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 cloud is here—and so are its acronyms. Since software as a service (SaaS) hit the world in 2001, the ‘as a service’ model has been extended to just about everything you can think of. Along the way, the definition has become a little muddied. It used to be that -aaS meant something delivered on a subscription basis via the cloud, without a physical component.

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.

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.

For most organizations, the cloud is a promise for better outcomes. Let’s be honest, why would you go through all that effort otherwise? This is especially true for all those applications and workloads that are currently running in data center environments but need to be moved to the cloud to support digital transformation efforts.

In the vast ever-changing world of technology, Serverless and Faas are the two new categories of cloud computing services. Both FaaS and Serverless have helped organizations in saving money, refocusing developers’ time, relegating infrastructure management, and harnessing cloud technology. However, while both are treated as the same, there is a slight difference. Through this post, we will shed light on the similarities and differences between FaaS vs.

AWS provides some great cost savings opportunities that allow customers to use the best available cloud offering while minimizing ongoing costs. However, there is a tradeoff insofar that a commitment of 1 or 3 years must be made to get discounted rates.