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NYTECH - The Economics of Cloud Computing
AARON KLEIN, LENNY HEROLD |
CloudCheckr is a multi-cloud management platform enabling enterprises and service providers to save money, reduce risk, and ensure governance at scale.
Article | May 25, 2021
And that’s a wrap for Google I/O 2021! Its virtual nature this year surely didn’t stop its viral nature, as we saw over 215,000 registrants, over 235 sessions, 186,565 badges earned, and dozens of workshops and AMAs. Viewers from around the world once again tuned in to learn about the latest launches from Google, including Android, WearOS, Flutter, and TensorFlow. Developers came to sharpen their skills by learning the newest tools, APIs, and improved experiences to help them build.
Google Cloud has become a big part of the excitement as it unveiled a number of major launches around AI, Google Workspace, and sustainability, including a new unified AI platform, rich collaborative experiences, and breakthroughs in carbon-aware computing. If you couldn’t make it and want a quick list of the best cloud sessions, check out my cloud developer’s guide to I/O. To get to the heart of Google Cloud I/O announcements, read on.
After more than a year of remote collaboration, many people are showing signs of digital fatigue. Throughout the pandemic, millions of employees bridged the physical distances with their colleagues by making themselves more available, joining a deluge of virtual meetings, and leaning into a dizzying array of tools and applications. As part of our mission to build the future of work, we’re addressing these challenges in Google Workspace.
As we announced today at I/O, we’re launching smart canvas—a new product experience that delivers the next evolution of collaboration for Google Workspace. Between now and the end of the year, we’re rolling out innovations that make it easier for people to stay connected, focus their time and attention, and transform their ideas into impact.
When security teams find cloud vulnerabilities and misconfigurations at runtime, they are often blamed for introducing friction into the continuous integration/continuous delivery (CI/CD) pipeline and stifling the enterprise’s ability to innovate as efficiently as possible. But it is not the fault of the security team; rather, it is the broader approach that limits the involvement of security until it’s too late. When put in this position, the security team must scramble to find the fault, determine the root cause, track down the right person and work to develop the remedy, and then ensure the fix is implemented correctly.
The growth of data privacy regulation around the world is changing how companies store data. But what if something that has to stay the same is your on-prem data center?
This article will cover data privacy in the data center, looking at both the drivers keeping personal data on-prem, the challenges to meeting data privacy regulations in the data center, and show how NetApp Cloud Data Sense’s new support for NetApp appliances and on-prem databases can massively reduce the burden of compliance for on-prem deployments.
Why Some Data Needs to Stay On-Prem
Reasons for Data to Stay On-Prem
Public sector guidelines
Specific expertise on premises
Barriers to migration
There are a number of different reasons why companies may choose not to move data to the cloud. While these reasons are primarily due to business concerns, any personal data that is stored on-prem is going to need to stay compliant with the growing number of private data regulations in force today.
Public sector guidelines
Data localization can be a factor for a number of reasons. Some localities require data to be protected in redundant format, specifically using on-prem machines. There are also some regulations, such as GDPR, which limits the transfer of data out of a specific region. That can be limiting for cloud deployment, and make staying on-prem more attractive.
Performance concernsThe highest performance for your data is using the machine closest to the data. In the cloud, there are high performance options available, but some companies may not want to lose the superior performance that having data and compute on the same in-house appliance provides.
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