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Talk with a senior engineer about your product idea, architecture, and what it would take to build it.
6
years on the market
73%
new clients come from referrals
510+
finished projects
80+
software engineers
Services we offer
- 01Cloud Computing Solutions
> ENTERPRISE CLOUD ARCHITECTURE <
Cloud computing solutions give Austin teams a practical way to run applications, data platforms, and computing services without depending only on physical servers or on premises infrastructure. A public cloud is a type of cloud computing where a cloud service provider makes computing resources available to users over the public internet, allowing shared access and flexible capacity. A private cloud is dedicated to a single customer, with stronger control over resources and enhanced security for strict regulatory compliance needs. Hybrid cloud combines public and private cloud environments, allowing organizations to use the benefits of cloud from each model while keeping control over sensitive data and applications. Multicloud means using multiple cloud services from different cloud vendors, which helps avoid vendor lock in and lets teams choose the best cloud platform for each workload.
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Many Small and Medium Sized Businesses in Austin lack the internal IT staff to create cloud environments from scratch, so architecture decisions can become slow, costly, and risky. SoftDoes maps business objectives to AWS infrastructure design, Microsoft Azure, Google Cloud, private cloud, serverless computing, container orchestration, and hybrid environments. Cloud computing relies heavily on virtualization technology, which allows multiple virtual machines to run on a single physical server, optimizing resources and reducing costs.
- AWS infrastructure design
- Azure platform optimization
- Multicloud strategies
- Serverless computing
- Container orchestration
> CLOUD COST OPTIMIZATION <
How can we control cloud spend while maintaining performance, compliance, and the resources needed for daily business operations? Effective cost optimization connects usage monitoring, rightsizing, reserved capacity, tagging, and governance so cloud computing services support business objectives instead of creating waste.
- Usage monitoring
- Reserved instance planning
- Resource rightsizing
- Cost allocation strategies
- 02DevOps & Cloud Infrastructure
> DEVOPS AND CLOUD INFRASTRUCTURE <
DevOps and cloud infrastructure connect software development, operations, automation, and cloud deployment into one controlled workflow. Instead of manually changing virtual servers, teams use Infrastructure as Code, CI/CD, automated testing, monitoring solutions, and security automation. This reduces hidden configuration drift across multiple environments and makes every change easier to review. Infrastructure as a Service gives on demand access to fundamental computing resources over the internet on a pay as you go basis, allowing users to adjust resources without high upfront capital expenditures. Platform as a Service gives software developers a cloud platform to create, release, and manage cloud applications without maintaining the underlying infrastructure.
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Austin companies often need faster releases, cleaner audit trails, and environments that development teams can reproduce with confidence. We set up cloud technologies so cloud computing removes repetitive infrastructure work while preserving technical control. Software as a Service gives users access to software applications over the internet through a browser, without needing to install or manage the software locally. Serverless computing, also called Function as a Service, allows developers to run application code without managing servers, automatically adjusts resources based on demand, and charges only for resources used during execution. Our DevOps work covers public and private clouds, operating system level concerns, cloud based services, SaaS applications, and the supporting infrastructure around them.
- CI/CD pipeline setup
- Infrastructure as code
- Kubernetes management
- Monitoring solutions
- Security automation
- 03Cloud Migration Services
> CLOUD MIGRATION SERVICES <
Cloud migration services move applications, data storage, databases, and IT infrastructure into the right cloud model without treating every workload the same. Some systems fit a direct move to virtual machines, while others need replatforming, refactoring, serverless computing, or container orchestration. Public hyperscalers offer rapid capacity and remove maintenance burdens, whereas hybrid or local solutions allow specialized data isolation and physical infrastructure control. Moving to the cloud helps companies optimize IT costs by eliminating the capital expense of buying hardware and software and setting up and running onsite data centers. Cloud computing also allows organizations to offload some or all the expense and effort of purchasing, installing, configuring, and managing on premises infrastructure, enabling them to pay only for what they use.
