Cloud & AWS Testing Services
A misconfigured security group, a broken auto-scaling policy, or an untested failover path can take your entire application offline in seconds. These bugs never show up in development. They surface under real production load, during a traffic spike, or worse, during an actual incident.
- 01AWS service integration testing
- 02Auto-scaling and failover
- 03Infrastructure as code validation
- 04Cost and performance monitoring
- 05Security group and IAM testing
Your cloud works in staging. What about under real pressure?
We test your AWS infrastructure the way real incidents test it. Normal load, sudden spikes, component failures, region failovers, and full disaster recovery. If something is going to break, we find it before your users do.
That includes Terraform and CloudFormation validation, AWS service configurations, auto-scaling rules, security groups, IAM policies, and DR procedures. You get a clear picture of what holds up and what needs fixing.
What We Test on Cloud & AWS
A comprehensive breakdown of every testing area we cover for this platform.
AWS Service Testing
- โEC2, ECS, EKS configuration validation
- โRDS failover and backup testing
- โS3 bucket policy and access control
- โLambda function testing and limits
Auto-Scaling & Resilience
- โScale-out trigger validation
- โScale-in and cooldown period testing
- โLoad balancer health check accuracy
- โCircuit breaker pattern validation
Security Configuration
- โSecurity group rule validation
- โIAM policy least-privilege review
- โVPC network isolation testing
- โEncryption at rest and in transit
Infrastructure as Code
- โTerraform plan and apply validation
- โCloudFormation stack testing
- โDrift detection and remediation
- โIaC security scanning (tfsec, checkov)
Disaster Recovery
- โRTO and RPO validation
- โMulti-region failover testing
- โBackup restoration accuracy
- โDatabase failover timing
Cost & Performance
- โResource utilisation analysis
- โReserved instance optimisation
- โData transfer cost analysis
- โPerformance baseline establishment
How We Test This Platform
A structured process with clear deliverables at every stage.
We review your architecture first
We go through your AWS architecture, IaC code, and security configuration to understand what you have, find the risk areas, and plan the test scenarios that actually matter.
We scan your IaC before it deploys
Static analysis of your Terraform and CloudFormation code catches security misconfigurations, deprecated resources, and best practice violations before anything hits a real environment.
We validate every AWS service config
We deploy into a non-production environment and verify each AWS service behaves the way it is configured. If a setting is wrong, we find it here.
We run chaos engineering experiments
We inject controlled failures: terminating instances, blocking network paths, simulating service outages. Then we watch how the system responds and document every gap.
We audit security groups and IAM policies
Both automated scanning and manual review of security groups, IAM roles, and network configs. We look for misconfigurations, overly broad permissions, and anything that could be exploited.
We test your disaster recovery for real
We simulate actual failure scenarios, fail over to secondary regions, restore from backups, and measure your real RTO and RPO against the targets you have set.
Technology Stack for This Platform
We are tool-agnostic. we always select the best technology for your specific needs.
Real Bug Examples We Catch on Cloud & AWS
Real issues we find regularly. bugs that cost businesses money or reputation.
Common Questions
Everything you need to know about how we test this platform.
Have a specific question?
We're happy to discuss your platform, tech stack, and testing needs in a free 30-min discovery call. no commitment required.
Book a Free Call โWe work in your non-production environments (dev, staging). For security testing we use a separate sandbox account. We never touch your production environment.
Related Platforms
Other platforms we test that are commonly used alongside this one.
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