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 Mid-sized Companies (51-1,000 employees).
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Score 9 out of 10
Vetted Review
Verified User
I used AWS Lambda to interact with the API Gateway and DynamoDB. It was used to retrieve and push data into the database. As a part of the project, it helped us a lot making the task quicker, simpler and more convenient.
- Cross Language Support
- Fast and Scalable
- Always running
- Initial understanding takes time
July 12, 2019
AWS Lambda can be game changer
AWS Lambda is being used by my organization in various projects. In my project, we have more than 10 AWS Lambda services and for each, they are being run on several stages. We are using AWS Lambda for general authentication mechanism integrated with API Gateway. We have an event-driven design and the lambda I have written is consuming and processing events. Those events are also coming from AWS SQS, SNS, and S3. Since AWS Lambda is very easy to configure, it makes you only focus on what you need to do.
It is also very easy to integrate it with other AWS services, like consuming AWS SQS or SNS messages, and you can write your own API in minutes while integrating your Lambda with AWS API gateway.
It is also very easy to integrate it with other AWS services, like consuming AWS SQS or SNS messages, and you can write your own API in minutes while integrating your Lambda with AWS API gateway.
- 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.
July 07, 2019
Excellent Serverless provided by AWS
Score 8 out of 10
Vetted Review
Verified User
We are building a system for log and data processing in AWS Lambda, S3, DynamoDB and Redshift. Data is collected and uploaded to S3 and a Lambda will be invoked to do the main processing function. It extracts and analyzes data, then puts metadata into DynamoDB and main data into Redshift. With Lambda, we are able to spin up thousands of the instances to process input S3 objects in a very short time and then remove them when finished, all with the same pattern and high performance. It saves on our development cost as implementing and deploying AWS Lambda is quite simple compared with EC2 or other services.
- 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.
June 13, 2019
Using AWS Lambda for Data ETL
AWS Lambda is mostly being used to run our hourly/daily cron jobs. It is used across the entire organization. It helped us move data between external and internal data sources to the appropriate destinations.
- 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.
We are already using other AWS services like EC2, RDS, S3, etc. and they are super reliable and easy to maintain. We use AWS Lambda to host our serverless function which is responsible for authentication. We have also started moving our microservices from EC2 to Lambda.
- 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.
April 24, 2019
Something best for startup project
We use AWS Lambda and other AWS services for a couple of projects. "Vacation Tracker" project uses the most AWS services. We also use AWS Lambda for Slack Bot, API and notifications. In DynamoDB for DB, we use SNS, SQS, and other AWS services. We saved a lot of time writing the API with AWS Lambda not needing BackEnd programmers. All programmers are Full Stack.
It's an easy way to create API for mockup of the product. It's cheap for a startup product. And, with Claudia JS you can create APIs very fast. With the Claudia Bot Builder, you can create a bot for Slack, Facebook, Viber, and more.
- 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.
April 12, 2019
Best Cloud Platform
A scalable tool used to configure applications which can be used from outside the organization's environments. The servers are managed on their own by AWS, which is one less task to be taken care of. Can be easily integrated with other back-end APIs like Node.js or Python. Highly scalable, load balancers are configured automatically.
- 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.
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.
January 24, 2019
Very developed cost-saving product!
We use AWS Lambda to host our serverless lambda functions. It allows us to execute segments of our computational code that don't require actual virtual machines hosted on compute engines. This allows us to achieve very low costs for simple pieces of code that can be run quickly a large number of times.
- 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.
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.
September 07, 2018
The future of Software is Serverless.
Score 10 out of 10
Vetted Review
Verified User
At Newstex, we use AWS Lambda for a large portion of our AWS workload. We are slowly transitioning all of our services over to Lambda from our previous EC2 servers. Currently we use Lambda to run feed processing, categorization, and normalization of blog posts. We are also using it to monitor our CloudWatch Logs for anomalies and alert our on-call staff to potential issues. We trigger Lambda from CloudWatch events (scheduled) as well as DynamoDB streams and SQS Queues.
- 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
I am using AWS Lambda to process data for a U.S. Government client's website. There are a number of short term processing items that are required to be performed every day and the cost of running these processes cannot be too high. AWS Lambda fits this bill perfectly. The website delivers the data to the AWS Lambda functions and the data gets processed and then passed back to tthe website via AWS S3.
- 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.
June 08, 2018
Simple server-less services!
We've used AWS Lambda to deploy several "serverless services". The ability to quickly deploy functions, with no architecture, across several languages, with interoperability between other AWS components (such as S3), at an extremely low cost is really cool. We use Lambda to automate simple processes as well as to run code in languages that aren't supported by our main stack.
- 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
May 01, 2018
AWS Lambda is like no other!
We use Lambda functions as a way to implement serverless code without having to manage an underlying infrastructure. Lambdas are a great way to allow devs to very quickly get things out the door when the main task doesn't rely on any specific hardware or software and just needs to do something to a stream of data. Lambdas and kinesis streams go hand in hand and are very powerful tools when implemented correctly.
- 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
April 20, 2018
Lambdas for the win
Clients transactional system was built using Lambda, consisting of 3 API's and a front facing Node.js application.
High latency transaction speeds were achieved and the autoscaling meant spikey traffic is dealt with.
High latency transaction speeds were achieved and the autoscaling meant spikey traffic is dealt with.
- 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
AWS Lambda is a great way to perform operations in the cloud without requiring a server. We have used Lambda in our engineering team to help automate AWS related tasks and do so in a way that does not require running an AWS instance. This helped us because sometimes Lambda is one of the most efficient ways to solve a problem that involves the AWS infrastructure.
- 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
April 19, 2018
Scalable, low cost computing
We currently employ Lambda to do a number of event-driven tasks without our backend infrastructure. This ranges from API services to on-the-fly image manipulation. The reason for utilising Lambda in this fashion comes from a few distinct advantages: ease of integration with other AWS services (i.e. we can trigger it extremely easily), cost and scalability. A number of our services have either very low workloads, and thus it would be wasteful to run services 24/7, or very unpredictable demands - both of which Lambda help us with massively.
- 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.
March 29, 2018
AWS Lambda's On-Demand Scripts are Excellent and Easy!
We use AWS Lambda to trigger scripts in response to events in other Amazon Web Services we use. Because AWS Lambda is useful for on-demand processing, we do not have to provision a server to idle in anticipation of the events that trigger its scripts.
- 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.
March 28, 2018
AWS Lambda - immense power in a little box
I use it for running Alexa skills. These are created using Node.js and I found using AWS Lambda functions to be relatively easy to pick up and use! I’ve utilized a handful of Lambda functions and plan on using more in the future.
- Documentation is plentiful
- Setup steps are very helpful
- Debugging process is great
- I’d like to see higher versions of Node.js supported natively.
December 19, 2017
Lambda info
AWS Lamda is used for running code, it is used within our team only and not used within whole origination level. Since the organization, does not require to invest money in specialist software like Jenkins. Also, it reduces our team to eliminate a need for Pre-production environment as other environments can be used as Production like env's and code can be tested in other environments. In future, probably, my team may not need specialist Deploy Engineer.
- 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.