Operations | Monitoring | ITSM | DevOps | Cloud

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.

Heroku meets the needs of individual developers who want to deploy their applications seamlessly. The only requirement is to use a git repository and link your git repository to your Heroku account. However, for startups, Heroku has limitations. Those arguments make most of the startups moving away from Heroku to a more flexible place like AWS - which has 31% market share in Q2 2020.

Engineering teams that build, scale, and manage cloud-based applications on AWS know that at some point in time, their applications and infrastructure will be under attack. But as applications expand and new features are added, securing the full scope of an AWS environment becomes an increasingly complex task. To add visibility and auditability, AWS CloudTrail tracks the who, what, where, and when of activity that occurs in your AWS environment and records this activity in the form of audit logs.