A particular client who operates as an ISP for its customers and corporate departments requested the ability to summarize and display, in convenient graphs, a few metrics related to the bandwidth delivered on switch ports, where the available gateways provide connectivity. The first activity I undertook was to obtain the MIB files and OIDs from…
Read MoreBy default all metrics in InfluxDB are stored forever, but for certain metrics we need to store them for a much shorter time span. One example is when we’re receiving very large amounts of raw data, when we’re much more interested in derived characteristics of that raw data. In this blog we’ll discuss how to…
Read MoreInfluxDB is the database used in NetEye for saving performance data. It guarantees graphic visibility of the data (thanks to the Grafana frontend) and it is very important that the data stored is useful. I’ll give you an example of how simple it can be to produce obsolete data in Influx: Suppose I create a…
Read MoreDuring the course of a NetEye installation, a wide range of performance data is collected. From latency metrics of ping checks, to the saturation data of disks and memory units, to the collection of utilization metrics of various kinds. For all of this data we’ve adopted the open source time series database InfluxDB. The time-aligned…
Read MoreIf you’ve ever had cardinality problems with InfluxDB, you might have discovered that a tag is the likely culprit. Well done! But now your next step is getting rid of that tag, and that’s when you’ll realize that in a time series database, tags play an important role in indexing. Because dropping tags is rather complicated,…
Read MoreChangeLog: – fixed bug: Wrong logrotate settings cause HUGE logfile (NIFDB-2)
Read MoreChangeLog: – fixed bug: Wrong logrotate settings cause HUGE logfile (NIFDB-2)
Read MoreChangeLog: – fixed bug: Wrong logrotate settings cause HUGE logfile (NIFDB-2)
Read MoreRoughly one year ago I started working on a set of backup scripts for NetEye with the following requirements: Cluster support without standby Configuration backups InfluxDB backup MariaDB backup In this post I’ll focus on the journey through my MariaDB backup implementation. Backing up MariaDB is usually a simple task: you run the mysqldump command…
Read MoreAs did for the last year edition, our DevOps team participated at InfluxDays, a conference organized by InfluxData and focused on time series data. We were really looking at the event with excitement, for all the new features InfluxData is putting into the new InfluxDB 2.0. So, apart from grabbing a very nice t-shirt, we…
Read MoreWe fixed a bug that was preventing the first secure install of a cluster to success. Now the ClickHouse autosetup, which contained the spotted bug, has been fixed and updated. Moreover we fixed two bugs related to Tenants having a name starting with numbers. In particular a bug that in this case caused the Satellite…
Read MoreWelcome to version 4.29 of our NetEye v4 Unified Monitoring Solution. With this release, NetEye welcomes us with a spectacular sunset view and a beautiful flower, symbol of the Dolomites. The Edelweiss, or “Stella Alpina”, is a protected flower that grows in high altitudes among the bare and rugged rocks of our mountains. Its gentleness…
Read MoreIf you’re familiar with the NetEye SIEM module you probably also know El Proxy, the solution integrated into NetEye to ensure the integrity and inalterability of the logs produced by the SIEM module. Since its introduction in NetEye, the only way to understand what El Proxy was doing was to inspect its logs, but as…
Read MoreWelcome to version 4.27 of our NetEye v4 Unified Monitoring Solution. This time, NetEye arrives at the same time as one of the most magical periods of the year. It’s, in fact, during the Christmas period that dozens of squares in the South-Tyrolean land are decked out to welcome thousands of people and give them…
Read MoreGrafana is an open source data visualization application that is widely used for displaying interactive monitoring and service dashboards. It focuses on a high-performance visualization of time series data, such as network throughput, access time, or CPU performance data. For this, it connects to specific time series databases such as InfluxDB, but also to common…
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