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…
AWS Lambda Review
When to use AWS Lambda
Tranforming cloud from server to serverless
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
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Reviewer Pros & Cons
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
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Reviews and Ratings
(354)Attribute Ratings
Reviews
(1-25 of 48)- No need to manage infrastructure
- Billed purely based on actual usage
- Reduced security risks due to architecture
- Creating test events can be clumbersome
- Failures can be hard to diagnose
- Requires monitoring for failures
AWS Lambda Review
- low cost
- no dedicated server
- no provisioning
- lightweight
- highly integrated
- not ideal for non-cloud native services
- no direct local development
- limited code editing in browser
It is not suited for very complex and/or very long running jobs that need to be ready and active at all times.
When to use AWS Lambda
- No provisioning required - we don't have to pay anything upfront
- Serverless deployment - it gets executed only when request comes and we pay only for the time the request is getting executed
- Integrates well with AWS CloudWatch triggers so it is easy to setup scheduled tasks like cron jobs
- As of now AWS Lambda just works as a function and all other deployment configurations are obscured. This doesn't let us integrate it with other debugging and monitoring tools like Sentry. If AWS Lambda can add support for some external integrations, that would be helpful.
- Also, the lambda_handler function is passed with event and context arguments which can't be constructed locally so local development and testing of AWS Lambda code is difficult as of now. If AWS Lambda adds some support for local development, that would be great.
Tranforming cloud from server to serverless
- Image compression on the go
- Supports multiple programming language which can trigger lambda using API
- Event driven
- Platform as service, don't need to configure underlying hardware or operating system
- Can handle higher number of events triggering, easily scalable.
- Cost efficient
- Environment is something which we can't control. It can be disadvantage at some point of time.
- Time limit for function to execute, 3 sec as default upto 15 minutes maximum. Need to a lot of time to making function more efficient to execute in given time frame.
- If function code file is above 5mb, lambda's ide doesn't support editing on go. You need to upload another zip file with newly updated code. It's quite frustrating.
BEST SERVERLESS FUNCTION WITH HIGH COMPUTING SPEED
-AWS Lambda can be also be used as a serverless function with api gateway.
- Speed processing
- Computing concurrency
- service to service communication
- In Lambda if a version of the language is deprecated then it should have provide an upload or modified function.
- It has a limit of 262 mb folder can be uploaded in AWS Lambda.
-When we use AWS Lambda use with API Gateway to only transport data to another service without any business logic.
AWS Lambda: a perfectly reasonable serverless compute option
- Broad support for different language runtimes: Python, Node.js, C#, Java, Golang, Powershell, Ruby
- Save money on compute resources by paying by request volume and memory used/time
- Integrates terrifically with a number of other AWS resources
- Cold start--you have to account for the runtime environment being spun up every time; for a heavy operation, that can increase runtime duration and, in turn, cost
- You have to consider networking, which is also true of other compute resources, technically
I would not recommend using AWS Lambda when your Lambda function has potentially long-running, asynchronous calls involved (e.g., calling out to a service hosted in another cloud platform). This can drive up execution time and, in turn, cost. While Lambda layers allow you to share code between Lambda functions, I would not recommend AWS Lambda for cases where there are high degrees of interdependence between the Lambdas. I think that Lambdas work better when considered isolated.
AWS Lambda: One of the best
- This can be incredibly cheap as you use it whenever you want.
- This is heavily scalable
- You can Swiftly deploy and execute the code
- The documentation is not very clear and could be made more informative
- Plugins are very limited
- Logs are very hard to debug
Power of lambda
- Execute small tasks quickly.
- Monitoring can be easy.
- Integration with s3 and SNS is a boon.
- Trigger quickly and easily based on events.
- Deployment via cloud formation.
- Importing libraries.
- Execution time could be longer.
AWS Lambda is a flexible and useful product
- Triggers from state changes on other AWS technologies.
- Automate process when someone interacts with AWS S3.
- Create functions to keep compliance aspects.
- AWS needs to increase timeout limits for Lambda functions.
- More templates would be welcome.
- A better and cheaper charge policy.
AWS Lambda for developers
1. We mainly use AWS Lambda when we have very short time to productionise code and have little time to worry about infrastructure.
2. AWS Lambda takes care of scaling and dynamic increase in inflow of traffic.
- Scalable
- Less Infra headaches
- Just write code and don’t worry about devops
- Less plugins
- No integration with springboot
- Need to provide all library and no management
1. when we need to worry about time to market and we don’t have infra defined.
