There are a variety of different connectivity models available to enterprises as they embark further on their cloud journey. In this blog, we take a look at which model could suit your business best...

In the beginning, companies and cloud cost management vendors focused on reducing the absolute cost of the cloud. That would be the equivalent of solely focusing on the total cost of a sales organization versus considering how much new revenue they were booking, or the productivity of the sales team or the cost of customer acquisition. As cloud spend followed its rapid growth trajectory, curbing it most often relied on discounts.

AWS provides multiple ways to deploy containerized applications. From small, ready-made WordPress instances on Lightsail, to managed Kubernetes clusters running hundreds of instances across multiple availability zones. When deciding on the architecture of your application, you should consider building it serverless. Being free from (virtual) server management enables you to focus more on your unique business logic while reducing your operational costs and increasing your speed to market.

Have you considered cloud portability, i.e., the ability to easily move workloads between on-premises systems and across multiple cloud service providers (CSPs)? The idea is that workloads should run in the environment that delivers the most value for your organization, but as that “optimal” environment can change over time, you need to be able to move your workloads accordingly.

In this part 1 of a blog series on serverless monitoring, we will learn how to run the observIQ Distro For OpenTelemetry Collector, referred to as “oiq-otel-collector”, in Google Cloud Run. There are many reasons that someone may want to run monitoring in a serverless state. In our example, we will be monitoring MongoDB Atlas, a cloud hosted version of MongoDB.

Many companies like all their API calls to external services routed through Azure API Management (APIM). If you are a user of Serverless360 BAM, then one of the options is to use Azure API Management as a proxy to your BAM API and then use APIM from within Logic Apps.

One of the best features of the public cloud is that it utilizes a model that enables multiple organizations to share cloud resources. This approach leverages economies of scale, ensuring each tenant sharing those resources receives a lighter bill than if they utilized a private cloud dedicated to just them. Likewise, multi-tenancy in cloud computing is cloud architecture that enables multiple organizations/customers/users to share resources like virtual machines, storage, and server components.