Availability
Design redundancy and failover around workload recovery objectives, then test dependency loss and regional or service failure instead of assuming the platform will recover automatically.
Cloud & Infrastructure
Cloud & Infrastructure
Cloud architecture, migration, platform engineering, reliability, networks and cost control.
Apps
Platform
Compute
Network
Observe
Recover
When this is useful
Use cloud and infrastructure engineering when applications, data or AI need a dependable environment for compute, networking, storage, deployment and recovery. Architecture choices should follow workload needs, security boundaries, resilience targets and cost rather than cloud fashion.
How the environment is organized
This reference shows one possible Cloud and Infrastructure arrangement. The actual design depends on the systems, constraints and controls involved.
01Applications
02Platform services
03Compute & data
04Network & identity
05Observability
06Resilience
What matters in production
Cost
Connect infrastructure spend to environments, services and workload demand so reliability choices can be weighed against their ongoing cost.
Security
Apply identity, network, secrets and configuration controls as infrastructure is created so security does not depend on later manual correction.
Recovery
Define recovery objectives, restore procedures and ownership for infrastructure services, then test the recovery path instead of assuming backups are enough.
What Gromnii builds
Cloud architecture
Place Cloud architecture according to workload, data, latency and resilience requirements.
Infrastructure as code
Define cloud networks, compute, policies and managed services through versioned templates so environments can be rebuilt consistently and configuration drift is visible.
Containers & compute
Automate repeatable build and change steps for containers and compute so environments remain consistent.
Monitoring
Monitor workload health, dependency state, capacity and cost using service-level context so infrastructure alarms are tied to real application impact.
Backup & recovery
Design backup and recovery around recovery objectives, failure domains, restore testing and operating ownership so the service can recover predictably when components fail.
What it can improve
More reliable hosting
Design compute, network, storage and recovery around the failure modes that matter to the applications using them.
Repeatable infrastructure change
Use infrastructure as code and controlled deployment practices so environments can be reproduced and reviewed.
Clearer operating cost
Connect capacity and service choices to workload demand so infrastructure cost remains visible as systems grow.
Additional technical detail
Technical implementation notes for Cloud and Infrastructure.
Show additional technical detail
A production environment, layer by layer
The architecture is arranged from applications down through services, compute, data, network, security, observability, and recovery.
01Applications
Business and AI workloads.
02Services
APIs and internal services.
03Compute
Runtime and scaling layer.
04Data
Databases, storage, retrieval.
05Network
Connectivity and segmentation.
06Security
Identity and protection controls.
07Monitoring
Health, performance, logs.
08Recovery
Backup, restore, continuity.
Cloud and infrastructure capabilities
A production environment is only as dependable as the way compute, data, networking, monitoring, backup, and recovery work together.
01Cloud architecture and migration
Design target environments, migration sequencing, dependencies, and rollback paths around the application and operating requirements.
02AWS, Microsoft Azure, and Google Cloud environments
Architect services on the cloud platform that best fits existing systems, skills, security, and workload needs.
03Application and database hosting, storage, backup, and recovery
Connect runtime, data, storage, backup, and restoration into a recoverable production environment.
04High availability, monitoring, and cost optimization
Balance uptime, observability, capacity, and cloud spend instead of optimizing any one dimension in isolation.
Where infrastructure design matters
Cloud architecture should reflect workload behaviour, resilience needs, security boundaries, skills, and cost constraints.
Unreliable hosting foundations
Applications need more resilient infrastructure, backup, and operational visibility.
Migration risk
Systems need to move to cloud environments without unnecessary disruption.
Operational continuity
Design monitoring, backup, recovery, and resilience around the real workload.
Stable layers underneath the workload
Applications become dependable when compute, data, networking, security, monitoring, and recovery are designed together.
Applicationsbusiness + AI workloads
ServicesAPIs + runtime
Datastorage + databases
Network / Securityidentity + connectivity
Monitoring / Recoveryoperate + restore
Availability
Architecture for continuity and resilience.
Observability
Understand health, performance, and failure.
Recovery
Backup, restore, and continuity planning.
Cost control
Match infrastructure to real workload needs.
Related solutions and industries
Discuss a Project
Describe what needs to change and the conditions Cloud and Infrastructure must work within. The technology choice can follow from that context.