Debunking observability myths – Part 3: Why observability works in every environment, not just large-scale systems
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.
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.