AWS Lambda and Amazon EC2 are prominent competitors in cloud computing. AWS Lambda's serverless and cost-efficient operation provides it with a distinct edge in rapid application deployment without the need for infrastructure management.
Features: AWS Lambda operates on a serverless, event-driven model, allowing applications to scale automatically and eliminating infrastructure concerns. It supports multiple programming languages and integrates effectively with other AWS services. Amazon EC2, however, offers powerful compute capabilities with customizable virtual servers, enabling applications to operate with high performance and a range of instance types that cater to more complex workloads.
Room for Improvement: AWS Lambda could enhance runtime capabilities beyond the current 15-minute execution limit and expand stability and integration options. Users also seek improved resource allocation for demanding applications. Amazon EC2, on the other hand, faces challenges with pricing complexity, migration support, and seamless transitions across instance types.
Ease of Deployment and Customer Service: AWS Lambda facilitates rapid deployment due to its serverless nature, requiring no infrastructure management and leverages Amazon's strong support infrastructure, although complex issues may slow resolutions. Amazon EC2 offers granular control during deployment, but demands more expertise from users. Its customer service is reliable, with additional benefits for enterprises needing extensive support.
Pricing and ROI: AWS Lambda's cost-effective, pay-as-you-go pricing model provides significant savings, particularly for variable workloads by avoiding infrastructure costs. The return on investment is optimal due to its usage-based billing. Conversely, Amazon EC2 can become expensive, with pricing intricacies tied to usage and configuration considerations, but offers flexibility and dependability that can justify its higher costs for complex needs.
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.
Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. Amazon EC2 provides developers the tools to build failure resilient applications and isolate them from common failure scenarios.
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.
We monitor all Compute Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.