Cloud Application Development Services

Cloud-based development is about building software that runs on a virtual server or cloud. A cloud-based application is flexible, scalable, and easy to share, as you can access it from any device and location over the Internet. Also, it is cost-efficient, as you don’t need to maintain your physical server and infrastructure. All major cloud platforms offer various services, building blocks, and tools for end users and developers.

Yes, we build different SaaS applications that are located and hosted in the cloud. Our cloud computing software development services include creating SaaS solutions based on the most popular cloud platforms and infrastructure services.

With their rising popularity, IoT and cloud technologies have found wide applications in many industries. For example, by coordinating work through the cloud, companies can efficiently use outsourcing and outstaffing services, reducing operating costs. Here are some other examples of the business challenges IoT cloud solutions can solve.

Car-sharing and delivery services tap into scalable IoT cloud applications to add multiple users and provide real-time data about vehicles, user locations, and delivery status. Logistics and warehouse management systems employ IoT with cloud services to control supply chains, monitor the condition of goods, and optimize the storage process.

IoT cloud solutions with data analytics and machine learning technologies are widely used for predictive maintenance in industrial automation. Gathering data from sensors installed on equipment can help analyze the condition of the machinery to predict its wear and tear and prevent failures.

Smart farming solutions combine IoT networks with advanced algorithms to grow, harvest, and store crops. They collect sensor data, process it in the cloud, and analyze environmental conditions to decide how much water or fertilizer to use.

IoT networks can comprise plenty of sensors and devices that should effectively communicate with each other. Implementing the cloud provides strong connectivity between IoT components and speeds up data transfer. Clouds can contain unlimited storage space, which allows users to scale their IoT networks by adding as many devices as possible.

We establish reliable connections between IoT devices and the cloud. The device data is collected and sent to the cloud, where it is processed and visualized on a dashboard in real-time. Our cloud solutions can collect different types of information, including device metadata (ID), telemetry (sensor data), and state information (battery state and other parameters of the device). Data analysis can be conducted with the help of machine learning algorithms for big data processing. The analytics can help users detect patterns, track trends, and evaluate and improve the performance of their system.

Even though much depends on a specific use case and implementation, cloud hosting has some advantages over a local solution. First and foremost, using cloud hosting can be money-saving – you can cut monthly expenses on maintaining onsite servers and pay only for the services and storage space you really need. If you’re planning to expand your business, you can always scale up your resources with cloud hosting solutions. Conversely, you can scale them down easily. Cloud servers provide regular data backups, fast recovery times, and minimal data loss. On top of that, cloud hosting features high data accessibility and availability.

Edge computing has faster processing and better responsiveness and can be an excellent alternative to cloud computing. However, there are still some benefits that you can get from processing data and running apps in the cloud.

First, cloud computing allows for high scalability – you can scale your application as needed, maintaining a high level of performance. Second, cloud computing is a cost-effective solution – you can save money on server deployment and maintenance and use a variety of cloud services without buying your own. Third, cloud resources are easy to access and share, which is important when users are in different locations and far apart. In addition, the cloud makes it possible to store vast amounts of data.

We work with many cloud platforms and services, including AWS, Microsoft Azure, Google Cloud, IBM Cloud, Oracle Cloud, Digital Ocean, Verizon Cloud, and other services, either chosen by the team or suggested by our clients.

Our software engineers use a rich array of databases to build cloud applications. They include:

• Amazon RDS (Relational Database Service) provider
• Google Cloud SQL provider
• IBM Db2 in the Cloud
• Oracle Database
• Microsoft Azure SQL Database
• MySQL
• PostgreSQL
• MongoDB
• DynamoDB

Integrating a voice or virtual assistant (VA) into an IoT solution is one of the more common tasks we complete within our cloud application services. We build a cloud back-end and API to embed a VA in an IoT system so that users can manage devices by voice. We can also integrate Google Assistant, Alexa, Siri, and other virtual assistants.

We design cloud dashboards, consoles, and human-machine interfaces (HMIs) that assist users in managing smart systems and accessing data from multiple devices and locations. For dashboard development, we leverage Grafana, Tipboard, and Mozaik, to name a few. Visualizing data depends on a particular project and the required use of this data.

Yes, we can. We help our clients scale their cloud apps and add multiple users without compromising their processing power or responsiveness. When developing cloud architecture, we choose the right tools and services to save costs and achieve stable operation for a scalable application.