01
Cloud Architecture
Design application infrastructure around runtime requirements, services, data, networking, security, scaling, deployment, and production operations.
Service 07
Cloud Architecture
Infrastructure
CI/CD
Observability
Reliability
Cloud Engineering
Infrastructure
built for
production.
Nanexi designs and engineers cloud systems around the software they need to run — combining deployment, compute, data, networking, security, observability, and operational reliability into one production foundation.
Build cloud infrastructureProduction foundation
Cloud is not
just where
software runs.
Production infrastructure determines how software is deployed, connected, observed, secured, recovered, and changed after users begin depending on it.
Nanexi treats cloud architecture as part of the product system — designing infrastructure around actual workloads instead of adding unnecessary complexity before it is needed.
Capabilities
From deployment
to production
operations.
Engineer the infrastructure required to deploy, operate, observe, secure, and evolve modern software systems.
02
Application Infrastructure
Build production environments for web applications, APIs, SaaS platforms, AI systems, background workloads, databases, and supporting services.
03
CI/CD Engineering
Automate build, test, deployment, environment promotion, release, and rollback workflows so software can move safely from development to production.
04
Cloud Networking
Design service connectivity, network boundaries, domains, routing, private communication, ingress, access paths, and application-level network architecture.
05
Observability
Implement logs, metrics, traces, health checks, alerts, error visibility, operational dashboards, and production monitoring around critical systems.
06
Cloud Security
Engineer access control, secrets handling, environment separation, service permissions, secure configuration, and production security foundations.
Cloud principle
Scale the
architecture
with the
problem.
Production infrastructure should be strong enough for the workload without turning every system into a distributed platform before the product actually requires it. Simplicity is an engineering advantage when it preserves reliability and room to evolve.
Workloads
Cloud systems
shaped around
what they run.
Different products create different infrastructure requirements. The architecture should follow the workload, operational risk, data, and user behavior.
Web & SaaS Applications
Infrastructure for customer-facing applications, SaaS platforms, dashboards, APIs, authentication, databases, storage, and background services.
AI Applications
Cloud environments supporting model APIs, retrieval systems, vector search, knowledge stores, background processing, evaluation, and AI workflows.
API Platforms
Reliable infrastructure for backend services, API gateways, application services, external integrations, internal APIs, and service-to-service communication.
Data Systems
Cloud foundations for databases, object storage, data ingestion, transformation pipelines, analytics workloads, search, and processing services.
Automation Workloads
Infrastructure for scheduled jobs, queues, event-driven workflows, background tasks, automation services, and operational integrations.
Internal Platforms
Secure environments for internal applications, administration systems, operational tooling, business software, and organization-specific services.
Cloud architecture
Five layers
behind reliable
production.
Compute is only one piece. Data, networking, delivery, and operations determine how the complete system behaves.
01
Runtime
Applications, APIs, services, jobs, processes, execution environments, compute, and the systems running production workloads.
02
Data
Databases, storage, caches, search systems, backups, persistence, replication, and data access patterns.
03
Network
Routing, service communication, domains, ingress, internal connectivity, access boundaries, and external integrations.
04
Delivery
Build pipelines, deployment workflows, environments, releases, configuration, testing, promotion, and rollback.
05
Operations
Monitoring, security, logging, observability, alerting, health, recovery, access control, and operational response.
Application
Software defines
the workload.
Runtime behavior, APIs, background processing, data access, user activity, AI workloads, and integration patterns determine what the infrastructure actually needs to support.
Infrastructure
Cloud supports
the workload.
Infrastructure should provide the compute, data, connectivity, security, observability, and deployment model needed by the application without hiding unnecessary complexity underneath it.
Software delivery
Deployment
should be a
system.
Reliable delivery means teams can move changes from code to production through a repeatable process with clear environments, automated validation, controlled configuration, and a recovery path when something goes wrong.
Automated builds
Environment separation
Deployment pipelines
Configuration management
Release validation
Production health checks
Rollback strategy
Deployment visibility
Observability
Know what
production is
doing.
Infrastructure becomes difficult to operate when failures are invisible. Logs, metrics, traces, health checks, and application-level signals should make it possible to understand the system before debugging becomes guesswork.
Logs
Capture meaningful application, deployment, service, and failure events so production behavior can be inspected.
Metrics
Track availability, latency, errors, workload behavior, resource pressure, queue health, and application performance.
Alerts
Surface conditions that require attention without turning every normal variation in the system into an operational incident.
Cloud security
Security is
infrastructure
behavior.
Secure production systems depend on how credentials, permissions, environments, services, network access, configuration, data, and operational access are designed together.
Least-privilege access
Secrets management
Environment isolation
Service permissions
Secure configuration
Protected production access
Backup strategy
Operational visibility
Reliability
Design for
failure before
failure arrives.
Networks fail. Deployments fail. External services become unavailable. Processes crash. Data becomes inconsistent. Reliable architecture defines how the system responds instead of assuming everything remains healthy forever.
01
Detect
Make health, errors, failures, and degraded behavior visible.
02
Contain
Prevent one failing component from unnecessarily affecting the complete system.
03
Recover
Define retries, restart behavior, rollback, backups, restoration, and recovery paths.
04
Improve
Use production evidence to strengthen architecture instead of repeatedly fixing the same failure.
Engineering process
From workload
to production
environment.
01
Assess
Understand the application, workloads, traffic, data, integrations, environments, security requirements, deployment model, and operational constraints.
02
Architect
Design compute, data, network, deployment, security, observability, environment, and scaling architecture around the real system.
03
Implement
Build cloud resources, deployment workflows, application environments, configuration, monitoring, integrations, and operational tooling.
04
Validate
Test deployment, permissions, failure states, recovery, health checks, connectivity, performance, configuration, and production readiness.
05
Operate
Monitor production behavior, improve reliability, optimize architecture, refine deployment, and evolve infrastructure as the product changes.
Cloud principles
How we think
about production
infrastructure.
01
Infrastructure follows the workload
02
Automate repeatable deployment
03
Separate environments clearly
04
Observe systems before they fail
05
Minimize unnecessary complexity
06
Design recovery into production
Related services
Build what
runs on the
infrastructure.
01
Custom Software Development
Build the applications, APIs, workflows, business systems, and backend services running on the cloud foundation.
02
Data Engineering
Engineer the databases, ingestion, storage, transformations, pipelines, and data infrastructure behind modern applications.
03
Product Engineering
Bring product experience, application engineering, data, cloud, and production delivery together into one complete system.
Cloud Engineering
Build the
foundation
behind the
product.
Tell us what your application runs, how it is deployed, and where production infrastructure is creating friction. We can shape the cloud, delivery, security, and reliability architecture around the workload.