--- title: "Efficient Software for Ongoing IT Documentation" date: "2026-11-04T17:48:39+00:00" url: "https://faddom.com/efficient-software-for-ongoing-it-documentation/" description: "Ongoing IT documentation software keeps records of infrastructure, assets, and dependencies current as environments change. Faddom is best for agentless dependency mapping in hybrid IT, Device42 for combined discovery and CMDB, IT Glue for structured MSP documentation, and Auvik for automated network maps." --- # Efficient Software for Ongoing IT Documentation **TL;DR:** Ongoing IT documentation software keeps records of infrastructure, assets, and dependencies current as environments change. Faddom is best for agentless dependency mapping in hybrid IT, Device42 for combined discovery and CMDB, IT Glue for structured MSP documentation, and Auvik for automated network maps. ## What Is Ongoing / Continuous IT Documentation Software? Ongoing [IT documentation](https://faddom.com/it-documentation-examples-best-practices/) software is a tool that helps IT teams create, organize, and continuously update technical documentation. It provides a central location for storing information about IT infrastructure, network configurations, hardware, software, systems, and operational procedures. Unlike static documentation, which can quickly become outdated, ongoing documentation is maintained as systems and configurations change. Table of contents 1. [What Is Ongoing / Continuous IT Documentation Software?](#what-is-ongoing-continuous-it-documentation-software) 2. [Continuous IT Documentation Software at a Glance](#continuous-it-documentation-software-at-a-glance) 3. [Why Is Continuous IT Documentation Important?](#why-is-continuous-it-documentation-important) 4. [Key Capabilities of Software for Ongoing IT Documentation](#key-capabilities-of-software-for-ongoing-it-documentation) 5. [Notable Software for Ongoing IT Documentation](#notable-software-for-ongoing-it-documentation) 6. [Conclusion](#conclusion) These tools help IT teams keep technical information accurate and accessible throughout the IT environment’s lifecycle. Common features include automated asset discovery, documentation templates, version history, access controls, and integrations with IT management tools. Some solutions can automatically collect system information and detect changes, reducing the need for manual updates. **In this article:** - [Ongoing IT Documentation Software at a Glance](#continuous-it-documentation-software-at-a-glance) - [Why Is Continuous IT Documentation Important?](#why-is-continuous-it-documentation-important) - [Key Capabilities of Efficient Software for Ongoing IT Documentation](#key-capabilities-of-software-for-ongoing-it-documentation) - [Notable Software for Ongoing IT Documentation](#notable-software-for-ongoing-it-documentation) ## Continuous IT Documentation Software at a Glance The table below summarizes the key differences between the solutions covered in this guide. We explore each one in more detail in the sections that follow. | **Category** | **Solution** | **Best For** | **Key Strengths** | **Things to Consider** | |---|---|---|---|---| | Infrastructure discovery and dependency mapping | **Faddom** | Agentless dependency mapping and live documentation of hybrid IT | Maps servers and business apps in under 60 minutes, logs all changes | Some vSphere setups need extra VMs per ESXi host | | Infrastructure discovery and dependency mapping | **Device42** | Enterprises needing discovery, CMDB, and DCIM in one platform | Agentless hybrid discovery with built-in ADM, IPAM, and CMDB | Setup and navigation can feel complex for smaller teams | | Infrastructure discovery and dependency mapping | **ServiceNow Discovery and Service Mapping** | Large enterprises standardized on ServiceNow CMDB and ITOM | Agentless and event-driven discovery feeding a single CMDB | Sold within ITOM; implementation often relies on partners | | Infrastructure discovery and dependency mapping | **Lansweeper** | Validated asset inventory across IT, OT, cloud, and IoT | Multiple discovery methods with ML device fingerprinting | Cloud and on-prem editions differ in features | | IT documentation and network mapping platforms | **IT Glue** | MSPs and IT teams documenting assets, passwords, and SOPs | Relationship mapping, password vault, AI-generated SOPs | Network discovery requires the Network Glue add-on | | IT documentation and network mapping platforms | **Hudu** | IT teams wanting docs, assets, and passwords in one tool | Structured docs, IPAM, checklists, and client sharing | Network discovery requires a separate Hudu Radar license | | IT documentation and network mapping platforms | **Auvik** | Network teams and MSPs needing automated network maps | Live topology maps, config backups, 700+ vendors supported | Network-focused; per-device pricing can add up | ***Related content: Read our guide to*** [***IT documentation tools***](https://faddom.com/it-documentation-tools-10-solutions-to-know-in-2026/) ## Why Is Continuous IT Documentation Important? ### Maintaining Visibility into Changing IT Environments IT environments change frequently as organizations deploy new applications, replace hardware, update configurations, and expand cloud infrastructure. Static documentation