How to Manage Multi-Cloud (AWS, Azure & GCP) Workloads with a Small Team

Over the last +7 years, I have been working as a Cloud Architect with AWS, Azure, and GCP environments, and over the last few years, I saw massive growth in the adoption of multi-cloud environments. Also, I experimented first hand, an increment in complexity in managing these environments.

In this post, we are going to take a quick look at a great tool I found for dealing with complex IaaS (Infrastructure as a Service) multi-cloud environments: InfraGuard, which allow as to manage AWS, Azure & GCP virtual machines from a “Single Pane of Glass” Dashboard.

Since AWS was launched back in 2002, it initiated a cloud journey for most enterprises and changed the technology world. According to the Right Scale’s annual State of the Cloud Report for 2019, 91% of businesses have started using the public cloud. Further, new businesses are now born on the cloud and teams are being trained specifically for managing these workloads.

As is tradition, new breakthroughs lead to new challenges. One that I noticed over the past decades is the massive adoption of the Big 3 Cloud Providers (AWS, Azure, GCP) is the need for skilled personnel for each cloud provider — because of management consoles and services of each one are very different. Even doing simple actions such as rebooting or…