Here’s a breakdown of introduction in the form of frequently asked questions about this system, to help a person to determine if it’s the right option or not.
AWS Lambda is an Amazon serverless computing system that runs code and automatically manages the underlying computing resources. It lets a person automatically run code in response to many types of events, such as HTTP requests from Amazon 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 create its own back-end services.
The service works by running code on a high-availability computer infrastructure. It then performs all the administrative duties of that compute resource, like:
providing maintenance on server and operating system,automatically scaling and managing the person’s capacity provisions,handling security patch deploymentcode monitoringlogging
The only work required on the user’s end is supplying code for it to run.
While AWS Lambda may seem confusing at first, it really isn’t. In fact, it’s actually just a simple process:
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 have to pay only for the compute time used.## 3 - What are the Advantages of AWS Lambda?
AWS Lambda offers a variety of benefits to its users. Here are 3 of the biggest benefits one should know about when deciding if AWS Lambda is right choice:
It doesn’t require the user to manage any servers. Since AWS Lambda automatically runs user’s code, there’s no need for the user to manage the server. Simply write the code and upload it to Lambda.It empowers the user to easily scale. AWS Lambda runs code in response to each trigger, so 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.It’s affordable. With AWS Lambda, one doesn’t pay anything when 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.## 4 - What Can You Build with AWS Lambda?
AWS Lambda can build a variety of things. Here’s a quick list of just a few use cases for it:
Data processingReal-time file processingData validationFilteringSortingReal-time stream processing3rd-party API requests## 5 - How Much Does AWS Lambda Cost?
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. 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 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.
To learn more about AWS Lambda, check out Amazon’s handy AWS Lambda FAQ
#aws #web-service #serverless
If you are here, you may have a pretty good knowledge of how to use AWS CDK for defining cloud infrastructure in code and provisioning it through AWS. So let’s get started on how to grant permission to your lambda function to access the resources in another AWS account.
Let’s say you have two accounts called Account A and Account B, and you need to give permission to lambda function in Account A (ex: 11111111)to access the resources in Account B(22222222). You can easily do this by assuming an IAM Role in Account B and then uses the returned credentials to invoke AWS resources in Account B.
#acces #account #aws #lambda #aws lambda #aws cdk
A month back AWS announced a preview of Lambda Extensions, a new way to easily integrate Lambda with your favorite monitoring, observability, security, and governance tools. Extensions can be published as Lambda layers, there are two types are extension:
#aws #aws-secrets-manager #lambda #aws lambda
The topic of the scheduled launch of lambda functions is quite relevant for AWS serverless solutions. Nowadays, almost all projects use the same approach, and even though it works it is far from the optimal approach. In this article, we will consider alternatives and define which option will work best in practice.
For the purposes of illustration, let’s take a look at architectures of the following type:
There is a mobile application designed to book rooms in hotels. Also, the application functionality allows for keyless access to the room.
A back-end developer is expected to prepare the following:
The serverless solution means that the system has no initiator, and we need to somehow run the function to activate the key or cancel the reservation. Most often, CloudWatch rules are used for such tasks.
#aws #aws-lambda #amazon-web-services #lambda #cloudwatch
2020 was a difficult year for all of us, and it was no different for engineering teams. Many software releases were postponed, and the industry slowed its development speed quite a bit.
But at least at AWS, some teams released updates out of the door at the end of the year. AWS Lambda received two significant improvements:
With these two new features and Lambda Layers, we now have three ways to add code to Lambda that isn’t directly part of our Lambda function.
The question is now: when should we use what?
In this article, I try to shine some light on the Lambda Layers, Lambda Extensions, and Docker image for Lambda.
First things first. All these Lambda features can be used together. So if you think about where to put your code, at least your decisions aren’t mutually exclusive. You can upload a Docker image and attach a regular Lambda Layer and a Lambda Extension. The same is possible if your Lambda function is based on a ZIP archive.
What does this all mean? Keep reading and find out.
#aws #aws-lambda #serverless #devops #docker #lambda
Bob had just arrived in the office for his first day of work as the newly hired chief technical officer when he was called into a conference room by the president, Martha, who immediately introduced him to the head of accounting, Amanda. They exchanged pleasantries, and then Martha got right down to business:
“Bob, we have several teams here developing software applications on Amazon and our bill is very high. We think it’s unnecessarily high, and we’d like you to look into it and bring it under control.”
Martha placed a screenshot of the Amazon Web Services (AWS) billing report on the table and pointed to it.
“This is a problem for us: We don’t know what we’re spending this money on, and we need to see more detail.”
Amanda chimed in, “Bob, look, we have financial dimensions that we use for reporting purposes, and I can provide you with some guidance regarding some information we’d really like to see such that the reports that are ultimately produced mirror these dimensions — if you can do this, it would really help us internally.”
“Bob, we can’t stress how important this is right now. These projects are becoming very expensive for our business,” Martha reiterated.
“How many projects do we have?” Bob inquired.
“We have four projects in total: two in the aviation division and two in the energy division. If it matters, the aviation division has 75 developers and the energy division has 25 developers,” the CEO responded.
Bob understood the problem and responded, “I’ll see what I can do and have some ideas. I might not be able to give you retrospective insight, but going forward, we should be able to get a better idea of what’s going on and start to bring the cost down.”
The meeting ended with Bob heading to find his desk. Cost allocation tags should help us, he thought to himself as he looked for someone who might know where his office is.
#aws #aws cloud #node js #cost optimization #aws cli #well architected framework #aws cost report #cost control #aws cost #aws tags