In a cloud-native world, observability means more than just monitoring. It's about understanding your application behavior—in real time. If you’re using Red Hat OpenShift Service on AWS (ROSA), you’re in a great position to combine enterprise-grade Kubernetes with powerful AWS tools.
In this blog, we’ll explore how OpenShift applications can be connected to:
Amazon CloudWatch for application logs
Amazon Managed Service for Prometheus for performance metrics
No deep tech knowledge or coding needed — just a clear concept of how they work together.
☁️ What Is ROSA?
ROSA (Red Hat OpenShift Service on AWS) is a fully managed OpenShift platform built on AWS infrastructure. It allows you to deploy containerized apps easily without worrying about the backend setup.
👁️ Why Is Observability Important?
Think of observability like a fitness tracker — but for your application.
🔹 Logs = “What just happened?”
🔹 Metrics = “How well is it running?”
🔹 Dashboards & Alerts = “What do I need to fix or optimize?”
Together, these help your team detect issues early, fix them fast, and make smarter decisions.
🧰 Tools That Work Together
Here’s how ROSA integrates with AWS tools:
⚙️ How It All Connects (Simplified Flow)
✅ Your application runs inside OpenShift (ROSA).
📤 ROSA forwards logs (like errors, activity) to Amazon CloudWatch.
📊 ROSA sends metrics (like performance stats) to Amazon Managed Prometheus.
📈 Grafana connects to both and gives you beautiful dashboards.
No code needed — this setup is supported through configuration and integration provided by AWS & Red Hat.
🔒 Is It Secure?
Yes. ROSA uses IAM roles and secure endpoints to make sure your logs and data are only visible to your team. You don’t have to worry about setting up security from scratch — AWS manages that for you.
🌟 Key Benefits of This Integration
✅ Real-time visibility into how your applications behave
✅ Centralized monitoring with AWS-native tools
✅ No additional tools to install — works right within ROSA and AWS
✅ Better incident response and proactive issue detection
💡 Use Cases
Monitor microservices in real time
Set alerts for traffic spikes or memory usage
View errors as they happen — without logging into containers
Improve app performance with data-driven insights
🚀 Final Thoughts
If you’re using ROSA and want a smooth, scalable, and secure way to monitor your apps, AWS observability tools are the answer. No complex coding. No third-party services. Just native integration and clear visibility.
🎯 Whether you’re a DevOps engineer or a product manager, understanding your application’s health has never been easier.
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