Best Network Monitoring Software for GitLab

Paessler PRTG is an all-inclusive monitoring solution with an intuitive, user-friendly interface powered by a cutting-edge monitoring engine. It optimizes connections and workloads, reduces operational costs, and prevents outages. It also saves time and controls service level agreements (SLAs). This solution includes specialized monitoring features such as flexible alerting, cluster failover, distributed monitoring, maps, dashboards, and in-depth reporting.

StatusGator delivers timely information about critical dependencies so that DevOps, IT Help Desk, and Education teams can stay on top of downtime and react proactively. Features: Aggregated status pages with data from all your cloud vendors. Notifications on any status changes to Slack, Teams, SMS, and more.

Coralogix is the most popular stateful streaming platform, providing engineering teams with real-time insight and long-term trend analysis without relying on storage or indexing. To manage, monitor, alert, and manage your applications, you can import data from any source. Coralogix automatically narrows the data from millions of events to common patterns, allowing for faster troubleshooting and deeper insights. Machine learning algorithms constantly monitor data patterns and flows among system components and trigger dynamic alarms to let you know when a pattern is out of the norm without the need for static thresholds or pre-configurations. Connect any data in any format and view your insights anywhere, including our purpose-built UI and Kibana, Grafana as well as SQL clients and Tableau. You can also use our CLI and full API support. Coralogix has successfully completed the relevant privacy and security compliances by BDO, including SOC 2, PCI and GDPR.

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 machine learning and artificial intelligence to perform three essential functions and provide actionable insight to network, cloud, or application operators. Selector Analytics can collect any data, including configurations, alerts and metrics, events, logs, and logs, from heterogeneous sources. Selector Analytics can harvest data from router logs or device or network metrics. Selector Analytics collects data and normalizes, filters and clusters it. Selector Analytics also uses pre-built workflows that allow for actionable insights. Selector Analytics then uses machine-learning-based data analytics to analyze metrics and events and detect anomalies.

This is the easiest way to manage and navigate your microservices. No matter how many microservices you have, effx can track and guide them regardless of whether they are in the public cloud, on-premise or orchestration system. It is not easy to have an incident involving a number of microservices. The context provided by effx allows you to see the potential causes of any outage in real time. You have invested in your ability know when production stops. We help you prepare for those moments by scoring services that focus on key attributes that will ensure they are ready.