As you’ve probably realized by now, cloud computing isn’t the future. It is here and now. According to Gartner, global spending on public cloud services alone will surpass $725 billion by 2024. This rise in cloud computing is a great career opportunity for you. And what better way to immensely benefit from this shift than becoming a cloud engineer?

Microsoft Azure offers over 150 cloud products and services. In addition to Infrastructure-as-a-Service (IaaS), Software-as-a-Service (SaaS), and Platform-as-a-Service (PaaS), Azure Cloud also supports multiple use cases. Yet, Azure can be complex, expensive, and a lot to figure out — let alone optimize for your specific cloud computing needs. Maybe you’ve looked into the cloud service provider.

The promise of cloud computing has always been about flexibility and cost-effectiveness. Yet many organizations find themselves trapped in a cycle of unpredictable costs and underutilized/overutilized resources. The culprit? A lack of understanding about the power of scaling within platforms like Amazon’s Elastic Kubernetes Service (EKS).

Cost optimization in cloud environments is no longer a luxury — it’s a necessity. As businesses increasingly migrate to AWS, they are met with the difficult task of ensuring robust performance and scalability, all while keeping an eagle eye on costs. How does one achieve this delicate balance? How can organizations ensure that their AWS architectures are both high-performing and cost-efficient?

Amazon Elastic Kubernetes Service (EKS) has revolutionized the way organizations deploy, manage, and scale containerized applications using Kubernetes. However, optimizing costs on EKS infrastructure remains a challenge for many. Enter Karpenter, a Kubernetes-native node autoscaler designed to improve resource efficiency.

Essentially, cloud infrastructure consists of a set of virtual tools and resources that help deliver cloud-based services and products. For companies, cloud infrastructure liberates them from building their own physical data centers. Instead, they rent computing capacity on a need-by-need basis. But let’s not get ahead of ourselves. In this post, we’ll define cloud infrastructure, examine cloud computing types, delivery models, and more.

Cloud computing offers many advantages over on-premises environments, including scalability, flexibility, and cost-efficiency. Yet, simply using a “lift and shift” strategy — where you move your application as-is from an on-premise environment to the cloud with minimal, if any, modification — can lead to several issues (such as inefficient design, bloated costs, etc.).

As an engineer at a SaaS company, it’s your job to build the software products that make your company profitable. Problem-solving is what you love to do, and it’s a wonderful feeling when you can create something that makes a positive difference for your company.

If you’ve just started working with CloudZero, then welcome to the family! You’ve taken the first step in an ongoing journey toward complete cloud cost visibility and optimization, with progress markers that you’ll work toward every single day.

One of the major issues with first-generation cloud cost management platforms is their tendency to become shelfware. Low data quality, high barriers to entry for new users, and low signal-to-noise ratio made it hard to drive cost accountability among engineering teams — and pushed many organizations to nearly give up on it.