{"id":669,"date":"2026-07-15T12:15:39","date_gmt":"2026-07-15T12:15:39","guid":{"rendered":"https:\/\/extnoc.com\/reactapi\/learn\/?p=669"},"modified":"2026-10-23T13:26:26","modified_gmt":"2026-10-23T13:26:26","slug":"observability-vs-monitoring","status":"publish","type":"post","link":"https:\/\/www.extnoc.com\/learn\/networking\/observability-vs-monitoring\/","title":{"rendered":"Observability vs. Monitoring: What’s the difference?"},"content":{"rendered":"

Monitoring network traffic is essential for security purposes, but it is also important for troubleshooting issues, such as performance bottlenecks and application crashes. However, network observability is much more potent than just monitoring network traffic. With network observability, you can discover what is happening inside your network infrastructure<\/a>, which helps you understand how applications work together.<\/p>\n

Monitoring is often confused with network observability. Network Monitoring<\/a> provides real-time visibility into your systems, whereas network observability allows you to see what happened before the system was deployed. This article will discuss observability and Monitoring and the difference between them.<\/p>\n

\"observability<\/p>\n

What is Observability?<\/h2>\n

Network observability is analyzing and understanding the flow of data in a network. This includes all types of data: HTTP requests, DNS queries<\/a>, SMTP messages, etc. The goal is to help developers and administrators understand how their applications interact.<\/p>\n

If an application sends a request and receives no response, you might want to investigate why. By using network observability, you access raw data across the network, and you can use this information to determine whether the problem lies within the application itself or somewhere else.<\/p>\n

Why Do We Need\u00a0 Observability?<\/h2>\n

The main reason we need network observability is to get insight into the behavior of the network. We use network observability to identify problems in the network and determine whether there are any bottlenecks. If there are bottlenecks, then we can either fix them or try to avoid them in the future.<\/p>\n

Another good use case for network observability is when we have multiple applications running on the same host. We may want to know which application is consuming more resources, and we can easily figure out which application is causing the problem by analyzing the network traffic.<\/p>\n

In addition to these uses, network observability also plays a vital role in security. To protect against attacks, we should be able to detect malicious activities<\/a> taking place in the network, and network observability helps us do just that.<\/p>\n

Finally, network observability also helps us troubleshoot issues. If we cannot understand how things work, then we won’t be able to solve problems. So, understanding the network is essential to solving problems.<\/p>\n

How Does Observability Work?<\/h2>\n

The basic principle behind network observability is simple. A device sends information over the network, including details about the host, such as IP addresses, MAC addresses, operating system version, etc.<\/p>\n

The next step is for another device to collect all this information from various sources. This could include logs, SNMP traps, DNS queries, HTTP headers, etc.<\/p>\n

Once all this information is collected, it is analyzed using different techniques. These include statistical analysis, correlation, anomaly detection, and so on.<\/p>\n

Example – You would need to install a sniffer on both hosts to observe traffic. Then you would need to configure the sniffers to send information over the network.<\/p>\n

Afterwards, you would need to use a tool to collect all this information. Finally, you would need to perform analytics on the collected data. This way, you can get a complete picture of how the network behaves.<\/p>\n

Tools for Observability<\/h2>\n

Many different tools are available to help with this task, including Wireshark<\/a>, tcpdump, and Fiddler. These tools provide detailed information about traffic passing between two endpoints. They can be used to analyze HTTP requests and responses, but they can also examine raw packets.<\/p>\n

What is Monitoring?<\/h2>\n

Monitoring is the process of collecting metrics from your infrastructure. Metrics are numerical values that describe aspects of the state of your environment. Examples include CPU utilization, memory usage, disk space, response times, etc. Monitoring provides insight into the health of your IT infrastructure.<\/p>\n

They can help us identify issues before they become problems and understand how well we perform. Network Monitoring tools<\/a> generally send probes across the network to check if something is working properly. The probes are usually configured to collect information about specific aspects of the network. For example, one probe might be configured to measure latency while another probe measures bandwidth. These probes can be configured to run periodically or whenever certain events occur.<\/p>\n

Monitoring allows us to view the health of our networks and applications. Several techniques are used: Examples include:<\/p>\n

    \n
  1. Statistical Analysis<\/strong> \u2013 We can use statistics to compare the behavior of one part of the network against another. By comparing these values, we can determine whether there is any difference in performance. If there is a significant change, then we know that something has gone wrong.<\/li>\n
  2. Correlation<\/strong> \u2013 We can correlate events by looking for patterns in the data. For example, we may notice that their response times increase every time a particular user makes a request. In this case, we can conclude that there must be some problem with the server.<\/li>\n
  3. Anomaly Detection<\/strong> \u2013 We can detect when things go wrong by analyzing the data. When anomalies are detected, we can take action to fix them.<\/li>\n
  4. Application Level Monitoring<\/strong> \u2013 We can use application-level monitoring to track the state of individual applications. For example, we could use application-level metrics to determine which parts of our system are slowest.<\/li>\n
  5. User Experience Metrics<\/strong> \u2013 We can use user experience metrics to understand how users feel about our systems. For example, we can use surveys to ask users why they think our systems are slow. From this, we can improve the quality of our products.<\/li>\n
  6. Security Metrics<\/strong> \u2013 We can also use security metrics to understand how secure our systems are. For example, we might want to know if someone is trying to hack into our systems.<\/li>\n
  7. Performance Metrics<\/strong> \u2013 We can measure the performance of our systems. For example we might want to know how long it takes to load a web page.<\/li>\n<\/ol>\n

    Monitoring allows us to view the status of various components within the network. Some examples include:<\/p>\n