Infrastructure That Scales Without the Firefighting
We design, build, and operate cloud infrastructure on AWS, Azure, and GCP. Kubernetes clusters, CI/CD pipelines, monitoring, and incident response, so your team ships features instead of debugging deployments.
Your infrastructure shouldn’t be a bottleneck
Deployments that take half a day. Servers that go down at 2am with no one knowing why. A staging environment that hasn’t matched production in months. Developers waiting on infrastructure tickets instead of writing code. These are symptoms of infrastructure that grew organically without architecture. It worked when you had three developers and one server. It doesn’t work when you have thirty developers, multiple services, and customers who expect 99.9% uptime. The fix isn’t hiring a dedicated DevOps team. It’s building the right foundation so your existing team can move faster.
Deployments are manual, slow, and nerve-wracking. Someone has to babysit them.
Nobody fully understands the production environment because it was set up ad hoc
Your staging environment doesn’t match production, so bugs slip through
Scaling means SSH-ing into servers and manually provisioning resources
When something breaks at night, it takes hours to figure out what went wrong
What we deliver
Infrastructure defined in code, deployed automatically, and monitored continuously. Every engagement includes documentation, runbooks, and knowledge transfer. Systems your team can operate without us in the room.
How we run Kubernetes in production
A deployed cluster is not a production system. These are the five layers we configure on every Kubernetes engagement, in order.
Cluster design
Architecture before anything is provisioned. We define node pool strategy, namespace structure, network policies, and resource quotas based on your actual workloads, not a generic template.
- Managed (EKS, GKE, AKS) or self-hosted on your cloud account
- Network plugin chosen for your traffic patterns
- Namespace isolation and RBAC configured from the start
Workload configuration
Every workload properly specified. Deployment manifests, StatefulSets, DaemonSets, Jobs, and CronJobs configured with resource limits, health probes, and pod disruption budgets.
- CPU and memory limits on every container
- Liveness, readiness, and startup probes
- Pod disruption budgets for safe rolling updates
GitOps & CI/CD
ArgoCD-driven deployments where cluster state is always declared in Git. Automated pipelines build, test, and promote changes through environments with zero-downtime rollouts.
- ArgoCD or Flux for GitOps-based continuous delivery
- Automated rollback on failed health checks
- Per-branch preview environments for staging
Auto-scaling
HPA, VPA, and Cluster Autoscaler configured around your real traffic patterns, not defaults. Scale pods on CPU, memory, or custom metrics. Add nodes only when the workload demands it.
- Horizontal Pod Autoscaler on CPU and custom metrics
- Cluster Autoscaler with cost-aware node pool rules
- Scale-to-zero for non-critical background workloads
Observability stack
Prometheus, Grafana, and Loki deployed into the cluster before the first workload goes live. Metrics, logs, and alerting in place from day one, not after the first incident.
- Prometheus and Grafana for metrics and dashboards
- Loki for structured log aggregation per pod
- Alertmanager rules tied to your uptime SLAs
Infrastructure capabilities
CI/CD pipeline engineering
Automated build, test, and deploy pipelines that give your team confidence to ship multiple times per day. Branch-based environments, automated testing gates, and zero-downtime deployments.
Container orchestration
Kubernetes and ECS clusters configured for your workload patterns. Auto-scaling, health checks, rolling deployments, and resource limits that prevent one service from taking down others.
Infrastructure-as-code
Every piece of infrastructure defined in Terraform or Pulumi, version-controlled, and reproducible. No more snowflake servers or manual console changes that nobody documents.
Cloud architecture
Multi-account strategies, VPC design, networking, and service selection across AWS, Azure, and GCP. Architecture decisions based on your actual requirements, not what’s trending.
Observability & monitoring
Structured logging, distributed tracing, metrics dashboards, and alerting with context. When something breaks, your team knows what happened and where, typically within minutes.
Access controls & secrets management
IAM configuration, secrets management, environment isolation, and network access controls are part of every infrastructure build, not an optional add-on. For dedicated security audits, penetration testing, or compliance certification, we work alongside specialist security firms.
Cost management
Resource right-sizing, reserved instance strategies, spot instance automation, and cost allocation tagging. We’ve cut cloud bills by 30–50% for clients who were over-provisioned.
Disaster recovery
Backup strategies, multi-region failover, RTO/RPO planning, and regular recovery testing. Because untested backups aren’t backups.
How we build infrastructure
Audit & architecture
We map your current infrastructure, identify bottlenecks, and design a target architecture. Cost analysis, configuration review, and a migration plan with minimal disruption.
Build & migrate
Infrastructure-as-code, CI/CD pipelines, container configuration, and monitoring, all built iteratively. Workloads migrate with rollback plans and validation at every step.
Operate & optimise
Ongoing monitoring, incident response support, cost optimisation reviews, and infrastructure evolution as your needs change. Documentation and training so your team isn’t dependent on us.
Infrastructure we’ve built
Multi-service deployment platform
Kubernetes cluster running 15+ microservices with automated deployments, canary releases, and per-branch staging environments for a fintech platform.
Cloud migration from on-premise
Migrated a retail chain’s entire infrastructure from co-located servers to AWS over 12 weeks with zero downtime and 40% cost reduction.
CI/CD for regulated industries
Deployment pipelines with approval gates and full audit trails for a healthcare SaaS platform operating under Australian privacy requirements.
Disaster recovery implementation
Multi-region active-passive setup with automated failover, achieving 99.99% uptime SLA for a logistics company’s booking system.
Cost optimisation engagement
Reduced a $45,000/month AWS bill to $18,000/month through right-sizing, reserved instances, and architectural changes. No performance impact.
Infrastructure stack
Cloud providers
Containers & orchestration
Infrastructure-as-code
CI/CD
Monitoring
Access & secrets
What changes for your team
Deployments in minutes, not hours
Automated pipelines that build, test, and deploy with a single merge. Your developers ship features, not fight infrastructure.
Incidents resolved before customers notice
Monitoring with context-rich alerts that tell your team what broke and where, plus runbooks that guide the fix.
Cloud costs you can predict and control
Right-sized resources, cost allocation by team and project, and automated scaling that matches actual demand.
Infrastructure your team can understand
Everything defined in code, documented, and version-controlled. No more tribal knowledge about server configurations.
See how we've delivered for other clients.
Real projects with measurable outcomes, not hypothetical scenarios.
Infrastructure holding you back?
Whether you’re migrating to the cloud, fixing deployment bottlenecks, or cutting costs, we can design infrastructure that scales with your business.
Talk to a cloud engineer