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AWS Lambda

AWS Lambda - is a serverless, event-driven compute service. Service runs the client code for almost any type of application or backend service without need of management of resources for that code. Lambda has tight integration with AWS infrastructure and can be triggered from over 200 AWS services and software as a service (SaaS) applications.

Key definitions for AWS Lambda:

  • Simplified Architecture

    Serverless solutions which remove management of underlying resources from the client and help focus on application development.

  • Integration

    Extends other AWS services with custom logic.

  • Quotas applies

    • for executions and storage per AWS Region
    • Elastic network interface (ENI) per virtual private cloud (VPC)

Service integrates with:

Usage use cases

  • Data processing at scale.

    Code execution at the needed capacity and when it is needed. Scale to match appeared data volume automatically and enable custom event triggers.

  • Run interactive web and mobile backends.

    Combining AWS Lambda with other AWS services opens possibilities to create secure, stable, and scalable backends for web and mobile.

  • Enable powerful ML insights.

    AWS Lambda enables data preprocessing before feeding data to the machine learning (ML) model. With AWS EFS access, AWS Lambda helps with infrastructure provisioning and management for easy scaling.

  • Creation of event-driven applications.

    Building the event-driven functions for easy communication between decoupled services became simple. Reduce costs by paying for running applications during peak demand without over-provisioning or crashing servers.

FAQ for AWS Lambda

  • What is the default quota for lambda concurrent executions?

    By default lambda support 1000 concurrent executions.

  • How many layers support lambda?

    Lambda consist of maximum 5 layers.

  • What is the core feature of lambda?

    No need to manage servers. Lambda is serverless, event-driven computer service. Code executes as a function removing the need of server management.