Best Network Monitoring Software for GitLab
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Compare the Top Network Monitoring Software that integrates with GitLab as of October 2025
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This a list of Network Monitoring software that integrates with GitLab. Use the filters on the left to add additional filters for products that have integrations with GitLab. View the products that work with GitLab in the table below.
What is Network Monitoring Software for GitLab?
Network monitoring software is software that tracks and manages the performance, availability, and health of an organization's network infrastructure. These platforms provide real-time monitoring of network devices such as routers, switches, servers, and firewalls to ensure optimal performance and identify potential issues before they impact operations. Network monitoring software typically includes features like alerting, traffic analysis, bandwidth monitoring, and uptime reporting. It helps IT teams detect bottlenecks, security breaches, or failures, allowing them to take corrective action quickly. By providing detailed insights into network traffic and performance, network monitoring software helps ensure smooth network operations, improve efficiency, and minimize downtime. Compare and read user reviews of the best Network Monitoring software for GitLab currently available using the table below. This list is updated regularly.
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1
Paessler PRTG
Paessler GmbH
Paessler PRTG is an all-inclusive monitoring software solution developed by Paessler. Equipped with an easy-to-use, intuitive interface with a cutting-edge monitoring engine, PRTG optimizes connections and workloads as well as reduces operational costs by avoiding outages while saving time and controlling service level agreements (SLAs). The solution is packed with specialized monitoring features that include flexible alerting, cluster failover solution, distributed monitoring, in-depth reporting, maps and dashboards, and more. PRTG monitors your entire IT infrastructure. All important technologies are supported: • SNMP: ready-to-use and custom options • WMI and Windows Performance Counters • SSH: for Linux/Unix and macOS systems • Traffic analysis using flow protocols or packet sniffing • HTTP requests • REST APIs returning XML or JSON • Ping, SQL, and many moreStarting Price: $2149 for PRTG 500 -
2
Dynatrace
Dynatrace
The Dynatrace software intelligence platform. Transform faster with unparalleled observability, automation, and intelligence in one platform. Leave the bag of tools behind, with one platform to automate your dynamic multicloud and align multiple teams. Spark collaboration between biz, dev, and ops with the broadest set of purpose-built use cases in one place. Harness and unify even the most complex dynamic multiclouds, with out-of-the box support for all major cloud platforms and technologies. Get a broader view of your environment. One that includes metrics, logs, and traces, as well as a full topological model with distributed tracing, code-level detail, entity relationships, and even user experience and behavioral data – all in context. Weave Dynatrace’s open API into your existing ecosystem to drive automation in everything from development and releases to cloud ops and business processes.Starting Price: $11 per month -
3
StatusGator
Nimble Industries
StatusGator is a status aggregator. We aggregate the status of more than 1,500 cloud services by collecting data from their official published status pages. This data is then used to help you stay on top of outages. Features: 1. Status pages with the status of all the vendors your team relies on (like AWS, Google Cloud, Zoom, etc.) 2. Customizable and brandable pages can be shared with your employees, team, users, or stakeholders. 3. Instant notification to Slack, Teams, SMS, email, or incident management tools on status change. 4. Historical data for detailed vendor performance analysis.Starting Price: $ 39.99 per month -
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Coralogix
Coralogix
Coralogix is the leading stateful streaming platform providing modern engineering teams with real-time insights and long-term trend analysis with no reliance on storage or indexing. Ingest data from any source for a centralized platform to manage, monitor, and alert on your applications. As data is ingested, Coralogix instantly narrows millions of events down to common patterns for deeper insights and faster troubleshooting. Machine learning algorithms continuously observe data patterns and flows between system components and trigger dynamic alerts so you know when a pattern deviates from the norm without static thresholds or the need for pre-configurations. Connect any data, in any format, and view your insights anywhere including our purpose-built UI, Kibana, Grafana, SQL clients, Tableau, or using our CLI and full API support. Coralogix has successfully completed relevant security and privacy compliances by BDO including GDPR, SOC 2, PCI, HIPAA, and ISO 27001/27701. -
5
effx
effx
The simplest way to navigate and operate your microservices. Whether you only have two or thousands of microservices, effx will track and guide you regardless of orchestration system, public cloud, or on-premise environment. Incidents across a fleet of microservices are rarely simple. effx provides context to help you orient around the potential causes of every outage in real-time. You’ve invested in your ability to know when production breaks. We help you proactively prepare for those moments by scoring services on key attributes that ensure they’re ready. -
6
Selector Analytics
Selector
Selector’s software-as-a-service employs machine learning and NLP-driven, self-serve analytics to provide instant access to actionable insights and reduce MTTR by up to 90%. Selector Analytics uses artificial intelligence and machine learning to conduct three essential functions and provide actionable insights to network, cloud, and application operators. Selector Analytics collects any data (including configurations, alerts, metrics, events, and logs), from various heterogeneous data sources. For example, Selector Analytics may harvest data from router logs, device or network metrics, or device configurations. Once collected, Selector Analytics normalizes, filters, clusters, and correlates metrics, events, and alarms using pre-built workflows to draw actionable insights. Selector Analytics then uses machine learning-based data analytics to compare metrics and events and conduct automated anomaly detection.
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