Operations | Monitoring | ITSM | DevOps | Cloud

Modern software systems are complex, with multiple services interacting across different environments. Understanding how they behave—tracking performance, identifying bottlenecks, and diagnosing failures—requires more than just collecting data. OpenTelemetry provides a standardized way to gather logs, metrics, and traces, but the real value comes from making that data easy to interpret through visualization.

Logging is essential for understanding what’s happening inside your software. It helps developers and operators catch issues, monitor system health, and track application behavior. A big part of logging is log levels—these indicate how serious a message is, from routine updates to critical errors. In this post, we’ll break down everything you need to know about log levels, how they compare to Syslog log levels, and best practices for making the most of your logs.

Without the right frameworks in place, software development often feels like managing a project with too many moving parts and no cohesive plan. A good solution to this problem would be having a unified platform that streamlines processes, integrates tools, and provides consistency across the development lifecycle. That’s what platform engineering offers—it simplifies the complexities of software development by making it easier to build, deploy, and maintain digital infrastructure.

The evolution of internet-centric application delivery has worsened IT's visibility gaps into what impacts an end user's experience. This problem is exacerbated when these gaps lead to negative business consequences, such as loss of revenue or lower Net Promoter Scores (NPS). The need to address this worsening visibility gap problem is reinforced by Gartner’s recent publication of its first Magic Quadrant for Digital Experience Monitoring (DEM).

As part of the InfluxDB 3 Core and InfluxDB 3 Enterprise public alpha, the Last Value Cache (LVC) is available for testing. The LVC lets you cache the most recent values for specific fields in a table, improving the performance of queries that return the most recent value of a field for specific time series or the last N values of a field, typical of many monitoring workloads. With the LVC, these types of queries return in under 10ms.

Network loops are a bit of a boogeyman. Loops are necessary for a well designed, resilient network – it’s the way to achieve redundancy with switches. Done right, loops protect your network from outages. Done wrong, a loop causes a major outage.