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Architecture and System Audit Services
We audit your software architecture to find bottlenecks and security risks. We find performance bottlenecks, security gaps, and scalability limits to help you fix technical debt and make your system run faster and cheaper. Get a full system review to fix latency, cut costs, and improve uptime
100% Job Success
Expert-Vetted
Top-Rated Plus
100% Job Success
Expert-Vetted
Top-Rated Plus
100% Job Success
Expert-Vetted
Top-Rated Plus
100% Job Success
Expert-Vetted
Top-Rated Plus
Why You Need a System Audit
Scalability and Elasticity
We check if your system can handle more users without crashing. We look at horizontal scaling (adding more machines to a pool) and vertical scaling (adding more power to a single machine).
- Load Balancing: We check how you split traffic across servers. We make sure no single server takes too much load.
- Auto-scaling Groups: We test if your servers turn on and off automatically when traffic changes. This saves money.
Performance and Latency
Slow systems lose money. We find where your data gets stuck. We measure latency (the time it takes for data to move from one point to another) and throughput (how much data can move at once).
- Database Query Optimization: We look for slow SQL queries that block your app. We suggest indexes to make searches faster.
- Caching Strategy: We check if you store frequently used data in fast memory like Redis. This stops your database from doing the same work twice.
Security and Compliance
We find weak spots before hackers do. We check your attack surface (the total number of points where an unauthorized user can try to enter data).
- Encryption: We check if you lock data when it is stored (encryption at rest) and when it moves over the internet (encryption in transit).
- IAM Policies: We check "Identity and Access Management." We make sure people and apps only have the permissions they strictly need.
Our Technical Stack
We use industry-standard tools to read your code and watch your system. We do not guess; we measure
Infrastructure as Code (IaC) Analysis
We check how you build your servers
- Terraform & Ansible: We read your configuration files to see if your setup is consistent. We look for drift (when the real system changes away from the configuration files).
- Docker & Kubernetes: We check your containerization (bundling code with its dependencies). We look at your pod health (the status of a group of containers) and resource limits.
- Prometheus & Grafana: We use these to track metrics like CPU usage and memory leaks.
- ELK Stack (Elasticsearch, Logstash, Kibana): We use this to search through logs. We find error patterns that happen over time.
- Distributed Tracing: We use tools like Jaeger to follow a request as it jumps between microservices (small, independent services that talk to each other).
Observability and Monitoring
We use tools to see inside the system while it runs
Database Analysis
We check where your data lives
- PostgreSQL / MySQL: We check schema design and normalization (organizing data to reduce redundancy).
- NoSQL (MongoDB / Cassandra): We check your sharding strategy (splitting data across multiple machines) to ensure it is balanced.
Why an Audit Pays Off
Reduce Cloud Costs
Many systems waste money on idle servers. We find over-provisioned resources (buying more server power than you use). By resizing these instances, we often cut cloud bills by 20% to 30%. We also find "zombie" resources that run but do nothing.
Improve System Uptime
Downtime costs money and trust. We find single points of failure (a part of the system that, if it breaks, stops the whole system). By fixing these, we increase your availability (the percentage of time the system is working). Moving from 99% uptime to 99.9% uptime saves days of lost revenue per year.
Speed Up Development
Bad code is hard to change. This is called technical debt (the implied cost of additional work caused by choosing an easy solution now instead of using a better approach that would take longer). We find messy code and suggest refactoring (cleaning up code without changing what it does). This helps your team add new features faster.
How We Do It
We follow a strict process to ensure we miss nothing. We do not disrupt your live system.
Discovery and Mapping
We start by talking to your team and reading your documentation.
Stakeholder Interviews: We ask your engineers what breaks the most.
Architecture Mapping: We draw a diagram of your current system. We identify the critical path (the sequence of stages determining the minimum time needed for an operation).
Stakeholder Interviews: We ask your engineers what breaks the most.
Architecture Mapping: We draw a diagram of your current system. We identify the critical path (the sequence of stages determining the minimum time needed for an operation).
Static and Dynamic Analysis
We look at the code and the live system.
Code Review: We read your source code. We look for anti-patterns (common responses to a recurring problem that are usually ineffective and risk being highly counterproductive).
Load Testing: We simulate heavy traffic. We use tools like JMeter to see when the system breaks.
Security Scanning: We run automated scripts to find known vulnerabilities.
Code Review: We read your source code. We look for anti-patterns (common responses to a recurring problem that are usually ineffective and risk being highly counterproductive).
Load Testing: We simulate heavy traffic. We use tools like JMeter to see when the system breaks.
Security Scanning: We run automated scripts to find known vulnerabilities.
The Audit Report
We write a detailed document. It is not just a list of problems; it is a plan.
Severity Grading: We rank issues from "Critical" to "Low."
Remediation Roadmap: We give you step-by-step instructions on how to fix the issues.
Cost-Benefit Analysis: We show you which fixes give the biggest return on investment.
Severity Grading: We rank issues from "Critical" to "Low."
Remediation Roadmap: We give you step-by-step instructions on how to fix the issues.
Cost-Benefit Analysis: We show you which fixes give the biggest return on investment.
Remediation Support
We do not just leave you with a PDF. We help you fix it.
Pair Programming: Our architects work with your developers to fix complex code.
Post-Fix Validation: We test the system again to prove the fix works.
Pair Programming: Our architects work with your developers to fix complex code.
Post-Fix Validation: We test the system again to prove the fix works.
FAQ: Common Questions
A code review looks at small pieces of code, usually before they merge into the main project. An architecture audit looks at the whole system. It checks how different parts connect, how data flows, and how the system behaves under stress. It is a high-level view.
It depends on the size of your system. For a small app, it takes about two weeks. For a large enterprise platform with many microservices, it can take four to six weeks. We move fast, but we need time to find deep issues.
No. We do most of our work on staging environments (a copy of your live site used for testing). If we need to test the live site, we do it during low-traffic times. We use read-only access (permission to look at data but not change it) to ensure we do not break anything.
Yes. To do a "White Box" audit, we need to see the code. This lets us find logic errors and security vulnerabilities (flaws that allow attackers to compromise the system). We sign strict non-disclosure agreements (NDAs) to keep your code safe.
Yes. We can just give you the report, or we can help you fix the issues. Many clients ask us to lead the refactoring phase to ensure the changes are done correctly.
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