AWS architecture & cloud infrastructure
Design, review and improve AWS environments with attention to network layout, account structure, identity, availability, scaling and operational cost.
Cloud infrastructure & DevOps consulting
InfraMettle works with engineering teams on AWS architecture, infrastructure as code, CI/CD, Kubernetes, cloud security and reliability. We can review an existing environment, deliver a defined project, or help improve the way infrastructure is operated over time.
AWS · Terraform · Kubernetes · Helm · Argo CD · CI/CD · Linux · Observability
About the work
Cloud infrastructure rarely becomes difficult all at once. More often, environments grow over time: another account, another pipeline, another exception, another production issue that needs a quick fix. Eventually the system is harder to change than it should be.
InfraMettle helps teams address that work directly. That can mean cleaning up an AWS foundation, moving infrastructure into Terraform, improving deployment pipelines, standardizing Kubernetes workloads, tightening access controls, or making monitoring useful enough to catch problems before customers do.
The goal is not to introduce more tooling. It is to leave the infrastructure clearer, more repeatable and easier for the engineering team to operate.
Services
Engagements can be focused on one area or span the infrastructure lifecycle from architecture through delivery and operations.
Design, review and improve AWS environments with attention to network layout, account structure, identity, availability, scaling and operational cost.
Move infrastructure changes into a versioned workflow so environments can be reviewed, reproduced and changed without relying on manual console work.
Build deployment processes that are understandable and repeatable, with clear promotion, rollback and access patterns for application and infrastructure changes.
Improve EKS and Kubernetes environments, workload standards and platform automation without turning the platform into a separate product teams struggle to use.
Strengthen access, logging and cloud controls while keeping normal engineering work practical. Security improvements are designed into the operating model instead of added as a separate layer.
Make production behavior easier to understand with monitoring, alerting and operational practices that point teams toward the actual problem instead of generating more noise.
Common projects
A project does not need to start with a full transformation program. Most engagements begin with a specific operational or delivery problem.
AWS has grown quickly and there is no consistent pattern for accounts, networking, IAM or environments.
Cloud foundationDeployments still depend on manual steps, long runbooks or credentials that are difficult to manage safely.
DeliveryTerraform exists, but modules, state, ownership and environment structure have become difficult to maintain.
Infrastructure as codeKubernetes is running production workloads, but upgrades, deployment standards and day-to-day operations take too much effort.
PlatformSecurity or audit requirements are increasing and cloud controls need to improve without blocking normal engineering work.
SecurityThere are plenty of dashboards and alerts, but production issues are still hard to diagnose quickly.
ReliabilityCapabilities
InfraMettle works across the cloud, delivery and operations stack. Technology choices are based on the environment and the problem being solved.
VPC · IAM · EC2 · ECS · EKS · Lambda · S3 · RDS/Aurora · Route 53 · CloudFront · load balancing · private connectivity · multi-account environments
Terraform · Docker · Kubernetes · Helm · Linux · infrastructure modules · environment management · policy controls
GitHub Actions · Jenkins · Argo CD · release pipelines · deployment workflows · artifact promotion · role-based deployment access
Metrics · logs · tracing · dashboards · alerting · SLOs · incident review · capacity planning · cloud cost visibility
How we work
Recommendations should fit the application, the team and the operating constraints. A clean diagram is not useful if the system cannot be supported after the project ends.
Look at the architecture, repositories, deployment paths, access model, monitoring and current pain points. The first step is understanding how the environment really works.
Separate immediate risk from longer-term cleanup and agree on the changes that are worth making now. Not every problem needs a platform rewrite.
Make the changes in code, pipelines and cloud configuration with documentation alongside the work. Where possible, operational steps are automated rather than handed off as a runbook.
Leave the team with clear ownership, understandable infrastructure and enough context to operate and extend the environment without depending on a consultant for routine changes.
Contact
Send a short description of the environment, the problem you are trying to solve and any timeline you are working against.
Architecture reviews, project delivery and ongoing cloud / DevOps support.