Edge computing is defined by bringing compute resources out of remote, centralised facilities and putting them at the source of the data itself. Processing and analysis is done where the data is actually generated. The performance and cost improvements that edge computing delivers are based on this proximity. By situating our data centres close to major populations, we have delivered these benefits to many UK businesses. It is an inherently ‘local’ idea.
In the realm of cloud computing, communication and integration form the backbone of any robust architecture. With the exponential rise in distributed systems, the need for a reliable, scalable, and efficient message delivery system is more pertinent than ever. This is where Azure Service Bus, a cloud-based messaging service provided by Microsoft, becomes a game-changer.
Accelerate your Microsoft SCOM-based monitoring in the cloud with cloud-based Monitoring for Microsoft System Center Operations Manager. Seamlessly integrate Microsoft’s new Azure Monitor SCOM Managed Instance (Azure SCOM MI) to complement your current monitoring capabilities and ensure optimal performance. Azure SCOM MI empowers you to bridge the gap between your on-premise and cloud environments, enabling you to scale your operations while reducing costs.
The adoption of Microsoft Azure Desktop as a Service (DaaS) has significantly improved how businesses access and manage their desktop environments. However, as the number of users relying on DaaS increases, ensuring a seamless and reliable user experience becomes increasingly challenging. This blog post will explore businesses' key challenges in monitoring Microsoft Azure DaaS and how Synthetic Monitoring can help ensure a seamless user experience.
A foundational component of monitoring Google Cloud environments with Datadog is our Google Cloud Platform integration. This integration continuously collects metrics from all of your Google Cloud services and enriches them with tags, enabling you to scope dashboards and monitors to the relevant resources and seamlessly pivot across logs, metrics, and traces inside the Datadog platform.