Although there are many great tools out there to get on top of application monitoring, there’s one vital metric that’s often overlooked by us technical folks – cost. In the days of running apps on servers in private datacenters, the kit was a one-time purchase that the systems team had to deal with. But running apps in public clouds is a different story. Whether you’re running on VMs, containers in Kubernetes, or entirely serverless, execution of your code adds to the bill.

Bill shock stemming from surprisingly high cloud bills remains a persistent concern for enterprises that have migrated to the cloud. Cloud service providers often market the cloud as a highly effective means to lower operational costs. By moving their applications and processes to cloud-hosted infrastructures, organizations are saving money that would have gone to datacenters, hardware, and personnel.

Although reducing costs is one of the benefits organizations seek in deploying Kubernetes in the cloud, many organizations find it difficult or impossible to monitor and control their costs. The problem typically stems from a lack of visibility. For example, 53% of respondents in the Anodot State of Cloud Cost Report 202 2 said their biggest challenge to controlling costs is gaining visibility into their cloud usage and associated costs.

Cloud cost intelligence is a game-changing way to understand where your money is going and what that means for your business. Any company with a cloud services bill can benefit from a cloud cost intelligence strategy that outlines which spending decisions are beneficial and which should be scrapped in favor of something else. But let’s say you have done your background research and you understand what cloud cost intelligence is and why it matters. Where do you go from there?

Accurate, fair budgets make everyone in the company happy. Engineers love when they can build products that make the company money, executives enjoy seeing nice, wide margins, and finance departments celebrate when everything goes according to plan. But keeping the budget for cloud computing reasonable can seem like a lofty goal when your company’s cloud spending seems to change with the direction of the wind.

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While Kubernetes enables your team to deliver more value, more rapidly, cost discussions around Kubernetes — and Kubernetes cost monitoring — can be difficult. You have disposable and replaceable compute resources constantly coming and going, on a range of types of infrastructure. Yet at the end of the month, you just get a billing line item for EKS cost and a bunch of EC2 instances.

One of the key advantages of cloud services versus on premise deployments is the wide range of purchasing options and pricing models. While it’s an attractive advantage, it can be complicated for organizations to determine the best blend of service pricing models. The ability to define the organization’s blend of purchasing strategies and display the target versus actual performance is critical for optimizing cloud cost management efforts.

The age of growth-at-all-costs is over. Profitability matters — and it matters now. For SaaS companies who rely heavily on the public cloud, understanding what’s driving (or hurting) profitability can be tricky. Different customers have different needs and usage patterns, drive different levels of cost, and impact profitability unequally. Cybersecurity has played a central role in CloudZero from the beginning —or really, before it.

Cloud computing offers several advantages over legacy on-premises systems, including cost, scalability, and performance. Today, Amazon Web Services (AWS) offers over 200 cloud services that can integrate seamlessly with your existing workflows, making it one of the most popular public cloud platforms. AWS strives to make its tools easy to use, but managing resources and services can be challenging.