O que é AWS Lambda?

AWS Lambda is serverless computing which allows developers to execute code due to occurrences- all without the worry of managing servers, making it an important part of the current serverless architecture. AWS has 220+ native integrations in addition to its other services. Lambda works by executing your code in the computing environment and manages all aspects of your computing resources, such as server management, operating system, computation capacity, scaling, and logging.

Esta plataforma ajusta sua resposta com base no número de eventos, impactando potencialmente a implantação do aplicativo, a utilização de recursos e o dimensionamento. O Lambda é ótimo para trabalhos de curta duração e flexíveis, mas é mais adequado para interinos curtos ou tarefas com necessidades simples de recursos ou tempo de execução.

AWS Lambda offers a variety of benefits, but it may be a better fit for some particular applications. The advantages can affect developers’ code quality, scalability, and efficiency, which could also play a part in developers’ productivity.

• Gerenciamento de infraestrutura: Lambda cuts down on the need for direct server management, which means it makes the operational environment less complicated and doesn’t require specialized infrastructure expertise.
• Flexibilidade: Having a number languages and runtimes on Lambda appeals to developers and the way they build their applications.
• Infraestrutura adaptável: Because Lambda uses a server less environment, its functions scale automatically to match the current workload.
• Opção de pagamento por solicitação: Charges depend on two things: total requests and execution time, and are calculated down to the millisecond.
• Simplicidade operacional: Lambda’s automated scaling and self-management functionality help make operational tasks easier by removing manual server configuration and maintenance. They do, however, need initial setup and configuration.
• Serviços de backend e lógica personalizada: Lambda lets you create or modify backend services using custom logic while still using the infrastructure, security, and performance capabilities of AWS.
• Similaridade em ferramentas e processos: Lambda integrates containers, images, and serverless artifacts used by developers.

The main use cases of AWS Lambda are event-based data processing, file processing, web and mobile back ends and task automation:

• Processamento de dados baseado em eventos: Lambda is connected to more than 220 AWS services so code can be run when certain events occur. Think of it as processing incoming records on the fly for ETL pipelines.
• Processamento de arquivos em tempo real: O Lambda pode acionar automaticamente trabalhos de processamento de arquivos quando os arquivos são atualizados ou carregados.
• Serviços de back-end para aplicativos da Web e móveis: Create APIs that scale effectively without dealing with servers through Lambda functions.
• Automação de tarefas: Emailing, writing logs, and event scheduling can all be automated to cut repetitive work.

When working with AWS Lambda, the main things to keep in mind are runtime resources, execution timeout, and your deployment package size. These limitations can influence what kind of applications are suitable for Lambda and may require other approaches for such workloads. You must mind these limitations so your Lambda functions run optimally in the AWS environment.

• Recursos do ambiente de tempo de execução: Lambda functions have inherent restrictions regarding resources available to the function runtime. Customizable ephemeral /tmp storage is available, with settings ranging from 512 MB to 10,240 MB(AWS), and a maximum memory allowance of 10,240 MB (AWS). To ensure efficient operation, Lambda implements resource limitations, which affect the types of functions suitable for its environment.
• Tempo limite de execução: É importante observar que as funções Lambda têm um limite superior de 15 minutos de tempo de processamento. Essa restrição se torna mais relevante ao lidar com processos ou tarefas que requerem processamento estendido. Se seu aplicativo requer tais operações, talvez você precise encontrar outras maneiras de realizar isso ou dividir o processo em funções Lambda menores e mais gerenciáveis em um modelo baseado em tempo.
• Tamanho do pacote de implantação: Right out of the box, direct uploads for a zipped Lambda function deployment package top out at 50 MB by default. The size of deployment packages becomes a big deal, especially for applications with numerous dependencies or complex code. To address this constraint, you might have to look for creative ways to work around it; one such way is to use container images or subdivide your application into functional sizes that are more easily deployable.

Here is that information organized into a clean, easy-to-read table:

The growth of AWS Lambda may be driven by a combination of customer needs and evolving technologies.

Today, Lambda Destinations handle the routing for asynchronous invocation records. (Lambda Developer Guide). A newer trend worth keeping on your radar, is durable functions, designed to support complex multi-step apps and AI workflows running for up to a year.  (durable functions guide).

AWS Lambda’s development seems to point to playing a prominent role in arquitetura sem servidor, although the exact outcome of its future evolution is not yet clear.