often fails to reflect these changes, creating gaps between documented information and the actual environment. **Continuous IT documentation** helps teams maintain an up-to-date view of their infrastructure. It records changes to systems, network connections, configurations, and asset relationships. This visibility allows administrators to understand the current environment and make informed decisions when planning upgrades, migrations, or maintenance. ### Reducing Reliance on Manual Documentation Manual IT documentation requires administrators to record changes, update diagrams, and maintain asset inventories. These tasks take time and are often delayed or overlooked, especially when IT teams are handling incidents or managing multiple environments. **Continuous documentation software** reduces this workload by automatically collecting information from connected systems and updating records when changes are detected. Depending on the tool, this may include hardware details, installed software, network configurations, and device relationships. Automation improves consistency and allows IT staff to focus on tasks that require technical judgment. ### Identifying Undocumented IT Assets and Dependencies IT environments often contain assets that are missing from existing documentation. These may include newly deployed virtual machines, unmanaged network devices, legacy systems, or cloud resources created outside standard provisioning processes. Missing records make it difficult to assess security risks, track ownership, and understand infrastructure dependencies. **Continuous IT documentation tools** can use network discovery, infrastructure integrations, and configuration data to identify assets that are not recorded in the documentation. Some tools also map relationships between servers, applications, databases, and network devices. This helps teams identify dependencies before making changes and reduces the risk of disrupting connected services. ### Supporting IT Operations and Troubleshooting Accurate documentation provides IT teams with the technical information needed to investigate incidents and perform routine maintenance. When documentation is outdated, technicians may spend additional time identifying devices, checking configurations, or determining how systems communicate. **Continuous IT documentation** gives technicians access to current asset details, configuration records, network diagrams, and system dependencies. During troubleshooting, this information helps them locate affected components, review recent changes, and identify possible causes of failures. It also supports consistent maintenance procedures and makes it easier for different technicians to work on the same systems without relying on undocumented knowledge. ## Key Capabilities of Software for Ongoing IT Documentation ### Automated IT Asset Discovery and Inventory Automated [IT asset discovery](https://faddom.com/it-asset-discovery/) identifies devices, systems, and resources connected to an organization’s IT environment. This can include physical servers, virtual machines, network devices, storage systems, and cloud resources. Discovery tools collect technical details such as: - IP addresses - Operating systems - Hardware specifications - Installed software The collected information is organized into a centralized asset inventory. Regular discovery scans help identify newly added, modified, or removed assets, reducing gaps in documentation. IT teams can use this inventory to track infrastructure resources, verify configurations, and identify systems that require maintenance or updates. **How this improves efficiency:** Automating asset discovery and inventory updates reduces manual data entry and documentation errors, allowing IT teams to maintain accurate records with less administrative effort. ### Continuous Infrastructure Discovery and Monitoring Continuous infrastructure discovery allows documentation software to regularly examine IT environments and identify changes in their components. Instead of relying on occasional manual audits, these tools maintain updated infrastructure records using: - Scheduled scans - API integrations - Other data collection methods Some solutions also monitor infrastructure attributes such as device availability, configuration details, and resource relationships. This helps administrators identify changes between discovery cycles and maintain documentation that reflects the current environment. However, infrastructure discovery should not be confused with full performance monitoring, which typically requires dedicated monitoring tools. **How this improves efficiency:** Continuous discovery improves efficiency by automatically identifying infrastructure changes, reducing the need for repeated manual audits and preventing documentation from becoming outdated. ### Automated Application Dependency Mapping Automated [application dependency mapping](https://faddom.com/application-dependency-mapping/) identifies relationships between applications and the infrastructure components they rely on. These dependencies may include: - Databases - Application servers - Virtual machines - Network services - External systems Mapping tools analyze network communication, configuration data, and service relationships to identify connections. Dependency maps help IT teams understand how infrastructure changes may affect applications and business services. For example, administrators can identify which applications depend on a particular database server before scheduling maintenance. This information is also useful for troubleshooting, migration planning, and assessing the potential impact of system failures. **How this improves efficiency:** Automated dependency mapping reduces the time required to identify relationships between systems, helping IT teams assess change impacts and troubleshoot issues without manually tracing connections. ### Real-Time IT Infrastructure Visualization IT infrastructure visualization converts discovered infrastructure data into graphical representations of systems and their relationships. These visualizations may include interactive diagrams showing: - Servers - Network devices - Virtual machines - Cloud resources - Application dependencies Some documentation platforms update these diagrams automatically when new discovery data becomes available. This allows IT teams to examine infrastructure relationships without manually maintaining network diagrams. Visualization also makes it easier to identify connected systems, investigate failures, and understand complex environments. The freshness of the displayed information depends on the tool’s discovery and synchronization frequency. **How this improves efficiency:** Automatically generated and updated infrastructure diagrams eliminate repetitive manual mapping, allowing IT teams to understand system relationships and investigate issues more quickly. ### Agentless Discovery and Documentation [Agentless discovery](https://faddom.com/network-discovery-agent-agentless/) allows IT documentation software to collect infrastructure information without installing dedicated software agents on every monitored device. Instead, these tools communicate with existing management interfaces and protocols, such as: - SSH - WMI - SNMP - Cloud provider APIs This approach reduces deployment overhead and simplifies documentation across environments containing different operating systems and device types. It can be particularly useful when installing agents is impractical or restricted. However, agentless discovery still requires appropriate credentials, network connectivity, and permissions. The information available also depends on the interfaces supported by each system. **How this improves efficiency:** Agentless discovery improves efficiency by eliminating the need to install and maintain software agents on individual devices, reducing deployment time and ongoing maintenance effort. ### Automatic Detection of Infrastructure Changes Automatic change detection identifies differences between previously recorded infrastructure states and newly collected data. These changes may include: - New or removed devices - Modified IP addresses - Updated operating systems - Configuration changes - Altered system dependencies Documentation software can compare discovery results and record detected changes in a history or audit log. Some tools also generate notifications when specific changes occur. This helps IT teams investigate unexpected modifications, verify planned infrastructure updates, and understand how environments evolve. Change history can also support troubleshooting by showing what changed before an incident occurred. **How this improves efficiency:** Automatic change detection reduces the effort required to compare infrastructure configurations manually, helping IT teams identify unexpected modifications and investigate incidents faster. ### Network Topology Mapping [Network topology mapping](https://faddom.com/network-topology-mapping/) creates visual representations of how network devices and systems connect. Documentation tools may discover routers, switches, firewalls, servers, and other connected devices using protocols such as SNMP and LLDP, along with routing and interface information. The resulting topology maps help administrators: - Understand network structure - Trace connections - Identify potential points of failure Some tools provide both physical and logical network views, allowing teams to examine device connections, subnets, VLANs, and routing relationships. Automatically updated topology maps reduce the effort required to maintain network diagrams as devices and connections change. **How this improves efficiency:** Automated network topology mapping reduces the time spent creating and updating network diagrams, enabling administrators to trace connections and troubleshoot network issues more efficiently. ### Hybrid and Multi-Cloud Infrastructure Visibility Many organizations operate infrastructure across on-premises data centers, private clouds, and multiple public cloud platforms. Documenting these environments separately can make it difficult to understand resource relationships and maintain a complete infrastructure inventory. Ongoing IT documentation software can be combined with on-premises discovery methods and integrate cloud platforms such as: - AWS - Microsoft Azure - Google Cloud These integrations help collect information about virtual machines, storage resources, networks, and other cloud services. By combining this information in a