What is Network Observability?

Observability is the ability to monitor and analyze data from a network or system. This helps us gain insights into our systems and networks, allowing us to identify problems before they occur.

Modern businesses rely on their network infrastructure to function efficiently, and the problem is that these networks often contain sensitive information that should remain private. You can access all the data traveling across your network without compromising privacy by using network monitoring tools.

What is Network Observability?

Network observability is gathering information from a network device by using various methods that help understand what is going on within the network. It includes capturing packets, analyzing packet content, and examining protocol headers. The term “observability” comes from the fact that you have to be able to observe something to make sense of it. For example, if you want to understand why a particular host is not responding to ping, you must first be able to observe the connection attempt. Similarly, when you want to understand the behavior of an application, you must be able to capture its communications.

How Does Network Observability Work?

Network observability works by capturing packets and analyzing them. Packets contain information about the sender, receiver, protocol used, size, time, etc. These records are stored in a database for later analysis.

The most common way to collect network observability data is via packet sniffers. Packet sniffers are software programs that intercept packets and record all data passing over a network interface. They gather information about network protocols and identify individual hosts. To use a packet sniffer effectively, you should configure it to log only the relevant packets. You can then examine the captured packets later to determine what information they contain.

There are many types of packet sniffers available today. Some are designed to run on top of operating systems like Windows, Linux, macOS, etc., while others are standalone utilities that do not require additional software. Examples include Wireshark, tcpdump, Ettercap, Snort, Bro, Netflow, etc.

Network Observability vs. Network Monitoring

Network monitoring primarily tracks the health, availability, and performance of network devices and connections. It typically uses metrics such as bandwidth utilization, latency, packet loss, device status, CPU usage, and uptime to identify performance issues. Network observability goes further by collecting and correlating data from multiple telemetry sources, including packets, flows, logs, metrics, traces, DNS data, and application activity, to provide deeper context about why an issue is occurring.

The main difference is visibility and analysis. Network monitoring can alert an IT team to high latency or packet loss, while network observability helps investigate the underlying cause by correlating network, application, and infrastructure data. This makes observability particularly useful for complex environments such as hybrid cloud, multi-cloud, distributed applications, and remote or highly connected enterprise networks.

In practice, network monitoring and observability complement each other rather than compete. Monitoring provides continuous visibility into network health, while observability adds deeper context that helps IT teams understand dependencies, investigate incidents, identify root causes, and resolve problems more efficiently.

How does network observability help detect cybersecurity threats?

Network observability helps security teams detect cybersecurity threats by continuously analyzing network traffic, flows, packets, logs, DNS activity, and other telemetry to identify abnormal behavior. It can reveal unusual traffic volumes, unexpected connections, suspicious destinations, abnormal login patterns, and communication that differs from established network baselines. By correlating data across users, devices, applications, and network segments, security teams can investigate potential threats with greater context.

Network observability also helps detect lateral movement and command-and-control (C2) communication. For example, repeated connections to suspicious external servers, unusual east-west traffic between internal systems, unexpected remote access, or periodic beaconing can indicate that an attacker or compromised endpoint is communicating with malicious infrastructure. Monitoring encrypted traffic metadata, such as connection timing, destination, volume, and session behavior, can provide additional visibility without necessarily requiring inspection of the encrypted payload.

It can also help identify data exfiltration by detecting unusual outbound transfers, unexpected destinations, and abnormal data volumes. When observability platforms correlate network telemetry with threat-intelligence feeds, endpoint data, and security logs, they help security teams detect suspicious activity earlier, investigate potential compromises, and prioritize threats for response.

What data does network observability collect?

Network observability collects telemetry from multiple sources to provide a complete view of network and application behavior. Packet data provides detailed information about network communications, while flow data shows traffic patterns between devices, including source, destination, protocol, volume, and timing. Logs and metrics provide information about network events, device health, bandwidth utilization, latency, errors, and availability.

Other important data sources include distributed traces, DNS queries, device telemetry, and application data. Traces help identify how requests move across applications and services, while DNS data can reveal domain lookups and suspicious destinations. Device telemetry from routers, switches, firewalls, servers, and other infrastructure provides operational context, while application data helps correlate network behavior with application performance and user activity.

By combining packets, flows, logs, metrics, traces, DNS data, device telemetry, and application data, network observability platforms can correlate events across different layers of the environment. This broader telemetry helps IT and security teams troubleshoot performance issues, identify root causes, detect anomalous behavior, investigate security threats, and understand dependencies across complex network infrastructures.

