Operations | Monitoring | ITSM | DevOps | Cloud

As technology advances, operating systems play a vital role in providing a seamless user experience. Microsoft’s Windows OS has been at the forefront, constantly introducing innovative features over time. Two features related to improving the end-user digital experience are the Windows Experience Index (WEI) and Reliability Monitor. These measurements have become instrumental to Digital Experience Monitoring (DEM) in assessing system capabilities and measuring stability.

LogicMonitor’s LM Container is an excellent choice for users who wish to effectively monitor Kubernetes environments running mission-critical business applications. We have now introduced a new cost optimization feature called dynamic property filtering, which offers added flexibility and customization to users. In this blog post, we will guide you through this exciting new feature with a step-by-step example of selectively monitoring a persistent volume based on its state.

The integration of Azure’s event-driven model with LogicMonitor’s monitoring capabilities offers businesses a robust solution for real-time IT infrastructure monitoring. LogicMonitor’s cloud-based platform provides a comprehensive overview of an organization’s IT infrastructure, both on cloud and on-prem.

Prometheus is a very popular open-source monitoring and alerting toolkit originally built in 2012. Its main focus is to provide valid insight into system performance by providing a way for certain variables of that system to be monitored. Prometheus displays the performance of these variables as a graph to allow its users to see their system’s performance at a glance.

Databases in one form or another are almost an inseparable part of modern applications. A popular one among them is MySQL on which this article will focus. But how to monitor MySQL? This article will give an introduction to this topic.

Root cause analysis, or RCA, is the process of identifying the cause of a problem so measures can be taken to prevent that problem from happening again. RCA assumes it’s more effective to resolve problems by addressing the underlying cause rather than just the symptoms.

IT networks generate large volumes of information in the form of security, network, system and application logs. The volume and variety of log data makes traditional network monitoring capabilities ineffective — especially for monitoring use cases that require proactive decision making. These decisions are based on things like: All of this makes large-scale and complex enterprise IT networks a suitable use case for advanced AI and machine learning capabilities.

New Integrations Provide Superior Digital Developer and User Experiences Our most recent release of Dexda demonstrates our commitment to harnessing the transformational power of Artificial Intelligence (AI) for hybrid observability. Using a variety of advanced machine learning and AI techniques, Dexda dramatically reduces alert fatigue. Our use of intelligence and automation continues to change the way IT teams work.