Best Network Monitoring Software for Zabbix

AI Agents can’t manage your network without context. NetBrain delivers it. NetBrain provides a proven, safe path to Agentic NetOps, backed by an AI-powered platform informed by network context, real customer outcomes, and enterprise network expertise.

Ensure smooth operations of core systems such as ERP, WMS, and others based on SQL Server/ Oracle. Through 24/7 automatic analysis, pinpoints in real time the root cause of performance issues in core systems such as ERPs (like SAP, SAP Business One, Infor, Priority, and Microsoft Dynamics) based on SQL Server/ Oracle, on-prime and cloud. 𝗦𝗵𝗼𝗿𝘁 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: 5-minute installation with immediate results. 𝗣𝗿𝗶𝗰𝗶𝗻𝗴: Affordable and Straightforward Its all-inclusive, server-based subscription can be renewed monthly. Unlike other solutions, there are no extra costs such as repository, additional hardware, and analytics costs or complex module-based, usage-based, or feature-based costs. Neither demands a costly setup nor a long-term commitment. 𝗦𝘂𝗽𝗽𝗼𝗿𝘁: Option for DBA Experts managed services. In addition to offering an Automatic 24/7 Monitoring tool for easily identifying performance issues, AimBetter includes the full backup of a team of DBA Experts that supply solutions for more complex issues. 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗦𝗮𝘁𝗶𝘀𝗳𝗮𝗰𝘁𝗶𝗼𝗻: Enterprise and SMB Customers recommended.

PagerDuty, Inc. (NYSE PD) is a leader for digital operations management. Organizations of all sizes rely on PagerDuty to deliver the best digital experience to their customers in an ever-on world. PagerDuty is used by teams to quickly identify and solve problems and to bring together the right people to prevent future ones. PagerDuty's 350+ integrations include Slack, Zoom and ServiceNow as well as Microsoft Teams, Salesforce and AWS. This allows teams to centralize their technology stack and get a holistic view on their operations. It also optimizes processes within their toolkits.

Better Stack is an eBPF-based, AI SRE observability tool that helps you ship high-quality software faster. Monitor everything from websites to servers. Schedule on-call rotations, get actionable alerts, and resolve incidents faster than ever. Visualize your entire stack, aggregate all your logs into structured data, and query everything like a single database with SQL. Made to fit into your workflow with over 100+ integrations. Seamlessly integrates into your workflow with 100+ integrations.

Elecard Boro is a professional software solution designed to monitor video stream health and track QoS/QoE parameters across distributed networks. By providing centralized access to statistics and automated reporting, Boro enables telecom professioals to build a powerful monitoring ecosystem from scratch or easily scale existing infrastructure to ensure flawless broadcast quality. How it works: Boro utilizes distributed software probes to monitor UDP, RTP, HTTP, HLS, DASH, SRT, and RTMP streams. By aggregating multi-point measurements on a centralized server, operators can instantly isolate quality degradation across the entire delivery chain. The platform provides network-wide visibility and real-time alerts for ETSI TR 101 290 errors via Email, SNMP, Webhook, PagerDuty, and Telegram. Key Features: • Rapid Deployment & Scalability: Launch a monitoring probe in just 30 minutes. Easily scale your infrastructure by adding new probes to the unified Boro ecosystem on any hardware. • Proactive Issue Resolution: Monitor over 50 QoS and QoE parameters (including full ETSI TR 101 290 compliance) and use triggers to localize network anomalies before they impact viewers. • Advanced Diagnostics: Use comprehensive analysis of SCTE-35 ad-insertion cues and PCAP stream recording for in-depth delivery troubleshooting. • Effortless Integration & Access: Access monitoring data from any device via an intuitive web interface. Seamlessly integrate Boro into your existing workflow using WebHook, SNMP, and ControlAPI. • Operational Efficiency: Reduce the workload on QA and network engineers through automated regular reporting, advanced visualization dashboards, and smart threshold tuning that eliminates false alarms.

Automatic discovery, modeling and verification of your network's state provide actionable insights into the state of the network. They also provide evidence that the network is providing the service your business needs. Automatic discovery, modelling, verification, validation of your current network state gives you actionable insights into the state of your system. Plan changes before they happen and verify that the network behaves as you expected after the change. Verify that the actual network state aligns with your intentions, as contained in your source-of-truth. A single, accurate, and consistent view of your network across on-prem instances and cloud instances allows continuity between the network and cloud teams. IP Fabric data can be accessed anywhere using our open API. The snapshots at a specific time are the best way to compare your network day-to-day. Eliminate tedious, time-consuming and error-prone workflows.

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.