way of looking at a data center: Data center service providers, like enterprise data centers, colocation providers and others, find themselves in a challenging and fast-changing competitive environment. Because of these challenges, data center managers also need additional key performance indicators to link operations to business and to ensure they are on track regarding their overall strategies. Continue reading “Data Center Business Value Dashboards”