AWS (Amazon Web Services) function is the new computing system that offers a variety of benefits like real-time data processing and custom back-end service. With so much information available about AWS Lambda, it can be hard to know what it is without an introduction.
What is
AWS (Amazon Web Services) Lambda Function?
AWS Lambda is an Amazon serverless computing system that runs code and automatically manages the underlying computing resources like EC2. It is an event-driven computing service. It lets a person automatically run code in response to many types of events, such as HTTP requests from the API gateway, table updates in Amazon DynamoDB, and state transitions. It also enables the person to extend to other AWS services with custom logic and even creates its own back-end services. For example, just write the code and then upload it as a .zip file or any container image. The service works by running code on high-availability computer infrastructure. It then performs all the administrative duties of that compute resource such as:
providing
maintenance on the server and operating system, auot-scaling and
managing the person’s capacity provisions, handling security patch deployment
lambda extensions code, monitoring, logging, and concurrency function
blueprints. AWS lambda is very helpful when you know how to write code but you
don’t know how to provision the underlying infrastructure in AWS. AWS lambda
will scale up the applications rapidly when there is sudden incoming traffic
and scale down to zero when the incoming traffic is reduced.
What Are
Lambdas Functions?
AWS lambda
are server-less compute functions are fully managed by the AWS where developers
can run there code without worrying about servers. AWS lambda functions will
allow you to run the code with out provisioning or managing servers.
Once you
upload the source code file into AWS lambda in the form of ZIP file then AWS
lambda will automatically run the code without you provision the servers and
also it will automatically scaling your functions up or down based on demand.
AWS lambda are mostly used for the event-driven application for the data
processing S3 Bucket or responding to HTTP requests.
Examples
of AWS Lambdas
The
following are the examples of AWS Lambda:
- Process data from Amazon S3
buckets.
- Respond to HTTP requests.
- Build serverless applications.
Use Cases
Of AWS (Amazon Web Services) Lambda Functions
You can
trigger the lambda in so many ways some of which are mentioned below.
- File Processing: AWS lambda can be triggered by
using simple S3. Whenever files are added to the S3 service Lambda
data processing will be triggered.
- Web Applications: You can combine both web
applications and AWS lambda which will scale up and down automatically
based on the incoming traffic.
- IoT (Internet of Things)
applications: You can trigger the AWS lambda based on certain conditions while
processing the data from the device which are connected to the IOT
applications. It will analyze the data which are received from the IOT
application.
- Stream Processing: Lambda functions can be
integrated with the Amazonn kinesis to process real-time streaming data
for application tracking, log filtering, and so on.
AWS lambda
will help you to focus more on your code than the underlying infrastructure.
The infrastructure maintenance in AWS was taken care of by AWS lambda.
Features
Of AWS (Amazon Web Services) Lambda Functions
The
following are the some features which are provided by the AWS (Amazon Web
Services):
- AutoScaling and High
Availability: AWS lambda will make sure that your application was highly available
to the end users when there is sudden incoming traffic. High availability
can be achieved by scaling the application.
- Serverless Execution: There is no need for
provisioning the servers manually in AWS. AWS lambda will provision the
underlying infrastructure based on the triggers you are mentioned whenever
a new file uploaded to a particular then AWS lambda will automatically
trigger and takes care of the infrastructure.
- Pay-per-use-pricing: AWS will charge you only for the
time that time compute engine was active. AWS bills you based on the time
taken to execute the code.
- Supports different programming
languages: AWS
lambda function will support different programming languages. You can
build the function with the language at your convenience. Following are
some languages supported by AWS lambda:
- Python
- Node.js
- Java
- C#
- PowerShell.
- Go.
- Integrates with other AWS
Services: AWS
lambda can be integrated with different AWS services like the following :
- API Gateway
- DynamoDB
- S3
- Step Functions
- SNS
- SQS.
- Versioning and Deployment: AWS lambda function will
maintain the different kinds of versions of the code by which you can
change between the versions without any disruptions y based on the
application performances.
- Security and Identity
Management: AWS lambda will leverage IAM to control the access to the
functions which are built by using lambda You can define fine-grained
permissions and policies to secure your functions and ensure that only
authorized entities can invoke them.
How Does
AWS (Amazon Web Services) Lambda Functions Work?
Start off by
uploading the code to AWS Lambda. From there, set up the code to trigger from
other AWS services, HTTP endpoints, or mobile apps. AWS Lambda will only run
the code when it’s triggered and will also only use the computing resources
needed to run it. The user has to pay only for the compute time used.
Pricing
of AWS (Amazon Web Services) Lambda Function
AWS lambda
pricing is based on the no. of requests made to your function and the time it
has taken to execute the function. The following are the pricing factors to be
considered for AWS Lambda. As previously mentioned, with AWS Lambda user only
pays for what he uses, factoring in the number of requests and duration of the
execution of the code. No charges are taken for creating lambda functions.
Lambda considers a request to be each time it starts executing in response to a
trigger such as an event notification or an invocation volume. The duration of
the code is calculated from the moment the code begins executing until it
returns or is terminated. If one is unsure about whether AWS Lambda is the
right choice or not, there is a free tier option available to try. This option
includes 1M free requests per month and 400,000 GB-seconds of compute time per
month.
