Observability vs monitoring: what’s the difference, and do you need both?

The dashboards are green. Uptime checks are passing, network devices are responding and no alerts have fired. Yet users are reporting slow applications, dropped connections or systems that simply aren’t behaving as they should. The service desk is receiving calls, but the monitoring tools aren’t pointing to an obvious cause.

It’s a familiar situation for teams responsible for keeping an entire IT estate running. The monitoring is doing what it was designed to do: checking known signals and raising alerts when something crosses an agreed threshold. But the problem doesn’t fit neatly into those predefined conditions.

That’s where observability comes in. The difference between observability and monitoring is all about being able to investigate what’s happening across your infrastructure, understand the relationships between different events and work out why a problem has occurred, even when nobody anticipated it.

For network teams and service desks, that distinction can make a real difference to how quickly they resolve incidents and how effectively they manage the technology their organisation depends on.

What monitoring does well

Monitoring is a fundamental part of IT operations. It gives teams visibility of the systems they’re responsible for, and helps them identify faults before they develop into more serious incidents. A monitoring tool might check whether a server is responding, measure network interface utilisation, track device availability or alert a team when CPU usage exceeds a set threshold.

Simple uptime checks, SNMP polling and automated alerts all serve a useful purpose. And they’re particularly effective when the team knows what a problem looks like in advance. If a switch goes offline, a server stops responding or a network link reaches a critical utilisation level, monitoring can flag the issue quickly and consistently.

It also supports routine operational tasks. Your IT team can review performance against expected baselines, check service availability and identify recurring capacity problems. Thresholds can be configured to reflect the needs of different systems, helping staff distinguish routine fluctuations from conditions that need their attention.

For a well-understood infrastructure estate, this is indispensable. Without monitoring, your team would have to rely much more heavily on users reporting problems or discover faults through manual checks. But there’s a limitation: monitoring generally works from questions the team has already anticipated.

A threshold might show that network utilisation has increased, for example, but it may not explain why users in one building are experiencing poor connectivity while others are unaffected. A server may appear healthy even while a downstream service is struggling. Several individual checks may pass even though the overall user experience has deteriorated.

Monitoring tells you where to look when a known condition occurs. Investigating the wider circumstances often requires something more.

What observability adds

Observability builds on monitoring by bringing together context, correlation and history. Instead of looking at each alert or device in isolation, teams can investigate how different events relate to one another and what those relationships reveal about an incident.

Consider a situation where users at a particular site report intermittent connectivity. A monitoring system might show that the network connection is available and that utilisation remains within its usual limits. Nothing appears sufficiently serious to trigger a conventional alert.

An observability approach allows the team to investigate further. Have device configurations changed recently? Did a network event occur shortly before the complaints began? Are other connected devices showing similar symptoms? Is the issue confined to one location, or does it follow a particular connection or dependency? The answers may sit across several sources of information rather than in one obvious fault signal.

Correlation helps connect these clues. Historical data provides another layer of context, allowing teams to compare current behaviour with previous days or weeks and identify gradual changes that a short monitoring window might miss.

This changes the questions an IT team can ask. Rather than simply asking whether a system is available, staff can investigate why it’s slow, what changed before the problem started and which other services or locations might be affected.

It also helps reduce alert noise. When a single underlying fault produces multiple alerts, the team needs to understand the relationship between them rather than investigate every notification as a separate incident. This context can help distinguish the underlying issue from its symptoms.

With observability, we’re not aiming to eliminate alerts. We’re aiming to make the information they provide more useful, so your team can move from detection towards diagnosis and resolution. For a more detailed introduction, see our guide to what observability means.

Observability vs monitoring vs telemetry

To be clear, these three terms are related. But they describe different parts of the same process.

Telemetry is the data generated and transmitted by systems. It can include performance measurements, device events, logs, configuration information and other signals that describe what is happening.

Monitoring uses data to check for known conditions. It compares signals against thresholds or rules and alerts the team when those conditions are met.

Observability is the ability to make sense of the available data and investigate system behaviour. It helps teams connect information from different sources to understand problems, including those that don’t match a pre-defined alert.

In simple terms, telemetry supplies the evidence, monitoring identifies conditions that need attention, and observability helps explain what’s happening and why. All three have a role in effective IT operations. Collecting data without using it provides limited value, while monitoring without enough context can leave teams aware of a problem but unsure how to resolve it.

The three pillars, and why they’re not the whole story

Observability is often explained through three pillars: metrics, logs and traces. These are useful concepts, although their relevance depends on the systems being investigated.

Metrics are numerical measurements taken over time. Examples include network throughput, CPU utilisation, memory consumption, response times and device availability. They help teams understand performance trends and identify unusual behaviour.

Logs are records of events or activities. They can provide details of errors, configuration changes, authentication attempts, system messages and other events that help explain what happened.

Traces follow the path of a request through connected components of an application. They’re particularly useful in distributed software environments, where a single transaction may pass through multiple services.

These pillars are commonly associated with application observability. For teams responsible for networks, endpoints, servers and wider infrastructure, however, they’re not the complete picture.

Network and infrastructure teams also need to understand events, topology, configuration and state. Topology shows how devices and connections relate to one another. Configuration records help establish how systems were set up, while state information indicates their current condition. Events can reveal when something changed or a particular activity occurred.

