Overview
What is AWS Lambda?
AWS Lambda is a serverless computing platform that lets users run code without provisioning or managing servers. With Lambda, users can run code for virtually any type of app or backend service—all with zero administration. It takes of requirements to…
BEST SERVERLESS FUNCTION WITH HIGH COMPUTING SPEED
-AWS Lambda can be also be used as a serverless function with api gateway.
AWS Lambda: a perfectly reasonable serverless compute option
AWS Lambda: One of the best
Power of lambda
AWS Lambda is a flexible and useful product
AWS Lambda for developers
1. We mainly use AWS Lambda when we have very short time to productionise code and have …
AWS Lambda saves time and money for your project
AWS Lambda is the king of serverless compute services!
Lambda: An Efficient way for developers
AWS Lambda Provides Function-based Compute On Demand
AWS Lambda helps you automate and reduce your cloud costs
AWS Lambda rocks
Going Serverless Without Being Rudderless: AWS Lambda
AWS Lambda for Education
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Pricing
128 MB
$0.0000000021
1024 MB
$0.0000000167
10240 MB
$0.0000001667
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Demos
AWS Lambda | What is AWS Lambda | AWS Lambda Tutorial for Beginners | Intellipaat
Product Details
- About
- Tech Details
- FAQs
What is AWS Lambda?
AWS Lambda is a serverless computing platform that lets developers run code without provisioning or managing servers. With Lambda, users can run code for virtually any type of app or backend service—all with zero administration. It takes care of requirements to run and scale code with high availability. Users pay only for the compute time they consume—there is no charge when their code is not running.
Developers uploading to Lambda don’t have to deal with their code’s environment. It’s a “serverless” service which lets outside code or events invoke functions. Lambda doesn’t store data, but it allows access to other services which do. Users can set up their code to automatically trigger from other AWS services or call it directly from any web or mobile app.
AWS Lambda Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Frequently Asked Questions
Comparisons
Compare with
Reviews and Ratings
(354)Attribute Ratings
Reviews
(26-45 of 45)- Cross Language Support
- Fast and Scalable
- Always running
- Initial understanding takes time
AWS Lambda can be game changer
- No need to worry about the maintenance of your lambda.
- It is scalable and you can always change the memory allocation and timeout.
- Integration with other AWS Services is great!
- Pricing is reasonable.
- I think the cold start of AWS Lambda may be improved. The termination period of a lambda is 15 minutes. If the lambda service being called each time for less than 15 minutes there would be no cold start problem at all. The cold start problem could be solved like triggering a dummy request every 15 minutes, but that would cause some cost for the company.
Excellent Serverless provided by AWS
- Simple implementation and deployment.
- Quickly scale up and down on demand.
- High performance and high availability.
- Well integrated with other AWS services like S3, SQS, IAM, and SNS.
- Save costs as we only pay for our Lambda function when it is triggered.
- Have a limit on accessing underline VM.
- Lack of name and documentation for Lambda function.
- Not well integrated with VPC, which will face an issue when Lambda function needs to access the resource both inside and outside VPC.
Using AWS Lambda for Data ETL
- Easy to set up.
- Support different programming languages.
- Events-based trigger.
- Continuous deployment integration with GitHub.
- Would like to easily toggle between environments.
- An interface to map out/organize different functions.
- No need to maintain architecture.
- Easier operational management with AWS console.
- Scaling benefits of FaaS beyond costs. You pay only for what you used.
- Vendor lock-in, dependency on AWS ecosystem.
- It's a bit difficult to get started. AWS needs to provide more getting started examples.
- UI is a bit dull and messy. They should make it cleaner.
Something best for startup project
- No servers to manage.
- Pay per use.
- Do not need to be worried about scaling.
- Faster development cycles.
- Logs do not load fast.
- Max 3GB RAM.
Best Cloud Platform
- Scalability - No worries for load balancing.
- Flexibility- Easy to integrate with Python/ Java/ C#/ Node.js, etc
- API - APIs are easy to integrate.
- Microservices - Best option is to be able to use microservices with serverless architecture.
- UI - The UI part can be groomed for beginners to easily take on the tasks.
- Debugging - Again it becomes tougher for naive users to onboard and use the tool at its full capacity.
- Lag- The tool lags on slow networks which can be improved.
The Serverless Standard
- AWS Lambda is fully-managed. It is easy to build and manage functions and related resources with the Serverless framework.
- AWS Lambda integrates well with other AWS products. It is easy to use S3, SNS or DynamoDB events to invoke functions.
- For some use-cases, AWS Lambda is very inexpensive. Sub-second metering is great. Lambda is great for infrequently-used or bursty services.
- Managing development, staging, and production environments with Lambda is an open question. Some organizations use separate AWS accounts for different environments, but that is not feasible for teams that use ephemeral, per-feature or per-team development environments.
- AWS Lambda integrates well with other AWS products, and it is natural to build distributed systems from them. It can be difficult to test features that use Lambda functions end-to-end. LocalStack and moto can help.
- Lambda functions have very limited access to disk space.
- Container cold-starts can be problematic and difficult to foresee.
Very developed cost-saving product!
- Short computational code - For those that need scalability without maintaining servers, AWS lambda basically achieves all of this as one service.
