Tranforming cloud from server to serverless
I used AWS lambda in one of project which was developed by company I am currently in. My current company is AWS partner network …
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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…
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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
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 run and scale code with high availability.
Reviewers rate Usability highest, with a score of 9.
The most common users of AWS Lambda are from Small Businesses (1-50 employees).
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April 29, 2021
AWS Lambda is the king of serverless compute services!
At my current place of work as well as for personal projects AWS Lamba is currently used for many different projects. A few examples are "image resizers", "data processing" and invalidating cache from a 3rd party webhook. It allows for quick, easy, and inexpensive setup and maintenance especially using 3rd party libraries like "Serverless".
- 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
We use AWS Lambda to help us automate the process of start/stop EC2 instances in AWS. We use it in infrasctructure but it affects the whole organization and most of our internal servers and customer servers are in AWS. With this automation, we cut our cost by 35% which is a very significant amount for a small company.
- 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.
November 17, 2019
Going Serverless Without Being Rudderless: AWS Lambda
Our university department is responsible for several web applications on campus that support student success, including providing online services for students directly, as well as supporting workflows and activities of other departments and divisions. As we move more and more of our applications into the AWS cloud, we have found Lambda to be a great way to simplify some of our web services and "housekeeping" processes; the fact that we're only charged for Lambda function calls, and not for the infrastructure which supports Lambda, helps us save on hosting costs, as well!
- 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.
October 30, 2019
AWS Lambda Review
Monitoring Usecase:
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.
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.
August 16, 2019
AWS Lambda - The Unseen, Low-Cost Workhorse of the Cloud
We use AWS Lambda (in conjunction with SAM) to produce a decentralized notification and delivery system for 3rd Party integrations to our SaaS product.
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.
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).
August 12, 2019
AWS Lambda - Cloud functions with infinite scalability
We use AWS Lambda to host our micro-services that don't need to worry about too much infrastructure. Lambdas are great at running pieces of code that don't necessarily have to belong in the main infrastructure. We have a few different lambdas that each have single responsibilities, such as creating and uploading files to S3, and running complex calculations.
- Runs "functions" in the cloud. Pretty simple really
- Always having the latest version available
- Not having to worry about infrastructure
- Anything too complex is not a great solution
- Can take a little while to spin up if inactive for a while
- Can be easy to misuse or abuse.
February 09, 2019
The Serverless Standard
The engineering and data science teams at my organization use AWS Lambda to rapidly deliver features that are easy to maintain. We use Lambda with the Serverless framework, API Gateway, and DynamoDB to build managed micro-services that are easy to scale. We use Lambda with AWS Step Functions and S3 to build background jobs.
- 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.
AWS Lambdas are the true workhorses powering our ETL (Extract, Transform, and Load), Data Warehouse, and Business Intelligence solution. We integrate with dozens of registration platforms and third-party services, loading fully normalized customer data into RDS and Redshift, enabling machine learning, forecasting, CRM, marketing automation, business intelligence, and performance monitoring.
- 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.