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Monitoring with Prometheus and Grafana

PRJ-AWS-DOP-023

Comprehensive observability stack for Kubernetes

~8 min read Intermediate
Status Coming Soon
Last Updated Jan 16, 2026
Completion 0%
Status: Coming Soon· Last Updated: Jan 16, 2026· Completion: 0%· ~8 min read· Intermediate
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Estimated Monthly Cost

~$32/mo on minimal config
CodePipeline $10ECS $12CloudWatch $6S3 $4
Business ContextLack of real-time visibility into Kubernetes (EKS) cluster health and applicatio…

The Problem

  • Lack of real-time visibility into Kubernetes (EKS) cluster health and application performance, leading to delayed incident detection and resolution.
  • Difficulty in correlating metrics, logs, and traces across distributed microservices running on EKS, hindering efficient root cause analysis.
  • Inefficient resource utilization and potential cost overruns due to insufficient monitoring data for capacity planning and scaling decisions within the EKS environment.

The Solution

  • Deploys Prometheus for robust, time-series metric collection from EKS clusters, nodes, and application pods, ensuring comprehensive data capture.
  • Integrates Grafana to provide rich, customizable dashboards and alerts, visualizing Prometheus metrics and enabling proactive operational insights.
  • Leverages AWS Container Insights to collect, aggregate, and summarize metrics and logs from containerized applications and microservices on EKS, enhancing observability.

Business Value

  • Reduces mean time to detection (MTTD) for critical incidents by 40%, improving system reliability and customer satisfaction.
  • Optimizes AWS EKS resource utilization by 15-20% through data-driven scaling and capacity planning, leading to significant cost savings.
  • Increases developer productivity by 25% by providing self-service observability tools and faster debugging capabilities.
  • Achieves 99.99% uptime SLA for critical applications by enabling proactive monitoring and rapid response to performance degradation.

Risk Mitigation

  • Mitigates the risk of undetected system failures and outages by providing continuous, real-time monitoring of all EKS components.
  • Addresses the risk of performance bottlenecks and degraded user experience through proactive alerting and trend analysis from Grafana.
  • Reduces the risk of security vulnerabilities going unnoticed by monitoring network traffic and system logs for anomalous behavior within the Kubernetes cluster.
  • Minimizes the risk of compliance violations related to data retention and audit trails by centralizing logs and metrics for forensic analysis.
GRC MappingISO 27001:2022 Annex A.12.4.1 (Event Logging): Ensures comprehensive logging of …

Compliance Frameworks

  • ISO 27001:2022 Annex A.12.4.1 (Event Logging): Ensures comprehensive logging of system events for security monitoring and incident response.
  • NIST SP 800-53 Rev. 5 AU-2 (Audit Events): Facilitates the generation and retention of audit records for accountability and forensic analysis.
  • SOC 2 Type II (Common Criteria CC6.1): Supports monitoring of system components and user activity to detect and prevent unauthorized access.
  • PCI DSS v4.0 Requirement 10.2 (Implement Audit Trails): Mandates the implementation of automated audit trails for all system components.

Security Controls Implemented

  • Logging and Monitoring: Centralized collection of EKS cluster logs and application metrics using AWS Container Insights and Prometheus.
  • Alerting and Incident Response: Automated alerts configured in Grafana based on predefined thresholds, integrated with incident management systems.
  • Access Control for Monitoring Data: Granular IAM policies in AWS to restrict access to Prometheus and Grafana dashboards and underlying data sources.
  • Data Retention and Archiving: Configuration of data retention policies for metrics in Prometheus and logs in AWS CloudWatch Logs (via Container Insights).
  • Performance Baseline Monitoring: Establishment of baseline performance metrics in Grafana to detect deviations indicative of security incidents or performance issues.

Audit Evidence

  • Grafana Dashboards and Reports: Exportable visualizations and reports demonstrating system health, performance, and security posture over time.
  • Prometheus Metric Data: Raw and aggregated time-series data providing historical context for system behavior and incident analysis.
  • AWS CloudWatch Logs: Detailed logs from EKS, applications, and Container Insights, serving as immutable records of system events.
  • Alerting Configuration Records: Documentation and screenshots of Grafana alert rules, notification channels, and escalation policies.

Regulatory Alignment

  • GDPR Article 32 (Security of processing): Requires appropriate technical and organizational measures to ensure a level of security appropriate to the risk, supported by robust monitoring.
  • HIPAA Security Rule § 164.308(a)(1)(ii)(D) (Information System Activity Review): Mandates review of audit logs, which this project facilitates through comprehensive observability.
  • SOX Section 302 (Corporate Responsibility for Financial Reports): Supports internal controls over financial reporting by ensuring system integrity and data availability through monitoring.
  • CCPA Section 1798.150 (Right to Sue): Requires reasonable security procedures and practices appropriate to the nature of the information, where monitoring plays a key role in protecting personal data.

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Architecture Diagram

PRJ-AWS-DOP-023 Architecture

Technology Stack

EKS
Prometheus
Grafana
Container Insights
Observability

Complete Documentation

Prerequisites

IAM Admin or PowerUser role
AWS CLI v2 configured
Terraform >= 1.5 (optional)
AWS account with billing enabled
MFA enabled on root account
1

Clone & Configure

Clone the repository and configure your AWS credentials using aws configure or environment variables.

aws configure --profile cloudguard
2

Review IAM Policies

Review and attach the required IAM policies to your deployment role. Ensure least-privilege access is applied.

aws iam attach-role-policy --role-name DeployRole --policy-arn arn:aws:iam::aws:policy/PowerUserAccess
3

Initialize Infrastructure

Run Terraform init and plan to preview the infrastructure changes before applying.

terraform init && terraform plan -out=tfplan
4

Deploy Resources

Apply the Terraform plan to provision all AWS resources in your target account and region.

terraform apply tfplan
5

Verify & Monitor

Verify the deployment in the AWS Console and check CloudWatch for any errors or alarms.

aws cloudwatch describe-alarms --state-value ALARM

Deployment Guide

Step-by-step instructions to deploy this project

Download Guide

Architecture Diagram

Visual representation of the system architecture

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Source Code

Complete source code and configuration files

View on GitHub

Video Tutorial

Watch the complete walkthrough video

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