In SaaS companies, engineers are the biggest influencers to cloud costs. They choose the infrastructure, build the products, and produce the code. Unfortunately, having this power means engineering managers are often asked to predict cloud spend months or even years into the future. An executive or a head of finance might approach the engineering head and ask how much the company will spend on cloud costs next year, thinking he or she should naturally have the answer.

The goal of capacity planning is to match resources with demand. There are essentially three outcomes from this analysis. You can underestimate the resources you need (underprovision), which can hurt performance. You can overestimate (overprovision), which adds unnecessary costs. Or you can get it just right (rightsized). And, of course, you want to be rightsized at the lowest possible cost. Because many factors go into cloud capacity planning, it can feel like more of an art than a science.

Five worthy reads is a regular column on five noteworthy items we have discovered while researching trending and timeless topics. This week we are exploring the multi-cloud strategy and why its the next biggest thing in cloud computing. In an age where digital innovations happen at breakneck speed, the cloud has become crucial to every enterprise.

While AWS offers significant benefits compared to traditional on-premise infrastructure, its inherent elasticity and scalability tend to give rise to uncontrolled costs. AWS costs can be opaque and difficult to analyze — and without some system of identifying the source of costs and how to manage them — they can quickly undermine your profit margins. However, a number of tools have emerged over the past few years to help organizations manage and optimize their costs.

In the modern business landscape, the recent surge in cloud computing has become a game-changer, fundamentally altering how organizations manage their IT infrastructure. As businesses increasingly embrace digital transformation, migrating services and applications to the cloud has emerged as a crucial factor in guaranteeing scalability, flexibility, and cost efficiency.

Virtualization has become an essential aspect of modern computing. By creating a virtual version of a computing resource, such as hardware, storage, or an entire operating system, virtualization allows businesses to optimize resource utilization, streamline management, and reduce costs. Two of the most popular virtualization platforms in the market are Microsoft’s Hyper-V and VMware’s vSphere.

The need for reliable and secure storage solutions is real. With the takeover of cloud storage, we no longer have to stress about losing important files or running out of storage space on our devices. Everyone uses cloud storage in some way or another, but only some give their choice of provider much thinking. We now barely give backing up files a second thought, but we should.

The Software as a Service (SaaS) model operates by treating each customer as a tenant of the application. To use the SaaS application, each tenant is usually required to pay a subscription. There are three main tenancy models for a SaaS application: In this article we'll focus on specific challenges brought about by the single-tenant model, including developing, deploying, and keeping up-to-date several instances of the SaaS application.