Software architecture audits with a clear action plan

Find performance bottlenecks, security gaps and scaling limits. We review your system and deliver prioritized recommendations your engineering team can act on.

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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

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.

How we do it

We agree on the scope, access and test environment before starting, then document findings and practical next steps.

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).

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.

The audit report

You receive a written report with findings ranked by severity, the evidence behind each finding and recommended fixes. A prioritized roadmap helps your engineers decide what to address first, with trade-offs between effort, risk and expected benefit. We agree on the report scope before the audit.

Remediation support

Your team can use the roadmap to implement the fixes. If you need hands-on help, we agree on a separate remediation scope, work alongside your developers and validate the changes against the original findings.

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Frequently asked questions

What would you like to improve in your system?

Share your stack, the symptoms you are seeing and your priorities. We’ll discuss the scope and inputs for an architecture review.