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AWS Serverless Development
Modern application development without the burden of infrastructure management
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AWS Serverless Development
AWS Serverless Development is an approach to building and running applications using AWS services that manage the infrastructure automatically. Instead of provisioning and maintaining servers, developers write code that runs in response to events, such as API requests, file uploads, or database updates.
This approach is well suited to building microservices, APIs, event-driven workflows and real-time data processing solutions. By focusing on application logic rather than infrastructure, development teams can reduce time to market and deliver solutions that adapt to demand and scale with business needs.
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Businesses that have trusted us to implement AWS solutions successfully
Key features of AWS Serverless Development
No server management
Developers don’t need to provision, scale or maintain servers. AWS manages the infrastructure behind the scenes, allowing developers to focus solely on building applications.
Event-driven architecture
Serverless functions respond to events such as HTTP requests, database updates, file uploads or scheduled triggers, enabling responsive, loosely coupled systems.
Automatic scaling
Resources automatically scale up or down based on demand, scaling out during peak usage and down to zero when idle, maintaining performance without manual intervention.
Integrated security and monitoring
Security and observability are built-in through AWS Identity and Access Management (IAM), CloudWatch for logs and metrics and AWS X-Ray for request tracing and diagnostics.
Rapid deployment and development
Tools such as AWS SAM and the Serverless Framework enable faster iteration, testing and deployment, supporting modern CI/CD practices.
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Request a free consultationBenefits of AWS Serverless Development
Reduced operational overhead
There’s no need to manage infrastructure, apply patches or handle scaling manually. This allows development teams to focus on delivering functionality and maintaining quality.
High availability and resilience
Serverless services are designed to operate across multiple availability zones, providing fault tolerance and supporting business continuity.
Faster time to market
With prebuilt services and automation, teams can build and release applications more quickly, shortening development cycles and supporting rapid delivery.
Improved developer productivity
Developers can work directly with services such as AWS Lambda, API Gateway and DynamoDB without managing the underlying infrastructure, which helps reduce complexity during delivery.
Automatic scaling
Applications scale automatically based on demand, handling traffic spikes without manual intervention.
Support for iterative development
With minimal setup and no infrastructure to maintain, teams can test new ideas and update applications more frequently, reducing barriers to experimentation.
How we help with AWS Serverless Development
At Claria, we help organisations design, build and run serverless applications that are efficient, scalable and maintainable from day one. Using core AWS services such as Lambda, Step Functions and API Gateway, we bring structure and clarity to serverless projects, supporting teams in delivering solutions that adapt to change and perform under pressure.
Our services cover the full lifecycle of AWS Serverless Development:
Serverless architecture design
We translate your business processes into event-driven architectures using AWS Lambda, Step Functions, API Gateway and other core services. Every design is tailored to performance, cost control and operational clarity.
Custom implementation and integration
We build and deploy workflows that connect AWS services with your internal systems, APIs and data sources. This includes automation, asynchronous processing and real-time event handling—without adding unnecessary complexity.
Migration from traditional workloads
We support the transition from monolithic or legacy applications to modular, serverless services, reducing maintenance effort and improving scalability over time.
Workflow optimisation and review
Already using serverless? We assess existing workflows to improve execution time, reduce costs and streamline business logic. This includes reviewing retries, error handling and resource usage.
Security, observability and compliance
We implement security controls, fine-grained IAM roles and logging with CloudWatch and X-Ray to support governance, monitoring and regulatory needs from day one.
AWS Serverless Development Training
We deliver hands-on training to help your team design, build and manage serverless applications using AWS services like Lambda, API Gateway and Step Functions. Sessions are tailored to your context and focus on practical implementation, architecture and ongoing maintenance.
Team augmentation
Need more hands on deck? We provide experienced AWS professionals to support your project, fill skill gaps, or accelerate delivery on your terms.
AWS Serverless Development Pricing and Cost
AWS Serverless Development Pricing is based on actual usage, offering a flexible cost model for organisations building applications without managing infrastructure. Instead of paying for always-on servers, you are billed only for the resources your code consumes while it’s running.
This pricing model supports cost-effective scaling and is especially well suited to event-driven workloads, microservices and applications with unpredictable traffic.
How is AWS Serverless priced?
Serverless services such as AWS Lambda, API Gateway, DynamoDB and Step Functions follow a pay-as-you-go structure. You typically pay for:
Number of executions or requests
Duration of each function execution (measured in milliseconds)
Memory and compute resources allocated
State transitions (for Step Functions)
Outbound data transfer and API interactions
There are no charges when your code isn’t running and no need to reserve capacity in advance, making serverless ideal for agile, efficient development.
Standard vs Express Workflows in AWS Step Functions
Standard Workflows
Billed per state transition and ideal for long-running or auditable processes.
Express Workflows
Designed for short, high-volume executions and priced by execution time and request count.
Controlling AWS Serverless costs with Claria
At Claria, we help teams design serverless applications that are both technically robust and cost-aware. Our services include:
Cost estimation for serverless workloads based on real usage patterns
Workflow optimisation to reduce unnecessary executions or state transitions
Monitoring and alerting setup to track cost-related metrics
Ongoing reviews to adapt pricing models as your workloads evolve
When to use AWS Serverless Development
AWS Serverless Development is well suited to use cases where agility, automatic scaling and operational simplicity are priorities. It allows teams to focus on building features rather than managing infrastructure.
Organisations often choose serverless when:
You want to build and scale applications quickly
Serverless services reduce setup time and simplify deployment, helping teams accelerate delivery without long provisioning cycles.
You aim to reduce operational overhead
With no servers to manage, updates, scaling and fault tolerance are handled by AWS—freeing teams to concentrate on development and improvement.
Your workloads are event-driven or unpredictable
Applications that respond to triggers such as API calls, file uploads or database updates benefit from the flexibility and efficiency of on-demand execution.
You need to optimise for cost and resource efficiency
Serverless pricing is based on actual usage, making it a strong fit for workloads with fluctuating demand or low baseline activity.
You’re running short-lived or intermittent processes
For tasks like scheduled jobs, lightweight APIs or background processing, serverless eliminates the need for persistent infrastructure.
You’re building microservices or modular components
Serverless architectures support independently deployable functions and services, encouraging better separation of concerns and easier iteration.
AWS Serverless Development Considerations
Before adopting AWS Serverless Development, it’s important to evaluate how the model aligns with your technical landscape, delivery approach and operational priorities. Key areas to consider include:
Application structure and complexity
Serverless is best suited for modular, event-driven applications. If your workloads are tightly coupled or require persistent infrastructure, refactoring may be necessary to achieve the full benefits.
Development and operational readiness
Building serverless solutions requires familiarity with event-based thinking, distributed design and asynchronous workflows. Teams may need upskilling in tools such as AWS Lambda, Step Functions and the Serverless Application Model (SAM).
Integration requirements
Consider how your services interact with internal systems, third-party APIs and other AWS services. While serverless integrates well across AWS, hybrid or on-premises environments may require additional design considerations.
Observability and lifecycle management
Monitoring, debugging and versioning can differ from traditional applications. Implementing robust logging, tracing and deployment strategies is essential to maintain control and performance.
Cost and execution patterns
Costs are based on usage, which offers flexibility, but unpredictable traffic, long-running processes or inefficient design can introduce unnecessary expense. Understanding execution patterns helps manage budget expectations.
Security and governance
Although AWS provides built-in security controls, the responsibility for correct configuration, access management and policy enforcement still lies with your team. Aligning your serverless architecture with organisational governance frameworks is key.
Why choose Claria?
Your trusted AWS Serverless Development partner
At Claria, we approach AWS Serverless Development with one goal: to ensure that the architecture you adopt actually reflects how your organisation operates, scales and changes. We go beyond code and configuration, helping you build systems that solve real problems, not just tick boxes.
What we bring to the table:
Solutions that match how your business really works
We take the time to understand your processes, not just your backlog. This allows us to design workflows, event models and microservices that are practical, stable and cost-aware from the start.
An honest approach to architecture
We won’t recommend serverless where it doesn't fit. Our guidance is grounded in experience, not trend. Where serverless makes sense, we’ll help you do it properly. Where it doesn’t, we’ll tell you why.
Your team stays in control
We structure our delivery to ensure your team can understand, extend and manage what we build without relying on external developers every time something changes.
A partner for regulated and critical environments
Whether you're building systems for healthcare, finance, or the public sector, we’re equipped to support you. We’re a G-Cloud listed supplier and hold ISO 27001 and Cyber Essentials Plus certifications.
From first idea to full operation
We support your journey from early design choices to deployment, monitoring and cost control. You’ll have a single point of contact and a partner who stays the course.
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AWS Serverless Development FAQs
AWS Lambda supports a range of languages, including Node.js, Python, Java, Ruby, Go, C# and PowerShell. It also allows custom runtimes, meaning you can bring virtually any language you choose.
AWS provides several tools to monitor and gain visibility into serverless workloads:
Amazon CloudWatch Logs: Captures logs and metrics from Lambda functions and other AWS services.
AWS X-Ray: Enables end-to-end tracing of requests as they pass through your serverless architecture, helping you pinpoint latency and errors.
AWS CloudTrail: Records account activity and API calls, offering a security and compliance audit trail.
Together, these tools provide comprehensive monitoring, alerting and observability for serverless environments.
Absolutely. Serverless functions can easily integrate with traditional infrastructure components such as Amazon EC2, RDS, or even on-premises systems via APIs or messaging services like SNS and SQS. This makes serverless a great fit for hybrid architectures, allowing you to modernise parts of your application incrementally.
A serverless-first strategy means designing applications with serverless services as the default choice and only using server-based solutions where serverless is unsuitable. This approach prioritises managed services like AWS Lambda, API Gateway, DynamoDB and Step Functions, reducing infrastructure complexity and enabling faster, more agile development.
Traditional server-based models often lead to underutilised resources, many servers run at just 10–20% capacity, yet incur full costs. Serverless computing, such as AWS Lambda, charges only for actual compute time used, down to the millisecond. This eliminates the cost of idle capacity and enables you to scale efficiently while paying only for what you use.
AWS Lambda charges are based on the number of requests and the duration your code runs, measured in GB-seconds. You only pay for what you use, there are no charges when your code isn’t running.
The AWS Serverless Application Model (SAM) is an open-source framework that simplifies the creation, testing and deployment of serverless applications. It offers a simplified syntax for defining functions, APIs, databases and event source mappings and supports local testing before deployment.
AWS Serverless Development works by allowing developers to build applications using managed services that automatically handle infrastructure tasks like provisioning, scaling and maintenance. At the core is AWS Lambda, which lets you run code in response to events (such as HTTP requests via API Gateway, file uploads to S3 or data changes in DynamoDB) without managing servers.
Each component of the application is loosely coupled and event-driven, enabling flexibility and scalability. Developers write small, focused functions that respond to these events and AWS takes care of executing them, allocating resources and scaling based on demand, all with built-in monitoring, security and high availability.
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