Lambda function architecture, runtime and deployment configuration
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
Build event-driven applications with AWS Lambda, API Gateway, Step Functions, EventBridge, SQS/SNS, AppSync and Cognito. Datanet Hosting helps design serverless functions, integrations, security, failure handling and monitoring.
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AWS Lambda runs code in response to events without requiring you to provision or manage servers. Combined with API Gateway, Step Functions, EventBridge, SQS/SNS, AppSync and Cognito, it supports event-driven APIs, integrations and application workflows.
Design and deliver event-driven applications using Lambda functions, APIs, messaging, workflow orchestration and managed integrations.
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
Lambda can be triggered by API Gateway requests, S3 events, DynamoDB Streams, EventBridge rules and SQS messages. API Gateway supports REST, HTTP and WebSocket APIs; Step Functions orchestrates workflows; EventBridge routes events; and SQS/SNS decouple services. Serverless design must account for concurrency, retries, idempotency, execution limits and observability.
Design and deliver event-driven applications using Lambda functions, APIs, messaging, workflow orchestration and managed integrations.
Design and deliver event-driven applications using Lambda functions, APIs, messaging, workflow orchestration and managed integrations.
Design and deliver event-driven applications using Lambda functions, APIs, messaging, workflow orchestration and managed integrations.
Design and deliver event-driven applications using Lambda functions, APIs, messaging, workflow orchestration and managed integrations.
Design and deliver event-driven applications using Lambda functions, APIs, messaging, workflow orchestration and managed integrations.
Identify triggers, API contracts, execution patterns, dependencies, event volume and response-time requirements.
Select runtimes, configure IAM, connect APIs and event sources, and define orchestration, retries and failure handling.
Validate function behaviour, concurrency, logging, alarms, error paths, performance and cost characteristics.
Serverless architecture shifts infrastructure provisioning and scaling for supported services to AWS, while application teams remain responsible for function code, permissions, event handling, retries, concurrency, observability and downstream dependencies.
Lambda can be triggered by API Gateway requests, S3 events, DynamoDB Streams, EventBridge rules and SQS messages. API Gateway supports REST, HTTP and WebSocket APIs; Step Functions orchestrates workflows; EventBridge routes events; and SQS/SNS decouple services. Serverless design must account for concurrency, retries, idempotency, execution limits and observability.
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
Design and deliver event-driven applications using Lambda functions, APIs, messaging, workflow orchestration and managed integrations.
Serverless scope depends on invocation volume, execution duration, memory, concurrency, event sources, workflow complexity and integration requirements. Lambda and connected AWS service consumption charges are separate.
Discuss your APIs, event sources and application workflows to plan a secure and scalable AWS Lambda solution.
Design and deliver event-driven applications using Lambda functions, APIs, messaging, workflow orchestration and managed integrations.
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
Configure functions and event flows around invocation patterns, execution limits, security, failure handling and downstream capacity.
| Service feature | Starter | Business | Managed |
|---|---|---|---|
| Event-driven workload and architecture assessment | ✓ | ✓ | ✓ |
| Lambda runtime and function configuration | ✓ | ✓ | ✓ |
| API Gateway and event-source integrations | — | ✓ | ✓ |
| Step Functions, messaging and failure handling | — | ✓ | ✓ |
| Ongoing concurrency, reliability and cost reviews | — | — | ✓ |
Serverless scope depends on invocation volume, execution duration, memory, concurrency, event sources, workflow complexity and integration requirements. Lambda and connected AWS service consumption charges are separate.
Validate Lambda runtime, API Gateway, event-source and downstream service availability in the target Region. Consider event delivery, data residency and cross-Region dependencies.
Lambda is suited to API backends, scheduled automation, file processing, event-driven integrations and workflow components.
Lambda is suited to API backends, scheduled automation, file processing, event-driven integrations and workflow components.
Lambda is suited to API backends, scheduled automation, file processing, event-driven integrations and workflow components.
Lambda is suited to API backends, scheduled automation, file processing, event-driven integrations and workflow components.
| Project area | Datanet Hosting | Self-managed |
|---|---|---|
| Event-source and function assessment | ✓ | Customer-led |
| Lambda, API and messaging integration | ✓ | Customer-led |
| IAM, retries and failure-handling setup | ✓ | Self-configured |
| Execution, concurrency and cost reviews | ✓ | Customer-managed |
Lambda runs code in response to supported events and is commonly used for APIs, scheduled tasks, file processing, automation and service integrations.
AWS manages the underlying compute infrastructure for Lambda. You remain responsible for function code, configuration, permissions, event behaviour and application reliability.
Yes. API Gateway can expose REST, HTTP and WebSocket APIs and invoke Lambda integrations, with authentication, throttling and monitoring configured as required.
Failure handling depends on invocation type and event source. Designs may include retry policies, dead-letter queues, destinations, idempotent processing and alarms.
Lambda can be triggered by API Gateway requests, S3 events, DynamoDB Streams, EventBridge rules and SQS messages. API Gateway supports REST, HTTP and WebSocket APIs; Step Functions orchestrates workflows; EventBridge routes events; and SQS/SNS decouple services. Serverless design must account for concurrency, retries, idempotency, execution limits and observability.
Choose synchronous or asynchronous invocation and define event contracts and delivery expectations.
Connect API Gateway, EventBridge, Step Functions, queues and storage according to application flow.
Set concurrency controls and account for throttling, retries, idempotency and downstream capacity.
Monitor duration, errors, concurrency and logs, then tune memory, execution time and invocation patterns.
Design and deliver event-driven applications using Lambda functions, APIs, messaging, workflow orchestration and managed integrations.
