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Have you heard about AWS Lambda, the new computing system that offers you a variety of benefits like real-time data processing and custom back-end service? Wish you knew the ins-and-outs of this system so you could decide if it’s the right fit for you?
With so much information available about AWS Lambda, it can be hard to know what it is without an AWS Lambda FAQ.
Curious about what AWS Lambda is, what it can do for you, and how much it will cost you and your business? Well, we’re here to help! Here’s a breakdown of frequently asked questions about this system, so you can determine if it’s the right option for you.
AWS Lambda is an Amazon serverless computing system that runs code and automatically manages your underlying compute resources. It lets you 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 you to extend to other AWS services with custom logic, and even create your own back-end services.
The service works by running your code on a high-availability computer infrastructure. It then performs all the administrative duties of that compute resource, like providing maintenance on your server and operating system, automatically scaling and managing your capacity provisions, and handling security patch deployment and code monitoring and logging.
The only work required on your 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 4-step simple process.
Start off by uploading your code to AWS Lambda. From there, set up your code to trigger from other AWS services, HTTP endpoints, or mobile apps. AWS Lambda will only run your code when it’s triggered and will also only use the computing resources needed to run it.
What’s better? You only have to pay for the compute time you use!
AWS Lambda offers a variety of benefits to its users. Here are 3 of the biggest benefits you should know about when deciding if AWS Lambda is right for you:
Since AWS Lambda automatically runs your code there’s no need for you to manage the server. Simply write your code and upload it to Lambda and you’re good to go.
AWS Lambda runs code in response to each trigger, so your application is automatically scaled. Your code also runs in parallel and processes each trigger individually, so scaling is done precisely with the size of your workload.
With AWS Lambda, you don’t pay anything when your code isn’t running. You’ll only be charged for every 100ms your code executes and the number of times your code is actually triggered.
AWS Lambda can build a variety of things. Here’s a quick list of just a few use cases for it:
As you can see, AWS lambda can accomplish a variety of things. To learn more about AWS Lambda can do, visit this page.
As previously mentioned, with AWS Lambda you only pay for what you use, factoring in the number of requests and duration of your 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 your code begins executing until it returns or is terminated.
If you’re unsure about whether AWS Lambda is right for you, 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.
If you’d like to learn more about AWS Lambda, check out Amazon’s handy AWS Lambda FAQ.
If you’re looking to streamline processes and cut back on your coding efforts, you should absolutely invest in AWS Lambda. By reviewing the AWS Lambda FAQ, you can orient yourself on the ins-and-outs of this computing system and determine if it’s right for you.
Once you have finished going through the frequently asked questions you will probably start to wonder about the observability aspect of your serverless app or to better put it, the lack thereof. You wouldn’t be the first one to think like that, but luckily there are a number of services that can help you in that regard. Take Dashbird.io for example, they can help you monitor your serverless environment, set up alerts and keep track of costs without adding any strain to your application. Furthermore, they have a pretty decent free tier that is more than enough to get you started. You can sign up right now to start monitoring your serverless app for free!
In this article, we’re covering 4 tips for AWS Lambda optimization for production. Covering error handling, memory provisioning, monitoring, performance, and more.
In this article we’ll go through the ins and outs of AWS Lambda pricing model, how it works, what additional charges you might be looking at and what’s in the fine print.
Dashbird was born out of our own need for an enhanced serverless debugging and monitoring tool, and we take pride in being developers.
Dashbird gives us a simple and easy to use tool to have peace of mind and know that all of our Serverless functions are running correctly. We are instantly aware now if there’s a problem. We love the fact that we have enough information in the Slack notification itself to take appropriate action immediately and know exactly where the issue occurred.
Thanks to Dashbird the time to discover the occurrence of an issue reduced from 2-4 hours to a matter of seconds or minutes. It also means that hundreds of dollars are saved every month.
Great onboarding: it takes just a couple of minutes to connect an AWS account to an organization in Dashbird. The UI is clean and gives a good overview of what is happening with the Lambdas and API Gateways in the account.
I mean, it is just extremely time-saving. It’s so efficient! I don’t think it’s an exaggeration or dramatic to say that Dashbird has been a lifesaver for us.
Dashbird provides an easier interface to monitor and debug problems with our Lambdas. Relevant logs are simple to find and view. Dashbird’s support has been good, and they take product suggestions with grace.
Great UI. Easy to navigate through CloudWatch logs. Simple setup.
Dashbird helped us refine the size of our Lambdas, resulting in significantly reduced costs. We have Dashbird alert us in seconds via email when any of our functions behaves abnormally. Their app immediately makes the cause and severity of errors obvious.
End-to-end observability and real-time error tracking for AWS applications.