Cloud infrastructure
Infrastructure that keeps your business moving.
A growing product needs more than cloud resources. It needs dependable deployments, clear ownership and capacity that matches demand. We design, deploy and operate that foundation across AWS, Azure and Google Cloud.
Talk to an expertWhat we deliver
Give your team room to build.
Turn infrastructure from recurring operational work into a reliable platform for the product. Architecture, automation and monitoring work together so growth does not depend on manual fixes.
- Architecture and capacity
- Map application dependencies, traffic patterns and recovery requirements. Choose compute, networking and storage around the workload and the business constraints.
- Repeatable delivery
- Build infrastructure as code and deployment automation with clear environment boundaries. Make changes reviewable and reduce configuration drift.
- Operational visibility
- Connect logs, metrics and alerts to the services that matter. Establish 24/7 monitoring and agree on escalation, ownership and recovery procedures.
- Cost and reliability
- Review capacity, scaling policies and recurring spend. Prioritize changes against service objectives rather than optimizing a bill at the expense of the product.
Our approach
A clear path from the first step.
Understand the workload
Assess the current environment, its dependencies and the operational friction. Agree on priorities with your engineering leadership.
Build the foundation
Deliver the architecture and automation in reviewable stages. Validate deployments and recovery paths before extending the rollout.
Operate and improve
Use production signals to refine capacity, reliability and cost. Keep runbooks and ownership aligned as the platform changes.
Our work
The experience behind the service.
Explore the engineering work and business context in our case studies.
Engineering Deprisa’s cloud backbone for logistics at scale.
Cloud rearchitecture on Azure, bringing protected ingress, independent services, governed APIs, and observable operations to Deprisa’s logistics platform.
Read case study SidehustlesCloud infrastructure for data-intensive AI.
How Wagner connected high-volume data ingestion, cloud infrastructure, semantic search, and AI applicant workflows for Sidehustles.
Read case studyCan Wagner work with our existing cloud?
Yes. We work across AWS, Azure and Google Cloud, starting with your current architecture and constraints. A platform change is considered only when the workload and business case justify it.
Is this a managed service or staff augmentation?
We provide cloud services with an agreed scope, delivery responsibilities and operational ownership. Your team stays involved in the decisions while Wagner delivers and operates the infrastructure work.
What does 24/7 monitoring include?
Continuous monitoring of the agreed infrastructure and service signals. Response coverage, escalation paths and service objectives are defined for each engagement; monitoring does not imply a blanket response-time guarantee.
Ready to stabilize and scale your cloud?
Start with a technical conversation about the infrastructure issues creating risk, instability, or friction for your team.
Talk to an expert