Google this week said it would for the first time natively support VMware workloads in its Cloud service, giving customers more options for deploying enterprise applications.
The hybrid cloud service called Google Cloud VMware Solution by CloudSimple will use VMware software-defined data center (SDCC) technologies including VMware vSphere, NSX and vSAN software deployed on a platform administered by CloudSimple for GCP.
We are living in a hyperconnected world where anything can now be pushed to the cloud. The idea of having content located in one place, which could be useful from the management’s perspective, is now redundant. Today, the users and data are omnipresent.
The customer’s expectations have up-surged because of this evolution. There is now an increased expectation of high-quality service and a decrease in customer’s patience. In the past, one could patiently wait 10 hours to download the content. But this is certainly not the scenario at the present time. Nowadays we have high expectations and high-performance requirements but on the other hand, there are concerns as well. The internet is a weird place, with unpredictable asymmetric patterns, buffer bloat and a list of other performance-related problems that I wrote about on Network Insight. [Disclaimer: the author is employed by Network Insight.]
Also, the internet is growing at an accelerated rate. By the year 2020, the internet is expected to reach 1.5 Gigabyte of traffic per day per person. In the coming times, the world of the Internet of Things (IoT) driven by objects will far supersede these data figures as well. For example, a connected airplane will generate around 5 Terabytes of data per day. This spiraling level of volume requires a new approach to data management and forces us to re-think how we delivery applications.
Why? Because all this information cannot be processed by a single cloud or an on-premise location. Latency will always be a problem. For example, in virtual reality (VR) anything over 7 milliseconds will cause motion sickness. When decisions are required to be taken in real-time, you cannot send data to the cloud. You can, however, make use of edge computing and a multi-CDN design.
Mist, now a Juniper Networks company, has rolled out an artificial-intelligence, cloud-based appliance and a WiFi 6 access point that together aim at helping users deploy smart, high-density wireless networks.
Leading the rollout is the Mist Edge appliance that extends Mist’s cloud services to the branch and lets enterprises manage the distributed Wi-Fi infrastructure from a central location.
The Mist Edge device features the company’s artificial-intelligence engine that helps automate tasks such as adjusting Wi-Fi signal strength and troubleshooting. According to Mist, some other potential use cases for Mist Edge include:
JavaScriptCore, the JavaScript engine for Apple’s WebKit browser engine, has been upgraded with a new bytecode format that improves memory efficiency and type safety.
The goal of the format, detailed in a June 21 bulletin, was to reduce memory consumption and allow the bytecode to be cached on disk. The WebKit team claims the new format uses 50 percent less memory on average, which translates to an overall 10 percent reduction in memory usage for JavaScript-heavy websites such as Facebook or Reddit.
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