- Scalability - For most lambda services, you are charged by run amount, as long as run-time remains low.
- Non-hosted websites/serverless code - Services like Netlify implement similar lambda functionality that is completely free. There may be services hosted on Amazon that achieve the same.
- UI could use some improvement - Like the rest of the Amazon Web Services UI, much of the interface is complex and hard to understand at the beginning.
- Hard to troubleshoot/debug - Lambda, in itself, is set up in an environment that makes it difficult to troubleshoot in the product. The use of staging production code is absolutely necessary.
- The pricing is a bit more expensive when compared to other services that provide lambda function execution services.
- It scales endlessly. We chose AWS's serverless architecture specifically for its ability to start small and scale as needed.
- Its always available. AWS's geographic redundancy and serverless architecture mean there's no server downtime. Ever.
- From a PM's perspective, there's a learning curve. We've had to either hire out experience engineers, or absorb the not-insignificant orientation of not-yet-initiated engineers. But I suppose the same is true of anything.
The future of Software is Serverless.
- Easy to deploy
- Easy to integrate with DynamoDB
- SQS Support makes it easier to monitor and integrate
- Easy to scale
- Pay for what you use, not idle time
- Focus on your business logic
- Some errors are hard to track
- Hard to plan for costs
- Maximum of 5 minutes of execution time per invoke
- AWS Lambda is great for inexpensive, sometimes free, short term processing.
- AWS Lambda integrates very well with AWS S3 Storage.
- Since it is possible to store log files on S3, it is possible to easily process AWS website log information.
- I think the biggest problem with AWS Lambda are the small number of languages that it currently supports. This number is, however, getting bigger.
- AWS Lambda would be a bit better if it were possible to have your function run a little longer, however, since it real purpose is to supply fast functions to all who need some short processing, this if too big of a con.
- It is possible to have the charging kick in on AWS Lambda just because your website or functions get popular or someone is trying to attack you. It would be good if a cap could easily be placed on the chargers so you couldn't go over a set limit.
Simple server-less services!
- Very reasonable prices with billing down to the 100ms
- Super easy to deploy functions and set up triggers from other AWS services
- Plenty of examples and code snippets (from Amazon and around the web)
- Vendor lock-in: While a basic function or microservice might be platform independent, when you start to use AWS APIs and interact with other AWS services, your microservice now relies on the AWS ecosystem
- A bit intimidating at first, however there are a lot of resources. Amazon could offer more templates and examples though
AWS Lambda is like no other!
- parsing data
- log processing and forwarding
- monitoring the contents of an S3 bucket and performing an action when the contents changes
- more languages supported
- cleaner interface
- better list of example code
Lambdas for the win
- Autoscaling
- High latency
- Pay only for execution time
- Increase the time they 'stay warm' - if they go through periods where the system isn't used, the lambda need a few seconds to start up again
- One of the best serverless cloud based functions out there
- Deep integration with Amazon Web Services
- Support for a variety of programming languages
- Deployment of Lambda functions could be a bit more intuitive
- Amazon could provide more examples of Lambda functions to help get started
- A Lambda based workflow can be more complex to debug because of all the different functions that may be called as a result of your workflow
Scalable, low cost computing
- Pay for only what you use. Because Lambda is billed by the 100ms of execution time, you can run low volume services extremely cheaply.
- Scalability. Lambda will spin up as many concurrent executions on demand as required to fulfil the triggers (up until a soft limit at least). This means for unpredictable workloads we get reliable execution with minimal costs.
- Ease of integration with other AWS services - Lambda can be plugged into just about everything and anything within the AWS ecosystem and also can be trigger via APIs from external systems making it very easy to integrate with.
- Language support is OK, but could be improved. In particular it would be nice to see native support for PHP, given its prevalence, and possibly Ruby.
- It would be great if there was a way of doing scheduling with a better granularity than 1 minute. For example, if you want to poll something every 15 seconds, it is not straight forward to do this using Lambda and the associated triggers as things stand.
AWS Lambda's On-Demand Scripts are Excellent and Easy!
- AWS Lambda is great at responding to triggers from events within the AWS ecosystem. This is important and useful if you use other AWS products.
- AWS Lambda uses the same policies/permissions system used for users, which makes it easy to limit the scope of the script.
- AWS Lambda allows you to create scripts in a variety of programming languages, often eliminating the need to learn a new programming language.
- The version of node.js available on AWS Lambda wasn't up to date, requiring our organization to research older language conventions. It was later updated.
- There were few official examples of how to interact with S3 from AWS Lambda. We resorted to examples/tutorials found elsewhere online.
AWS Lambda - immense power in a little box
- Documentation is plentiful
- Setup steps are very helpful
- Debugging process is great
- I’d like to see higher versions of Node.js supported natively.
Lambda info
- No need for specialist deployment engineer
- It do not require any additional cost for server to debugging a code
- Time-saving activity
- We are not fully aware of its use but if it has functionality likewise we have in Unix like operating system where we can schedule deployment then it will be very good.
- As of now, no one is trained in using any of AWS functionality fully in our team, it requires special skills to use LAMBDA.
- It also requires setting up of node.js environment, which most of us found difficult.