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.

We’ve all had moments when we wish we could just rewind time, especially when dealing with complex software or system configurations. Well, with VMware’s snapshot feature, that’s essentially what you can do. Let’s explore this concept further.

In the bustling digital world, data is akin to gold. Handling and managing it effectively is key to unlocking the vault of opportunities. This is where Amazon Web Services (AWS) Simple Storage Service (S3) comes in – an essential tool that enables businesses and developers to manage their data effectively and efficiently.

How JCB improves team structure, risk management, and application and platform development.

The cloud is the future — or is it? While statistics show that the public cloud continues to grow, a small but loud group is proudly going in the other direction. David Heinemeier Hansson, the CTO of 37signals — the company behind Basecamp and HEY, among others — recently posted his controversial take on the subject, announcing that the organization would be leaving the cloud.

Microsoft’s Azure platform offers robust networking capabilities that aid businesses in creating efficient, secure, and highly customizable cloud environments. As such, a deep understanding of Azure Networking is crucial for IT professionals and organizations striving to harness the power of cloud computing. This guide will unpack the complexities of Azure Networking and provide a roadmap for mastering its various components.

New playbooks can help detect issues automatically and provide support when troubleshooting your GKE environment.

Azure Function is an event-driven serverless computing service on Microsoft Azure. It is a cost-effective solution with less code where the user can execute their logic as event-driven, readily available blocks of code without needing infrastructure.

There are many benefits of incorporating CI/CD into your ML pipeline, such as automating the deployment of ML models to production at scale. The focus of this article is to illustrate how to integrate AWS SageMaker model training and deployment into CircleCI CI/CD pipelines. The structure of this project is a monorepo containing multiple models. The monorepo approach has advantages over the polyrepo approach, including simplified dependency versioning and security vulnerability management.

Many organizations manage a hybrid infrastructure spread over on-premise and multiple public cloud platforms such as AWS, Azure and Google for specific business applications. The hybrid cloud approach has advantages but adds more complexity for IT teams responsible for keeping IT systems safe and secure. The monitoring tools system administrators use for on-premise infrastructure are often unsuitable for monitoring public cloud platforms.