In the realm of virtualization, snapshots play an integral role in managing virtual machines (VMs). Essentially, a snapshot captures the state of a VM at a specific point in time, providing a reference point to which you can revert if necessary. This can be especially handy when implementing changes to your VM or its applications, allowing you to quickly undo the changes if they cause any unforeseen issues.
In this article, we will deploy a clustered Prometheus setup that integrates Thanos. It is resilient against node failures and ensures appropriate data archiving. The setup is also scalable. It can span multiple Kubernetes clusters under the same monitoring umbrella. Finally, we will visualize and monitor all our data in accessible and beautiful Grafana dashboards.
Did you know that data centers are some of the most energy-intensive buildings? They consume 10 to 50 times the energy per floor space of a typical office building. As governments, industry regulators, and customers demand more energy efficient data centers, data center managers are tasked to comply with corporate sustainability initiatives by finding new ways to innovate and reduce energy consumption.
In our previous blogs, we discussed the transformative capabilities of AI in demand forecasting and planning for the retail and CPG industries, as well as the data science and ethical considerations behind it. Now, in this final installment of our series, we'll explore how businesses can maximize their margins by integrating, adopting, and executing AI-powered solutions.