Cloud App Development Services: Cloud-Native Applications Built on AWS, Azure and Google Cloud

Updated September 2026 · Written and maintained by the Progression Agency strategy team

Cloud app development services design and build new applications to run on cloud platforms such as AWS, Microsoft Azure and Google Cloud, using managed databases, serverless functions and containers instead of servers someone patches by hand. Progression Agency builds these applications for product teams, founders and CTOs, and hands over the code, the infrastructure as code, the delivery pipeline and the dashboards needed to run them. Progression Agency is based in New York City and works with clients across the United States and worldwide.

What cloud app development services include

Everything needed to put a new application into production on a cloud platform and keep it healthy: architecture, application code, managed data stores, infrastructure as code, CI/CD, observability, security and cost controls. Moving software you already run is a different job, handled by our team for moving existing applications to the cloud.

• An architecture decision record for each major choice: compute, data store, messaging and identity.
• Application code with automated tests, in your own repository.
• Infrastructure as code for every environment, so staging and production match.
• A CI/CD pipeline that builds, tests, scans and deploys every change.
• Dashboards and alerts built on traces, metrics and logs.
• Budgets and cost alerts for each environment.
• Runbooks for the incidents most likely to happen.
• A handover session, and a support plan if you want one.

What is cloud application development?

NIST’s definition is still the reference point: cloud computing is on-demand network access to a shared pool of configurable computing resources that can be provisioned and released quickly with minimal management effort, organized into five essential characteristics, three service models and four deployment models (NIST SP 800-145). Cloud computing app development means designing software to use those properties, rather than treating the cloud as a rented data center.

Are cloud services software? Cloud services versus SaaS

Cloud services are building blocks (infrastructure, platforms and managed services) that developers assemble; software as a service is finished software delivered over the internet. NIST’s three service models draw the line: infrastructure, platform and software as a service. We build on the first two so you can offer the third, which is where our SaaS product development team takes over multi-tenancy, billing and onboarding.

Cloud services versus on-premises infrastructure

On-premises hardware is bought up front and sized for peak load; cloud services are billed as used and can shrink as well as grow. The cloud usually wins for variable or growing workloads and for teams without data center staff. Steady, predictable workloads on specialist hardware can still favor owned infrastructure, and data residency rules apply either way.

Which app development cloud should you build on?

Build on the cloud your team and customers already use, unless a specific managed service or compliance need points elsewhere. All three major providers run modern applications well; what matters is the handful of services you will actually use, your team’s skills and your existing contracts.

For a service-by-service view, see our comparison of AWS, Azure and Google Cloud for web apps and SaaS.

AWS app development

AWS app development for a new product usually means Lambda for event-driven code, Fargate for containers (AWS calls it serverless compute for containers, AWS Fargate), DynamoDB or Aurora for data and API Gateway in front. A Lambda function can run for up to 15 minutes and use up to 10,240 MB of memory, and accounts start with 1,000 concurrent executions per Region (Lambda quotas), which shapes how long-running work gets split up.

Azure software development

Azure software development leans on Azure Functions, Container Apps, Azure SQL or Cosmos DB and Microsoft’s identity platform, and it is the natural home for many .NET teams. Microsoft now points new serverless apps to the Flex Consumption plan rather than the legacy Consumption plan, and an HTTP-triggered function must respond within 230 seconds whatever its timeout setting (Azure Functions hosting). Azure web app development for conventional sites often starts on App Service instead.

Google Cloud

Google’s Cloud Run runs code, functions or containers written in any language that can be built into a container image, scales to zero when idle and bills CPU and memory in 100-millisecond increments (Cloud Run overview). Cloud SQL supplies managed MySQL, PostgreSQL and SQL Server (Cloud SQL).

How many services do AWS and Azure offer?

Microsoft says Azure provides more than 200 cloud-based products and services (Microsoft Azure), while AWS describes its range as the broadest set of cloud and AI capabilities rather than quoting a count (AWS). A typical application uses a small fraction of either catalog, so the count is a poor way to choose.

