Beyond Logging: The Power of Observability in Modern Systems

Beyond Logging: The Power of Observability in Modern Systems

Observability has now become a key aspect of designing, building and maintaining modern systems.

From logs to distributed tracing and from distributed locking to distributed tracing, observability as a function has gone beyond logging.

With so many aspects to be taken care of, it thus becomes essential to have an observability toolchain which is comprehensive and comprehensive without making it complex.

In this blog, we will explore the underlying motivations behind observability, the various tools available to enable it, and the various components of the same.

Definition of Observability

Observability is a measure of how well the internal aspects or processes of a system are running or performing with respect to its daily external runtime functions. In other words, it is utilized to map and measure the system health. 

There are three main aspects to observability:

  • Sensitivity: how well does the system respond to changes in its environment?
  • Selectivity: how well does the system discriminate between different stimuli?
  • Stability: how well does the system maintain its internal state in the face of external perturbations?

A system that is highly observant will be able to provide accurate information about its internal state, even in the face of significant external disturbances.

Importance of Observability in Modern Systems 

In the past, systems were often designed without much consideration for observability. This was largely due to the fact that log monitoring and debugging tools were not as sophisticated as they are today.

However, with the advent of more sophisticated monitoring and debugging tools, it has become increasingly important to design systems with observability in mind.

There are several reasons for this:

  • Firstly, observability can help prevent issues from occurring in the first place by identifying potential problems and addressing them before they cause any actual damage
  • Secondly, observability can help reduce the amount of time taken to diagnose and fix problems when they do occur
  • Thirdly, observability can help improve the overall quality of a system. By being able to see what is happening inside the system, it is possible to identify areas where the system can be improved and make the necessary changes.

Thus, observability is overall a critical aspect of modern system design. By taking into account the need for observability, it is possible to build better, more reliable systems.

Logging vs Observability

There are two primary ways to gather data about the inner workings of a system: logging and observability.

Both these methods have their advantages and disadvantages, and the choice of which to use depends on the specific needs of the system in question.


Logging is the process of capturing data about system activity in a structured format that can be queried and analyzed. Its main advantage is its ability to provide a detailed history of what has happened in the system.

This can be extremely valuable for debugging purposes, as it can help identify the root cause of problems.

The downside of logging is that it can be expensive in terms of both storage and processing requirements, and it can be difficult to set up logging in a way that captures all the relevant data.


Observability, on the other hand, is the process of monitoring the system in real time and gathering data about its current state.

This data can be used to detect problems as they happen, which is invaluable for systems that are critical or have strict uptime requirements.

The downside of observability is that it can be difficult to implement, and it requires access to all parts of the system in order to be effective.

 Limitations of Logging

There are several limitations to logging that should be considered when deciding whether or not to use this method of data collection.

First, logs can be difficult to set up and configure, especially if you are not familiar with the system on which they are being generated.

Second, logs can generate a lot of data, which can be difficult to sift through and make sense of. Finally, logs can be tampered with or deleted, which can skew the data and make it difficult to trust.

Components of Observability

  1. Metrics

Metrics are a key part of observability because they provide a way to measure and track the performance of your system.

By monitoring metrics, you can identify issues and bottlenecks, and make changes to improve performance. Metrics can be collected manually or through a monitoring system.

  1. Traces

Traces are a key component of observability because they provide visibility into the execution of a system.

Traces can be used to understand performance issues, identify bottlenecks, and debug errors. They can also be used to monitor the health of a system and detect changes in behavior.

  1. Logs

Logs can be particularly helpful when something goes wrong in a system, as they can provide a record of what happened leading up to the problem.

By reviewing logs, you can often identify the root cause of a problem and take steps to prevent it from happening again in the future.

Benefits of Observability

  1. Faster Problem Detection and Resolution

Observability can help prevent problems from occurring in the first place by providing insights that can be used to improve the design and operation of the system.