Not suited:
1. Not suited for Business Client transactions as its server are located out of Switzerland and hence country laws are different
AWS Lambda saves time and money for your project
- Serverless compute lets you run code without provisioning and managing
- It is helpful to reduce costs and administrative loads for web development or mobile apps
- Easy to manage the compute resources on AWS
- Better integration with containers
- API Runtime should be improved with support and integration for other program languages
- Improves documentation in part of security and network port usage
- Limits programmers to 1,000 concurrent executions
A sess appropriate scenario would be when CIO push to implement new technology and services without clear understanding of the results and project needs.
AWS Lambda is the king of serverless compute services!
- Easy to use
- Performant and reliable
- Can be incredibly cheap
- A bit of a learning curve when first starting out
- A refreshed UI to manage AWS Lambda
Lambda: An Efficient way for developers
- Serverless Framework. Easy to develop and test in local environment
- Easy to detect issues. As it does not interlink to any other lambda.
- There are shared layers in Lambda that can provide common code to be shared between Lambda. Helps in Avoiding the same code to be written multiple times.
- Difficult to identify all permission issues at once. It would be easier if we can get a list of all permissions which are required to further proceed.
- Lambda output to trigger more Services. Currently, it supports only 2-3 Services.
- It would be great if AWS can handle the Lambda cold starts internally.
Lambda provides an interface to managed compute resources without the overhead of the team having to mange servers or other resources.
- Lambda provides multiple methods for triggering functions, this includes AWS resources and services and external triggers like APIs and CLI calls.
- The compute provided my Lambda is largely hands off for operations teams. Once the function is deployed, the management overhead is minimal since there are no servers to maintain.
- Lambda's pricing can be very cost effective given that users are only charged for the time the function runs and associated costs like network or storage if those are used. A function that executes quickly and is not called often can cost next to nothing.
- Developing test cases for Lambda functions can be difficult. For functions that require some sort of input it can be tough to develop the proper payload and event for a test.
- For the uninitiated, deploying functions with Infrastructure as Code tools can be a challenging undertaking.
- Logging the output of a function feels disjointed from running the function in the console. A tighter integration with operational logging would be appreciated, perhaps being able to view function logs from the Lambda console instead of having to navigate over to CloudWatch.
- Sometimes its difficult to determine the correct permissions needed for Lambda execution from other AWS services.
I would not recommend using Lambda for anything that needs to run longer than a few seconds. Long running processes like ETL jobs or intensive computations may be better suited for step functions, batch jobs, or even a server based approach.
- Flexible. You can use it with many programming languages.
- Easy. It's all configurable and as soon as you understand how it works it becomes very easy to maintain.
- The integration with other AWS tools helps a lot the automation of tasks.
- In the beginning, I think the documentation is not very informative so you have to look at user examples online.
AWS Lambda rocks
- Simplicity
- Security
- Scalability
- API calls
Going Serverless Without Being Rudderless: AWS Lambda
- AWS Lambda is a welcoming platform, supporting several languages, including Java, Go, PowerShell, Node.js, C#, Python, and Ruby. And if you need to deploy a Lambda function in another language, AWS offers a Runtime API for integration.
- We really appreciate how AWS Lambda is always-on for our functions, with only a brief "cold-start" waiting period the first time a function is called after being dormant.
- In addition to only generating costs when it's actually being used, AWS Lambda really puts the "serverless" in serverless architecture, offering turnkey scaleability and high availability for our code with zero effort on our part.
- Putting a significant portion of your codebase into AWS Lambda and taking advantage of the high level of integration with other AWS services comes with the risk of vendor lock-in.
- While the AWS Lambda environment is "not your problem," it's also not at your disposal to extend or modify, nor does it preserve state between function executions.
- AWS Lambda functions are subject to strict time limitations, and will be aborted if they exceed five minutes of execution time. This can be a problem for some longer-running tasks that are otherwise well-suited to serverless delivery.
If you have complicated workflows that run a long time, or require state to be saved between function calls, AWS Lambda is probably not the right choice for a serverless solution.
AWS Lambda for Education
- Rapid deployment of code.
- Rapid execution of code.
- Cost-effective use of the cloud.
- The setup pages for AWS Lambda could be more intuitive.
- AWS Lambda could have better Java integration.
