AWS Lambda and Amazon EC2 Auto Scaling compete in cloud resource management. AWS Lambda seems to have the upper hand in cost-effectiveness and customer support, while Amazon EC2 Auto Scaling offers superior infrastructure management features.
Features: AWS Lambda features automatic scaling, event-driven architecture, and suitability for serverless applications. Amazon EC2 Auto Scaling offers control over scaling policies, integrates with AWS services, and provides consistent performance.
Room for Improvement: AWS Lambda users seek better integration with third-party services, fine-tuning execution duration limits, and improvements in monitoring tools. Amazon EC2 Auto Scaling users desire simplified configuration processes, enhanced documentation, and reduced setup complexity.
Ease of Deployment and Customer Service: AWS Lambda offers simple deployment and an intuitive setup process. Amazon EC2 Auto Scaling involves a steeper learning curve due to its complexity, yet offers extensive control. Both services are recognized for positive customer support, with AWS Lambda noted for responsiveness and efficiency.
Pricing and ROI: AWS Lambda uses a cost-efficient pay-per-use model providing favorable ROI for variable workloads. Amazon EC2 Auto Scaling may incur higher costs due to its resource allocation model, but the scalability and performance justify the investment for long-term operations.
Amazon EC2 Auto Scaling helps you maintain application availability and allows you to automatically add or remove EC2 instances according to conditions you define. ... Dynamic scaling responds to changing demand and predictive scaling automatically schedules the right number of EC2 instances based on predicted demand.
AWS Lambda is a compute service that lets you run code without provisioning or managing servers. AWS Lambda executes your code only when needed and scales automatically, from a few requests per day to thousands per second. You pay only for the compute time you consume - there is no charge when your code is not running. With AWS Lambda, you can run code for virtually any type of application or backend service - all with zero administration. AWS Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, code monitoring and logging. All you need to do is supply your code in one of the languages that AWS Lambda supports (currently Node.js, Java, C# and Python).
You can use AWS Lambda to run your code in response to events, such as changes to data in an Amazon S3 bucket or an Amazon DynamoDB table; to run your code in response to HTTP requests using Amazon API Gateway; or invoke your code using API calls made using AWS SDKs. With these capabilities, you can use Lambda to easily build data processing triggers for AWS services like Amazon S3 and Amazon DynamoDB process streaming data stored in Amazon Kinesis, or create your own back end that operates at AWS scale, performance, and security.
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