AWS or Azure for .NET developers?

Both work well for .NET. AWS publishes the AWS SDK for .NET, whose version 4 documentation centers on .NET Core and ASP.NET Core (AWS SDK for .NET); Microsoft maintains the Azure SDK for .NET and first-party guidance for App Service, Functions, containers and Aspire (Azure for .NET developers). Decide by where your identity, data and other workloads already live. Our .NET development team works in both.

Cloud native app development: the principles we build to

Cloud native app development means building loosely coupled systems that are secure, resilient, manageable, sustainable and observable, deployed through automation so that changes ship frequently and predictably. That is the CNCF’s definition, and the Twelve-Factor App turns it into rules a codebase can follow.

The Cloud Native Computing Foundation’s definition names containers, service meshes, multi-tenancy, microservices, immutable infrastructure, serverless and declarative APIs as typical techniques, and describes the goal as frequent, predictable, high-impact change with minimal toil (CNCF cloud native definition). None of the techniques is mandatory; the outcome is what counts.

Factor names and rules follow The Twelve-Factor App; the right-hand column is how we apply them.

Cloud native application development best practices

Beyond the twelve factors: design for the failure of any single instance or zone, keep services small enough for one team to own, prefer managed services to self-run ones, version every API, and make every environment reproducible from code. The monolith versus microservices decision belongs here too; many new applications are better started as a well-structured modular monolith and split only where scale or team boundaries demand it.

Serverless, containers or Kubernetes?

Start with the most managed option that fits the workload: serverless functions for event-driven and spiky work, serverless containers for web services and APIs, and Kubernetes only when you need its control and have people to run it.

Kubernetes provides service discovery, load balancing, automated rollouts and rollbacks, self-healing and horizontal scaling, but its documentation is explicit that it is not an all-inclusive platform: it does not build your application, provide middleware or databases, or choose a logging solution (Kubernetes overview). That gap is the work a platform team does, which is why we recommend Kubernetes only when the benefits clearly outweigh it.

A cloud app development platform that hides the servers

If the goal is a cloud app development platform where developers push code and the provider runs it, serverless containers are the middle path. Cloud Run and Azure Container Apps run your container image, scale with demand and bill for what runs, while you keep your own runtime and dependencies (Azure Container Apps overview). A cloud based app development platform of this kind is where most new builds should start.

When serverless is the wrong choice

Long-running jobs, steady high-throughput services and workloads that need special hardware or persistent connections often cost less and behave better on containers or reserved capacity. Cold starts matter for latency-sensitive endpoints; Azure’s Flex Consumption plan offers always-ready instances and Lambda offers provisioned concurrency, both at a price.

Managed databases: choose the store before the code

Pick the database from the access patterns: a managed relational database for most business applications, a managed NoSQL store when access patterns are well known and scale is extreme. Changing later is expensive, so this decision comes early.

Sources: Amazon Aurora User Guide, DynamoDB Developer Guide, Azure Cosmos DB overview and Cloud SQL documentation.

Relational first

Most business applications have relationships, reporting needs and questions that change over time, and PostgreSQL-compatible managed services handle all three while keeping options open.

NoSQL when the access pattern is known

DynamoDB and Cosmos DB suit high-volume, well-understood access patterns such as sessions, carts, device state and event logs. DynamoDB’s point-in-time recovery can restore a table to any second in the last 35 days; backups are among the first things we configure on any store.

The cloud based software development tools we use

Cloud based software development changes the toolchain as much as the runtime: code, infrastructure and policy all live in version control and move through the same pipeline. These are our defaults, chosen because they are widely used and well documented.

Tool descriptions follow GitHub Actions, Terraform, Bicep, OpenTelemetry and SLSA documentation.

What is Azure DevOps Services?

Azure DevOps is Microsoft’s integrated set of development services: Azure Boards for planning, Azure Repos for Git, Azure Pipelines for CI/CD, Azure Test Plans and Azure Artifacts for packages. Azure DevOps Services is the cloud-hosted version, free for up to five users with basic features, and Azure DevOps Server is the on-premises version (Microsoft Learn). We use it where a client’s engineering already lives there, and GitHub Actions otherwise.