Key Components of Network Observability

A complete network observability strategy consists of several connected components that turn raw network telemetry into actionable insights:

• Telemetry Collection: Collects packets, flows, logs, metrics, traces, DNS data, device information, and application telemetry from across the environment.
• Data Aggregation: Combines and normalizes telemetry from different network devices, infrastructure, cloud environments, and applications for centralized analysis.
• Analytics: Correlates telemetry to identify performance problems, unusual behavior, dependencies, security threats, and potential root causes.
• Visualization: Uses dashboards, service maps, traffic views, and performance charts to make network and application behavior easier to understand.
• Alerting: Generates alerts when it detects performance thresholds, anomalies, connectivity issues, or suspicious security events.
• Automated Response: Triggers predefined actions such as blocking malicious traffic, isolating affected systems, opening incident tickets, or initiating remediation workflows.

Together, these components provide end-to-end network visibility, helping IT teams move beyond detection to understand the cause, impact, and appropriate response.

What network observability tools are used by enterprise IT teams?

Enterprise IT teams use a combination of network performance monitoring and diagnostics (NPMD), network traffic analysis (NTA), packet analysis, flow monitoring, SIEM, application performance monitoring (APM), cloud monitoring, and observability platforms to gain visibility across network and application environments. Each category provides different levels of telemetry and analysis, allowing teams to investigate performance issues, security events, and application dependencies.

• NPMD/NTA platforms: Monitor network performance, traffic behavior, latency, packet loss, bandwidth utilization, and unusual traffic patterns.
• Packet analysis tools: Inspect packets and protocol information to troubleshoot connectivity, application, and performance issues.
• Flow monitoring tools: Analyze NetFlow, sFlow, IPFIX, and similar flow records to understand traffic sources, destinations, volumes, and patterns.
• SIEM platforms: Correlate network, security, endpoint, and system logs to identify suspicious activity and security incidents.
• APM tools: Monitor application performance and trace transactions across applications, services, and infrastructure.
• Cloud monitoring tools: Provide visibility into cloud networks, workloads, services, traffic, and resource performance across public, private, and hybrid cloud environments.
• Observability platforms: Combine metrics, logs, traces, network telemetry, and application data to provide centralized visibility and support root-cause analysis.

For enterprise environments, the most effective approach is usually to combine multiple tool categories rather than depend on a single platform. Integrating network, application, cloud, and security telemetry gives IT teams broader visibility, improves troubleshooting, supports threat detection, and helps identify the root cause of complex issues across distributed infrastructure.

What Types of Devices Should Be Used for Network Observability?

There are several ways of collecting information about the network, and some are better suited for specific tasks, while others are good. Let’s take a look at some of them:

1. Sniffing – This is probably the simplest way of getting information about the network. However, it requires installing software on every host involved in the communication process. Thus, it is not suitable for large networks with thousands of hosts.
2. Logging – Logging provides detailed information about the network. The downside is that it is very slow and thus unsuitable for real-time analysis.
3. Monitoring – Monitoring collects information from multiple sources at once. For example, if you have a web server running on your network, you can set up a monitoring agent to collect information about the server.
4. Tracing is similar to logging, but it runs faster than logging. In addition, tracing captures packets before they reach their destination. Thus, we don’t lose any information.
5. Packet capture – Packet capture is usually done using specialized hardware. This means that it is fast and accurate. However, packet capture is more expensive than other methods.

Benefits of Network Observability

There are many benefits associated with network observability. Here are some of the top ones:

1. Security – As mentioned earlier, network observability allows us to detect malicious activities taking place in the network. This allows us to block threats before they reach our systems.
2. Performance – The network is one of the most critical components of any system. Therefore, having visibility into its behavior is extremely valuable.
3. Reliability – When we have visibility into the network, we can easily spot potential failures. For example, if we notice that certain hosts are experiencing connectivity problems, we can take action immediately.
4. Availability – Having visibility into the network makes it easier to ensure high availability. With network observability, we can easily find out where the bottleneck lies. Once we identify the bottleneck, we can address the issue and prevent downtime.
5. Scalability – Network observability allows us to scale the network without hassle. It is relatively easy to add additional capacity by simply adding more servers.
6. Cost-effectiveness – Network observability doesn’t require expensive hardware. You need a server or two, and you can even run it on virtual machines.
7. Flexibility – Network observability has no limits. You can configure it however you like. There are no restrictions.

When Should I Use Network Observability?

There are many situations where you would like to use network observability. One of the reasons is to troubleshoot connectivity issues. If you have a web server that doesn’t respond to incoming requests, you can try to figure out why. To do this, you can use a packet sniffer to capture the traffic going across the network.

Once you know where the issue lies, you can fix it. Another reason to use network observability is to improve the reliability of your network. If you detect that some component isn’t working properly, you can check its logs and run tests to make sure everything is functioning correctly.

In Conclusion, Using network observability will give you more insight into the behavior of the network. As a result, you can identify potential problems before they become serious. In addition, you can also learn about the different protocols used in the network.

Ensure that your systems remain safe and secure with our Network Monitoring Services to save time and cost.