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Advanced Argo Rollouts With Datadog Metrics for Progressive Delivery

In modern DevOps environments, delivering software quickly and reliably is essential. Progressive delivery strategies such as canary deployments have emerged as effective methods to reduce risk during application updates. Argo Rollouts is a Kubernetes-native controller that enables progressive delivery using deployment strategies like canary and blue-green. When integrated with Datadog, a powerful monitoring and observability platform, Argo Rollouts can automatically make deployment decisions based on real-time metrics. This paper explores how Argo Rollouts and Datadog work together to automate analysis, reduce manual intervention, and ensure safe, data-driven deployments in Kubernetes environments.

Introduction

As organizations adopt microservices and cloud-native architectures, the complexity of application deployments has increased significantly. Traditional deployment methods often lead to downtime, user disruption, or production issues due to the lack of real-time feedback. Progressive delivery offers a solution by incrementally rolling out changes and continuously validating them.

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