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A migration can fail when dependencies are unknown, data transfer is unsafe, cutover timing is rushed, or the team lacks deep expertise in cloud services. SoftDoes starts with discovery, application mapping, data migration planning, risk review, and a practical target architecture. By migrating IT resources and applications to the cloud, organizations can improve operational efficiency and cost efficiency because traditional data centers require significant power and cooling resources. Cloud computing gives organizations the ability to adjust cloud infrastructure quickly in response to changing business demands, with efficient resource allocation during peak and quiet periods. With cloud technologies, organizations can provision vast amounts of computing power in minutes, so teams can respond to demand changes without long capacity planning cycles.
- Legacy system assessment
- Data migration planning
- Application modernization
- Zero downtime migrations
- Post migration optimization
- 04Managed Cloud Services
> MANAGED CLOUD SERVICES <
Managed cloud services cover the daily care of cloud infrastructure after cloud deployment, including monitoring, patching, security management, cost optimization, backup, access control, and compliance maintenance. The cloud computing model offers greater flexibility compared with traditional on premises infrastructure, allowing businesses to adjust computing resources without the burden of managing physical hardware. SoftDoes watches performance signals such as latency, memory, CPU, error rates, logs, and potential threats. Cloud computing simplifies data backup and disaster recovery processes by allowing data to be mirrored at multiple redundant sites within the cloud provider network, which improves business continuity.
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Cost work is part of management, not a late cleanup. We review idle resources, unused storage, oversized virtual machines, data transfer patterns, reserved instance planning, and cost allocation strategies. Cloud computing offers cost effective redundancy to protect data against system failures and gives the physical distance required for recovery strategies during regional incidents. For businesses that require absolute control over data sovereignty, strict regulatory compliance, or flat rate pricing, several regional providers offer hosted private infrastructure. Our managed approach keeps the cloud useful after launch, with operational efficiency, business continuity, and security controls tied to real business needs.
- Performance monitoring
- Cost optimization
- Security management
- Backup and disaster recovery
- Compliance maintenance
> ENTERPRISE CLOUD ARCHITECTURE <
Cloud computing solutions give Austin teams a practical way to run applications, data platforms, and computing services without depending only on physical servers or on premises infrastructure. A public cloud is a type of cloud computing where a cloud service provider makes computing resources available to users over the public internet, allowing shared access and flexible capacity. A private cloud is dedicated to a single customer, with stronger control over resources and enhanced security for strict regulatory compliance needs. Hybrid cloud combines public and private cloud environments, allowing organizations to use the benefits of cloud from each model while keeping control over sensitive data and applications. Multicloud means using multiple cloud services from different cloud vendors, which helps avoid vendor lock in and lets teams choose the best cloud platform for each workload.
--
Many Small and Medium Sized Businesses in Austin lack the internal IT staff to create cloud environments from scratch, so architecture decisions can become slow, costly, and risky. SoftDoes maps business objectives to AWS infrastructure design, Microsoft Azure, Google Cloud, private cloud, serverless computing, container orchestration, and hybrid environments. Cloud computing relies heavily on virtualization technology, which allows multiple virtual machines to run on a single physical server, optimizing resources and reducing costs.
- AWS infrastructure design
- Azure platform optimization
- Multicloud strategies
- Serverless computing
- Container orchestration
> CLOUD COST OPTIMIZATION <
How can we control cloud spend while maintaining performance, compliance, and the resources needed for daily business operations? Effective cost optimization connects usage monitoring, rightsizing, reserved capacity, tagging, and governance so cloud computing services support business objectives instead of creating waste.
- Usage monitoring
- Reserved instance planning
- Resource rightsizing
- Cost allocation strategies
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
Regulated teams need cloud security, encryption, audit logs, and controlled access for sensitive records. We shape cloud services around compliance, data sovereignty, and business continuity.
