iptables and Microsoft Fabric Integration
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Table of Contents
Powerful Performance, Limitless Scale
Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.
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Input and output integration overview
The iptables plugin for Telegraf collects metrics on packet and byte counts for specified iptables rules, providing insights into firewall activity and performance.
The Microsoft Fabric plugin writes metrics to Real time analytics in Fabric services, enabling powerful data storage and analysis capabilities.
Integration details
iptables
The iptables plugin gathers packets and bytes counters for rules within a set of table and chain from the Linux iptables firewall. The plugin monitors rules identified by associated comments, as rules without comments are ignored. This approach ensures a unique identification for the monitored rules, which is particularly important since the rule number can change dynamically as rules are modified. To use this plugin effectively, users must name their rules with unique comments. The plugin also requires elevated permissions (CAP_NET_ADMIN and CAP_NET_RAW) to run, which can be configured either by running Telegraf as root (discouraged), using systemd capabilities, or by configuring sudo appropriately. Additionally, defining multiple instances of the plugin might lead to conflicts; thus, using locking mechanisms in the configuration is recommended to avoid errors during concurrent accesses.
Microsoft Fabric
This plugin allows you to leverage Microsoft Fabric’s capabilities to store and analyze your Telegraf metrics. Eventhouse is a high-performance, scalable data-store designed for real-time analytics. It allows you to ingest, store and query large volumes of data with low latency. The plugin supports both events and metrics with versatile grouping options. It provides various configuration parameters including connection strings specifying details like the data source, ingestion types, and which tables to use for storage. With support for streaming ingestion and event streams, this plugin enables seamless integration and data flow into Microsoft’s analytics ecosystem, allowing for rich data querying capabilities and near-real-time processing.
Configuration
iptables
[[inputs.iptables]]
## iptables require root access on most systems.
## Setting 'use_sudo' to true will make use of sudo to run iptables.
## Users must configure sudo to allow telegraf user to run iptables with
## no password.
## iptables can be restricted to only list command "iptables -nvL".
use_sudo = false
## Setting 'use_lock' to true runs iptables with the "-w" option.
## Adjust your sudo settings appropriately if using this option
## ("iptables -w 5 -nvl")
use_lock = false
## Define an alternate executable, such as "ip6tables". Default is "iptables".
# binary = "ip6tables"
## defines the table to monitor:
table = "filter"
## defines the chains to monitor.
## NOTE: iptables rules without a comment will not be monitored.
## Read the plugin documentation for more information.
chains = [ "INPUT" ]
Microsoft Fabric
[[outputs.microsoft_fabric]]
## The URI property of the resource on Azure
connection_string = "https://trd-abcd.xx.kusto.fabric.microsoft.com;Database=kusto_eh;Table Name=telegraf_dump;Key=value"
## Client timeout
# timeout = "30s"
Input and output integration examples
iptables
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Monitoring Firewall Performance: Monitor the performance and efficiency of your firewall rules in real time. By tracking packet and byte counters, network administrators can identify which rules are most active and may require optimization. This enables proactive management of firewall configurations to enhance security and performance, especially in environments where dynamic adjustments are frequently made.
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Understanding Traffic Patterns: Analyze incoming and outgoing traffic patterns based on specific rules. By leveraging the metrics gathered by this plugin, system admins can gain insights into which services are receiving the most traffic, effectively identifying popular services and potential security threats from unusual traffic spikes.
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Automated Alerting on Traffic Anomalies: Integrate the iptables plugin with an alerting system to notify administrators of unusual activity detected by the firewall. By setting thresholds on the collected metrics, such as sudden increases in packets dropped or unexpected protocol use, teams can automate responses to potential security incidents, enabling swift remediation of threats to the network.
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Comparative Analysis of Firewall Rules: Conduct comparative analyses of different firewall rules over time. By collecting historical packet and byte metrics, organizations can evaluate the effectiveness of various rules, making data-driven decisions on which rules to modify, reinforce, or remove altogether, thus streamlining their firewall configurations.
Microsoft Fabric
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Real-time Monitoring Dashboards: Utilize the Microsoft Fabric plugin to feed live metrics from your applications into a real-time dashboard on Microsoft Fabric. This allows teams to visualize key performance indicators instantly, enabling quick decision-making and timely responses to performance issues.
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Automated Data Ingestion from IoT Devices: Use this plugin in scenarios where metrics from IoT devices need to be ingested into Azure for analysis. Using the plugin’s capabilities, data can be streamed continuously, facilitating real-time analytics and reporting without complex coding efforts.
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Cross-Platform Data Aggregation: Leverage the plugin to consolidate metrics from multiple systems and applications into a single Azure Data Explorer table. This use case enables easier data management and analysis by centralizing disparate data sources within a unified analytics framework.
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Enhanced Event Transformation Workflows: Integrate the plugin with Eventstreams to facilitate real-time event ingestion and transformation. By configuring different metrics and partition keys, users can manipulate the flow of data as it enters the system, allowing for advanced processing before the data reaches its final destination.
Feedback
Thank you for being part of our community! If you have any general feedback or found any bugs on these pages, we welcome and encourage your input. Please submit your feedback in the InfluxDB community Slack.
Powerful Performance, Limitless Scale
Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.
See Ways to Get Started
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