real-time monitoring Implementing Real-Time Datadog Monitoring in Deployments

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In today's tech landscape, where application systems are numerous and complex, real-time monitoring during deployments has transitioned from being a luxury to an absolute necessity. Ensuring that all the components of an application are functioning as expected during and immediately after deployment while also keeping an eye on essential application metrics is paramount to the health and functionality of any software application. This is where Datadog steps in — a leading monitoring and analytics platform that brings visibility into every part of the infrastructure, from front-end apps to the underlying hardware. In tandem with this is Ansible, a robust tool for automation, particularly in deployment and configuration management. In this article, we will discover how Datadog real-time monitoring can be integrated into Ansible-based deployments and how this integration can be leveraged during deployments. This concept and methodology can be applied to similar sets of monitoring and deployment tools as well. 

Why Integrate Real-Time Monitoring in Deployments?

In the ever-evolving realm of DevOps, the line between development and operations is continuously blurring. This integration drives a growing need for continuous oversight throughout the entire lifecycle of an application, not just post-deployment. Here's why integrating Datadog with your deployment processes and within your deployment scripts is both timely and essential:

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