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Effective monitoring is fundamental to high performance as it provides teams insight into their system and processes, enabling them to make better decisions. It can be defined as a process of collecting, analyzing, and using the information to track applications and infrastructure in order to guide business decisions. Read on to learn more about how monitoring systems can transform your work model.

The Importance of Monitoring for Software Teams & Businesses

Businesses of all types and sizes invest in monitoring for multiple reasons. First and foremost, it allows you to make better, informed, and data-driven decisions that lead to success. Secondly, when implemented properly, monitoring can help identify issues early during the software development lifecycle, allowing the team to resolve the issue before it turns into a major problem. It can save you a lot of time and resources down the road.

Another reason you may want to integrate and strengthen monitoring into your processes is that it can help communicate information about your systems to people in different areas of software development or business.

Valuable knowledge acquired later in the process can be integrated into upstream teams, such as product management or development. For example, information acquired from operating a highly scalable application employing a NoSQL database as a data store can help developers develop similar applications.

Effective monitoring can help identify such knowledge overlaps in the system and transfer useful information seamlessly across the organization. It will also enable teams to pinpoint issues in the system and whether they originate from a production issue, deployment error, or customer usage trends.    

For all these reasons, we can say that monitoring is one of the key capabilities that help improve the overall system, processes and allow the team to make informed and timely decisions. In fact, it won't be a stretch to say that monitoring is vital for business success.

DevOps Monitoring Solutions: How to Implement Monitoring

The only question remaining is how to implement effective monitoring? Well, while you can always look into third-party or Off-the-shelf solutions, turning to DevOps to create a powerful monitoring system is an excellent way to go about it. Moreover, you can tailor these solutions to meet your unique needs and requirements. Here are the two most important elements that form the backbone of effective monitoring.

Data Collection

Whether you implement monitoring solutions as managed services or homegrown services, make sure you collect data from different stages of SDLC, including development, testing, QA, deployment, and other IT operations. Here, it is important to choose the right metrics that provide you with valuable information in line with your business goals and functions.    

Data Analysis  

Data collection is only half the work. In order to make the collected data useful, first, you need to analyze and refine it. It may involve sorting, analyzing, transforming, and visualizing collected data. Only then can it help different audiences make informed decisions.  

Using Data to Make Business Decisions

Now that you have data refined and relevant data in hand, take a look at how you can use it to help make better decisions.

Common Pitfalls of Monitoring & Solutions

Effective monitoring helps drive performance. However, it is important to overcome some common pitfalls of monitoring to boost its effectiveness.  

1.     Reactive Monitoring

Reactive monitoring entails "reacting" to a stimulus or monitoring after a problem arises. For example, receiving an alert after the system has failed is reactive monitoring. What you need is proactive monitoring to help identify problems before they occur and prevent them from occurring in the first place.   

2.     Small Monitoring Scope

Setting a small monitoring scope leads to multiple issues down the road. Do not make the mistake of monitoring only a few areas of software development. Instead, your system should cover the entire delivery pipeline to make sure you receive relevant and relatable data. It will also help you understand the effects of one metric on others.

3.     Focus on Local Optimization

Monitoring can help you achieve your goals. However, focusing on local optimization without looking at the bigger picture may be a cause of concern. For example, focusing on bringing down response time for one storage needs of one service without considering its overall impact on the system and infrastructure.  

4.     Monitoring Overload

Monitoring overload or "too much" monitoring is just as ineffective as lack of monitoring. Collecting data about anything and everything will drown you in information and keep you from benefits from insightful data.

Strike a healthy balance between monitoring too much and too little. An easy way to do that is to collect data only from key areas throughout the value chain. Select the metrics carefully to make sure they are meaningful to the organization.  

The Bottom Line

Monitoring leads to success. You can tell your monitoring is effective if data from different application performance monitoring tools or infrastructure monitoring tools is used to make business decisions effectively.

Are you looking for monitoring solutions to enhance decision-making? Hooligan can help. We specialize in custom software development, mobile app development, enterprise software development, automation, and DevOps interventions. Contact us today for more information. 


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