Fix performance issues, improve interoperability, or prepare the product for future expansion with our thorough cloud architecture review and modernization. We’ll identify what undermines your system’s efficiency and reliability, help you prioritize modernization tasks, and execute them without disrupting your day-to-day operations.
Cloud Application Development Services for Startups & Enterprises
Launch a brand-new AI-based product or SaaS platform, scale an existing one, or migrate a legacy system to the cloud with Integrio.
We don’t just build cost-effective, scalable, and reliable cloud apps; we help you navigate tradeoffs among costs, resource allocation, user experience, and performance. Our AWS, Google Cloud, and Azure experts are here to provide experience-driven cloud migration advice, optimize your current cloud operations, or develop and deploy your new cloud app.
Minimize cloud app development risks, keep your cloud costs under control, and turn your cloud app into a long-term asset with Integrio.
Let’s Talk CloudWhy Pick Integrio for Cloud Development Services?
20+ years of proven track record in cloud app development, including AI, SaaS, and business software systems.
Specialists in AWS, Azure, and Google Cloud infrastructure, services, and migration.
150+ projects deployed to the cloud, from complex enterprise systems to solutions for midsize businesses and startups.
Security-focused approach with vulnerability assessments and secure cloud development.
Compliance expertise spanning SOC 2, ISO 27001, GDPR, PIPEDA, HIPAA, PCI DSS, and other industry-specific requirements across Canadian, U.S., and European markets.
14 years in DevOps and CI/CD implementation for new and existing systems.
Why Do Businesses Increasingly Opt for the Cloud?
Up to40%
lower infrastructure costs with proper optimization
3x
faster software deployments
24/7/365
automated monitoring and incident readiness
Up to50%
fewer manual infrastructure management tasks with automation
Near-instant
environment provisioning with autoscaling
100%
support for AI and data-driven products
All the Cloud Application Services You May Need
Planning to modernize? Need to deal with cloud cost creep? Have a product idea ready for development? We can help you with all of that — and more.
What You Get with Our Cloud App Development Services
Not all cloud apps are made equal. Here’s how we design and build cloud apps that actually become valuable assets for startups and enterprises alike.
Geographic redundancy
A server, availability zone, or entire cloud region can go offline for many reasons, and that’s why we don’t put all eggs in the same basket. We design cloud applications with geographic redundancy in mind, storing data in multiple locations to protect your business continuity in the event of outages.
Future-proof infrastructure
Your application has to serve your needs long-term — without becoming a burden. That’s why we emphasize scalability and flexibility from the get-go. In practice, that means following the tenets of modular design, containerization, and clear separation of concerns.
Vendor independence
One cloud vendor may be a good fit now, but your priorities and their service offerings can shift at any point in the future. We prevent vendor lock-in by designing a vendor-agnostic architecture and making every engineering decision with flexibility and interoperability in mind.
Optimized resource allocation
A poorly designed cloud application will cost you more than it should in the long run. That’s why we consider resource allocation and costs when preparing software architectures, all while balancing them with performance and scalability.
Data sovereignty
Chances are high that your cloud application handles highly sensitive corporate and/or user data. We’ll protect it in line with applicable data sovereignty, residency, and localization regulations — and lay the foundation for future changes to help you keep it compliant as laws evolve.
Regulatory alignment
Our compliance experts carefully study applicable regulations and translate those requirements into technical specs before a single line of code is written. We have tons of experience building products that comply with GDPR, HIPAA, PCI DSS, CCPA, and PIPEDA, to name a few.
Cloud Software Development Services for Both New and Existing Systems
The wealth of our experience means we can tackle any project, whether it involves building an application from scratch or improving, optimizing, scaling, or migrating an existing one.
Building new cloud-based products
Got a brand-new SaaS product idea that needs real-world testing? We’ll build a flexible yet scalable MVP to help you validate it. Want to support internal operations with cloud-based enterprise software? We’ll make sure it fully aligns with your goals, constraints, and challenges.
Modernizing legacy applications
A once-innovative legacy system has become a financial burden and a barrier to progress? We’ll analyze its current state to select the right path forward for moving it to the cloud. Legacy modernization also creates an opportunity to integrate AI capabilities that improve workflows, unlock new insights, and extend the value of existing software.
How We Design, Build, and Scale Cloud Solutions
Our clients know exactly what to expect from our process. We’ll guide you through it in detail upfront — and keep you in the loop as we’re working on your project.
Discovery & cloud strategy
No two projects are exactly the same. To pick the right approach to yours, we kick it off with a thorough discovery phase.
- Defining business goals, constraints, needs, and desired outcomes
- Auditing the existing systems, their limitations and capabilities
- Identifying security and compliance requirements
- Defining key integration points with third-party and internal systems
- Outlining detailed technical and business requirements, our deliverables, and the project’s timeline
Architecture & infrastructure planning
We keep the particularities of cloud app development — elasticity, resilience, and distributed compute — in mind as we design new applications or enhancements to existing ones.
- Selecting the right architectural approach
- Choosing the most suitable toolchain for version control, containerization, CI/CD monitoring, security, etc.
- Planning a single-cloud, multi-cloud, or hybrid infrastructure plan
- Identifying the appropriate integration methods
Development & integration
This is where the magic happens. Our designers create the interface, our developers write backend and frontend code, and our QA specialists put the solution through a battery of tests.
- Preparing UI/UX design for the system’s interface and iteratively improving it
- Writing backend and frontend code in sprints
- Integrating the system with third-party and internal systems as needed
- Integrating business logic with cloud services
- Continuously testing the new code using automated and manual tests
Automation & deployment
To accelerate future updates and preserve software quality, we set up CI/CD, security, and monitoring automations before the rollout.
