One of the major benefits of choosing the cloud over on-premise architecture is the ability to easily and quickly scale — but what does scalability mean in cloud computing? If your business is in the process of growing, it’s important to know your technology options so you can make informed decisions on how to scale. In this article, we cover scalability in cloud computing, its benefits, and more. Let’s get to it!

Cloud spenders of all sizes, but particularly those who have exceeded the $50,000 a month benchmark, know how challenging it can be to extract meaningful insights from their spend environments. As a digital-native company grows, its spend environment naturally gets more complicated — and without a strong organizational framework, what could be a treasure trove of data turns into a rat’s nest of semi-organized, confounding figures.

As a SaaS leader, you probably understand how crucial it is to get your engineers to make strategic cloud cost decisions. After all, your engineers are responsible for most of the cloud operating costs within your company. Unfortunately, getting engineers to care about costs isn’t always intuitive or easy. In fact, it’s commonly thought to be one of the most difficult challenges faced by SaaS leaders and FinOps specialists.

Wherever you are on your cloud journey, you’re likely under pressure to cut or at least control your cloud spend. You may be undertaking “quick fix” cost cutting tactics such as turning off resources or moving workloads to cheaper services. But, as you may be finding out, tactical, reactive cost management activities generally only work for the short term and do not solve systemic inefficiencies that only increase over time if not addressed.

As a provider of over 200 cloud products and services, Microsoft Azure provides most of the capabilities you need to manage your cloud workloads. While this breadth of services can be beneficial, it can also create complexity issues, such as reducing cloud cost visibility and increasing security blind spots. Proper Azure cloud management can change this. In this snackable guide, we’ll share what Azure cloud management is, the key tools you need to manage your Azure environment, and more.

Over the past few years, Google has grown its cloud services to include more than 100 products and services. Today, Google Cloud rubs shoulders with the top two cloud service providers. Yet, managing a Google Cloud environment has become increasingly challenging as the platform expands its GCP tools. It’s not just Google Cloud. The same is true today for other leading public cloud providers. To its credit, Google Cloud provides plenty of tools to help you get the most out of the platform.

What Does Microsoft Azure Do? Azure Development Tools Azure Cost And Resource Management Tools Azure Security Tools Azure Monitoring And Reporting Tools How To Choose The Best Azure Tools For Your Business View The People, Products, And Processes That Drive Your Cloud Spend With CloudZero Modern cloud environments can be challenging to manage. It doesn’t have to be that way if you use the right tools.

How Engineering-Led Optimization Works Achieve Cloud Efficiency Without Slowing Down Innovation Historically, cloud cost optimization has been the responsibility of finance teams. Engineers have bought what they claim to need to build top-notch software; finance teams have gotten (and paid) the bill; neither has had an in-depth understanding of what the other is doing.

Amazon Web Services (AWS) has been the leader in cloud computing for more than ten years. Despite a decade of extensive innovation, no other resource encapsulates the principles of the cloud more than one of their flagship services, Elastic Cloud Computing, also known as EC2. Through EC2, AWS is able to offer flexible and scalable virtual infrastructure that can be ‘rented’ to run applications and workloads.

Understanding your AWS S3 billing is crucial to effectively manage and reduce your costs. Charges in AWS S3 are primarily based on three factors: the amount of data you store, the number of requests you make, and data transfer fees. Storage costs are calculated per gigabyte (GB) stored, which are tiered depending on the total size of your data. Requests costs are incurred with each put, get, or list operation on your objects, with prices varying based on the type of request.