  1. Improved System Performance

By monitoring the system and its environment, it is possible to identify and diagnose problems more quickly and efficiently. This in turn leads to improved system performance. 

  1. Enhanced Customer Experience

Observability can help businesses to detect and diagnose problems that would otherwise be difficult to identify. As a result, businesses that make use of observability can expect to see improved customer satisfaction and loyalty.

  1. Better Decision-Making and Planning

By providing visibility into the inner workings of systems, it can help identify bottlenecks, inefficiencies, and potential problems before they cause major issues.

This allows for proactive decision-making and planning that can avoid or mitigate potential problems. 

 Implementing Observability in Modern Systems

Operational intelligence is the practice of monitoring and managing modern systems.

The goal of operational intelligence is to provide visibility into the inner workings of these systems in order to identify and diagnose problems as they occur.

Observability is a key component of operational intelligence. By the various events and data points emitted by a system, it allows for the identification of issues that would otherwise be difficult to detect.

The benefits of observability are numerous. In addition to helping to identify and diagnose problems, it can also provide insight into the overall health of a system and its individual components.

Additionally, it can help detect potential security issues and to monitor the performance of a system over time.

Best Practices for Implementing Observability 

There is no one-size-fits-all answer to the question of how best to implement observability in a given system. However, there are some best practices that can be followed in order to ensure that the same is maximized:

  • Have a clear understanding of what observability is and what it is meant to achieve.
  • Identify the key components of the system that need to be monitored.
  • Design and implement monitoring solutions like Middleware that are tailored to the specific needs of the system.

It is also important to keep in mind that observability is not a static concept - it is something that needs to be continuously maintained and updated as the system evolves.

As such, it is important to have a process in place for regularly reviewing the monitoring solutions in place and making adjustments as necessary.

By following the above best practices, it is possible to ensure that observability is maximized in any given system.

Challenges and How to Overcome them

There are several challenges to implementing observability, such as the:

  • Cost; However, the benefits of being able to detect and diagnose problems in complex systems far outweigh the costs
  • Requirement of a high level of expertise; It can be difficult to find people with the necessary skillset, and even harder to retain them. This is why it's important to invest in training and development for your team
  • Finally, it can be difficult to get buy-in from other departments when implementing it

They may not see the value in it or be resistant to change. But if you can show them how observability can improve the overall performance of the company, you're more likely to get their support.


Observability is a critical component of any security strategy, as it provides visibility into the inner workings of systems and allows for the detection of anomalies and potential threats.

However, implementing it can be a challenge, as it requires the collection and analysis of a large amount of data. To be effective, it must be tailored to the specific needs of the organization and the threats it faces.

There are a number of considerations to take into account when implementing observability, including the type of data to collect, the tools to use for collection and analysis, and the personnel needed to manage the process.

In IT and cloud security infrastructure, organizations must also have the ability to store and access the data collected, as well as the resources to process and analyze it.

When utilised correctly, observability can be a powerful tool for detecting and responding to threats. However, it is important to note that it is not a silver bullet and should be used in conjunction with other security measures.

Final Words

Observability is thus the monitoring of the behavior of software systems, networks, and applications.

Great observability means that we can quickly detect and diagnose problems in our IT systems. While logging can be an important part of this process, to truly leverage observability, you need to look beyond logging.

This means leveraging real-time metrics and traces, as well as log files.

We hope this post has helped you realize how important it is to look beyond logging and that you’ll be able to use some of the techniques and technologies mentioned in your own systems.

Author’s Bio

Srushti Shah is an ambitious, passionate, and out-of-the-box thinking woman having vast exposure in Digital Marketing. Her key focus is to serve her clients with the latest innovation in her field leading to fast and effective results. Working beyond expectations and delivering the best possible results in her professional motto. Other than work, she loves traveling, exploring new things, and spending quality time with family. Reach out to Srushti Shah on Twitter or LinkedIn