Nov 28, 2025 • 5 min read

Automation aws CI/CD Cloud Architecture Cloud Engineering DevOps serverless AWS Lambda Microservices DynamoDB ECS Fargate AWS CDK

Building a Cloud-Native APM Platform with Distributed Profiling on AWS

A cloud-native APM platform with distributed profiling, flame graphs, and performance monitoring built on AWS. Covers full architecture, VPC design, observability, and IaC with CDK to enable scalable, secure, multi-environment performance analysis.

Rahul Ladumor

Modern applications are increasingly distributed, event-driven, and latency-sensitive. As microservices, serverless, containers, and multi-region systems grow, so does the difficulty of understanding performance bottlenecks.

Traditional APM tools provide metrics and traces, but lack continuous profiling, flame graph analytics, and fine-grained bottleneck detection.

This project - APM with Distributed Profiling - aims to build an open, AWS-native, fully IaC-driven performance monitoring platform.

In this blog, we’ll explore:

Why distributed profiling matters
The complete architecture
Networking foundation implemented with AWS CDK
How profiling and flame graphs fit into the system
Future enhancements

Let’s dive in.

What We Are Building

This project delivers an end-to-end APM system featuring:

Continuous CPU & memory profiling
Flame graph visualization
Distributed tracing
Performance regression testing
Bottleneck detection
AWS-native scalability
Full multi-environment support (dev/staging/prod)
Infrastructure-as-Code (IaC) using AWS CDK

High-Level Architecture

Below is the exact high-level system architecture presented in the README - reproduced here for clarity.

System Architecture

This diagram illustrates the complete end-to-end architecture of the APM platform, showing how clients interact with the system through the edge layer, how compute services process profiling data, how storage and caching layers organize information, and how observability tools monitor system health.

Data Flow - How Profiling Works

This sequence diagram shows how requests flow through the system—from the client to the API, through authentication, into compute resources, and finally to the caching and database layers—while simultaneously generating metrics and alerts through the monitoring stack.

Deployment Pipeline Diagram

This diagram outlines the automated CI/CD pipeline from Git push to testing, staging deployment, canary rollout, health checks, and full production release.

Network Architecture (Current Implementation in Code)

This diagram visualizes the AWS VPC networking layout, including public, private, and database subnets distributed across multiple availability zones, with Internet Gateways, NAT Gateways, and subnet routing configurations.

This diagram represents a production-ready VPC:

Multi-AZ
Public/Private/DB subnets
NAT gateways
Internet gateway
Isolated database tier

Your current CDK code implements the Public Subnets + VPC Endpoints portion.

Why Continuous Profiling Matters

Distributed profiling is becoming the new standard for observability because:

Metrics show what happened
Logs show what was logged
Traces show where time was spent
Profiling shows exactly why it happened

Flame graphs make performance hotspots instantly visible:

CPU spikes
Memory leaks
Lock contention
Inefficient code paths

This project aims to bring such capabilities into a cloud-native, serverless-friendly architecture.

Full Feature Catalog (From README)

Your project outlines powerful capabilities:

High availability
Autoscaling
End-to-end encryption
IAM least-privilege
WAF protection
CloudWatch monitoring
X-Ray tracing
Predictive scaling
Disaster recovery
Compliance readiness (HIPAA, PCI, SOC2, GDPR)

These align perfectly with real-world APM requirements.

Roadmap: What Comes Next

Phase 1 - Compute Layer

Lambda ingestion API
ECS profiling workers

Phase 2 - Data Layer

S3 artifact storage
DynamoDB metadata
RDS structured queries

Phase 3 - Profiling Pipeline

Flame graph generation
Profile aggregation

Phase 4 - Observability

CloudWatch dashboards
Distributed tracing

Phase 5 - UI Layer

Flame graph explorer
Query dashboards

Phase 6 - CI/CD

Multi-stage deployments
Canary + rollback

Conclusion

This project sets the foundation for a modern, cloud-native APM platform with distributed profiling, built entirely on AWS services and IaC principles.

✔ The README defines an ambitious, production-level architecture
✔ The current code implements the essential VPC + networking layer
✔ Future phases will bring compute, data, monitoring, profiling, and UI capabilities

Everything follows best practices for scalability, security, and observability.