AWS Lambda – All you need to know
Handling multiple servers can be painful, especially in the short run. Multiple servers mean multiple developers who need to work on the same code, making the code repository difficult to handle in the long run. One of the biggest disadvantages, in the long run, is the resiliency, which causes the whole back end a mess, making the website crash and slow down eventually.
AWS Lambda is a compute service that lets us run code without provisioning or managing servers. AWS Lambda executes our code only when needed and scales automatically, from a few requests per day to thousands per second. It is a pay as you go service and is a well-managed service hub. It allows us to get rid of over-provisioning costs, as well as avoid the need of any boot time, patching, as well as load balancing. The best part is that we pay only for the compute time we consume – there is no charge when our code is not running. With AWS Lambda, we can run code virtually for any type of application or backend service – all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale our code with high availability. We can set up our code to automatically trigger from other AWS services or call it directly from any web or mobile app.
Advantages of Lambda:
- No Servers to Manage: AWS Lambda automatically runs our code without requiring us to provision or manage servers. Just write the code and upload it to Lambda.
- Continuous Scaling: AWS Lambda automatically scales our application by running code in response to each trigger. The code runs in parallel and processes each trigger individually, scaling precisely with the size of the workload.
- Sub-second Metering: With AWS Lambda, we are charged for every 100ms our code executes and the number of times the code is triggered. We don’t pay anything when our code isn’t running.
- Real-time data processing: Data processing is facile and modification in data or system can be managed easily by the Lambda. Things like real-time image preview, modification of video encoding, content verification and data filtration are taken care of by the Lambda.
- Highly secure: A plus point with Lambda is that it doesn’t require system updates, which makes it even more secure.
- Easy data conversion and handling: Another useful benefit of Lambda is that it enables developers to perform various operations like filtration, sorting, verification and more whenever modification procedures are applied to the DynamoDB table. The data conversion during this course is extremely easy
- Flawless streaming– Lambda allows carefree streaming and data monitoring, which makes processes like app activity tracking, operation sequence monitoring, logs filtering, metrics analysis, social media engagement rates and real-time data analysis of IoT-enabled devices.
- Serverless internal system– AWS Lambda enables developers to create internal serverless systems for handling incoming API requests from multiple sources like mobile, IoT devices, Internet-powered systems and more third-party platforms.
We can use AWS Lambda to execute code in response to triggers such as changes in data, shifts in system state, or actions by users. Lambda can be directly triggered by AWS services such as S3, DynamoDB, Kinesis, SNS, and CloudWatch, or it can be orchestrated into workflows by AWS Step Functions. This allows us to build a variety of real-time serverless data processing systems.
By combining AWS Lambda with other AWS services, we can build powerful web applications that automatically scale up and down and run in a highly available configuration across multiple data centers – with zero administrative effort required for scalability, back-ups or multi-datacenter redundancy.
AWS Lambda is a high-performance computing environment that not only eases developers’ workload but significantly reduces the cost of developing software or app. It works seamlessly in varied situations but should not be considered as a multipurpose service.