Machine learning is frequently used interchangeably with artificial intelligence, and while the two are similar, they’re not quite the same and have different implications for data centers. Artificial intelligence refers broadly to a machine’s ability to simulate human intelligence by performing human-like tasks while adjusting to new situations and stimuli. Machine learning is a subset of artificial intelligence research that focuses specifically on a computer’s ability to learn new tasks or to perform existing tasks more effectively on its own without human direction.
Migrating computing workloads to a cloud environment is a big step for any organization, regardless of its size. As the cloud market has matured over the last decade, making the decision to migrate is only the first of many choices facing a company. Fortunately, data centers offer a wide range of connectivity options that allow them to help customers build the best cloud infrastructure for their business.
Use this checklist to help protect your investment, mitigate potential risk and minimize downtime during your data center migration.
Organizations are increasingly making the decision to migrate their IT operations to a cloud environment. Whether the move is driven by cost considerations, flexibility, or security reasons, transferring from an on-premises infrastructure to a cloud-based one can be a considerable undertaking. Not only must data be transferred, but any applications and operations currently deployed in physical servers will also need to make the move.
Optimizing a data center makes the facility increasingly attractive to clients, more agile when meeting needs, and less prone to downtime, among other benefits.
Not all data centers are created equal. The Uptime Institute (UI), the IT industry’s most trusted global standard for the proper design, build, and operation of data centers, has developed strict standards in order to separate the very basic from the very best. Rather than assign grades, UI classifies data center types by four tiers. Each tier represents different levels of availability, hours of interruption per year, and data center facility and system redundancy standards.
It’s no secret that today’s Internet of Things (IoT) paradigm has had a massive impact on IT – and specifically, data centers. Not only has the IoT movement pushed data center providers to enhance their services and operations and increase power capacities, it has also driven many businesses to re-think their infrastructure deployments and data center investments.
The market for data center switches is approaching $14 billion with no signs of stopping. Some industry experts predict that the switch market will eclipse $17 billion in the next five years. What’s driving the growth of data center switches?
The cloud market continues to grow, driven primarily by Amazon Web Services’ (AWS’) ever-growing market share. TechCrunch covered AWS’ cloud infrastructure explosion in a recent article, citing findings in Synergy Research Group’s Q3 cloud market report.
When it comes to optimizing uptime, managed services providers (MSPs) are fighting two battles — meeting customer expectations for network availability and managing requirements for application integration, speed and security. And given the high costs of outages, MSPs are increasingly urged to find proactive ways to fight those battles. The question is, where do you start?
The managed services sector is growing rapidly. Research and Markets has projected the market to accumulate over $240 billion by 2021, with key segments like software-as-a-service (SaaS) and infrastructure-as-a-service (IaaS) expected to generate well over $30 billion individually in 2017. But while demand for these services is high, uptime requirements for managed service providers (MSPs) are even higher. In fact, according to the ITIC 2017 Global Reliability Survey Mid-Year Update, 99.99% uptime is now the minimum reliability required by nearly 80% of organizations.