In the ever-evolving and fast-changing landscape of cloud computing and modern software development, achieving 360-degree visibility into your critical business services, applications and infrastructure is essential. This is where observability comes into play. Observability, especially in a cloud-based or cloud-native environment, has become a critical aspect of maintaining and optimizing complex systems and services.

As distributed, interconnected microservices have replaced monolithic applications, application monitoring has had to evolve to support these modern, complex architectures. Rather than monitoring a single application and code base, organizations need to monitor the performance and network connectivity of multiple services that interact with each other.

Use SaaS-based tools to improve margins, get a "single pane of glass" view for more accurate IT management data. A version of this blog first appeared on Channel Futures A couple of decades ago I sat down with my manager to consider how to improve the project’s operating margins.

The combination of Hewlett Packard Enterprise and OpsRamp is helping organizations to manage and transform their multi-vendor and multi-cloud IT estates with AI-driven operations, improving the performance and reliability of those environments while reducing complexity and technical debt.

“Observability” seems to be the buzzword du jour in IT these days but what does it actually mean, and how is it any different from plain, old monitoring? In simple terms, observability is the ability to understand how a system is performing and how it is behaving from the data that system generates. It is not just about monitoring metrics or collecting logs, but also understanding the context of those metrics and logs, and how they relate to the overall health of the system.