What can you construct with AWS Lambda? Let’s have a look on the use cases below:
You can utilize AWS Lambda to implement code in reply to triggers such as shifts in system state, changes in data, or actions by users. Lambda can be straightly triggered by AWS services such as S3, Kinesis, DynamoDB, SNS, and CloudWatch, or it can be arranged into workflows by AWS Step Functions. This permits you to build a diversity of real-time serverless data processing systems.
REAL-TIME FILE PROCESSING
You can utilize Amazon S3 to trigger AWS Lambda to process data right away after it is uploaded. For example, you can utilize Lambda to transcode videos, index files, thumbnail images, process logs, aggregate and filter data in real-time and validate content.
REAL-TIME STREAM PROCESSING
You can utilize AWS Lambda and Amazon Kinesis to develop real-time streaming
data for transaction order processing, click stream analysis, application activity tracking, data cleansing, log filtering, indexing, metrics generation, IoT device data telemetry and metering and social media analysis.
EXTRACT, TRANSFORM, LOAD
You can utilize AWS Lambda to execute data validation; sorting, filtering, or other transformations for each data change in a DynamoDB table and upload the transformed data to an additional data store.
With the use of AWS Lambda you can build serverless backends to handle mobile, Internet of Things (IoT), web and third party API requests.
You can construct serverless backends with the use of AWS Lambda to handle Internet of Things (IoT), web, mobile, and 3rd party API requests.
You can construct backends with the use of AWS Lambda and Amazon API Gateway to validate and process API requests. Lambda will make it easier to built rich, personalized app experiences.
By merger of AWS Lambda with another AWS services, developers can construct powerful web applications that mechanically scale up and down and run in a extremely accessible configuration across numerous data centers – with zero managerial effort needed for scalability, multi-data center redundancy or back-ups.