August 9, 2023 By Ajuma Bella Salifu 3 min read

In our blog series, we’ve debunked the following observability myths so far:

Observability refers to the ability to gain insights into a system’s internal behaviour based on external outputs or signals. The primary goal of observability is to provide IT teams with the necessary tools to understand system performance, identify problems and troubleshoot effectively.

In this article, we’ll tackle the common myth that observability is only relevant and beneficial for large-scale systems or complex architectures.

Why is this a myth?

The problem with this misconception is that it can deter smaller organizations or teams from adopting observability practices. For many companies, however, their applications are their business, and the lack of an observability framework can limit their ability to diagnose issues and optimize systems in a timely manner.

Let’s look at web applications within smaller systems applications as an example. Even a simple web application can benefit from observability by implementing basic logging and metrics. By tracking user interactions, request/response times and error rates, developers can detect anomalies and identify areas for improvement. This can lead to a better user experience and ultimately enhance the application’s success.

Fact: Observability benefits systems of all sizes, from small applications to large-scale distributed architectures

The value of observability lies in gaining insights into system behaviour, identifying performance bottlenecks and troubleshooting issues effectively. Even simple applications can benefit from observability by proactively monitoring critical components and detecting anomalies early on.

Moreover, consider the case of a microservices architecture. Although each microservice might be relatively simple on its own, the interactions and dependencies between them can quickly become complex. In such scenarios, observability becomes crucial to trace requests across different services, measure latency and pinpoint performance bottlenecks.

Start-ups and small companies that are rapidly scaling can greatly benefit from observability. As their systems grow in complexity, they face new challenges and potential failures. By adopting observability early on, these organizations can build a solid foundation for monitoring and troubleshooting, ensuring smoother growth and minimizing the risk of unexpected issues.

Even individual developers working on personal projects can gain insights from observability. By using real-time monitoring to see relevant events and metrics during development and testing, they can spot problems early, leading to more robust and reliable applications.

A notable example of the importance of observability occurred in 2012 when a financial services firm lost $400+ million in less than an hour due to a software glitch. This catastrophic failure was caused by a code deployment error. This incident emphasizes the criticality of observability in industries like financial systems, where seemingly small errors can have severe consequences.

Observability provides essential insights and diagnostic capabilities for systems of all sizes and architectures. This means better system performance, greater reliability and better user experiences. No matter the size of your organization, consider implementing an observability solution as an integral part of your software engineering and monitoring practices. It’s one of the best ways to stay competitive and resilient in today’s ever-changing, technology-driven landscape.

Observability by the numbers

High performance during an unprecedented boom: During the lockdown in 2020, online commerce surged to unprecedented volumes across the world. That year, GittiGidiyor saw mobile sales revenue surge by 82% and was able to accommodate a 4-5x increase in its overall volume during Black Friday.

Improving patient outcomes: Mayden creates digital technology that changes what’s possible for clinicians and patients. They use observability to support the delivery of mental health services, and their main product, iaptus, helps deliver mental health services to more than five million patients in the UK.

IBM’s approach to enterprise observability

IBM’s observability solution, IBM Instana, is purpose-built for cloud-native and designed to provide high-fidelity data automatically and continuously (e.g., one-second granularity and end-to-end traces) with the context of logical and physical dependencies across mobile, web, applications and infrastructure. Our customers have been able to achieve tangible results using real-time observability.

Experience IBM Instana firsthand

What’s next?

Stay tuned for our next blog, where we debunk another common myth about observability:  “Observability is expensive.” Get ready to discover the broader benefits and applications that await.

Was this article helpful?

More from Automation

Enhancing observability with chaos engineering: Steadybit integration with Instana

3 min read - In today's dynamic software landscape, maintaining high performance and reliability is crucial for businesses. Achieving this requires effective observability and two powerful tools to accomplish this are Steadybit and Instana®. The seamless integration of Steadybit with Instana unlocks proactive reliability engineering techniques and a comprehensive solution for optimizing and managing your applications. Steadybit chaos engineering platform Steadybit is a resilience testing platform that is designed to proactively identify weaknesses and potential failures in distributed systems. It empowers organizations to build…

What is managed DNS, anyway?

3 min read - Managed DNS is where a third-party hosts and optimizes your DNS resolution architecture to provide the fastest, most secure, most reliable experience. Perhaps the easiest way to explain it is by looking at the opposite scenario: what if you don’t have a managed DNS service in place? Every query in the Domain Name System (DNS) follows the same logic to resolve IP addresses. If the DNS records for sites aren’t found in the local cache, DNS will progressively query a series of…

The difference between ALIAS and CNAME and when to use them

3 min read - The chief difference between a CNAME record and an ALIAS record is not in the result—both point to another DNS record—but in how they resolve the target DNS record when queried. As a result of this difference, one is safe to use at the zone apex (for example, naked domain such as, while the other is not. Let’s start with the CNAME record type. It simply points a DNS name, like, at another DNS name, like  This tells the resolver to look…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters