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Design Serverless Architecture

Scalable, cost-efficient systems that leverage serverless platforms to remove infrastructure management burdens and make applications more flexible.

AWS Lambda & Azure Functions

Executing the code on AWS or Azure Functions as an event occurs, without the necessity of purchasing or maintaining physical servers.

Serverless Framework Integration

Use of the Serverless Framework for streamlined deployment, management, and monitoring of serverless applications across multiple cloud providers.

Event-Driven Deployments

Architecting systems that automatically trigger functions in response to events such as HTTP requests, database updates, or message queues.

API Gateway Configuration

Configuration of API Gateway for managing, routing and securing API requests against serverless functions that would thus be perfectly integrated with the clients.

Serverless Monitoring & Optimization

Monitoring and optimizing serverless applications through tracking function performance, reducing latency, and ensuring cost-efficiency.

Where Challenges Rise,
Solutions Thrive

  • Resource Constraints

    Serverless platforms possess resource limits, making the design of applications optimal.

  • Security Risks

    Due to shared infrastructure and potential exposures, data security and access controls must be sound.

  • Interoperability with Legacy

    Connecting the new serverless application with the old legacy system is not an easy task and time-consuming.

  • Local Development with Testing and Debug

    Simulating the serverless production environment is challenging for localized debugging and testing purposes.

  • Limited Execution Time

    Many serverless functions have execution time limits, making them unsuitable for long-running tasks.

Optimizing Your Operations for Peak Performance
Complex Problems, Meets Success

Cost Effectiveness

You only pay for the consumption of resources during the execution of the function, thereby saving idle infrastructure.

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Scalability

Automatic scaling to adapt to peak workloads without human interference to ensure high performance especially in situations when there is a traffic surge.

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Flexibility in Development

Enables developers to code in a variety of programming languages and frameworks supported by the serverless platform.

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Security

The serverless model minimizes vulnerabilities by having security features and by executing within an isolated environment.

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Simplified Updates and Maintenance

Automatically managed infrastructure avoids hassle in updates while minimizing efforts toward maintenance.

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Case Study

Building Up the Inflight E-Commerce of Panasonic Aero with AWS Robust Infrastructure

Enhanced the production environment of Panasonic Aero with scalable AWS solutions, automated deployment setups, and optimized CI/CD pipelines with parallel configurations to support high availability, fault tolerance, and cost efficiency.

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FAQs

In traditional hosting, developers manage infrastructure and scale manually or automatically. In serverless, the cloud provider fully manages scaling and server provisioning.
Languages supported depend on the provider. Popular options include Python, Java, JavaScript/Node.js, Go, Ruby, and C#.
Billing is typically based on the number of requests, execution time, and memory usage of the functions. There are no upfront or idle charges.
Monitoring tools like AWS CloudWatch, Azure Monitor, or third-party solutions like Datadog can help track performance, log errors, and analyze resource usage.
Yes, serverless applications can integrate with databases like Amazon DynamoDB, Firebase, or Aurora Serverless. Traditional databases can also be used, though they may require additional configuration.