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The AI Boom Will Drive up Data Center Costs and the Need for Control

Data centers are the backbone of the digital economy, hosting the servers, networks, and software that power the internet and cloud services. Data centers consume a lot of electricity, accounting for about 1% of the global energy demand in 2019. As AI becomes more widespread and complex, data centers will need to upgrade their hardware and infrastructure to meet the growing demand for AI processing. This will increase the cost of operating data centers in several ways.

Azure Rightsizing: Maximizing Performance and Minimizing Costs

Organizations increasingly leverage Azure to host their applications and services in today’s cloud-driven world. However, efficiently managing Azure resources ensures optimal performance, cost-effectiveness, and resource utilization. One essential aspect of resource management is rightsizing. In this blog post, we’ll explore the concept of rightsizing Azure resources and provide practical tips on optimizing your deployments.

8 Tips to incorporate the voice of the customer in your story grooming/sprint planning

Creating successful products and projects goes beyond just great ideas and flexible processes. It's about truly understanding and listening to your customers.Attentively listening to their wants and needs unlocks invaluable insights that can revolutionize your story planning and project execution. In this blog, we'll look at easy but powerful tips to use the customer's input during story planning.

Docker Container Lifecycle Management

Managing an application's dependencies and tech stack across numerous cloud and development environments is a regular difficulty for DevOps teams. Regardless of the underlying platform it uses, it must maintain the application's stability and functionality as part of its regular duties. However, one possible solution to this problem is to create an OS image that already contains the required libraries and configurations needed to run the application.

How FinOps should become a strategy for continuous cloud and cost efficiency

Cloud computing was originally pitched as a cost-savings alternative to traditional IT infrastructure. The concept was simple: only purchase what you need and adjust those resources up and down based on demand. This eliminated large up-front costs and made it possible to right-size the amount of compute and storage infrastructure based on a specific workload. While that might have been true in the beginning, CIOs are finding themselves in a different situation today.

DoD Compliance + DoD Configuration Management: How to Get Compliant with Less Effort

DoD compliance is a set of rules and expectations for IT cybersecurity in organizations that do business with the US Department of Defense (DoD). Discover everything you need to know about DoD compliance and DoD configuration management in this blog – plus how to manage DoD compliance better and faster with Puppet.

CloudHealth Vs. CloudWatch: How Do They Differ?

Amazon’s CloudHealth and VMware’s CloudHealth are two of the most popular cloud management and system monitoring platforms today. But which platform does what, and are they even direct competitors? In this post, we'll compare the two services and highlight their main differences so you can choose which to use — or whether to use both.

Using AKS with workload identities in terraform

We all use Kubernetes on a daily basis, and the more we use it, the more it is apparent that Kubernetes alone will not be as fruitful as it will be with deeper integrations. One of these integrations is Microsoft Azure, which provides the ability to connect, use, and retrieve information from services on your behalf.

Making Sense: AI Effect, Red Hat Ruckus, Monoliths vs. Microservices

Each day the news assails us with a jumbled wave of trends, hype, provocative claims, and skirmishes. From news venues around the globe, the D2iQ brain trust is called upon to provide insights and commentary to help make sense of the hot topics and controversies affecting the cloud-native and Kubernetes communities.