In recent years, the adoption of cloud computing has skyrocketed as more and more businesses realize the benefits of this modern IT solution. With its unparalleled reliability, scalability, and cost-effectiveness, cloud computing has become the go-to choice for many organizations. According to recent estimates, around 90% of businesses are already using some form of cloud computing, and this number is only set to rise in the coming years.

Cloud FinOps is rapidly becoming popular among organizations in today’s digital age due to its ability to help manage financial operations more efficiently. This is because it allows organizations to track, measure, and optimize their cloud spend with greater visibility. It also helps improve operational efficiency by automating numerous financial processes, including billing, budgeting, auditing, and reporting.

If you’re under pressure to improve your users’ digital experiences, from ecommerce to delivering public services, you’re probably painfully aware that legacy approaches to delivering software applications and features just don’t cut it. One of the key solutions to both legacy organizations and startups that addresses that shortfall is DevOps. Why? The clue is in the name.

Azure Data Lake Storage (ADLS) is a highly scalable and cost-effective storage solution provided by Microsoft Azure for big data analytics. ADLS can handle structured and unstructured data, making it a popular choice for businesses looking to optimize their cloud storage management. In this article, we will provide a comprehensive analysis of the key factors that impact costs in Azure Data Lake Storage.

Azure Stack HCI is a virtualized workload solution from Microsoft that allows businesses to run Windows and Linux apps and services in a hybrid on-premise/cloud environment. Built on top of Windows Server, Azure Stack HCI is an example of hyper-converged infrastructure (HCI). This technology virtualizes conventionally hardware-defined systems like storage and networking to create flexible, efficient infrastructure solutions.

Google Cloud Operations is a powerful integrated monitoring, logging, and trace managed service for applications and systems running on Google Cloud and beyond. As part of our partnership with Google, we help extend Cloud Operations with BindPlane OP and OpenTelemetry monitoring for a complete monitoring solution. With BindPlane OP, Google Cloud Operations becomes a single pane of glass for monitoring all aspects of your data center, no matter if it’s on prem or running in the cloud.

What makes good team culture? Find out what the DORA Research says.

Migrating an on-prem database to a public cloud comes with a number of benefits, such as no longer needing to manage and maintain physical infrastructure, dynamic scaling, disaster recovery, and overall cost reduction. However, migrating to the cloud can often be a complex and daunting task. For instance, if an organization is a Microsoft shop with teams that rely on SQL Server databases, Azure is a natural fit for its needs.

One of the biggest challenges in using cloud infrastructure is the ever-increasing noise in cloud security. Therefore, it is now more important than ever to create focused risk visibility for your critical business units and business-critical applications (a.k.a. “crown jewels”). However, creating visibility in silos does not sufficiently address the above problem.

The ability to scale your applications is crucial for businesses, enabling them to manage growing user traffic, maintain application performance, and expand the business efficiently. Heroku has become one of the most popular platforms for this purpose due to its user-friendliness, rapid deployment, and support for various programming languages. Despite its powerful infrastructure and beneficial features, scaling on Heroku presents certain challenges in terms of high cost and poor performance.