- Creating automated tests
- Implementing Infrastructure as Code (IaC) for easy provisioning and support
- Setting up automated code quality checks and delivery processes
- Configuring monitoring, alerts, disaster recovery, and rollbacks
- Rolling out the system to sandbox first and production after validation
Monitoring & evolution
We keep a close eye on the now-live system, applying hotfixes as needed. Per your request, we can also move into the supporting role long-term.
- Monitoring the application’s health, performance, and cloud costs
- Applying hotfixes when necessary
- Maintaining the application with technical updates
- Adding new features and capabilities as needed
Cloud App Development Expertise Across Providers
As experts in AWS, Azure, and Google Cloud, we’re well-acquainted with their strengths and limitations. We’ll help you pick the right vendor, all while preventing vendor lock-in.
AWS
As the pioneer in cloud services, AWS offers the broadest service catalog to date. We’ll help you make sense of it, leverage its expansive third-party integration ecosystem, and take advantage of its industry-specific compliance certifications.
Microsoft Azure
Already using Microsoft technologies? Azure may be the best choice for you. We’ll double-check to make sure — and determine whether robust enterprise hybrid cloud tools or the Microsoft-OpenAI partnership are a decisive advantage for your project.
Google Cloud
Google Cloud is a popular choice for startups looking for the simplest pricing model. We’ll assess future costs to see whether Google Cloud makes financial sense for your case — and help you leverage its AI/ML tools, data analytics capabilities, and Kubernetes-native architecture.
Technologies We Work With
Amazon Web Services
Elastic Kubernetes Service (EKS)
Lambda
Redshift
Elastic Compute Cloud (EC2)
Simple Storage Service (S3)
Identity and Access Management (IAM)
CloudWatch
Relational Database Service (RDS)Microsoft Azure
Azure Kubernetes Service (AKS)
Azure AI Services
Azure Functions
Azure DevOps
Azure SQL Database
Azure App Service
Azure Virtual Machines
Azure Active DirectoryGoogle Cloud Platform
Google Kubernetes Engine (GKE)
BigQuery
Vertex AI
Cloud Run
Cloud Functions
Cloud SQL
Compute Engine
Cloud StorageKeep Your Next Cloud
Project Predictable
with Integrio
With our team, you won’t have to worry about potential disruptions, delays, or cost overruns. We have a mitigation plan for every risk to safeguard your business interests.
Let’s Discuss Your ProjectFAQ
Most applications can be deployed in the cloud, especially since it offers instant scalability and support for data-intensive features (AI/ML, data analytics, GenAI). Those applications largely fall into two categories: software for internal use and SaaS products marketed to external users.
- Customer relationship management (CRM) systems for streamlining customer interactions
- Marketing platforms for automating marketing campaigns
- Intelligent content and collaboration tools for automating workflows across teams
First and foremost, your team should evaluate security risks during migration planning and prepare a mitigation strategy for each of them. The typical security provisions include:
- Identity and access management: Zero-trust architecture, principle of least privilege, multi-factor authentication
- Data protection: Encryption at rest and in transit with strict key management protocols
- Pipeline and infrastructure security: IaC testing to remove misconfigurations, dedicated vaults for secrets management
There’s no one-size-fits-all answer here; which cloud platform is best for you depends on your needs. To pick the right cloud platform, you’ll need to analyze your budget constraints, required tech capabilities, and the software you’re already using.
- AWS offers the broadest toolkit among popular providers and is a good choice for highly scalable infrastructure for data-heavy workloads.
- Azure is a suitable option if you’re already using Microsoft technologies or planning an enterprise hybrid cloud setup.
- Google Cloud usually fits the needs of startups and offers advanced AI/ML and data analytics capabilities.
Put simply, legacy modernization involves auditing the system, picking the right approach, and implementing it. In extreme cases, legacy systems may have to be replaced entirely.
- Audit the system, its data models and dependencies.
- Choose the right approach to make the system cloud-compatible.
- Introduce changes to the codebase to implement the approach you’ve selected.
- Migrate the code, first as a pilot project and then as a full migration.
- Configure autoscaling, load balancing, CI/CD pipelines, security, and disaster recovery.
- Test, refine, deploy, and monitor the application after deployment.
Cloud app development costs hinge on the project’s scope, which in turn determines the time and skills required to complete it. Your choice of the development partner will also impact the costs.
- Application architecture and complexity. MVPs and internal tools tend to cost less than AI-driven SaaS products.
- Integrations required. Custom integrations mean more time spent building APIs or implementing middleware.
- Compliance and security requirements. Stricter requirements tend to drive development costs.
A cloud transformation initiative is an organization-wide, strategic undertaking. You’ll have to set clear long-term goals, evaluate and modernize your tech estate, establish cloud governance and security policies, upskill your teams, and manage change.
- Identify opportunities and business outcomes.
- Evaluate current infrastructure and applications.
- Define your cloud strategy and risk assessment.
- Establish KPIs and tracking methods.
- Outline the change management approach.
Solutions with AI/ML capabilities require cloud infrastructure that can support accelerated compute and high-throughput storage. That usually means using GPUs or TPUs, high-performance SSDs, and data lakes.
- Specialized AI servers with high-speed data movement and GPU or TPU compute
- Data lakes or data warehouses with object storage and caching layers
- MLOps and AIOps platforms to streamline model deployment, monitoring, and management
Yes, you can unify data from multiple business systems in a single cloud environment. That’s a solid way to break data silos, enable cross-system workflows, and automate processes.
- Application programming interfaces (APIs). Third-party tools can offer pre-built APIs, but custom APIs may be required.
- Middleware. This extra layer helps systems interact when a direct connection isn’t possible.
- Integration Platform as a Service (IPaaS). Cloud-based platforms support pre-built and custom connectors for integrations.
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