On Monday, September 28th 2020, Microsoft had a failure with their authentication system that affected major products and services such as Office 365, Outlook, Teams, Sharepoint, Azure and many others. The Microsoft login failure affected consumer and business users that were not already authenticated with the Azure Active Directory (Azure AD) service. Microsoft confirmed the outage on their Azure Status Dashboard website.

In previous articles we talked about the need to move forward to cloud technology, as well as about the incorporation of the monitoring of this technology, describing this need with Microsoft Azure tool. Now we are going to describe the Amazon AWS tool, its differences regarding Microsoft Azure and we will delve into monitoring AWS with Pandora FMS.

We are excited to announce a new partnership with Microsoft Azure, which has enabled us to build streamlined experiences for purchasing, configuring, and managing Datadog directly inside the Azure portal. This first-of-its-kind integration of a third-party service into a public cloud provider reduces the learning curve for using Datadog to monitor the health and performance of your applications in Azure—and sets you up for a successful cloud migration or modernization.

Amazon S3 is a highly-scalable object storage system. Amazon S3 can contain any number of objects (files), and those objects can be organized into “folders”. However, to S3, folders don’t really exist. huh? That’s right. “Folders” are a human concept, applied to S3 keys for organizational purposes. But they’re nothing special to S3 itself. Before we begin, forget everything you know about the S3 Management Console.

As you analyze your logs for application performance, infrastructure errors, system events, and more, sometimes you may need to look back to logs you were previously analyzing to help correlate events and identify the root cause of a problem. To help, we are excited to introduce Google Cloud Logging recent queries, to make it easy to track and run your past searches as you deep dive on your log data.

Ocean by Spot provides continuous optimization for the underlying infrastructure of containerized workloads. Launch specifications is a key feature that enables users to manage different types of workloads on the same Ocean cluster. With launch specs, cluster administrators can granularly set specific configurations per application, as needed.