Operations | Monitoring | ITSM | DevOps | Cloud

Centralized logging provides visibility into the system by consolidating all the log data in a single all-in-one source. It supports two particular enterprise needs: Once all the data is ingested in a central location, you can seamlessly identify the problems in systems and troubleshoot them. But with ease comes challenges, too. For example, your team members may struggle with locating their desired details from this sea of data.

“Why bother with it? I let it run in the background and focus on more important DevOps work.”— a random DevOps Engineer at Reddit r/devops In an era where technology is evolving at breakneck speeds, it's easy to overlook the tools that are right under our noses. One such underutilized powerhouse is the systemd journal. For many, it's a mere tool to check the status of systemd service units or to tail the most recent events (journalctl -f).

At observIQ, we've seen growing interest in observing the health of Windows systems and applications using OpenTelemetry. Requests on the SQL Server receiver continue to garner the most interest, so let's start there. Below are steps to get up and running quickly with the contrib distribution of the OpenTelemetry collector. We'll be collecting and shipping SQL Server metrics to a popular backend, Google Cloud.

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.

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.

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.

As modern software systems become increasingly distributed, interconnected, and complex, ensuring production reliability and performance is becoming harder and more stressful. Seemingly nondescript changes to our infrastructure or application can have massive impacts on system uptime, health, and performance, all while the cost of production incidents continues to grow.