Gartner’s experts predict that cloud computing will have almost driven out the traditional on-premises model of workload location by 2020. “Cloud will increasingly be the default option for software deployment,” said Jeffrey Mann, Research Vice President at Gartner. “The same is true for custom software.”
Artificial Intelligence (AI) is intelligence exhibited by machines. It means а machine’s ability to perform tasks that usually could only be performed by utilizing the human mind. Writing AI has been a dream for many decades, but today we see some elements everywhere, even in your own pocket.
In a matter of years, cloud-based computing shifted from a buzzword to a robust technology that has been vectoring the present-day IT domain. According to statista, the size of the cloud application market has grown by almost 100 percent from 2013 to 2017, and it is expected to keep growing extensively.
Virtualization is creation of virtual servers, infrastructures, devices and computing resources. A great example of how it works in your daily life is the separation of your hard drive into different parts. While you may have only one hard drive, your system sees it as two, three or more different and separate segments. Similarly, virtualization technology has been used for a long time. It started as the ability to run multiple operating systems on one hardware set and now it a vital part of testing and cloud computing.
Migrating software to cloud is one of the biggest trends in recent years that brings many benefits to businesses that utilize the capabilities of cloud. Due to its popularity, migration is often mismanaged, without experienced staff and an understanding of the processes that go into cloud migration. The problems may come from insignificant mistakes by a team that doesn’t have enough experience, but the biggest mistakes are made at the planning stage. Let us go through the common cloud migration mistakes to create an understanding of the migration process.
Firmware is an essential part of our everyday life. Everything- from your TV remote to embedded systems that run complex industrial production systems. Testing is vital to create software that runs complex embedded systems.
Although the Big Data market has gone up in recent years, its biggest growth is yet to come. The market size is expected to account for $33.5 billion by the end of 2017, and this number is predicted to almost triple within ten years.
Ever wonder how two seemingly disparate notions – the conversion rate and load testing affect each other? There is a direct dependence between the website’s performance and resource attractiveness for users. The purpose of load testing is to assess the operations of web resources and spot possible bottlenecks for further performance enhancement. Let us explore via the example of Black Friday.
Cloud computing has gained incredible popularity in recent years, and experts predict that this tendency will continue to grow in the near future. Indeed, companies that employ more than 1,000 people assume that their spending on migration to the cloud will go up in 2017. For example, the average budget will increase from 7.3% in 2016 to 33% in 2017 for organizations with 1,000 to 9,999 employees.
Everyone agrees that cloud computing provides scalability, provisioning, virtualized resources and an ability to expand the server base quickly. Private cloud vs. public cloud discussions always follow this statement for some notable reasons.
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