Nagios XI and New Relic are major players in network and application monitoring. New Relic tends to have an edge with its advanced features, while Nagios XI attracts users with its pricing and support benefits.
Features: Nagios XI is adaptable for network monitoring with robust alerting and an extensive range of open-source plugins. It offers significant customization options for user-specific monitoring needs. New Relic provides superior real-time performance monitoring, offering advanced analytical capabilities. Its features are more sophisticated for application monitoring, offering a more comprehensive toolset.
Room for Improvement: Nagios XI users often want more modernized reporting and streamlined setup processes. Its interface can seem complex to newcomers. New Relic can be difficult to learn initially, and many users look for better cost management within its pricing structure. Both products have specific areas that can be refined for enhanced user experience.
Ease of Deployment and Customer Service: Nagios XI’s deployment can be intricate and manual, posing a challenge for new users, but its customer support is notably responsive and helpful. New Relic simplifies initial setup with a cloud-based architecture, offering a more seamless deployment. However, its support may not be as responsive as that of Nagios XI.
Pricing and ROI: Nagios XI is seen as cost-effective with a lower setup cost, suiting those on tighter budgets. New Relic, despite its higher cost, provides significant ROI through expansive analytics tools and scalability, which many users find worth the expense.
The GUI could be improved. It's a bit too basic.
We are using the free, open-source version.
The alerting system is very effective.
Juniper Mist Premium Analytics is a comprehensive network analytics solution that provides organizations with valuable insights into their network performance and user experience. The primary use case of this product is to enable IT teams to proactively monitor, troubleshoot, and optimize their network infrastructure.
The most valuable functionality of Juniper Mist Premium Analytics is its AI-driven insights and recommendations. Leveraging machine learning algorithms, it analyzes vast amounts of network data to identify anomalies, predict potential issues, and suggest remediation actions. This proactive approach helps organizations minimize network downtime, improve user experience, and optimize network performance.
By providing real-time visibility into network performance, Juniper Mist Premium Analytics helps organizations quickly identify and resolve network issues. It offers detailed analytics on network traffic, application performance, and user behavior, allowing IT teams to pinpoint the root cause of problems and take immediate action. This not only reduces troubleshooting time but also enhances overall network reliability.
Furthermore, Juniper Mist Premium Analytics enables organizations to optimize their network infrastructure. It provides insights into network capacity utilization, application usage patterns, and user behavior, allowing IT teams to make informed decisions about network design, resource allocation, and capacity planning. This helps organizations to ensure that their network is efficiently utilized and can support the growing demands of their users.
Nagios XI provides monitoring of all mission-critical infrastructure components, including applications, services, operating systems, network protocols, systems metrics, and network infrastructure. Third-party add-ons provide tools for monitoring virtually all in-house and external applications, services, and systems.
Nagios XI uses a powerful Core 4 monitoring engine that provides users with the highest levels of server monitoring performance. This high degree of performance enables nearly limitless scalability and monitoring powers.
With Nagios XI, stakeholders can check up on their infrastructure status using the role-based web interface. Sophisticated dashboards enable access to monitoring information and third-party data. Administrators can easily set up permissions so users can only access the infrastructure they are authorized to view.
Nagios XI Benefits and Features
Some of the benefits and top features of using Nagios XI include:
Reviews from Real Users
Nagios XI stands out among its competitors for a number of reasons. Several major ones are its integration options and monitoring abilities, as well as its alerting features.
David P., a senior DevOps engineer at EML Payments Ltd, writes, “We use Nagios as a network discovery tool. We use Nagios to maintain our uptime statistics and to monitor our services. It has allowed us to be much more sophisticated in our monitoring and alerting.”
An IT-OSS manager at a comms service provider notes, “Nagios XI has a custom API feature, and we can expose custom APIs for our integration. This is a great feature.”
New Relic is a powerful tool for optimizing web pages, tracking user behavior, and monitoring application performance. It helps detect anomalies, generate metrics, and create dashboards for synthetics monitoring, container workloads, stress tests, and more.
New Relic provides organizations with comprehensive insights into APIs, infrastructure, and scalability. It supports mobile and web applications with features like java tracking, health maps, customizable dashboards, and drill-downs. Users benefit from its easy initial setup, accurate alerts, UI monitoring, error tracking, and traceability. New Relic supports multiple ecosystems with straightforward pricing and new feature introductions, offering end-to-end monitoring, thorough data analysis, and effective problem resolution.
What are New Relic's most important features?New Relic is leveraged in industries such as e-commerce, finance, and technology. It helps monitor web traffic, evaluate load balancing, and ensure applications meet performance standards. Companies use it for stress tests, container-based workloads, API monitoring, and infrastructure management. Its integration capabilities are valuable for maintaining performance and scalability across diverse ecosystems, aiding in thorough data analysis and problem resolution.
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