History matters, too. Knowing that a device is currently operating within its expected limits is useful. Being able to compare its behaviour – with last month, before a configuration change or during a previous incident – can be considerably more revealing.

What observability looks like for networks and infrastructure

Infrastructure observability needs to reflect the complexity of the modern IT estate. That estate may include network switches, routers, firewalls, laptops, servers, cloud infrastructure, operational technology (OT), internet of things (IoT) devices and building management systems.

These environments are often managed through separate tools, each with its own dashboards, alerts and data retention policies. An individual tool may provide a clear view of one part of the estate, but understanding a problem that crosses several systems can mean switching between interfaces and manually piecing together the evidence.

A more joined up approach aims to give teams a clearer view across the infrastructure they manage. For network observability, this means understanding device behaviour, connectivity, performance and the relationships between network components. For infrastructure observability more broadly, it means extending that perspective across the systems and equipment on which business services depend.

Several capabilities are particularly valuable.

A view of the whole estate. Bringing information together helps teams investigate incidents that cross network, server, endpoint and other infrastructure boundaries. It also reduces the risk of overlooking equipment that sits outside conventional IT monitoring.

Context around alerts. When several notifications stem from one underlying fault, teams need a way to recognise the relationship and focus on the actual incident. One ticket per real issue is more useful than a flood of disconnected alerts. See more on our approach to context-aware prioritisation.

History that supports investigation. Some infrastructure problems develop gradually. A device may become less reliable over several weeks, or performance may deteriorate after a series of changes. Retaining enough history to compare current conditions with earlier behaviour helps teams spot these patterns.

Prioritisation based on business impact. Not every technical issue carries the same consequences. A fault affecting a critical operational system may demand a different response from an isolated problem on a non-essential device. Understanding the affected services and locations helps teams decide where to focus their attention.

This is the context in which LiveTrace approaches observability: helping infrastructure and network teams make sense of what’s happening across their estate, rather than focusing exclusively on application traces or individual performance metrics. The result should be a clearer route from the first indication of a problem to understanding its cause, assessing its impact and deciding what to do next.

Monitoring vs observability at a glance

The distinction between monitoring and observability isn’t absolute. Monitoring tools can offer investigative features, and observability platforms can include monitoring and alerting. However, the question to ask is whether the tools collectively provide both reliable detection and the context needed to understand incidents.

Do you need both?

In short, yes. Observability doesn’t replace monitoring, and monitoring remains an important foundation for any effective infrastructure management strategy.

Monitoring provides the checks and alerts that help teams identify known problems. Observability extends their ability to investigate incidents, connect evidence and understand issues that predefined rules don’t fully explain. You may have outgrown monitoring alone if you regularly encounter situations such as:

• A single fault triggers dozens of alerts, making it difficult to identify the underlying issue.
• You need to open several different tools to answer one straightforward question about an incident.
• There’s no reliable way to establish what changed before a problem started.
• Historical data disappears before you can investigate recurring or gradual performance issues.
• Important OT, IoT or building systems sit outside your existing monitoring coverage.
• You can identify that a problem exists, but struggle to establish its cause or business impact.

These aren’t necessarily signs that your existing monitoring is inadequate. They may simply indicate a need to improve the context available to you when investigating incidents. The goal is to make better use of the data already being generated across the estate, while identifying where additional visibility or retention would be valuable.

A more complete view of IT operations

Monitoring and observability address different but complementary needs. One helps teams detect conditions that require attention; the other helps them investigate the wider picture and understand why those conditions have arisen.

For service desks and network teams responsible for increasingly complex infrastructure, that distinction is worth examining. If your team spends more time correlating alerts and switching between tools than resolving incidents, the issue may not be a lack of monitoring. It may be a lack of context.

Understanding where monitoring ends and observability adds value is a useful starting point for deciding what your IT estate needs next.

Frequently asked questions

What is the difference between observability and monitoring?

Monitoring checks known signals against predefined rules and alerts teams when conditions fall outside expected limits. Observability helps teams investigate system behaviour by connecting data, events and historical information. Monitoring identifies problems that meet known conditions, while observability helps explain why they occurred and investigate issues that weren’t anticipated.

Is observability replacing monitoring?

No. Monitoring remains essential for detecting known faults, checking availability and alerting teams to performance issues. Observability builds on that foundation by providing context for investigation. Most IT operations teams benefit from both: monitoring to identify problems quickly, and observability to help establish their causes, relationships and wider impact.

What are the three pillars of observability?

The three commonly recognised pillars are metrics, logs and traces. Metrics measure behaviour over time, logs record events and activities, and traces follow requests through connected application components. These are useful foundations, but infrastructure observability may also depend on topology, configuration, device state, events and historical data.

What is network observability?

Network observability is the ability to understand what’s happening across a network by analysing information about device performance, connectivity, events and changes. It helps teams investigate network issues, identify relationships between symptoms and underlying faults, and understand the impact on users or services. It extends beyond simply checking whether individual devices are online.

Is Grafana an observability tool?

Grafana is widely used as the dashboard and visualisation layer of an observability stack. It helps teams explore and display data from supported sources, but a dashboard alone doesn’t automatically collect, correlate or explain everything happening across an IT estate. The overall capability depends on the data sources, integrations and investigative tools supporting it.