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AWS Lambda

AWS Lambda is a computing service offered by Amazon Web Services that allows you to run code without having to manage servers. It provides the ability to create applications or functions without worrying about the underlying infrastructure, which is ideal for microservices, data processing, and cloud automations.

More than one billion

of managed calls handled every day for certain companies.

  • Serverless

    No server to manage or set up manually.
    Serverless

  • Event-driven execution

    Reaction to events generated by other AWS services or external sources (modification of files in an S3 bucket, addition or deletion of data in a DynamoDB table).
    Event-driven execution

  • Short execution time

    Short-lived tasks, suitable for microservices, batch processing, and event management.

    Short execution time

  • Payment on usage basis

    Model based on actual usage, payment only for the time of executing functions and their memory quantity.

    Payment on usage basis

  • Deployment environment

    Several languages such as Python, Java, or Go.

    Deployment environment

  • Version and alias management

    Managing multiple versions of the same function, allowing for progressive deployment and testing.
    Version and alias management

  • Automatic scaling

    Running multiple instances of the function in parallel.

    Automatic scaling

TimActive expertise

  • Development of microservices that respond to events and run automatically

  • Creation of fully serverless workflows for modern applications

  • Automation of common tasks such as file management or database synchronization

  • Configuration of automatic triggers to execute code upon receiving AWS events

  • Integration with Amazon S3 to process files as soon as they are added to a bucket

  • Real-time data stream processing with Kinesis

  • Creation and management of RESTful APIs that do not require a dedicated server

  • Establishment of secure and scalable APIs

  • Optimization of Lambda function usage by adjusting configurations to improve performance

  • Analysis of data streams to perform actions based on events

  • Implementation of fine-grained IAM policies to control function access

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