Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Rackspace Technology Introduces a New Cloud DNS v2 API

Programming Interface is Faster, Easier, More Scalable and Accurate for Developers

Rackspace Technology, a leading end-to-end, multicloud technology solutions company, announced today the launch of v2, a new Cloud DNS API that provides several enhancements to the Rackspace Technology Cloud DNS v1 API, which will continue to be available to developers. Rackspace Technology hosts website domains free of charge for its customers.

Latest Aithority Insights: Why Contextual Targeting Deserves Another Look with Artificial Intelligence (AI)

The Rackspace Technology Cloud DNS v2 API will allow developers to work faster, more easily, scale at a higher volume and catch errors when DNS records are created. Features of the new v2 DNS API include:

  • Improved Speed: The v2 API is designed to function in a fraction of a second instead of in minutes because almost all work is conducted synchronously, reporting the status immediately, as opposed to endpoints returning an asynchronous job.
  • Greater Scalability: A more efficient internal architecture allows users to scale to higher volume and achieve faster change-to-publish times.
  • Better Record Validation: Many common bugs and mistakes made in the creation of DNS records are avoided, making record validation more consistent through all Rackspace Technology external and internal APIs.

In addition, new features can be delivered to v2 faster than ever before through a code that is easier to understand.

“With the launch of v2, we are providing an easy-to-use API that makes that part of the service they provide as effortless, smooth and high quality as possible,” said Juan Riojas, Rackspace Technology Chief Information Officer. “To this end, the evolved version will help our customers manage their DNS in a more convenient and easier to manage set of processes.”

AI and ML NewsWhy SMBs Shouldn’t Be Afraid of Artificial Intelligence (AI)

Growing adoption of IoT across industries

Related Posts
1 of 40,456

The growth of IoT has resulted in a large rise of data, causing companies to rely more heavily on centralized multi – cloud management solutions. The global IoT solution and service market is predicted to grow at a double-digit CAGR of 14.9 percent between 2020 and 2025. A research report predicts that the number of active IoT devices will reach 31 billion by 2025. Furthermore, Accenture forecasts that IIoT would contribute USD 14.2 trillion to the global economy by year 2030. Shifting the complete IT infrastructure to the cloud raises concerns about performance and cost sustainability. As a result, enterprises that use IoT sensors, actuation, and other IoT devices are increasingly interested in edge computing solutions such as network edge, devices, and hyper-localized data.

Restraint

Initial CAPEX for infrastructure

Corporations are fast embracing digitalization by implementing innovative technology to seamlessly automate and speed their daily operations. Edge computing may cut data transport and storage costs via localized processing, but engaging in edge infrastructure still increases organizations’ CAPEX. Companies seeking full edge computing solutions would need to make significant investments in edge nodes, other edge devices, and edge network infrastructure. They would also have to pay more money to safeguard the gadgets and the core system. As a result, many content distribution organizations are hesitant to migrate to the edge solely to achieve low speed processing.

Opportunity

The emergence of self-driving cars and linked automobile infrastructure

Increasing consumer usage and different technology breakthroughs have resulted in the expansion of equipment for connected and autonomous vehicles. Automated vehicles transmit weather, light, and traffic conditions and use that information to navigate, regulate, and operate. Edge computing has great prospects to enhance the progress of driverless driving by making analysis quicker and closer to the source of data. Although it is still in its early stages, several businesses have begun to rethink the cloud using edge computing to enable autonomous and connected automobile technologies.

Read More About AI News : AI Innovation Supports Rural and Remote Internet Connectivity

[To share your insights with us, please write to sghosh@martechseries.com]

Comments are closed.