centralized view, IT teams can track resources across environments, identify dependencies, and maintain consistent documentation for hybrid and multi-cloud infrastructure. **How this improves efficiency:** Centralized discovery across on-premises and cloud environments eliminates the need to maintain separate inventories, reducing duplicated documentation work and simplifying infrastructure management. ## Notable Software for Ongoing IT Documentation **How we selected these tools:** We shortlisted ongoing IT documentation software based on automated asset discovery, application dependency mapping, change detection, and infrastructure visualization capabilities. ### Infrastructure Discovery and Dependency Mapping Software #### 1. Faddom ![](https://faddom.com/wp-content/uploads/2026/11/2e1901bd-d796-4f92-a7cc-b4fdc318ce0f-300x63.png) **Best for:** Agentless dependency mapping and live documentation of hybrid IT **Strengths:** Maps servers and business apps in under 60 minutes, logs all changes **Things to consider:** Some vSphere setups need extra VMs per ESXi host Faddom is an application dependency mapping platform that discovers servers, business applications, and the dependencies between them across hybrid environments. Discovery is agentless and platform agnostic, and initial maps are typically available within an hour of setup. The platform builds business application maps from observed communication, records every infrastructure change in its documentation, and maintains a current asset inventory. An AI model learns topology behavior across multiple layers, flags traffic anomalies, and answers questions in plain language. Faddom data can be fed into ITSM, monitoring, and security tools. **Key features include:** - **Agentless discovery:** Discovers servers, operating systems, installed software, business applications, and cloud services across on-premises and cloud environments without installing agents. Setup takes minutes, and discovery runs in real time. - **Business application mapping:** Automatically groups servers into business applications and builds maps that show how infrastructure components communicate, revealing the architecture of the environment. - **Automatic change documentation:** Tracks and logs every change to servers, connections, and dependencies, so documentation reflects the current state of the environment without manual updates. - **Change impact simulation:** Simulates the effect of planned changes on operations before they are made, and uses dependency maps to locate the root cause of outages. - **Continuous asset inventory:** Maintains an up-to-date inventory of servers, software, applications, and cloud services, which can be used as on-demand evidence for IT audits and compliance. - **Migration and continuity planning:** Uses dependency maps to group workloads, sequence data center migrations, and plan disaster recovery so no dependent systems are left behind. - **AI-based analysis:** Learns normal topology behavior, flags unexpected connections and traffic anomalies, provides infrastructure recommendations, and answers questions about the environment in plain language. - **Stack integrations:** Feeds dependency data into ITSM, monitoring, segmentation, and security tools through dedicated modules for each use case. **Limitations (as reported by users on**[ **G2**](https://www.g2.com/products/faddom/reviews)**):** - **Duplicate hostnames:** Some users note that a single server can occasionally appear with more than one hostname. - **Initial learning curve:** Some users mention it takes time to learn where certain features and configuration options are located. - **vSphere deployment requirements:** In vSphere environments using standard vSwitches, additional virtual machines may be needed for each ESXi host. #### 2. Device42 ![](https://faddom.com/wp-content/uploads/2026/11/d4aa4fb6-99a5-4e46-8e3e-b25777b1d01a-300x150.png) **Best for:** Enterprises needing discovery, CMDB, and DCIM in one platform **Strengths:** Agentless hybrid discovery with built-in ADM, IPAM, and CMDB **Things to consider:** Setup and navigation can feel complex for smaller teams Device42, a Freshworks company, is a discovery, asset management, and dependency mapping platform for data center and cloud infrastructure. It combines agentless infrastructure discovery with a configuration management database (CMDB), IT asset management, and data center infrastructure management (DCIM). Discovery covers environments ranging from legacy mainframes to cloud containers. The platform also includes IP address management, SSL certificate management, software license management, password management, and reporting dashboards built on discovered data. **Key features include:** - **Hybrid infrastructure discovery:** Discovers physical servers, virtual machines, storage systems, and network devices. Cloud discovery covers AWS, Microsoft Azure, Google Cloud, and Kubernetes environments. - **Application dependency mapping:** Built-in ADM visualizes relationships between assets and groups discovered workloads by application affinity, including automatic move groups for migrations. - **Configuration management database:** Maintains a continuously updated CMDB. EnrichAI uses third-party sources to standardize, normalize, and enrich