CLOUD INFRASTRUCTURE
Scalable Deployment Ops.
Architecting resilient cloud systems, serverless deployments, and secure scalable data operations.
ABOUT CLOUD INFRASTRUCTURE
[ Overview ]
Netstatic Solutions designs and operates the cloud infrastructure that applications run on. We help teams move from fragile, hand-configured servers to repeatable, secure and observable environments, whether that means a first production deployment or a migration of an existing system to the cloud.
We work primarily on AWS and are comfortable with containers, Kubernetes, serverless platforms and managed databases. Infrastructure is defined as code with tools such as Terraform, so environments can be reviewed, reproduced and changed safely instead of depending on manual console steps.
Cost and security are designed in, not added later. We size resources to real workloads, set up monitoring and alerting, apply least-privilege access and backup strategies, and document how everything runs, so your team understands and can confidently operate what we build.
WHAT WE DELIVER
[ Capabilities ]
Cloud Architecture
We design cloud architectures covering networking, compute, storage and identity, choosing managed services where they reduce operational burden and balancing resilience against cost for your workload.
Serverless Systems
We build event-driven systems on AWS Lambda, API Gateway and managed queues, which scale with demand and remove most server management for suitable workloads.
Docker / Containers
We containerise applications with Docker and run them on Kubernetes or managed container services, giving consistent environments from development to production and straightforward scaling.
CI/CD Pipelines
We automate build, test, security checks and deployment using GitHub Actions or similar tools, enabling frequent, low-risk releases with easy rollback.
Database Scaling
We tune and scale relational and NoSQL databases using indexing, read replicas, caching, partitioning and managed services, and plan backups, failover and safe migrations.
Security Ops
We apply least-privilege access, secret management, network segmentation, logging and vulnerability scanning, designed to support your security policies and audit requirements.
BUSINESS BENEFITS
[ Why It Matters ]
Repeatable environments
Infrastructure as code makes staging and production consistent and lets you rebuild or extend environments quickly.
Safer, faster releases
Automated pipelines run tests and checks on every change, reducing manual steps and the risk of deployment mistakes.
Cost awareness
Right-sizing, autoscaling and usage monitoring help avoid paying for idle capacity and surface unexpected spend early.
Visibility into production
Metrics, logs, traces and alerts show how systems behave, so issues are found and fixed before users report them.
OUR PROCESS
[ How We Work ]
- PHASE_01
Discovery and Infrastructure Audit
We review current systems, traffic patterns, costs, risks and compliance needs, and agree on goals such as migration, reliability or cost reduction.
- PHASE_02
Architecture and Security Design
We design the target architecture, network layout, access model, backup and recovery approach, and define the infrastructure-as-code structure.
- PHASE_03
Build and Migration
We provision environments with Terraform, containerise workloads, set up pipelines, and migrate services and data in controlled stages with rollback options.
- PHASE_04
Testing and Hardening
We load test, verify backups and failover, scan for vulnerabilities, and tune monitoring and alerts before moving production traffic.
- PHASE_05
Launch and Ongoing Operations
We cut over with a runbook, provide documentation and training, and offer ongoing monitoring, patching and optimisation as support.
TECH STACK
[ Technology ]
Cloud Platforms
Containers and Automation
Data and Observability
USE CASES
[ In Practice ]
Migrating from a single server
An application on one manually managed server is containerised and moved to a managed, load-balanced environment with automated deployments.
Event-driven backend
Uploaded files trigger serverless functions that process data and write results to a database, scaling automatically with volume.
Kubernetes platform for microservices
Multiple services run on Kubernetes with autoscaling, centralised logging and per-service pipelines for independent releases.
Database performance and scaling
A slow, growing database is tuned and given read replicas and caching, with a tested backup and failover process.
WHERE WE APPLY IT
[ Industries ]
COMMON QUESTIONS
[ FAQ ]
Which cloud provider should we choose?
Do we really need Kubernetes?
How do you reduce cloud costs?
How do you handle downtime during migration?
Can you support compliance requirements such as SOC 2 or ISO 27001?
RELATED SERVICES
[ Explore More ]
Let's Build
Together.
Tell us what you need and we will scope the right cloud infrastructure solution for your business.