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Cloud Architecture
Designing how an application is deployed, where state lives, and what happens when one part of it fails.
Service 12 / 08Cloud Application Development
Cloud Applications That Scale Without Becoming Someone's Full-Time Problem
Cloud infrastructure is either invisible or it is the thing everyone is talking about on a Monday morning. Rizing Metrics builds and deploys applications on cloud infrastructure configured to stay in the first category, with the monitoring to catch problems before customers do.
AWS · Docker · CI/CD/Maryland · United States
What is cloud application development?
Cloud application development is the building and deployment of software that runs on managed infrastructure rather than on servers a business owns, using services that scale with demand. It covers writing applications that work when several copies run at once, configuring the infrastructure, and automating deployment.
Service area
Cloud Development for Maryland Businesses and Companies Across the United States
Rizing Metrics provides cloud application development to businesses in St. Mary's County, Calvert County and Charles County, and to companies across the United States.
Cloud work is inherently remote. Where your infrastructure runs matters considerably more than where the team configuring it sits, and we work with clients nationwide on that basis.
Overview
What Is Cloud Application Development?
Cloud application development is the building and deployment of software that runs on managed infrastructure rather than on servers a business owns, using services that scale with demand instead of being sized for a guess at peak load.
Three things make up the work. Writing applications that behave correctly when more than one copy is running. Configuring the infrastructure they run on. Automating deployment so releasing a change is routine rather than an event.
Done well it is unremarkable. Traffic rises, capacity follows, and nobody notices.
Scope of work
What This Service Covers
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Containerisation
Docker-based deployment so the application behaves identically in development, staging and production.
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Automated Deployment
Pipelines that test and release changes, removing the manual steps where mistakes happen.
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Scaling and Load Handling
Configuration that adds capacity under load and removes it afterwards, so you pay for what is used.
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Monitoring and Alerting
Knowing something is wrong before a customer tells you, with enough detail to find the cause.
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Cost Review
Cloud bills grow quietly. We look at what is actually being spent and on what, which usually finds something.
When it applies
When Cloud Work Becomes Necessary
These are the situations that usually prompt a cloud project.
Deployment is manual and nerve-racking
Releases happen at night because the process is fragile. Automating it is usually a few days of work and removes the fear permanently.
Traffic spikes take the site down
Capacity fixed at a guess means either paying for headroom you rarely use or falling over when you need it most.
Nobody is confident what is running where
Infrastructure that accumulated rather than being designed, with services nobody wants to turn off in case something breaks.
The cloud bill keeps rising
Usually a small number of misconfigured resources rather than genuine growth. Worth checking before accepting it.
You find out about outages from customers
No monitoring, or monitoring nobody reads. Either way the first alert should not be a phone call.
Technology
The Stack We Build With
What we work with:
- AWS, including EC2, S3, RDS and Lambda
- Docker for containerisation
- CI/CD pipelines through GitHub Actions
- PostgreSQL and MongoDB as managed services
- Redis for caching and session storage
- Queue-based processing for background work
- Monitoring and structured logging
Most businesses do not need a complex architecture. A well-configured straightforward setup outlasts an elaborate one nobody fully understands.
Process
How a Project Runs
Cloud projects follow this sequence whether they are a migration or a new build.
- 01
Review what exists
Current infrastructure, deployment process, costs and failure points. New builds start instead from the requirements that drive the architecture.
- 02
Design the architecture
What runs where, how it scales, what happens when a component fails, and what it will cost at current and expected volume.
- 03
Build the pipeline
Automated testing and deployment first, so every subsequent change ships through a process that already works.
- 04
Migrate or deploy
Moved in stages where possible, with the ability to roll back at each one.
- 05
Monitor and hand over
Alerting configured, dashboards in place, and documentation your team can act on at two in the morning.
Why us
Why Businesses Choose Rizing Metrics for Cloud Work
Cloud projects are easy to over-engineer. These are the principles we hold to.
The smallest architecture that does the job
Fewer services configured properly beats more services configured partially. An elaborate setup nobody fully understands is a liability, not a capability.
Deployment gets automated first
Set up ahead of everything else, so every later change ships through a process that already works. It removes the category of failure that happens at two in the morning.
We look at what you are actually spending
Cloud bills grow quietly, and the cause is usually a small number of misconfigured or forgotten resources rather than genuine growth. Reviewing it is cheap and nearly always finds something.
Monitoring you will actually read
Alerts tuned so they mean something. Monitoring that cries wolf gets ignored, and then it is worse than none.
Documentation your team can use during an incident
Written for someone woken at three in the morning, not for an architecture review.
If your current setup is fine, we will tell you that too. Migration for its own sake is expensive and disruptive, and not every business needs it.
Frequently asked
Questions about cloud development
Still unsure whether this is the right fit? The free audit answers it with your own data rather than a sales call.
Not always. Where your current setup is stable and costs are reasonable, migration for its own sake is expensive and disruptive. The cases that genuinely benefit are unpredictable traffic, manual deployment, or infrastructure nobody fully understands.
Next step
Tell Us What Breaks Under Load
Describe what happens when traffic rises, how releases currently work, or what your cloud bill looks like compared with last year. We will tell you what is worth changing first.
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