Cloud Application Development Services for Startups & Enterprises

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 (consumers or businesses).

The most popular types of cloud applications include:

• 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

These are the basics of cloud application security. The exact approach and its implementation depend heavily on your data, compliance requirements, and security risks.

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.

In Integrio’s experience, the (very) general breakdown is:

• AWS offers the broadest toolkit among popular providers and is a good choice if you need a 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

This is by no means a clear-cut rulebook for picking the cloud service provider. Integrio’s cloud experts can take a closer look at your needs to advise you on the most suitable provider.

Put simply, legacy modernization involves auditing the system, picking the right approach (rehosting, replatforming, refactoring, rearchitecting, rebuilding), and implementing it. In extreme cases, legacy systems may have to be replaced entirely.

Here’s what this modernization and migration process looks like in practice:

• Audit the system, its data models and dependencies.
• Choose the right approach to make the system cloud-compatible; consider using containerization.
• 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 to the cloud.
• Configure the infrastructure to add autoscaling, load balancing, CI/CD pipelines, security, and disaster recovery.
• Test, refine, and deploy your application; keep monitoring it 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, of course.

Here are the three factors that impact cloud development costs the most:

• Application architecture and complexity. For example, MVPs and internal tools tend to cost less than AI-driven SaaS products.
• Integrations required. A lot of custom integrations means more time spent building APIs or implementing middleware.
• Compliance and security requirements. Stricter requirements tend to drive development costs.

Need an estimate for your particular project? Don’t hesitate to discuss it with Integrio’s cloud experts — we’ll prepare a rough estimate following our in-depth conversation.

A cloud transformation initiative is an organization-wide, strategic undertaking. So, to prepare for one, 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.

Here’s your rough checklist for preparing for a cloud transformation initiative:

• Identify opportunities. Determine how cloud transformation can drive better business outcomes, performance, scalability, or lower operational costs.
• Evaluate your current infrastructure and applications. Pay attention to application complexity, dependencies, and security and compliance requirements.
• Define your cloud strategy. Select the right cloud type (public/private/hybrid) and provider(s); conduct a risk assessment; outline cloud security and governance policies.
• Establish KPIs. Set measurable goals and determine how you’ll track your progress.
• Outline the change management approach. Upskill your teams and foster a cultural shift.

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. You’ll also need to use AIOps/MLOps tools to monitor and manage the model.

Here’s a basic breakdown of the cloud infrastructure you may need:

• Specialized AI servers that support high-speed data movement and high-performance storage with GPUs or TPUs for AI compute
• Data lakes or data warehouses with object storage and caching layers
• MLOps and AIOps platforms to streamline model deployment, change, 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. APIs are the default method for connecting business systems in the cloud, but you can also turn to IPaaS solutions or middleware to make those integrations possible.

Here are these methods, in a nutshell:

• Application programming interfaces (APIs). Third-party tools can offer pre-built APIs, but you may have to develop a custom one. Homegrown systems will also require custom APIs.
• Middleware. This is an extra layer that helps systems interact with each other when a direct connection isn’t possible.
• Integration Platform as a Service (IPaaS). These platforms are cloud-based solutions that support pre-built and custom connectors for system integrations.