Achieve better results faster

Serverless is more than a buzzword. In the age of rapid digitalization and globalization, this new technology helps businesses gain a competitive advantage and achieve sustainable results. Keep reading to find out why serverless solutions make sense for your business



Serverless technology is attractive to a wide range of businesses because of its flexibility, adaptability, scalability and economics. Businesses that can benefit from this technology include: :

  • Cash-strapped startups with flexible computing needs
  • Businesses running web applications, real-time analytic pipelines and data processing services
  • Businesses with lighter-weight artificial intelligence applications
  • Businesses in need of back-end computing support for IoT or mobile services
  • Businesses considering a move to the cloud for the first time, or current cloud customers looking to further cost reductions
  • Organizations that generate and process large amounts of data to create computational models


Healthcare & Pharma

Healthcare and pharma companies process large amounts of data on a daily basis. Conquer these data management challenges by modernizing your IT infrastructure. Streamline processes and automate workflows while maintaining the highest standards of security. Take advantage of serverless solutions to improve the following areas:

  • File processing:  Use automated functions to process a wide variety of data sets without the complexity or the expense of building your own file processing systems. Simply upload your data into S3 storage buckets and let AWS Lambda take care of the processing for you. Areas of application include thumbnail generation, video clips, report generation, video content platforms, creating still frames, uploads to cloud storage, or applying cognitive machine learning for object and facial recognition.
  • Data filtering & transformation:  Because Lambda is highly scalable, it is great for transitioning data between S3, Redshift, Kinesis and database services and allows filtering on the fly.
  • Data ingestion pipelines:  Capture HTTP POST requests with data payloads through AWS Kinesis Streams and process the data using more Lambda functions as needed. Create a Samza-like architecture without needing to provision your own Hadoop and Kafka clusters. Process data streams using API Gateway and DynamoDB.
  • App integration:  Connect Facebook’s chat bots to business logic that sends data directly to your CRM, API service or AWS DynamoDB, where it triggers events such as sending follow-up emails after a user performs an action.
  • Process automation:  Define workflow processes and create triggers for automated actions, e.g. image processing, changes to items in storage or databases, or other actions in response to specific events.
  • Data processing:  Perform one-off batch migration or transformation tasks, such as processing continuous data streams or data cleansing, more efficiently. Use the Lambda architecture to analyze click-stream data.
  • Social Analytics:  Easily integrate relevant social web information from multiple sources into your business applications.

  • Machine learning:  Extend data processing to integrate with machine learning services. Cloud Academy uses AWS Lambda as a recommendation engine. Use cases include IoT and AI.
  • Event streaming:  Develop scalable event pipelines without the maintenance of complicated clusters, triggered from pub/sub topics or event logs. Use streaming pipelines to power your analytics systems, update secondary data stores and caches, or feed monitoring systems.
  • Image and video manipulation:  Build performance-enhancing image and video services for any application. Resize images or change video transcoding for different target devices, flag inappropriate content, and scan credit cards for payment. Add facial and image recognition to your applications with Google Cloud Vision API or Amazon Rekognition.
  • SaaS integration:  Integrate SaaS products such as GitHub, Twilio, Auth0 and Stripe. While these providers do not allow running functions on their system, they emit events to which functions can be subscribed. Enhance lead flow by piping user data and activities to Salesforce. Integrate Stripe in your applications. Automate GitHub workflows with functions running as webhook listeners. The possibilities are endless.
  • Polyglot applications:  Add multiple languages to your applications to improve collaboration of polyglot teams and seamlessly integrate specialized services. New languages can be used for new services while still communicating with legacy services as needed.
  • Edge Services:  AWS Greengrass and Lambda@Edge extend compute capabilities to connected devices. Run Lambda functions offline on devices used in the field, extending the meaning of a “global cloud.” This feature is perfect for IoT applications.
  • API development:  Create REST APIs that return data to be consumed by another service or a single-page application. The developer can focus exclusively on writing and deploying code needed to serve the API. Thanks to the pay-what-you-use model, a lightweight, minimally accessed API costs next to nothing.

Finance & Payments

Financial institutions can save time and money with serverless technology. Facilitate everyday tasks and optimize critical operational processes. We provide the foundation for sustainable growth and open the window for new opportunities.

  • Banking:  Improve your check deposit workflow with an elastic, serverless architecture. Switch to a solution that scales up application code instances in response to biweekly payday demands and scales down on low-usage days. Whether you process a hundred or a million checks, event-driven architecture enables you to do so at a small fraction of the compute cost associated with systems using virtual machines and bare metal servers.
  • Real-time analytics:  Accomplish data ingestion – e.g., logs, system events, transactions or user click streams using services such as Amazon Kinesis Streams. Utilize Lambda functions to react to new records in a stream and quickly process, save, or discard data.
  • Scheduled services:  Accomplish repetitive tasks such as file validation, data backups, imports and exports, reminders and alerts by taking advantage of Lambda’s scheduling capability. Simply create a function to achieve the desired outcome, then set and forget.
  • IoT integration:  Save money on your IoT backend infrastructure, from APIs to data collection into S3 buckets to data analysis tasks. A study by the analyst group 451 Research found that serverless cloud services can be more cost efficient under certain conditions.
  • Microservices:  Improve the architecture of your applications by breaking them into task-specific components. By delegating processing tasks away from the main application, you create lightweight protocols that relieve front-end and mobile developers.