AWS Infrastructure Audit & Cost / Performance Optimization -- 2

Job ID: 40215813

Budget: ₹1,500 – ₹12,500 INR

Project Description

My current production workload runs entirely on AWS EC2, and while usage grows, monthly costs are increasing and application response times are degrading. I’m looking for an experienced AWS / DevOps engineer to perform a data-driven infrastructure audit and recommend optimizations.

The engagement will begin with a deep-dive assessment of the existing environment, followed by a cost- and performance-balanced architecture proposal. All findings must be supported with measurable evidence, not assumptions.



Phase 1 — Infrastructure Audit

The audit should cover:

EC2 CPU, memory, and disk I/O utilization

Database behavior and performance (MySQL)

Network flow and latency analysis

CloudWatch metrics and logs review

Identification of bottlenecks, inefficiencies, and cost drivers

Deliverable

A detailed audit report including:

Graphs and CloudWatch metrics

Screenshots and configuration observations

Clear explanation of performance and cost issues

Actionable recommendations backed by data



Phase 2 — Architecture Optimization Proposal

Based on audit findings, propose an optimized architecture that balances performance, reliability, and cost.

EC2 should be treated as the baseline

You may compare alternatives such as Lightsail or managed services, where relevant

Provide a clear architecture diagram

Include projected monthly AWS spend

Justify each component and design decision



Phase 3 — Implementation (If Approved)

If we proceed, the scope will include:

Provisioning and hardening EC2 instances

Separate production and staging environments

Web stack configuration (NGINX or Apache, PHP, MySQL)

Automated backups

Basic monitoring and alerting

Rollback and recovery steps clearly documented



Required Skills

AWS / Cloud Computing

DevOps & Automation

EC2 & CloudWatch

Apache / NGINX

PHP

MySQL / Database Management

Network Administration

Performance Tuning



Engagement Notes

Preference for engineers with real production optimization experience

Strong documentation and communication expected

Data-driven decision making is critical

If you have experience diagnosing real-world AWS performance and cost problems and can back recommendations with metrics and evidence, this project will be a good fit.