Lambda allows you to allocate memory for your functions in increments of 1 MB, ranging from a minimum of 128 MB to a maximum of 10,240 MB (10 GB). When we specify the memory size for a Lambda function, AWS will allocate CPU proportionally. For example, a 256 MB function will receive twice the processing power of a 128 MB function.

In the epic struggle against spiraling cloud costs, the only durable solution is automated optimization. The manual engineering efforts that most people call “cloud cost optimization” these days can be time-consuming and tedious, if not impossible at the scale at which modern data stacks operate. Moreover, they redirect valuable human resources away from technical innovation.

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.

The need to optimize cloud costs is a fact of life for SaaS companies — it’s required to stay competitive. But to optimize effectively, you’ll first need to find a way to accurately allocate all costs to the resources, teams, products, features, and customers that generated them. However, not all cloud cost allocation methods are created equal.

Using the cloud is like ordering a meal from a restaurant. You can choose the type of food you want. You decide the amount you want to order. And, you choose the frequency you want to have it delivered to you. It's an efficient and customizable way to meet your needs — or is it? Each organization has different needs and considerations, and it takes careful thought to find the model that will best serve those needs.

ROI is a standard business metric calculated by comparing the benefits (or returns) of an investment to the cost of the investment. The higher the ROI, the greater the benefit compared to the cost. But in the case of DCIM software, it’s important to understand that returns aren’t always direct financial gains. They can also include benefits like improved system reliability, greater operational efficiency, and a smaller environmental footprint.

The public cloud market is expected to grow significantly in 2023, and it’s no surprise. Gartner forecasts that end-user spending on public cloud services will rise by 21.7% to a total of $597.3 billion in 2023, up from $491 billion in 2022!

Kubernetes (K8s) is the most popular container orchestration platform today. But, it can also be quite complex. To overcome this management challenge, you can deploy your Kubernetes containers using the Google Kubernetes Engine, which is a fully managed service. Yet, to get the most from GKE, you still need to follow best practices. And the following best practices for monitoring GKE clusters will help you get started.

As organizations embrace cloud computing, understanding, and optimizing costs becomes essential. Azure, Microsoft’s cloud platform, offers various services and features to help you manage your cloud expenses effectively. One powerful technique to achieve this is by performing Azure unit cost analysis. In this blog post, we will explore the concept of unit cost analysis and provide a step-by-step guide on performing it in Azure.

Picture the last time you were sitting at your desk trying to make sense out of the multiple cloud provider bills you just received. The amounts all change from month to month, and you can’t really compare them against each other because they all use different formats. To say this is a confusing and frustrating situation to be in is an understatement. Perhaps you’re there now, which is why you’ve searched for advice on multi-cloud cost management.