Healthcare
Care teams often need HIPAA compliance, data security, secure backup, and reliable integrations. We design cloud infrastructure for protected data, strict access rules, and safer workflows.
Education
Learning platforms need student data protection, controlled access, and capacity during enrollment or course activity peaks. We support cloud applications, data storage, and cost aware planning.
Construction
Field teams need mobile access, project management tools, media storage, and reliable sync across job sites. Cloud based services help crews work with plans, photos, sensors, and updates.
Technology
Product teams need development environments, CI/CD, observability, and fast experimentation. We support cloud infrastructure for microservices, serverless computing, and data platforms.
Startups
Early teams need cost effectiveness, lean cloud deployment, and room for product changes. We help choose cloud provider options that fit testing, launch, usage bursts, and future funding plans.
Compliance
Compliance focused systems need regulatory requirements, data governance, traceability, and third party review. We align cloud technologies with policies, contracts, controls, and audit needs.
Energy
Operational teams often need IoT data analytics, edge processing, and high volume time series storage. We connect cloud services, data sources, machine learning, and secure data pipelines.
Transparency at each stage
Discovery & Alignment
Defined goals and a precise roadmap ensure your vision is realized without unexpected pivots or hidden costs.
Technical Strategy
Senior engineers select the optimal tech stack with clear architectural reasoning for long-term scalability.
Iterative Development
Gain real-time access to code and staging environments with regular demos to track every milestone as it happens.
Careful Testing
Receive transparent QA, security, and performance audits to ensure a flawless and stable launch every time.
Deployment & Support
Stay in total control with full documentation and proactive monitoring to keep your systems running at peak performance.
Numbers Don’t Lie
Recent projects showcasing how we design, engineer, and deliver production-ready software solutions.

WHAT IT WAS LIKE TO BUILD TOGETHER
Direct feedback from founders and product owners – including our partners right here in Austin, TX – after shipping, scaling, and maintaining real production systems.
WHAT CHANGED IN PRACTICE
Clients didn’t stay because of promises. They stayed because delivery became predictable, ownership was clear, and the product kept moving forward after launch.
- 01Direct Access to Senior Engineers
You work with senior cloud engineers who understand architecture, code, infrastructure, and security controls. We do not hide the technical work behind account handoffs. Cloud computing decisions affect operating system choices, data storage, cloud applications, and long term cost patterns. Our engineers review the actual systems, not only a slide deck. That hands on experience reduces guesswork when public cloud services, private and public clouds, or bare metal servers must work together. The result is clearer technical judgment from the first meeting.
- 02Predictable Delivery
A cloud project should not feel vague. We define milestones, dependencies, access needs, migration windows, security checkpoints, and acceptance criteria before the work moves forward. Each phase has visible progress through project boards, written updates, and technical reviews. When risks appear, we explain the effect on schedule, scope, compliance, and cloud infrastructure. This helps business leaders make decisions without waiting for hidden information. Predictability comes from engineering discipline, not from optimistic estimates.
- 03Built to Last Past Launch
Cloud infrastructure should remain understandable after the first release. We use Infrastructure as Code, monitoring, documentation, modular design, and automated checks so future teams can maintain the system. This matters when cloud applications expand into artificial intelligence, machine learning, data analytics, or new software applications. We also consider backup, business continuity, access policies, and cost optimization early. Cloud computing enables organizations to use current innovations, including generative AI and quantum computing, for competitive advantage when the foundation is ready. Good architecture keeps future choices open.
- 04No Babysitting Required
The right cloud environment should not depend on constant manual attention. We configure alerts, dashboards, automated recovery steps, security automation, and clear runbooks. Routine actions can be handled through policies instead of repeated manual work. That improves operational efficiency and helps teams focus on software instead of checking remote servers every hour. Monitoring also helps detect potential threats before they become larger incidents. If you want managed cloud services after launch, SoftDoes can continue as a technical partner.
Frequently Asked Questions
How is communication handled during cloud projects?
