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The latest News and Information on Cloud monitoring, security and related technologies.

11 Vital Metrics And Tools For SaaS Reporting

Successful SaaS companies know that they can't rely on gut feelings alone to make business decisions. Data helps them uncover patterns, trends, opportunities, and potential gaps in their strategy that can give them a competitive advantage. Yet, simply collecting metrics can often give you a lot of data to analyze with little insight into what to do next.

Internxt

Here at Internxt, we believe that what humanity can achieve is extraordinary. We want to become a force of positive change that pushes society towards a better, brighter future. To do so, we are completely reengineering the status quo of a variety of industries, through the application of innovation in a way that’s coherent.

Nightmare on AWS street: mistakes we made and overcoming challenges of starting out with serverless

Tobi started building on AWS in 2018 for a big migration project for a very well-known German car manufacturer. Here's what he's learned from his mistakes from first starting out, which of his assumptions about building on serverless held true, and what came as a complete surprise? Learn more about building on serverless on our blog.

Manage Financial Risk & Fraud with Dynamics 365

If you have a business, security risks, particularly risks regarding privacy and data protection are unavoidable. Microsoft Dynamics 365 solutions provide vital functions to allow the creation and maintenance of a risk management plan effectively. Dynamics 365 Fraud Protection is designed to effectively protect against fraud to improve the transactional experience of both merchants and customers. It offers agility and gives capabilities to businesses to apply adaptive artificial intelligence and operational research to millions of required assessments.

When Big Data Goes Wrong: 3 Common Issues and Possible Solutions

Our shared future has always been profoundly enigmatic. Hoary seers from days of yore would never have predicted everyday life as it is now. It would have been impossible to guess most of what has already happened in the 21st century. Peering into crystal balls would have proved equally futile. Even an attempt to make well-educated guesses about possible issues with big data would likely have been way off the mark.