Aggregations are a powerful tool when processing large amounts of time series data. In fact, most of the time you’re going to care more about the min, max, mean, count or last values of your dataset than you will about the raw values you’re collecting. Knowing this, InfluxDB and the Flux language make it as easy as possible to run these aggregations, whenever and wherever you need to, and sometimes that leads people to running them in ways that aren’t as efficient as they could be.
5G technology promises user benefits that include faster network speeds, better remote access to networks, more seamless videoconferencing, and more robust network security. These are all necessities for the new world of work, and many are eager to embrace them. The technology also offers advantages to telecommunications companies: Despite those benefits, many telecom providers continue to struggle with legacy processes.
Whether running on a fully cloud-hosted environment, on-premise servers, or a hybrid solution, modern services and applications are heavily reliant on network and DNS performance. This makes comprehensive visibility into your network a key part of monitoring application health and performance. But as your applications grow in scale and complexity, gaining this visibility is challenging.