什么是 AWS Lambda？

AWS Lambda is serverless computing that enables developers to execute code in response to occurrences without worrying about managing servers, thus making it an essential component of the current serverless architecture. It works by executing your code in a highly available computing environment that manages all the aspects of your computing resources, such as server management, operating system, computation capacity, scaling, and logging.

This platform adjusts its response based on the number of events, potentially impacting application deployment, resource utilization, and scaling. Lambda is great for short-lived and flexible work, but it is best suited for short interims or tasks with simple resource or runtime needs.

AWS Lambda possesses a range of benefits, but its characteristics may render it a better fit for specific applications. These advantages may concern developers’ code quality, scalability, and efficiency, which could influence developers’ productivity.

• 基础设施管理： 与传统解决方案相比，Lambda 的无服务器特性最大限度地减少了对直接服务器管理的需求，从而可能带来更简单的操作环境，并降低对专业基础设施专业知识的要求。
• Flexibility: Lambda 上多种语言和运行时的可用性可能会影响开发人员的选择和应用程序构建方法。
• 自适应基础设施： 使用无服务器计算环境，Lambda 架构集成了根据工作负载需求轮换其应用程序的扩展功能。
• Pay per request option: One is only billed based on the computation employed, whereby the user is charged depending on the amount of computation utilized.
• Operational simplicity: Lambda’s automated scaling and self-management capabilities help simplify operational tasks by eliminating manual server configuration and maintenance but require initial setup and configuration.
• Custom logic and backend services: Lambda enables the creation or modification of backend services using custom logic while drawing upon the infrastructure, security, and performance capabilities of AWS. 
• Similarity in tooling and processes: Adherence to established practices; Lambda integrates containers, images, and serverless artifacts known by developers.
• Limited execution time: Lambda functions provide a beneficial utility, but their execution time is limited to fifteen minutes, which can be a drawback if an operation takes too much time.

AWS Lambda 可应用于各种类型的无服务器计算流程。以下是一些最常见的用途：

• 基于事件的数据处理： Lambda 会在工作流程中发生事件时执行指定的操作。
• 实时文件处理： 当文件更新或上传时，Lambda 可以自动触发文件处理作业。
• Backend services for web and mobile applications: Create APIs that scale effectively without dealing with servers through Lambda.
• Task automation: Emailing, writing logs, and event scheduling, and finally discouraging, routinized functions as a way of avoiding repetitive functions.

Of course, like any service, AWS Lambda also has several constraints worth mentioning when choosing this service for applications. 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.

• Runtime Environment Resources: Lambda functions have inherent restrictions regarding resources available to the function runtime. These constraints include disk space (ephemeral) of 512 MB and a maximum memory allowance of 10240 MB. To ensure efficient operation, Lambda implements resource limitations, which affect the types of functions suitable for its environment.
• Execution Timeout: It is important to note that Lambda functions have an upper limit of 15 minutes of processing time. This constraint becomes more relevant when dealing with processes or tasks that require extended processing. If your application requires such operations, you might have to find other ways of accomplishing this or split the process into smaller, more manageable Lambda functions on a time-based model.
• Deployment Package Size: Lambda 函数默认支持的部署包大小为 50 MB。部署包的大小成为一个关键因素，特别是对于具有大量依赖项或复杂代码的应用程序。为了解决这个限制，您可能需要寻找创造性的方法来解决它；一种方法是使用容器镜像或将您的应用程序细分为更易于部署的功能大小。

AWS Lambda 的预期增长可能由客户需求和不断发展的技术的结合所驱动。

一个重要的关注点在于 Lambda Destinations，它支持非同步调用，以增强基于活动的程序并简化代码复杂性。 

这表明可以根据事件特征增加 AWS 服务和 SaaS 应用程序的额外集成，并提供更直观的无服务器环境。

AWS Lambda 的发展表明它有潜力在以下方面发挥重要作用 serverless architecture, although the exact nature of its future evolution is yet to be determined.