AWS Lambda Review
In the organization, we have got a need to increase the monitoring and availability of the systems, because of which we have created several scripts that run on a server for every 15 mins to extract data from one system and store it in a database. It was working fine when we have a few scripts and less number of CRON jobs. We have a complex environment, we interact with multiple systems most of the time and there are several logs that are captured in different systems, so our number of scripts increased, eventually jobs increased to run. We started to see a bottleneck on the server, so we started to think Cloud alternative and analyzed about the usage of AWS Lambda functions.
- Lambda functions are best in our use case because they are serverless and you could schedule AWS Cloud watch events to run periodically.
- Less expensive.
- Fast execution.
- Learning curve, it was a little bit challenging to start with, especially NodeJS runtime functions.
- Easy alerting mechanism upon failed invocations.
- Troubleshooting errors. We can write logs inside the function, however, if we have the ability inside the Lambda function where you raise a type of error, it can create an alert automatically, it would be great.
Serverless data communication
- Machine to machine communication.
- Automatic invocation.
- Error reporting.
- Better interface.
- Deployment methodology.
Any language, fast and simple
- AWS Lambda is a great compute engine that allows you to run and execute your computation code without the need of maintaining servers and the overhead that comes with that.
- We all can use our favorite programming language to develop the functions.
- AWS Lambda is the fastest server setup on the market.
- The relationship with S3 Triggers leaves a lot of room for improvement.
- The solution community forums leave a lot to be desired.
- The AWS Lambda UI experience could aid an overhaul. It's not unusable but not a great reflection of how great the service product is.
AWS Lambda for DBA maintenance
- I have used the AWS Lambda for moving the RDS snapshots from cross-region like East to West and West to East. We used it as part of our DR solution. AWS Lambda is the service provided by AWS, and it makes it easy to manage the AWS resources.
- I have used AWS Lambda for running a cleanup code against the database at scheduled times. I use Python as the coding language. AWS Lambda is the service provided by AWS, which makes easy to manage the AWS resources.
- We can use AWS lambda function for serverless architecture.
- We can use AWS Lambda for managing Micro-service architecture.
- AWS Lambda has not worked in an efficient way for running long-lived applications, especially on serverless architecture.
- AWS Lambda provides a zip deployment method, but there is a limit on size, like 500MB.
- AWS Lambda has a significant issue with "Cold Start." It takes some time for it to handle the first request -- there, we see a real problem.
AWS Lambda, a best in class serverless workload
- Reliable for low workloads.
- It's an easy entry point for development.
- Quick speed to market.
- It would be good to have more distribution about upgrades or changes to the platform.
- A little more documentation on the nuances of the offered supported languages.
- A little more portability of some of the code once you've developed it from other cloud platforms.
Most popular for a reason
- It automatically scales up your functions when demand is high.
- It allows developers to focus only on business logic,
- It is very cost-effective, since you're not paying for idle server time.
- There is a lot to configure, as is the case with most of AWS's offerings. I wish it were easier to set up API Gateway with Lambda responders.
- The default logging destination (CloudWatch) leaves much to be desired, and we opted for an external logging tool (Splunk) instead.
- Cold starts are a persistent problem which can be mitigated with a simple cron job but would ideally be handled by the platform.
AWS Lambda - The Unseen, Low-Cost Workhorse of the Cloud
This allows us to keep throughput for messages in our app low, and scaling is nearly automatic and instantaneous. We needed a way for our app and data to be presented to a multitude of 3rd party applications and services and didn't want to make all these points of contact happen inside our main app. Therefore we chose a queue-based approach where our main app delivers messages to a queue and the Lambdas pick those messages up and process them until the queue is empty or more Lambdas are needed.
Lambdas have proven to be very cost-effective and prevents us from needing to incur uptime for other servers.
- Reliability - Lambdas just work. They do their job and quite well. I've never had any hiccups with them as a unit of hardware.
- Scalability - This automatic scaling and availability are amazing. It's like having a fleet of servers at the ready but only when needed. And at a fraction of the cost.
- Price - AWS gives you a generous helping of free invocations every month, and even after that, it's still cheap compared to an always-on solution.
- The UI and Developer experience is not so great. IF you use an abstraction like Serverless Application Model (SAM), things get pretty easy, but it's still AWS UI/DX you're working with after that (which is to say, not their strength).
- Documentation is always a mixed bag. Sometimes it's just easier to google your specific problem and see how others have solved it. This can be much faster than trying to find an example that may or may not be there in the documentation (which oftentimes has multiple versions and revisions).