네트워크 성능 모니터링이란?

네트워크 성능 모니터링(NPM)과 애플리케이션 모니터링(APM)을 통해 비즈니스 어플리케이션의 품질과 성능을 저하시키는 요인을 방지하기 위해 네트워크 성능 검사와 트래픽을 시뮬레이션하고 응답 시간을 추적합니다. 이를 통해 엔지니어는 어플리케이션 및 네트워크의 문제를 신속하게 파악하고 문제를 해결할 수 있습니다.

합성 네트워크 성능 모니터링을 통한 중단 최소화

합성 네트워크 성능 모니터링(NPM)과 어플리케이션 성능 모니터링(APM) 도구는 실제 트래픽을 시뮬레이션하고 네트워크, 웹 사이트, 어플리케이션에서 응답 시간을 추적하여 사용자보다 먼저 문제를 발견할 수 있습니다.

합성 모니터링이란?

라이브 네트워크와 어플리케이션 트래픽에 의존하는 실제 사용자 모니터링(RUM) 도구와는 다르게, 합성 모니터링 도구는 시뮬레이션된 어플리케이션 트래픽을 생성하고 네트워크 및 어플리케이션으로 전송한 후 의도한 목적지에 도달하는 데 소요되는 시간을 측정합니다. 계속 반복되는 테스트를 통해 네트워크 운영 및 어플리케이션 딜리버리 팀은 다양한 조건에서 QoE와 서비스 품질(QoS)을 모니터링하여 서비스 품질 저하, 네트워크 / 어플리케이션 지연, 병목 현상 관련 위치를 정확하게 파악할 수 있습니다.

어플리케이션 및 네트워크 성능 모니터링 소프트웨어 관련 자주 묻는 질문

What is network performance monitoring (NPM)?

Network performance monitoring (NPM) tools enable you to visualize, monitor, troubleshoot, and maximize a given network's performance, availability, and quality of service.

These tools operate one of two ways: reporting live network traffic or generating synthetic traffic and sending it across the network to various hardware- or software-based endpoints. Frequently, these tools display critical metrics and KPIs such as packet loss, jitter, delay, response time, and mean opinion score. A highly-visual, real-time dashboard utilizing AI or machine learning makes it easy for network operations teams to identify outliers and potential issues to follow up on.

What is application performance monitoring (APM)?

Application performance monitoring (APM) tools enable IT personnel and DevOps teams to ensure enterprise and customer-facing applications meet users' expected performance, reliability, and user experience (UX) goals.

APM tools generally fall into one of two categories: real user monitoring (RUM) or synthetic monitoring. RUM platforms capture and report on traffic metrics and performance checks derived from real application users — providing real-time insights into UX and performance. Conversely, synthetic monitoring tools emulate user interactions to benchmark application performance under various conditions and scenarios — enabling operations teams to identify and remediate potential bottlenecks faster.

What is synthetic monitoring?

Traditional monitoring tools rely on actual traffic data, sometimes called passive data. Synthetic monitoring (active monitoring) tools generate simulated application traffic, inject it into your network, and capture key performance indicators. Running simulations lets you observe your network's performance under various conditions and note where performance does not meet expectations.

The process is active because you control the type and mix of applications and the traffic volume in each simulation. Since your monitoring tool is not dependent on live traffic, you can anticipate performance problems and test the impact of potential fixes. You move from being passive and reactive to being proactive.

How can you use synthetic monitoring tools?

Synthetic monitoring is excellent for assessing network readiness before deploying SD-WAN, distributed unified communications, cloud applications, or voice and video services like Microsoft Teams or Zoom. Since these tools rely on simulated traffic to measure response time, quality, or latency, you can predict performance and pinpoint bottlenecks before going live. Moreover, most industry-leading tools offer a library of application signatures — enabling you to build highly accurate tests with the exact type of traffic you expect while varying the volume to model changes in demand.

A flexible monitoring platform lets you simulate traffic from various endpoints across your distributed network, so that you can measure performance in a wide range of operating scenarios. You can test node-to-node connections in a distributed network, validate end-user experience using cloud-based applications, or ensure large-scale network deployments are ready for release.

In addition to pre-deployment and live network assessments, you can also use continuous active monitoring to proactively maintain QoS. Tracking daily simulation results makes it easy to identify deviations from the norm — giving you an early indication of when performance falls below minimum service levels.

다른 도움이 필요하십니까?