Remember the 3-2-1 data backup rule? It states that it's a best practice to replicate at least three copies of data stored on two different media, with at least one copy off-site or off-premise. IT professionals often use an additional step; the backup rule is now 3-2-1-1. That extra “1” accounts for an air-gapped copy of your data.
Choosing the right data center location to house your virtual infrastructure and data can be crucial to avoiding the debilitating costs of unplanned downtime. To the same token, choosing the wrong data center location may lead to serious issues. Here are four things to keep in mind as you evaluate a cloud service provider’s data centers and where they are located.
NewCloud Networks specializes in cloud computing and cloud communications services. These services include private, public, and hybrid cloud, backup as a service, disaster recovery as a service, security as a service, and even hosted phones. Storing data, visualizing data, and protecting data from hackers, disasters, or simple user error, are just a couple of use cases for our cloud services.
Serverless computing is a complete misnomer. No, there is no such thing as true serverless computing. All computing can be traced back to a physical server. Even virtual servers are tied to physical servers via hypervisors. So what do professionals really mean when they talk about serverless computing? They’re really talking about cloud computing. Again, the name is totally misleading.
Topics: Cloud Computing
As cloud grows in popularity, so are the ways businesses leverage cloud technology to meet business needs. In an earlier blog, we discussed the difference between public, private, and hybrid cloud strategies. Now, a fourth type of cloud strategy, multi-cloud, is growing in popularity. Often people confuse multi-cloud and hybrid cloud. At first glance, they seem similar, both deploying multiple environments. But here some of the distinct differences between multi-cloud and hybrid cloud:
You probably heard Facebook was down earlier this month. Or, you’ve completely cut yourself out from the world of social media (props to you). Starting around noon last Wednesday, March 13th, almost 2.3 billion people were unable to access Facebook, its apps, and services due to worldwide outages. The downtime lasted about 14 hours, impacting Facebook, Instagram, WhatsApp, Messenger, and other Facebook-owned services. This unplanned downtime had serious ramifications, like a 1.8% drop in the stock price of Facebook, negative publicity, and negative impacts on businesses that use Facebook’s services to be productive. This includes advertisers and people who pay for Facebook services.
Servers are giant computers. They’re large machines that host files and applications on computer networks and must be super powerful to do so. Servers often have central processing units (CPUs, or the “brains” of the server) with multiple processors that give servers the ability to run complex tasks. Now, IT teams are virtualizing servers to achieve cost savings while boosting efficiency and agility.
Cloud adoption by financial institutions has been on the rise. According to PwC, by 2020 core financial services like credit scoring, statements management, payments, and billing will use the cloud for processing and computing. From retail banking to asset management and investment banking, the cloud provides many use cases to bring scalability, cost savings, and improved service delivery for financial institutions.
Manufacturing companies have a couple of things in common. They all look to bring more speed, scalability, and accuracy to operations. To beat out competition, these firms are turning to cloud computing to gain that competitive advantage. In fact, global spending on cloud computing by manufacturing companies is projected to reach a whopping $5.18 billion in 2019, according to IDC. Here are a couple of reasons why cloud computing is hot in manufacturing:
Everyone can relate to the frustration of a constantly buffering video on Netflix or Youtube. The video quality is poor and eventually you might give up watching altogether. This issue is normally a result of your laptop or phone trying to connect to a Netflix data center a couple hundred miles away from you. This large distance creates high latency, slow connectivity, and a poor experience for you as the viewer.