AWS is the most popular cloud service provider partly due to its global data center network. The distribution enables organizations to configure their workloads to meet the needs of their global clients. The thing is AWS Regions charge different rates for almost everything, from compute and storage to data backup and retrieval services. And these cost variances can add up quickly.

Although container-related technology existed before 2013, Docker revolutionized and propelled it into the mainstream. Using Docker, developers could automatically create containers from application source code, share libraries, and reuse containers. Docker enables you to track container image versions, roll back to an earlier iteration, and track who built a specific one. You can even upload only the deltas between two versions.

HighRadius is a FinTech company that specializes in using automation to make financial management easier. So naturally, RamKishore Middela, assistant vice president of cloud engineering at HighRadius, recognizes more easily than most the benefits of automating his company’s cloud cost management with CloudZero.

GCP Cost Reporting is one of several tools provided by Google Cloud Console. The more you know about them, the more you’ll understand your Google Cloud bill. In addition, knowing the drivers behind your costs will help you reduce waste and maximize your GCP spend. This quick guide to GCP reporting tools will guide you on how to do it. We’ll also share how to get more detailed cost intelligence such as Cost per Customer or Cost per Feature on top of basics such as total and average costs.

Whether you’re growing rapidly and need to expand your infrastructure or demand has slowed and you need to scale down, AWS Auto Scaling can help. While manual scaling is time-intensive and costly, auto scaling is an automated process that adjusts capacity for predictable performance and costs. Auto scaling can help you optimize how your application is used and reduce wastage and optimize cloud spend.

For years, CloudZero has been a leader in the cloud cost allocation space, a statement supported by the fact that we remain the only cloud cost management platform to have received SOC1 Type 2 certification for our extreme accuracy when it comes to allocation and financial reporting capabilities. To quote our co-founder in the 2022 blog post listed above, “Quite simply, we organize cloud spend better than anyone else in the world.” Even so, we’re always looking to iterate and improve.

The cloud computing space is constantly evolving — a fact that can sometimes set the stage for inconsistencies and confusion around both industry terminology and best practices. Cloud agnostic is one of those confusing terms, as is cloud native. But with the number of cloud agnostic and cloud native applications growing, it’s important to set the record straight.

Picture a fast-growing company that depends heavily on AWS for its infrastructure but doesn’t use AWS Budget Alerts. One month, they received an AWS bill 50% higher than expected. Without any warnings, they could not address the cost anomalies in real time. This led to budget overruns and strained financial planning. The engineering team couldn’t explain to the finance operations how that happened. This situation highlights the need for AWS Budget Alerts.

MongoDB has earned quite the credentials as a flexible, high scalability, and reliable database management system. Yet, it isn’t flawless. Several MongoDB alternatives now offer superior advantages for specific use cases. In this guide, we’ll share insights into the strengths and weaknesses of leading alternatives to MongoDB. By the end of this post, you will be in a better position to choose your next DBMS with confidence.

Cloud-native applications continue to evolve and grow in complexity. And that complexity hurts the most when managing Kubernetes costs in Azure. AKS cost optimization may seem obvious, but it might also seem difficult to achieve. Microsoft’s fully managed Kubernetes service can help you run, manage, and deploy containerized applications. And while it optimizes performance, it can cause unexpected costs when improperly managed.