Best Network Monitoring Software for GitLab

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 more

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.

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.

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.

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.