AWS Lambda and Amazon EC2 Auto Scaling both cater to server management without direct infrastructure oversight, competing in the cloud services domain. Lambda has the upper hand due to its serverless structure and lower operational costs, which appeal to developers seeking agility and scalability.
Features: AWS Lambda offers a serverless architecture that simplifies deployment without the need to manage infrastructure, supports multiple programming languages, and ensures scalability. Amazon EC2 Auto Scaling focuses on resource management through automatic capacity adjustment to maintain performance, providing flexibility and high availability for traffic spikes.
Room for Improvement: AWS Lambda can improve its external integration capabilities, enhance security, and address cold-start delays. It also needs a broader language support range and an enhanced user interface. Amazon EC2 Auto Scaling users express concerns about its pricing structure, particularly for unoptimized scaling usage. There's a call for improved technical support and better setup documentation.
Ease of Deployment and Customer Service: AWS Lambda is praised for its straightforward deployment in public cloud environments, though users note variability in technical support quality. Amazon EC2 Auto Scaling is also easy to deploy but needs improvements in technical support, with users seeking more intuitive guidance during deployment.
Pricing and ROI: AWS Lambda's pay-per-use model makes it cost-effective for fluctuating workloads, offering strong ROI by minimizing server maintenance costs. It is generally inexpensive for small applications. Amazon EC2 Auto Scaling has a flexible usage-based pricing model, yielding cost savings if well-managed but can become costly with continuous scaling, impacting ROI if not optimized.
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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