Operations | Monitoring | ITSM | DevOps | Cloud

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.

Businesses lose potential revenue, trust, and brand reputation every moment your website is down. Some of those things can never be earned back. Website outages sting whether you’re a blossoming startup or a seasoned enterprise. How often do they happen, and what’s the actual cost? That is exactly what we will explore together today!

As your applications grow, your teams may be faced with managing a complex, expanding mesh of potentially thousands of loosely connected APIs—each one a new point of failure that can be difficult to track and patch. API sprawl comes naturally in rapidly expanding, distributed applications, and the difficulty of maintaining centralized knowledge and toolsets for your APIs creates friction when teams need to leverage APIs they don’t own.

Today’s modern applications are made up of thousands of loosely connected private and publicly exposed APIs, each serving a specific function. This dynamic API landscape, in combination with the decentralized nature of microservice development, can be overwhelmingly challenging to manage—let alone govern or secure adequately. API sprawl is often created as a result, leading to fragmented or nonexistent internal API documentation, knowledge bases, and toolsets.