Curriculum Overview: Managed Service for Prometheus and Grafana

[!NOTE] Curriculum Alignment: This module is part of the AWS Certified CloudOps Engineer - Associate (SOA-C03) path, specifically falling under the Monitoring, Logging, and Observability domain. It focuses on Advanced Observability Services for modern cloud-native architectures.

Prerequisites

Before diving into Amazon Managed Service for Prometheus (AMP) and Amazon Managed Grafana (AMG), learners should have a solid foundation in standard AWS observability tools and containerized environments. You must understand:

• Amazon CloudWatch Fundamentals: Basic knowledge of standard metrics, custom metrics, alarms, and dashboards.
• Container Basics: Familiarity with deploying and managing containerized workloads on Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS).
• Basic Observability Concepts: Understanding the difference between logs, metrics, and traces.
• Identity and Access Management (IAM): How to apply the principle of least privilege using identity-based policies, as IAM integrates heavily with these managed services.

Module Breakdown

The curriculum is structured progressively, taking you from the core open-source concepts to full AWS-managed deployments.

Learning Objectives per Module

Each module is designed to build the specific competencies required for the SOA-C03 exam and real-world CloudOps engineering.

Module 1: Introduction to Open-Source Observability

• Define the role of Prometheus as a time-series database and metric scraper.
• Define the role of Grafana as a multi-source data visualization platform.
• Identify the limitations of self-hosting these tools (e.g., scaling $N$-tier architectures, managing infrastructure).

Module 2: Amazon Managed Service for Prometheus (AMP)

• Explain the use cases for open-source compatible monitoring within AWS.
• Provision an AMP workspace using the AWS Management Console and CLI.
• Configure the AWS Distro for OpenTelemetry (ADOT) to scrape metrics from Amazon EKS and send them to AMP.

Module 3: Amazon Managed Grafana (AMG)

• Deploy an AMG workspace with AWS IAM Identity Center (SSO) integration.
• Configure AMP, Amazon CloudWatch, and AWS X-Ray as data sources within Grafana.
• Build custom dashboards utilizing PromQL (Prometheus Query Language).

Module 4: Integration & Architecture

• Design a secure, multi-account observability architecture.
• Troubleshoot VPC and IAM permission issues preventing metric ingestion.

Module 5: SOA-C03 Exam Scenario Workshop

• Differentiate when to use CloudWatch vs. AMP/AMG based on scenario requirements.
• Answer active recall questions regarding cost optimization and performance tuning of observability pipelines.

Success Metrics

How will you know you have mastered this section of the curriculum? You should be able to check off the following competencies:

1. Architectural Fluency: You can accurately diagram the flow of metrics from an EKS cluster to Grafana without referencing documentation.
2. Tool Selection: Given a business requirement, you can correctly choose between Native CloudWatch and Managed Prometheus/Grafana.
3. Hands-On Execution: You can successfully deploy an AMP workspace and an AMG dashboard using Infrastructure as Code (e.g., AWS CloudFormation or CDK).
4. Exam Readiness: You consistently score 85%+ on practice questions specifically targeting Advanced Observability Services.

[!IMPORTANT] Exam Tip for SOA-C03: The exam heavily tests your ability to identify use cases. If a question mentions a company "migrating existing open-source monitoring," "wanting to avoid vendor lock-in," or "needing PromQL support," the correct answer is almost always Managed Prometheus and Managed Grafana.

Real-World Application

In modern enterprise environments, engineering teams frequently rely on Kubernetes (EKS) for container orchestration. Because Kubernetes was born in the open-source community, its native monitoring ecosystem is built entirely around Prometheus and Grafana.

Why does this matter in your career?

If a company runs self-managed Prometheus, the CloudOps team must constantly scale the underlying EC2 instances, manage EBS volumes to prevent data loss, and patch the software. By leveraging Amazon Managed Service for Prometheus and Amazon Managed Grafana, you provide the exact same user experience to developers (they still use PromQL and Grafana dashboards) while eliminating the undifferentiated heavy lifting of infrastructure management.

Architectural Flow Example

Below is a standard real-world architecture you will build during this curriculum, demonstrating how AWS services interlock to provide a seamless observability pipeline:

Service Comparison: CloudWatch vs. Open Source Managed

Understanding this comparison is crucial for architectural decision-making:

By completing this curriculum module, you will transition from a traditional systems administrator into a modern CloudOps Engineer capable of supporting complex, multi-environment, open-source-aligned architectures.