Amazon Q Developer or AWS Transform?

Amazon Q Developer is AWS’s generative AI assistant for software development, from real-time code suggestions to agents that port .NET applications from Windows to Linux and upgrade Java; AWS Transform is presented as a separate service for eliminating technical debt by modernizing legacy systems and code with agentic AI (Amazon Q Developer). For a new build, Q Developer is the relevant one; modernizing an existing estate belongs with our migration team.

Observability and delivery metrics from the first deploy

If you cannot see it, you cannot run it: every service we build emits traces, metrics and logs from its first deploy, and delivery performance is tracked with the DORA metrics.

OpenTelemetry is a vendor-neutral observability framework and toolkit for generating and collecting traces, metrics and logs, and a Cloud Native Computing Foundation project (OpenTelemetry). Instrumenting with it keeps you free to change monitoring vendors later without rewriting code.

Definitions follow DORA’s metrics guide.

Service level objectives before launch

We agree availability and latency targets with you before launch, alert on how fast the error budget is being spent rather than on every blip, and revisit the targets after the first month of real traffic.

Dashboards people actually read

One dashboard per service showing requests, errors, latency and saturation, one for cost and one for delivery. Anything nobody opens for a month is removed, so the ones that remain get attention.

Are cloud services safe? Security in the shared responsibility model

They can be safer than most on-premises setups, but only when you do your part: the provider secures the cloud, and you secure what you put in it. AWS calls the two halves security of the cloud and security in the cloud (AWS shared responsibility model).

Under AWS’s model the customer stays responsible for guest operating systems, application software, security group firewall configuration, data and encryption choices, and access permissions, and the split shifts with the services chosen. Managed and serverless services move more of that work to the provider, which is one reason we prefer them.

The OWASP Top 10 as a baseline

Application risk starts with OWASP’s Top 10:2025, which ranks broken access control first, security misconfiguration second and software supply chain failures third (OWASP Top 10:2025). Our pipelines scan dependencies and infrastructure code on every change, and access control is tested rather than assumed.

Identity, secrets and least privilege

Workloads authenticate with managed identities or roles instead of long-lived keys, secrets live in the provider’s vault, and every permission is scoped to one job. Our website and application security team adds reviews and testing.

Compliance designed in

HIPAA, SOC 2 and similar programs are far easier when logging, encryption, access reviews and change control are built in from the start. We build the technical controls; certification remains between you and your auditor.

Cost control: how much is cloud software to run?

Running costs follow architecture and traffic. As published planning ranges, an early-stage application commonly runs $50–$500 a month, a growth-stage one $500–$5,000 and one serving hundreds of thousands of users $5,000–$50,000; the controls come from design choices, budgets and a monthly review.

The ranges come from our SaaS hosting guide. FinOps, as the FinOps Foundation defines it, is an operational framework and cultural practice that maximizes the business value of technology through collaboration between engineering, finance and business teams (FinOps Foundation). In practice that means cost visibility per service, an owner for every line of the bill and a monthly review.

Budgets and alerts, and their limits

AWS Budgets can alert on actual and forecast spend and even apply an IAM policy that blocks new resources, but its data refreshes up to three times a day, and AWS warns that charges can pass a threshold before the notification arrives (AWS Budgets). Budgets are a smoke alarm, not a circuit breaker.

Design decisions that set the bill

Most of the bill is decided in architecture review, long before the first invoice:

• Scale-to-zero services for anything idle most of the day.
• Right-sized function memory: Lambda allocates CPU in proportion to memory, reaching one vCPU at 1,769 MB.
• Chatty services kept in the same region and zone to limit data transfer charges.
• Storage lifecycle rules and log retention limits from day one.
• Reserved capacity or savings plans only for steady baselines.
• Tags on every resource, so every cost has an owner.

