Operations | Monitoring | ITSM | DevOps | Cloud

Reinventing any technology is an interminable process. When it comes to legacy infrastructure and virtualization, Nutanix took the giant leap to hyper-converged infrastructure (HCI). Dating back to 2009, Nutanix brought in HCI with the vision to invent a better way to build and manage data centers.

Applications have traditionally been run on servers, which have to be closely monitored to ensure there are no hindrances in production. In the case of serverless computing, you no longer have to manage servers, as the onus falls on cloud service providers. Read along to discover more about serverless computing, including some of its advantages and disadvantages. So what actually is serverless computing?

Desktop applications are self-contained programs that operate without any external hosting software. While a web application typically requires a web server to translate the program into HTML content for the web browser to consume, desktop applications deliver the service directly to end-users. We use a number of desktop applications day to day, like conferencing tools, stock management software, source control desktop applications like GIT and Tortoise, photo editing tools, and so on.

Event-driven applications have become the foundation for developing modern digital applications. Application workflows are easier to automate with serverless frameworks, and Amazon EventBridge has revolutionized the way serverless applications are built. Since serverless is the new cool kid in the town, there has been a lot of infrastructure reengineering. This blog describes how alert-driven business logic can automate serverless workflows using Amazon EventBridge.

Virtual machines (VMs) are one of the on-demand, scalable computing resources that Microsoft Azure offers. They enable streamlined allocation of resources in backup, disaster recovery, and deployment environments. A VM is typically chosen when you need more control over your computing environment. However, Azure VMs come with the challenge of simultaneously monitoring them across multiple environments when the VMs are spread unevenly, with some being overutilized and others underutilized.