Maestro Blog

Selecting an effective tool for your virtual infrastructure optimization is a complex task. It needs a deep investigation of the options on the market, the details of their offerings, checking if the provisioned feature set meets your needs and expectations. Even if the vendor provides a free tier, the effort of applying the necessary configurations can take several days, and after that, you need to learn how to use the new tool properly. Thus, getting the understanding if a tool fits you may take even weeks. And the price of a mistake – if it does not – is very high, because effort and time are spent in vain – and you may be as far from your initial goal as you were at the very start. However, with Maestro you can see if it fits your business in terms of infrastructure and costs optimization in just a few days – and any intermediate result will still be helpful even if you decline Maestro at the end. So, how does this work?   Day 1. Basic resource optimization One of th

Infrastructure analytics is one of the cornerstones for effective cloud management. Each cloud provider offers its own set of features and services for such purpose. We can say that AWS QuickSight, Google Data Studio, and Microsoft BI are among the top of the native analytics and BI offerings. They are deeply integrated into their native infrastructures, provide the detailed review of the infrastructure state, events and cost, and allow to take a deep dive into details, being powered by strong internal mechanisms and AI/ML engines. However, in many cases they provide a huge volume of data which needs a BI expert to cope with, as well as may have limited customization possibilities in terms of the covered data scope. Also, if you use more than one cloud, or have private datacenters, the fact that each of these tools is limited to its vendor, may be a reason for you to find a third-party analytics tool. Here is where you may consider solutions such as CloudHealth, AppOptics, or IBM C