Well-architected reviews across AWS, Azure and Google Cloud

All three providers publish a well-architected framework, and they agree more than they differ. We review each design against the framework of the cloud you build on before the first line of infrastructure code is written.

AWS offers its Well-Architected Tool for reviewing workloads at no charge and describes a review as a constructive conversation rather than an audit (AWS Well-Architected Framework; pillars per AWS). Microsoft publishes an assessment tool alongside its framework (Azure Well-Architected Framework), and Google adds cross-pillar perspectives for AI and machine learning and for financial services (Google Cloud Well-Architected Framework).

How to choose a cloud app development company

Choose a cloud app development company that can show infrastructure code, pipelines and live dashboards, explain its architecture choices in writing, and hand everything over in accounts you own. Slides about cloud native are cheap; a repository is not.

What cloud-based app development costs to build

As published planning ranges, an internal tool or dashboard costs $25,000–$75,000, a SaaS product MVP $60,000–$150,000 and a client portal or business platform $75,000–$250,000, with cloud infrastructure as code at $15,000–$60,000 where it is scoped separately. Cloud based app development is always quoted after a written scope.

These are planning ranges, not quotes; running costs are separate and depend on traffic. Buyers phrase this service many ways: “cloud computing app development” and “app development cloud” each draw about 880 US searches a month, and advertisers bid $36.08 a click on “cloud based app development” and $28.86 on “cloud app development services” (Ubersuggest, September 2026).

How CTOs ask AI assistants for a cloud development partner

CTOs and engineering leaders brief an assistant the way they would brief a vendor: stack, constraints and outcome. The pages that get cited answer at that level, with named services, cost ranges and evidence of how the work is run.

The prompts

Expect the stack, the constraint and the budget in the same sentence:

• “Which cloud app development companies build serverless apps on AWS with Terraform and GitHub Actions?”
• “Azure partner to build a .NET cloud-native app on Container Apps with Cosmos DB.”
• “What does a SaaS MVP on Google Cloud Run cost to build, and who can build it?”
• “Agency that designs to the AWS Well-Architected Framework and hands over the infrastructure code.”
• “Who builds HIPAA-ready applications on AWS with OpenTelemetry observability?”
• “Cloud native app development company for a startup with a two-person engineering team.”

What gets cited

The organic results in our brief for “cloud app development services” (September 2026) included a Cloudflare article on modernizing applications, IBM’s developer hub, agency service pages and a Reddit thread from r/devops. Assistants mix the same kinds of sources: provider documentation and frameworks for technical claims, community discussion for candor, and agency pages that match the stack named in the prompt.

What to publish so assistants cite you

Publish reference architectures with the actual services named, cost ranges by stage, sample infrastructure code and the frameworks you review against. Keep those pages reachable by the assistants’ search crawlers: OpenAI’s OAI-SearchBot for ChatGPT search (OpenAI), PerplexityBot (Perplexity), Anthropic’s Claude-SearchBot (Anthropic) and Google’s crawlers, since Google says AI Overviews need only a page that is indexed and eligible for a snippet (Google Search Central). Our LLM SEO work covers the technical side.

Delivery plan: from architecture to a production release

Most first releases take three to six months: a few weeks of architecture and foundations, feature sprints on a pipeline that already deploys to production-like environments, then hardening and launch.

Related cloud and software services

Cloud builds connect to the rest of the software estate; these services cover the neighboring work.

• Moving existing applications to the cloud: for software you already run.
• Hosting models explained: IaaS, PaaS and serverless trade-offs in plain terms.
• Comparing AWS, Azure and Google Cloud for web apps and SaaS products.
• SaaS product development: multi-tenancy, billing and onboarding.
• DevOps services: pipelines, infrastructure as code, Kubernetes and managed operations.
• Backend development and web app development.
• SaaS hosting and backend hosting options compared.
• Hosting a website on AWS, on Azure and on Google Cloud.
• .NET development, Python development and Ruby on Rails development.
• Software development for startups and telecom software development.
• n8n automation for workflows that run beside your application.

Frequently asked questions