configuration item data. - **Data center documentation:** Documents server room layouts, rack diagrams, patch panel cabling, and spare parts as part of its DCIM capabilities. - **IP address and certificate management:** Includes IPAM for centralized IP visibility and discovers and tracks SSL certificates. - **Reporting and natural language queries:** Insights+ provides dashboards based on discovered data, and InsightsAI converts natural language questions into SQL queries. - **Integrations and API:** Offers 30+ integrations, including ServiceNow, Jira, Freshservice, and Splunk, plus a RESTful API for extracting or injecting data. **Limitations (as reported by users on**[ **G2**](https://www.g2.com/products/device42-device42/reviews)**):** - **Setup complexity:** Initial setup and navigation can feel complex, particularly for smaller teams. - **ITIL alignment:** Some users would like the platform to align more closely with ITIL practices in certain areas. - **Database load at scale:** Users running large deployments would like options such as an external database to offload the appliance VM during high request volumes. ![](https://faddom.com/wp-content/uploads/2026/11/d612d248-41e7-4cd2-9c2d-19e05de3831b.png) Source: [Device42](https://www.device42.com/blog/wp-content/uploads/2023/06/image-1-1024x704.png) #### 3. ServiceNow Discovery and Service Mapping ![](https://faddom.com/wp-content/uploads/2026/11/bf508d97-c75b-4ec3-b4cf-23586ba756ea-300x45.png) **Best for:** Large enterprises standardized on ServiceNow CMDB and ITOM **Strengths:** Agentless and event-driven discovery feeding a single CMDB **Things to consider:** Sold within ITOM; implementation often relies on partners ServiceNow Discovery and Service Mapping are applications within ServiceNow IT Operations Management (ITOM). Discovery identifies hardware, applications, cloud resources, and containers across on-premises, cloud, and hybrid infrastructure, and records them in the ServiceNow CMDB. Service Mapping uses discovery data to map relationships between applications, IT components, and cloud services. The resulting service maps update automatically when a change is detected, giving operations teams a service-level view of the infrastructure. **Key features include:** - **Agentless automated discovery:** Discovers infrastructure and applications on premises, in the cloud, and in containerized environments without agents. - **Event-driven discovery:** Receives configuration events from multiple cloud environments as they happen, keeping records current between scheduled scans. - **Client-based visibility:** Uses a unified agent (Agent Client Collector) to cover common discovery gaps such as domain controllers, DMZs, and endpoints. - **Application fingerprinting:** A content service uses AI-powered application fingerprints to identify technologies running in the environment. - **Machine learning service mapping:** Generates service maps using tag-based, top-down, and traffic-based methods. - **Automatic map updates:** Service maps update whenever a change is detected, and out-of-the-box support covers popular cloud platforms. - **CMDB integration:** Discovery and mapping results populate the ServiceNow CMDB, and certified Service Graph Connectors bring in data from third-party sources. **Limitations (as reported by users on**[ **PeerSpot**](https://www.peerspot.com/products/servicenow-discovery-pros-and-cons)**):** - **Implementation effort:** Discovery is not plug-and-play, and results depend heavily on the capability of the implementation partner. - **Reporting:** Building custom reports can be challenging, and some users find the reporting interface less friendly than other tools. - **Licensing cost:** Users consider the licensing expensive, especially for smaller organizations. - **Troubleshooting:** Diagnosing the cause when discovery fails can be difficult. - **Device classification:** Printer discovery is limited, and server or workstation classification depends on the OS, which can lead to mislabeling. ![](https://faddom.com/wp-content/uploads/2026/11/f3cda3e9-240c-4a14-9fa5-3c14f18b9e61.png) Source: [ServiceNow](https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/images/ds-backgrounds/itom-bg.sm.jpg) #### 4. Lansweeper ![](https://faddom.com/wp-content/uploads/2026/11/39c20c2c-5614-4e5e-9b9f-404b7e15f61f-300x69.png) **Best for:** Validated asset inventory across IT, OT, cloud, and IoT **Strengths:** Multiple discovery methods with ML device fingerprinting **Things to consider:** Cloud and on-prem editions differ in features Lansweeper is a cyber asset intelligence platform that discovers and inventories managed, unmanaged, and shadow assets across IT, OT, cloud, and IoT environments. It runs separate discovery systems for on-network devices, off-network laptops, and cloud resources, then reconciles the results into a single record per asset. Asset records can be enriched with lifecycle, vulnerability, and risk context and delivered to ITSM, CMDB, and security tools. The platform also detects configuration drift and verifies security control coverage across the estate. **Key features include:** - **Multi-method discovery:** Uses three discovery systems covering the network (including OT), off-network laptops, and cloud. Passive detection