Why use Lambda?
AWS Lambda is a serverless computing service that allows you to run code in response to events and has the added benefit of automatically managing the underlying compute resources.In addition to a user adding an item to their shopping cart on an e-commerce website, these events include a change in status or an update. It’s possible to utilize AWS Lambda to develop your own back-end services that function at the same high levels of scalability as other AWS services, or to add custom logic to other AWS services, performance, and security as AWS. An Amazon API Gateway request, object adjustments in Amazon S3, table updates in Amazon DynamoDB, and AWS Step Functions state transitions all trigger AWS Lambda to automatically run code. A high-availability infrastructure is provided by Lambda to run your code, which manages your computing resources. Server and operating system maintenance, capacity provisioning, automatic scaling, security patch distribution, and code and log monitoring and archiving are just a few of the facets involved. Only the code must be supplied.
How it Works
AWS Lambda is an event-driven computing service that can run code for almost any application or backend service and have no need to provision and manage servers.More than 200 services and software-as-a-service (SaaS) applications can trigger AWS Lambda.
Using Amazon Simple Storage Service (Amazon S3) or an Amazon EFS file system, you can provide massively parallel shared access for large-scale file processing to AWS Lambda data processing in real time.
Real-time streaming analysis of application activity, transaction order processing, and clickstream analysis are all possible with the support of AWS Lambda and Amazon Kinesis.
Create powerful web applications that can automatically scale up and down by making use of the scalability and high availability that are given by AWS Lambda and other services supplied by AWS.
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A serverless backend can be constructed with AWS Lambda for web, mobile, Internet of Things, and API calls from third parties.
AWS Lambda and Amazon API Gateway backends can be used to authenticate and handle API requests. To swiftly connect your backend to your frontends on iOS, Android, Web and React Native, you can utilize AWS Amplify.
Augment other AWS services by utilising custom logic
By adding custom logic to Amazon S3 buckets and Amazon DynamoDB tables, AWS Lambda allows you to apply computation as data enters or moves through the cloud. Cloud computing can be applied to data as it enters or flows across the cloud.
AWS Lambda is an easy-to-understand service. First, you’ll need to choose the memory size, timeout period, and AWS Identity and Access Management (IAM) role that you want your function to have when you submit your code or generate it directly through the Lambda interface. AWS resource to be utilized for function activation is provided next. This can be an Amazon S3 bucket, a DynamoDB table, or an Amazon Kinesis stream, among other options. To keep up with the influx of new requests, Lambda will launch and manage computing resources as needed to carry out your function.
Create your own unique backend services
The Lambda application programming interface (API) or the Lambda application programming interface (API) can be used to construct new backend application services that can be activated on demand when utilising Amazon API Gateway (API). Instead of processing custom events on the client, use Lambda to process them, and you’ll avoid platform differences, conserve battery life, and simplify the implementation and maintenance of updates.
Bring your own code
Using AWS Lambda does not necessitate learning any new programming languages, tools, frameworks, or libraries. Third-party libraries can be used, even native ones, as long as they’re compatible with the framework. Frameworks, SDKs, libraries, and other types can all be packaged in a Lambda Layer for easy management and sharing across a large number of functions. With the Runtime API, you may write your functions in any other programming language that you can think of. Lambda is a cloud computing platform that runs on top of Amazon’s cloud infrastructure. In addition to English and Spanish, Lambda can be used.
Automation of administration
Using AWS Lambda, you can concentrate on creating highly available and fault-tolerant backend services. Because the underlying operating system (OS) is always updated while using Lambda, you never have to worry about scaling or adding more servers as your usage rises. Using Amazon CloudWatch, AWS Lambda provides built-in logging and monitoring for your applications. This service takes care of all the administration, maintenance, and security fixes.
Built-in tolerance for failures
Your code is protected against machine or data centre outages thanks to the multiple Availability Zones (AZs) in each AWS Region. Consistent, repeatable operational performance is delivered via Amazon Lambda. With Lambda, AWS is able to ensure the service and the functions it administers are always available. Unlike other services, there are no scheduled downtimes or maintenance windows.
Container images can be used to package and deliver applications
AWS Lambda allows functions to be packaged and deployed as container images, making it easier for clients to build Lambda-based applications using existing container image tools and workflows. A few of the benefits Lambda offers consumers include its ease of use, quick setup times, and high availability. With Lambda and containerized applications, enterprises can employ a standardized set of technologies, making central governance tasks like security scanning and image signing simpler.
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You don’t have to configure AWS Lambda because it automatically scales to meet the volume of incoming requests and runs your code only when needed. Your code can handle as many requests as you want. As soon as an event occurs, AWS Lambda starts running your code. There’s no need to worry about scalability issues because Lambda automatically scales to handle more events per second. Your code is stateless, so you don’t have to wait for long deployment and configuration delays to get started using Lambda.
