AWS Lambda とは？

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.

このプラットフォームは、イベントの数に基づいて応答を調整し、アプリケーションのデプロイ、リソースの利用、およびスケーリングに影響を与える可能性があります。Lambdaは短期間で柔軟な作業に適していますが、短期間またはリソースやランタイムのニーズが簡単なタスクに最適です。

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.

• インフラストラクチャ管理: 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.
• 柔軟性： Having a number languages and runtimes on Lambda appeals to developers and the way they build their applications.
• 適応型インフラストラクチャ: Because Lambda uses a server less environment, its functions scale automatically to match the current workload.
• リクエストごとの支払いオプション: Charges depend on two things: total requests and execution time, and are calculated down to the millisecond.
• 運用上のシンプルさ: 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.
• カスタムロジックとバックエンドサービス: Lambda lets you create or modify backend services using custom logic while still using the infrastructure, security, and performance capabilities of AWS.
• ツールとプロセスの類似性: 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:

• イベントベースのデータ処理： 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.
• リアルタイムファイル処理: Lambdaは、ファイルの更新またはアップロード時にファイル処理ジョブを自動的にトリガーできます。
• Webおよびモバイルアプリケーションのバックエンドサービス: Create APIs that scale effectively without dealing with servers through Lambda functions.
• タスクの自動化: 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.

• ランタイム環境リソース: 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.
• 実行タイムアウト: Lambda 関数には、処理時間の最大限度が 15 分であることに注意することが重要です。この制約は、拡張処理を必要とするプロセスやタスクを処理する場合に関連性が高くなります。アプリケーションでそのような操作が必要な場合は、これを実行する他の方法を見つけるか、プロセスを時間ベースのモデルでより小さく、より管理しやすい Lambda 関数に分割する必要があります。
• デプロイメントパッケージサイズ: 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 サーバーレスアーキテクチャ, although the exact outcome of its future evolution is not yet clear.