How to Choose the Right Google Cloud Compute Engine Machine Type
For many years after the inception of Compute Engine on June 28, 2012 (GA December 2, 2013), N1 was the only Google Cloud machine type family offered.
The latest News and Information on Cloud monitoring, security and related technologies.
For many years after the inception of Compute Engine on June 28, 2012 (GA December 2, 2013), N1 was the only Google Cloud machine type family offered.
It’s safe to say that cost per tenant (also known as cost per customer) on AWS has been a challenging metric to obtain. Until now, your best bet has usually been to either make a best guess or build some sort of homegrown system. As of November 4, 2020, when you google “cost per tenant,” you get a few things at the top of the page. The first is a couple of blogs by AWS, where they describe an extraordinarily complex system, which you can build yourself.
With cloud computing growing at a phenomenal rate across the world, shifts in consumer behavior towards digital services are resulting in evolutionary changes for the banking, financial services and insurance industry. Cloud-based banking, for example, is regarded as a catalyst for business transformation and a turning point in financial services. Cyber safety, however, has become a key concern holding back cloud adoption in many organizations.
Last month, inspired by JamstackConf I built Jamstackery.website. This mini-site runs on AWS, and is managed by our platform. Our hope is that this mini-site demonstrates the promise of an architecture that blends containers with functions, and all the supporting certificates, permissions, and resources necessary to provide a world-class infrastructure.
I’m very excited to announce the general availability of Mattermost Cloud starting today. The new offering brings Mattermost’s industry-leading open-source, self-managed collaboration platform to the cloud as a SaaS platform.
Do you know how much it costs to operate your software per customer, at each pricing tier? The past six months have been highly unusual to say the least. For some companies, the disruption and shift to work from home meant 100x in usage almost overnight; for others usage completely collapsed in the same time period. These sharp swings in utilization have been disruptive to cloud unit economics. Both scenarios are risky and require extreme elasticity from the technical infrastructure.
The events of 2020 have accelerated ecommerce, increasing demand for and traffic on online marketplaces. Analyst eMarketer predicts that ecommerce sales in the United States will grow 18% in 2020, against an overall fall in total retail sales of 10.5% for the year. Likewise, our business—Japan-headquartered consumer-to-consumer marketplace Mercari Inc—is growing rapidly. In the United States alone, we have seen 74% year-on-year growth in monthly average users to 3.4 million.
Under the hood, Moogsoft Observability Cloud extends AI-based intelligence so that it starts with raw observability data analysis. It discovers your infrastructure services to collect and analyze the time-series metrics locally, along with turning time-series metrics and event data from your existing tools into actionable insights.