- Requests: AWS lambda charges are made up
of the no. of requests made to your AWS lambda function. Each request will
be counted individually based on the time duration also aws lambda will
calculate all the requests made per month. The pricing will be varied from
the different regions and the total no. of requests made for your
function.
- Duration: AWS lambda will be charged
based on the duration of time your code started executing and till the
time it is terminated. And also while executing the AWS lambda you should
allocate some memory to your function this factor is also counted while
billing.
- Free requests: You have one million free requests per month which is free for all users and when coming to the duration you have 400,000 GB-seconds of compute time per month.
Pricing Factor | Details |
---|---|
Requests | It will charge per request.<br>- Each request is counted individually.<br>- Pricing varies by region. |
Duration | The charges are based on execution time from start to termination.<br>- Memory allocation affects cost. |
Free Tier | The 1 million free requests per month.<br>- 400,000 GB-seconds of compute time per month. |
Getting
Started With AWS (Amazon Web Services) Lambda Function
The following are the steps mentioned below to create your own customized AWS lambda functions by using the AWS console.
Steps for
Creating AWS (Amazon Web Services) Lambda Functions Using The AWS Console
Step 1: Log in to your AWS console and search for Lambda. As shown in the following image.
Step
2: Click on
Create function.
Step
3: Here we are
going to use a sample hello world program by using Author from scratch and
configure the details according to your requirement.
Step
4: Successfully
our function is created.
Advantages
of AWS (Amazon Web Services) Lambda Function
The
following are the advantages of AWS Lambda function
- Zero Server Management: Since
AWS Lambda automatically runs the user’s code, there’s no need for the
user to manage the server. Simply write the code and upload it to Lambda.
- Scalability: AWS Lambda
runs code in response to each trigger, so the user’s application is
automatically scaled. The code also runs in parallel processes, each
triggered individually, so scaling is done precisely with the size of the
workload.
- Event-Driven Architecture: AWS
Lambda function can be triggered based on the events happing in the AWS
other service like when the file or video is added to the S3 bucket you
can trigger the AWS Lambda function.
- Automatic High
Availability: When there is high demand or high incoming traffic aws
lambda function will automatically scale the servers.
- Affordable: With AWS
Lambda, one doesn’t pay anything when the code isn’t running. The user has
to only be charged for every 100ms of code execution and the number of
times his code is actually triggered.
Disadvantages
of AWS (Amazon Web Services) Lambda Function
The
following are the disadvantages of AWS Lambda function:
- Latency while starting: While
aws lambda is going to be activated after a long gap it will take some
time to initialize the service which is required to deploy the application
at that time end users will face latency issues.
- Limited control of
infrastructure: Behalf of your lambda function is going to take of
underlying infrastructure so you will have very limited control over
undelaying infrastructure.
- Time Limit: AWS Lambda
enforces a maximum execution time limit for functions, which is currently
set to 900 seconds (15 minutes). If your function exceeds this time limit,
it will be forcibly terminated.
- Vendor Lock-In: If you want
to execute the lambda function then you need the support of any cloud
provider as here we are using AWS because it is widely used in the market.
- Limited Computing and Memory
Options: Limited configuration is there on the memory and CPU configuration.
The predefined memory configuration was 120 MB to 120 GB and memory
configuration determines the corresponding CPU power.
Benefits
of AWS Lambda Functions
The
following are the benefits of AWS Lambda Functions:
- Cost Efficiency: It only charges
for the compute that is only for running known as pay-as-you-go model.
- Automatic Scaling: AWS Lambda
automatically helps in scaling your applications by running code in
response to each trigger.
- Reduced Operational Compliance:
It allows the developers to focus on building your logic, the aws itself
while take care of the infrastructure.
- Integration with AWS Services:
It provides a seamlessly integration with other AWS services enabling
strong and scalable applications.
Best
practices of using AWS Lambda Functions
The
following are the best practices of using AWS Lambda functions:
- Optimzing function performance: By
minimizing the cold starts by keeping the functions warm and reduce the
execution time by optimizing your code and dependencies.
- Efficient Resource Management: Through
allocating the appropriate amount of memory to your function based on
performance needs and cost considerations.
- Implement Error Handling and
Retries: By using try-catch blocks, AWS SDK retries and dead letter queues
(DLQs), we handle the errors gracefully.
- Secure Your Functions: By
applying the principles of least privilege for IAM roles, using
environment variables securely enhance the security.
AWS
Lambda Functions – FAQs
What Are The
Three Components of (Amazon Web Services) Lambda Function ?
The
following are the three major components of (Amazon Web Services) Lambda
Functions.
- Function.
- Configuration.
- Event Source.
Is AWS
Lambda a Programming Language?
No, AWS
Lambda is not a programming language. But AWS lambda supports multiple
lanuguages to perfom the tasks some of them are mentioned following.
- Java
- Python
- Node.js
- Go
Is AWS
(Amazon Web Services) Lambda Function is Serverless?
Yes, AWS
(Amazon Web Services) Lambda Function is Serverless. Which means you no need of
take care of provisioning of servers AWS will take care for it.
What is the
type of lambda expression?
The type
of a lambda expression is typically a functional interface.
What is
lambda in simple terms?
In simple
terms, a lambda is a small and anonymous function that can be passed around as
data.
Why use the
lambda function?
On using the lambda function for we can concise and make the code readable especially for short, simple operations.
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