runs by default, so devices appear even if they do not respond to scans. - **Credential-free identification:** Machine learning fingerprints each device against a library of 175M+ devices to return manufacturer, model, and OS without credentials. - **Record reconciliation:** Matches devices found by multiple systems on MAC address, serial number, and hostname (not IP) and merges them into one record that lists every contributing source. - **Continuous validation:** Evaluates new scan results against existing records continuously, so a device that moves to a new IP address remains the same asset. - **Coverage and drift detection:** Verifies security control coverage, detects configuration drift, and surfaces exposed assets. - **Enrichment and data delivery:** Normalizes duplicate records, adds lifecycle and vulnerability context, and sends asset data to tools such as ServiceNow, Jira Service Management, Freshservice, and Splunk. - **Remediation workflows:** Converts security findings into scoped IT remediation tasks with ownership and end-to-end tracking. **Limitations (as reported by users on**[ **G2**](https://www.g2.com/products/lansweeper/reviews)**):** - **Cloud and on-premises gaps:** Some features available on premises are missing in the cloud version, and synchronization between the two is not always reliable. - **Custom reporting:** Creating custom reports in the on-premises version requires SQL and database knowledge. - **Pricing changes:** Some users report price increases and a push toward the cloud version. - **Support responsiveness:** Some users report that support requests are not always resolved satisfactorily. - **Interface density:** The UI can be slow at times, and the amount of information displayed can feel overwhelming. ![](https://faddom.com/wp-content/uploads/2026/11/bed58a2e-81ca-4e4b-884e-374f18f501a7.png) Source: [Lansweeper](https://cdn-website.lansweeper.com/wp-content/uploads/Lansweeper-Dashboard-All-Assets-1366x768-1-1.png.webp) ### IT Documentation and Network Mapping Platforms #### 5. IT Glue ![](https://faddom.com/wp-content/uploads/2026/11/02390711-3239-476b-9c0f-f7021945c704-300x121.png) **Best for:** MSPs and IT teams documenting assets, passwords, and SOPs **Strengths:** Relationship mapping, password vault, AI-generated SOPs **Things to consider:** Network discovery requires the Network Glue add-on IT Glue, a Kaseya company, is an IT documentation platform for storing assets, configurations, passwords, contacts, and standard operating procedures (SOPs) in a structured format. Documentation items can be linked so related information appears together. The platform integrates with PSA, RMM, Microsoft, and backup tools to document assets automatically. Automated network discovery, documentation, and diagramming are provided through Network Glue, a separate add-on. **Key features include:** - **Structured documentation:** Provides a documentation framework, template library, and flexible assets for tracking any asset type in a consistent format. - **Relationship mapping:** Links related items such as configurations, passwords, and contacts. Smart Relate automatically links Microsoft Intune devices with Microsoft 365 users. - **SOP generation:** Captures clicks, keystrokes, and actions as technicians work and generates step-by-step SOPs automatically. - **Password management:** Includes a password vault with an immutable audit trail, offline access, and scheduled or on-demand rotation of Active Directory, Entra ID, and Microsoft 365 passwords. - **Network Glue add-on:** Automates network discovery (including SNMPv3), documentation, and diagramming, and documents Active Directory data. - **Integrations:** Offers 60+ native integrations with PSA, RMM, and BDR platforms, plus a public API, and auto-documents sources such as Datto Networking, Microsoft Intune, and Datto BCDR. - **Version control and audit:** Supports version control with rollback, an audit trail with restore, domain and SSL tracking, and automated account backups. **Limitations (as reported by users on**[ **G2**](https://www.g2.com/products/it-glue/reviews)**):** - **Performance with large datasets:** The platform can be slow when loading large organizations or navigating heavily populated documentation sets. - **Search precision:** Search can return irrelevant results unless exact keywords are used. - **Interface and permissions complexity:** The interface can feel cluttered in large environments, and permission settings can be complex. - **Network Glue reliability:** Some users report difficulties getting Network Glue to work properly in their environment. - **Per-user cost:** The monthly per-user pricing is considered high, particularly for smaller teams. ![](https://faddom.com/wp-content/uploads/2026/11/d1cb59d3-79b5-4a83-a6a1-80a2803c0435.png) Source: [IT Glue](https://www.itglue.com/wp-content/uploads/passwords-test-1-1-1024x561.png) #### 6. Hudu ![](https://faddom.com/wp-content/uploads/2026/11/c4057cf4-f415-43d8-be34-35f50f624b41-300x84.png) **Best for:** IT teams wanting docs, assets, and passwords in one tool **Strengths:** Structured docs, IPAM, checklists, and client sharing **Things to consider:** Network discovery requires a separate Hudu Radar license Hudu is an IT documentation platform that keeps