6 principles of observability in modern applications


Welcome to our blog on six principles of observability in modern applications!

Due to the increasing complexity of household applications and software, it becomes quite difficult to effectively monitor and fix the various issues that crop up within the same framework.

This is where observability comes in.

It refers to a series of observable practices that are carried out with the help of various tools. These tools give developers and operations teams insight into the inner workings of their applications.

Given the growing importance of this form of observability, we’ll look at 6 keys principles of observability which are important to ensure the performance of your applications.

So whether you’re a developer looking to improve your app’s performance or an operations team trying to keep things running smoothly, this blog is for you.

Let’s get started!

Principles of observation

1. Recognition of the objectives of observation

The ultimate goal of monitoring is to gain deep insight into application behavior and performance with the help of performance monitoring across various applications. tools that allow developers and operations teams to identify and resolve issues quickly and efficiently.

Nowadays, businesses have also started using Artificial Intelligence to monitor and monitor their applications due to its widespread use.

However, there are several other goals that businesses achieve with the help of AI observability, namely:


Allows teams to monitor key metrics and performance indicators in real-time, helping them identify issues before they become critical.


Because observability allows organizations to drill down and analyze application behavior, DevOps teams can quickly identify the root cause of performance issues, if any, and take appropriate action against them.


Helps engaged DevOps teams identify opportunities to optimize and improve relevant applications, which contributes to:

  1. Improving the performance of your applications
  2. Better user experience


Promotes collaboration between teams by providing a common understanding of application behavior, making it easier to work together to resolve issues and make improvements as needed.

So overall, observability helps DevOps teams build more reliable, efficient and scalable applications by providing deep insights into the behavior of the same.

These teams can also make better use of the various observability-focused tools and methods to achieve their organization’s goals and improve the overall quality of their applications.

2. Data retention

Meanwhile, data processing may not be one of the traditional ones principles of observabilityit is certainly an important aspect that should not be overlooked.

It refers to the action.

  • Gathering
  • Cleanser
  • Organization
  • Storage of data sets

All of the above help DevOps teams quickly analyze and use data sets to draw conclusions.

That’s why DevOps teams need to establish a clear data collection and storage strategy that includes:

  • Identifying the types of data to be collected
  • Defining the structure and format of that data
  • Determine how data will be stored and accessed

It is also important to have effective data management processes in place to ensure the quality of data collected, such as:

  • Implementation of automated checks for data validation
  • Establishing data cleansing procedures to remove irrelevant or incorrect data
  • Creation of a system of ongoing maintenance and updates

3. Establishment of SSOT

Yes, creating a SSOT (single source of truth) is one best practices for observability on modern applications.

This is because SSOT is a centralized repository of system information that can be accessed by all relevant stakeholders, such as system

  • Configuration
  • Execution
  • Conduct

By creating a SSOT, the following parties can access relevant information from a centralized repository and perform their respective work without difficulty:

  • Developers
  • Action teams
  • concerned parties

This aspect is quite important as it allows stakeholders to quickly identify and resolve issues, if any.

4. Measuring your application’s performance

The way apps work nowadays is quite important as it determines the experience your customers or users have with your brand or user interface.

That’s why you should regularly monitor their performance with help application performance monitoring tools

These tools collect and analyze data about the system, including metrics such as:

  • Response time
  • bandwidth
  • Error rates

By monitoring these metrics, stakeholders can identify trends and patterns that may indicate performance issues.

Another way to identify performance bottlenecks is to use methods such as:

These techniques can help stakeholders identify bottlenecks and hot spots in a system’s performance and provide insights on how to optimize its performance.

5. High transparency

Transparency refers to the ability to see and understand what is happening within the system, such as:

  • Internal processes
  • Addictions
  • Interactions

One way to achieve a high level of transparency is to use the tools that are available visibility platform.

These tools collect and analyze data from various sources such as:

Another way to promote transparency is to implement practices such as:

  • Continuous Integration and Continuous Deployment (CI/CD)
  • Infrastructure as Code (IaC)

These practices promote transparency by enabling stakeholders to see and understand how changes are made and deployed in the system.

6. Understanding context and topology

Context refers to the relevant information and data surrounding an event or problem in a system, while topology refers to the physical or logical structure of a system, including its;

  • Ingredients
  • Connections
  • Addictions

In modern applications, which are often distributed and complex, it is important to understand the context and topology of the system to ensure observability.

This means having visibility into the relationships and dependencies between different system components and understanding how they work together to provide functionality.

Observation Wrap up

Therefore, the above principles include six keys principles of observability on modern applications, in particular.

  • Creating a Single Source of Truth (SSOT)
  • Promoting a high level of transparency
  • Understanding context and topology etc.

By following these principles, stakeholders can:

  • Gain visibility into the inner workings of the system
  • Identify and resolve issues faster
  • Ensure applications remain reliable and perform at the same level

Businessmen can put them into practice principles of observability by using

  • Monitoring tools
  • Distributed tracking
  • Service-oriented architecture
  • Microservices
  • Continuous integration and deployment
  • Infrastructure as code
  • A culture of learning and continuous improvement

Thus, observability is a critical component of modern application development, essential to ensuring the success of complex, distributed systems.

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