Operations | Monitoring | ITSM | DevOps | Cloud

Application performance monitoring (APM) has been around for a long time. Odds are if you’re tasked with overseeing app performance, you’ve had to deal with this technology to get an understanding of your applications and any issues that can arise in the name of troubleshooting. But there’s a new approach you should consider: application observability.

This blog post explains how to read a query plan in InfluxDB 3.0 and requires basic knowledge of InfluxDB 3.0 System Architecture. InfluxDB 3.0 supports two query languages: SQL and InfluxQL. The database executes a query written in either SQL or InfluxQL according to the instructions of a query plan.

Time series data is a fundamental part of numerous real-world applications, from stock market analysis to weather forecasting to financial market forecasting. Effectively managing, analyzing, and visualizing time series data is essential for extracting meaningful insights and making informed decisions. This is where pandas time series comes into play. It can help you organize, transform, and visualize data and examine details for a specific time period.

While many segments of the IT market move quickly, the observability space seems to move at lightning speed. Fueled by open source innovation, observability toolsets and best practices constantly evolve. Sometimes, it can be tough to keep up — and even tougher to know where your own observability strategy stands. That’s the exact challenge we aim to address with our new Observability Journey Maturity Model.

Among the arsenal of tools available for monitoring and managing an organisation’s mission critical applications and service, New Relic is a popular choice for many users. In our article, we will delve into the world of New Relic Dashboards, shedding light on the best use cases that demonstrate their visualisation capabilities.