What You See

Receive a notification before an issue takes place. Within the alert, view simple to understand remediation steps.


What Indeni does behind the scenes

1 Crowdsourced Knowledge

There are four sets of Knowledge that Indeni collects from experts to pass onto our customers.

1. Tribal Knowledge

If you have 30 years of experience setting up, installing, configuring, monitoring and managing devices, you know a thing or two about network management. Here are some of tribal knowledge sets our community passes on to our customers:

  • How a device works – baseline use cases, device related to vendor specific intricacies
  • What metrics are important monitor – log, configuration, and running metrics such as CPU, memory, VPN connection, license expiration
  • What is “normal” and “abnormal” device behavior

View community members

2. Scripts

With an understanding of how a device works and what to look for, our community has worked together to turn that knowledge into code that can be reused across environments. Scripts are created in the Indeni Knowledge Language.

  • Monitoring scripts
  • Interrogation scripts

View more information on scripts

3. Remediation steps

From the simplest answers located deep in vendor forums, to the more complicated which may require coordination across security, network or data center operations teams. Indeni reduces the time spent searching for answers in vendor related forums such as CPUG, Palo Alto Networks Live, DevCentral.

View all alerts with remediation steps

4. Global Benchmark and Trending Data

Indeni customers have the option to enable Indeni Insight which sends non-sensitive information from their devices to the Indeni cloud.

  • Log, configuration, running metrics data analyzed alongside Enterprise peers
  • Global trends uncovered across types of devices, vendors, versions of vendor devices
  • Fewer, more accurate alerts shared with customers

View sample Insight Report

2 Collects Information

Collect 10 – 100x more data than SNMP approaches

Each device has a set of metrics that occur with a specific time stamp. Indeni captures numerical metrics such as 0.0, 1.0, 103.51, as well as non numeric to describe a current state, such as if a product license is up to date or not. These metrics are collected by connecting through SSH, CLI, SOAP or REST API, or the custom protocol of the device.

View advantages over SNMP monitoring

3 Applies Algorithm

99.9% of the time devices are working as expected

Based on our experience as network and security professionals, we know a device malfunctions only 0.1% of the time. In addition, it is widely documented that 70% of network outages occur due to device misconfigurations. These two constraints are built into our machine learning algorithm which allow us to reduce false positives, saving our customers time and money

View differences between Splunk & Indeni

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4 Run Automation

Increase the productivity of your team

Out of the box Indeni knows what to monitor and how inspect the devices based on knowledge from our community. It’s the perfect partnership between man and machines as Indeni follows the administrator performing mundane tasks, double checking and inspecting the logs, configurations, and running device metrics, so that the administrator can contribute to more strategically.

View sample rules

5 Notify User

Get in, out and on to what matters most

Alerts are presented to Indeni users via the Indeni dashboard, via email or phone. Do you have an existing ticketing or alerting system such as Jira, ServiceNow or other application? No problem, Indeni can forward alerts to your primary system.

Download Indeni


IKL Training Module 1: Introduction


IKL Training Module 2: Interrogation & Monitoring


IKL Training 3a: Basic JSON XML Parsing