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?

As an engineer or CTO, you already know that monitoring your tech stack is essential for maintaining optimal performance, security, and health. The thing is, building and hosting an observability platform for your full stack’s logs, metrics, and more is quite time-consuming and can be costly. One of the top contenders if you are seeking a SaaS-based monitoring and observability tool is Datadog. Perhaps you already use Datadog but would like to switch to another observability platform.

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.).

DevOps. DevSecOps. AIOps. NoOps. RevOps. FinOps. It’s hard to keep up sometimes. No worries, though. CloudZero sits at the intersection of finance and operations — and we recently joined the FinOps Foundation, which brings together FinOps practitioners to collaborate, learn, and network. In this guide, we’ll share more about FinOps and why it matters to you as a SaaS company that relies on cloud services and OpEx financials.

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.

Getting the right information at the right time can dramatically change the direction of your business. Yet, you may not have enough time to keep up with everything. We get it. So, our team pulled a few all-nighters (so you don’t have to) and brings you the key SaaS statistics every SaaS leader, team, and engineer should see right now.