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.

The Dynatrace software intelligence platform revolutionizes the way organizations operate by offering a unique combination of observability, automation, and intelligence all within a single framework. Say goodbye to cumbersome toolkits and embrace a unified platform that enhances automation across your dynamic multicloud environments while facilitating collaboration among various teams. This platform fosters synergy between business, development, and operations through a comprehensive array of tailored use cases centralized in one location. It enables you to effectively manage and integrate even the most intricate multicloud scenarios, boasting seamless compatibility with all leading cloud platforms and technologies. Gain an expansive understanding of your environment that encompasses metrics, logs, and traces, complemented by a detailed topological model that includes distributed tracing, code-level insights, entity relationships, and user experience data—all presented in context. By integrating Dynatrace’s open API into your current ecosystem, you can streamline automation across all aspects, from development and deployment to cloud operations and business workflows, ultimately leading to increased efficiency and innovation. This cohesive approach not only simplifies management but also drives measurable improvements in performance and responsiveness across the board.

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.

Effx offers an effortless approach to managing and navigating your microservices architecture. No matter if your setup consists of just a couple or a vast number of microservices, effx will monitor and assist you, whether you're using a public cloud, an orchestration system, or an on-premises solution. Handling incidents across a collection of microservices can often be complicated. With effx, you gain valuable context that allows you to pinpoint potential causes of outages in real-time effectively. You've made significant investments to be aware of any production disruptions. Our platform enhances your preparedness by evaluating services based on critical attributes that ensure their operational readiness, ultimately empowering your team to respond swiftly and efficiently.

Selector’s software-as-a-service leverages machine learning and natural language processing to deliver self-service analytics that facilitate immediate access to actionable insights, significantly decreasing mean time to resolution (MTTR) by as much as 90%. This innovative Selector Analytics platform harnesses artificial intelligence and machine learning to perform three critical functions, equipping network, cloud, and application operators with valuable insights. It gathers a wide array of data—including configurations, alerts, metrics, events, and logs—from diverse and disparate data sources. For instance, Selector Analytics can extract data from router logs, device performance metrics, or configurations of devices within the network. Upon gathering this information, the system normalizes, filters, clusters, and correlates the data using predefined workflows to generate actionable insights. Subsequently, Selector Analytics employs machine learning-driven data analytics to evaluate metrics and events, enabling automated detection of anomalies. In doing so, it ensures that operators can swiftly identify and address issues, enhancing overall operational efficiency. This comprehensive approach not only streamlines data processing but also empowers organizations to make informed decisions based on real-time analytics.