Network monitoring works to support security engineers in the identification of suspicious traffic events, unexpected login attempts and other potential threats
The open-source monitoring tool Prometheus is well known for being an ideal solution for handling network monitoring, as well as other use cases, including Kubernetes Monitoring. As well as Kubernetes workloads, Prometheus is equally useful when used to monitor time-series metrics from virtual machines.
Using Prometheus-backed network performance monitoring from Logit.io allows you to aggregate and centralise any logs associated with your network into a platform that provides a single source of truth.
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Network monitoring refers to the active monitoring of a computer’s network in a manner that allows users to promptly identify network issues for troubleshooting and error resolution. Features of networking traffic monitoring often include capturing and converting raw network packets, aggregating time-series metrics and the analysis of device logs.
For comprehensive visibility, your network monitoring tool of choice should be able to display metrics such as network i/o wait time, inbound and outbound errors as well as key statistics surrounding network throughput.
Whilst a network monitoring tool is able to track network events you may want to explore using a more general solution that is able to monitor across limitless types of telemetry data sources. This is an important consideration if you want to move from simply monitoring one system component to complete operational observability.
This is where a solution such as Hosted Prometheus and Logit.io for OpenTelemetry can help you expand on network monitoring towards monitoring everything that affects the system health of your organisation.
Prometheus takes care of managing, storing and querying of metrics. Metrics differ from logs as they can be used to observe a single attribute that changes over time.
Prometheus is well known as one of the best open-source solutions for network device monitoring and alerting. The tool can be easily configured to scrape metrics and statistics from all of your network applications so that this data can be visualised, reported upon and monitored.
Prometheus works in three stages, firstly it pulls metrics from an application or service to expose them in a specific format that Prometheus can comprehend. The second stage of this process requires data to be stored in Prometheus’s custom database. For the third and final stage, you will now be able to directly query Prometheus in order to diagnose issues and make informed decisions to improve network performance.
To query Prometheus you will need some understanding of its dedicated query language, PromQL. PromQL is the default query language for Prometheus and is known for having a steep learning curve for engineers that are inexperienced with its complicated syntax.
While PromQL can be hard to understand, Logit.io can help you to get started with our dedicated documentation to support the understanding of this query language.
Whilst Prometheus can be simple to initially install and launch, it is well worth considering how this open-source tool often fails to perform at a considerable scale, such as the scale required by enterprise-level businesses.
In the event of a user having access to multiple Prometheus servers split across different regions, it is often impossible to gain an overall view of all of performance metrics easily. Separate servers per region also require more engineering resources to maintain, upgrade and eventually even federate.
This is where a platform like the one provided by Logit.io can allow you to remotely retain time-series metrics for long-term storage and provide you with a global view of the health of all time-series metrics you have ingested. All without any need to maintain, upgrade and host your own open-source tooling.
As well as time-series metrics, Logit.io is also fully able to ingest, process, and alert upon traces, events and logs for a variety of use cases, including container monitoring , monitoring in production and CMMC compliance .
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Logit.io offers our company an excellent solution of ingesting our logs, we recently had to do quite a few updates on the platform since the previous service owner in our company left and didn't want to do them, Logit.io was of great assistance throughout the whole process.
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Configure flexible alerting and monitors directly from your Logit.io dashboard using hosted Prometheus. Logit.io fully integrates with existing tools and ticketing systems including Slack, Jira, Pagerduty, ServiceNow and VictorOps.
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