Use a web browser to access relational databases
It is possible to employ fully controlled connection pools for relational databases, which are otherwise unavailable. Developing highly scalable, secure Lambda-based serverless applications that interface with relational databases is made easier when thousands of concurrent connections to relational databases are managed efficiently. MySQL and Aurora databases are presently supported by RDS Proxy. You can set up RDS Proxy for your serverless apps if you’re utilising the Amazon RDS or AWS Lambda consoles.
Relational databases should be connected
Relational databases can benefit from Amazon RDS Proxy’s fully managed connection pools. Scalability and security can be achieved with Lambda-based serverless applications that interface with relational databases even when thousands of connections to such databases are active. MySQL and Aurora databases are both supported by RDS Proxy at the time of this writing. For serverless apps, you can utilize RDS Proxy in conjunction with Amazon RDS or AWS Lambda.
Control over performance at the granular level
Provisioned Concurrency gives you more control over serverless application performance. In order to respond in less than ten milliseconds, the Provisioned Concurrency functionality must be enabled. For any AWS Lambda application that needs more control over the time it takes for functions to start, Provisioned Concurrency is a great option to explore. Your application’s concurrency needs can be readily set and changed. You can increase, decrease, or fully turn it off depending on how much demand there is. It is possible to achieve consistent performance for latency-sensitive applications without having to rewrite your code or manage computing resources by using Provisioned Concurrency.
Connect to networked file systems
With Amazon Elastic File System (EFS) for AWS Lambda, it is possible to read, write, and persist massive amounts of data in a safe manner at any scale, with very low latency. Processing the information does not need the creation of code or the downloading of it to any kind of temporary storage. This not only saves you time but also makes the code simpler, allowing you to focus more on the reasoning behind your business. EFS for Lambda is ideally suited for a wide range of use cases, such as processing or backing up vast volumes of data, as well as importing large reference files or models. Other use cases include: You can move files between serverless instances or container-based apps if you use EFS for AWS Lambda. Additionally, you can use AWS Lambda to carry out machine learning (ML) inference if you use this service.
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Respond to Amazon CloudFront requests by executing code.
Your code can be executed in various AWS locations around the world using Lambda@Edge in response to events generated by Amazon CloudFront, such as content requests from origin servers or viewers. Because of this, it becomes easier to give more personalized and customized content to your customers while reducing the amount of time it takes to do so.
Coordinate different functions
Amazon Web Services’ Step Functions can be used to orchestrate many AWS Lambda functions for long-running or complex processes. Using the Step Functions library’s sequential, parallel, branching, and error-handling steps, programmers can activate a collection of LambdA functions. Step Functions and Lambda can be used to construct long-running processes for apps and backends.
Security model that is integrated
AWS Lambda’s built-in SDK integrates with AWS Identity and Access Management (IAM) to ensure safe code access to other AWS services (IAM). An Amazon VPC (Virtual Private Cloud) is the default setting for Amazon Web Services Lambda (VPC). AWS Lambda resource access can be routed through your own VPC if you want to use custom security groups and network access control lists. This allows Lambda functions to safely and securely access your VPC resources. Compliance with SOC, HIPAA, PCI and ISO standards can be achieved with AWS Lambda.
Controls are based on trust and integrity.
Code signing for AWS Lambda allows you to ensure that only unaltered code published by authorized developers is deployed in your Lambda functions by using the Code Signing API. You only need to build digitally signed code artefacts and configure your Lambda functions to check the signatures when the code is being deployed. To maximize the speed and agility of your application development while simultaneously guaranteeing that strict security standards are adhered to while working in large groups.
Pay as you go
Rather than charging by the server unit, AWS Lambda charges execution time. There is no additional charge for using Lambda functions. It is possible to scale from a few transactions per day to thousands of transactions per second because billing is done in millisecond intervals. You only pay for the concurrency you utilize using Provisioned Concurrency. You pay for requests and execution time when Provisioned Concurrency is turned on.
Adaptable resource model
According to how much memory you specify, AWS Lambda distributes CPU, network, and disc I/O resources proportionally.
Synchronize Lambda with your favourite tools
Monitoring, security, and governance are simplified by AWS Lambda extensions. A secure and isolated execution environment is provided by Lambda when your function is invoked. Lambda extensions operate alongside your function code in the same environment as your function code. Your function logs, metrics, and traces can be sent anywhere using Lambda extensions. Security agents can be implemented with minimal operational overhead and no performance impact using the Lambda execution environment.
Pricing performance can be improved by up to 34% using Graviton2 functions.
Functions running on Graviton2, AWS’s Arm-based processing architecture, beat x86-based functions by as much as 34%. Serverless online and mobile backends, data, and media processing are all included here. In terms of performance, affordability, and power efficiency, Graviton2 functions are AWS’s finest today.
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