knowledge, passwords, assets, and infrastructure details connected in one system. It provides structured documentation, asset tracking with structured forms, a knowledge base, checklists for recurring processes, and IP address management. Integrations sync data from existing tools to keep records current. Automated network discovery is available through Hudu Radar, a separately licensed add-on that scans networks, creates device assets, and builds topology maps inside Hudu. **Key features include:** - **Structured documentation:** Captures processes as technicians work and standardizes documentation formats across the team. - **Asset tracking:** Tracks devices, vendors, and systems using structured forms that can be customized for each asset type. - **Password management:** Stores, shares, and audits credentials with built-in access controls. - **Knowledge base and checklists:** Hosts searchable how-to guides and turns recurring processes into repeatable, trackable checklists. - **IP address management:** Visualizes networks, subnets, and IP usage in one place. - **Integrations and network discovery:** Connects existing tools so data stays current, and Hudu Radar discovers networks and devices, updates IP records, and generates network topology views. - **Client sharing:** Gives clients limited access to selected information without exposing internal systems. **Limitations (as reported by users on**[ **G2**](https://www.g2.com/products/hudu/reviews)**):** - **Search experience:** Some users find search frustrating and would like a unified search bar. - **Integration gaps:** Users note missing integrations, such as multi-tenant Microsoft 365 support. - **Interface design:** Some users find the UI dated and clunky at times. - **End-user portal:** Items must be enabled manually for the end-user portal. - **File handling:** Word documents cannot be uploaded directly as documentation. ![](https://faddom.com/wp-content/uploads/2026/11/b067c784-e49d-473a-820a-eabbe0b4eecb.png) Source: [Hudu](https://cdn.sanity.io/images/m9nc5zi7/production/c972e10341fb83175e8b7ab13530d700b00e3c88-2362x1246.webp) #### 7. Auvik ![](https://faddom.com/wp-content/uploads/2026/11/5074ff93-5ad3-44a9-9a9e-1e1d64f33011-300x157.png) **Best for:** Network teams and MSPs needing automated network maps **Strengths:** Live topology maps, config backups, 700+ vendors supported **Things to consider:** Network-focused; per-device pricing can add up Auvik is a cloud-based network management platform that discovers network devices, maps how they connect, and monitors their performance in real time. It automates network inventory and documentation and keeps a history of device configurations as they change. The platform supports switches, firewalls, routers, and controllers from 700+ vendors out of the box, collecting data via SNMP, NetFlow, SSH, and vendor APIs. It also provides traffic analysis, preconfigured alerts, and AI-guided troubleshooting. **Key features include:** - **Automated discovery and inventory:** Builds an inventory of network devices automatically, removing the need for spreadsheets or manual wire tracing. - **Live network mapping:** Updates topology maps in real time as the network changes, with drill-down into traffic and performance details for each device. - **Configuration management:** Backs up device configurations automatically, keeps a full change history, and supports version comparison and recovery. - **Real-time monitoring and alerts:** Monitors devices and connections continuously, with 64+ preconfigured alerts displayed on the live network map. - **Traffic analysis:** Shows traffic flows, who is on the network, and where traffic is going, including encrypted traffic. - **AI troubleshooting and lifecycle insights:** Analyzes network data to identify likely root causes and flags aging hardware that may need replacement. - **APIs and integrations:** The Inventory API pulls device names, IP addresses, interfaces, firmware versions, and configurations, with integrations including IT Glue, ServiceNow, and ConnectWise. **Limitations (as reported by users on**[ **G2**](https://www.g2.com/products/auvik-networks/reviews)**):** - **Pricing model:** Pricing is based on the number of billable devices, which some users find expensive. - **Licensing clarity:** Some users find it hard to understand exactly what they are being charged for. - **Map customization:** Options for adjusting map visuals are limited. - **Device coverage:** Users cite limitations with some device types as a recurring issue. ![](https://faddom.com/wp-content/uploads/2026/11/743e09e8-76d0-41da-873b-3291937325eb.png) Source: [Auvik](https://www.auvik.com/wp-content/uploads/2015/04/Auvik-Screenshot-laptop-full-size.png) ## Conclusion Ongoing IT documentation software helps teams maintain accurate records as infrastructure, applications, networks, and configurations change. Organizations should evaluate solutions based on automated asset discovery, dependency mapping, change detection, infrastructure visualization, hybrid environment coverage, and integration with existing IT systems. Effective documentation should reduce manual maintenance while giving teams current information for troubleshooting, migrations, audits, security reviews, and day-to-day operations.