Communication is structured around the cloud project stage. We use scheduled meetings, written status updates, project boards, and architecture reviews so each stakeholder sees the same facts. For cloud infrastructure work, we document decisions about access, security, data storage, and cloud deployment. Risks are raised early, especially if compliance, cost optimization, or business continuity could be affected. Technical questions go directly to engineers when deeper review is needed. You always know what changed, what is blocked, and what comes next.
What types of cloud computing projects are a good fit for SoftDoes?
SoftDoes works on cloud computing projects of many sizes, from one application to a full migration across multiple environments. We help with cloud native systems, hybrid cloud, private cloud, public cloud services, data platforms, AI related infrastructure, and modernization of older software. Some clients need a new cloud platform, while others need better control of an existing setup. We also support cloud services around custom software development. The common fit is a need for careful engineering and clear ownership. If the work has technical risk, we can help define the path.
How do you help us optimize cloud costs after migration?
Cost optimization starts with visibility. We review usage monitoring, resource rightsizing, reserved instance planning, storage tiers, idle services, and data transfer patterns. Tags and cost allocation strategies help connect cloud spend to teams, products, or business objectives. Automation can turn off non production environments when they are not needed. We also compare public cloud, hybrid cloud, and private cloud choices when cost or control needs change. The goal is to optimize costs without weakening security, performance, or compliance.
How do you handle scope changes in cloud projects?
Scope changes are normal, but they need a clear process. We document the requested change, review technical impact, and explain effects on timeline, risk, cost, access, and cloud infrastructure. If the change touches data migration, security, or compliance, we add extra review before approval. Stakeholders sign off before work continues under the revised plan. This keeps cloud deployment controlled instead of reactive. It also protects development teams from unclear priorities.
What happens after cloud infrastructure launch?
After launch, the work moves into monitoring, tuning, security review, backup checks, and ongoing cost optimization. We verify that alerts, dashboards, access policies, and runbooks are working as intended. Performance data is reviewed against the business needs that started the project. If the cloud platform supports machine learning, data analytics, or AI agents, we watch computing power and storage use closely. Training and documentation help internal teams take over with confidence. Managed cloud services are available if you want continued support.
Who owns the cloud infrastructure accounts and configurations?
The client should own the cloud accounts, billing relationships, digital assets, and core configurations. SoftDoes can work inside your AWS, Microsoft Azure, Google Cloud, private cloud, or hybrid cloud environment with controlled access. Infrastructure as Code, documentation, access notes, and configuration details are transferred to your team. Secrets management and permissions are handled through agreed policies. This avoids vendor lock in and keeps your cloud provider choices open. We can still manage the environment if that matches your operating model.
What makes SoftDoes different from a typical cloud agency?
SoftDoes combines cloud infrastructure, software development, data engineering, and AI knowledge in one technical workflow. We look at the application, the underlying infrastructure, the data sources, and the business operations together. That matters when cloud computing services must support more than hosting. Our engineers can work across public cloud, private cloud, hybrid environments, virtual machines, containers, and serverless computing. We also pay close attention to Texas compliance requirements and Austin data center options. The relationship is practical, direct, and engineering led.
How do you price cloud computing projects?
Pricing depends on scope clarity, technical risk, timeline, and the cloud services involved. Well defined phases can use fixed pricing, while exploratory architecture, migration discovery, or uncertain legacy work may fit time and materials. We separate engineering effort from cloud provider costs so you can see what is ours and what belongs to cloud vendors. Estimates include assumptions, exclusions, and risk notes. Scope changes are handled through documented approval. We do not add specific prices before understanding the system.
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How I Built SoftDoes. From Solo Developer to Custom Software Development Company
In 2019, I was a freelance software engineer working from a small apartment in Ukraine. Today, I lead SoftDoes, a 70+ person AI focused <a href='https://softdoes.com/'>custom software development company</a> headquartered in Kansas City, Missouri. This is the story of how I built it, project by project, client by client, through a war and across continents.
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