AWS Lambda

Website

aws.amazon.com

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Categories

#Cloud Computing #Cloud Hosting #Business & Commerce #Object Storage

AWS Elastic Beanstalk

Website

aws.amazon.com

$ Details

Categories

#Cloud Hosting #Cloud Computing #Backend As A Service #Business & Commerce

AWS Lambda features and specs

• Scalability
  AWS Lambda automatically scales your application by running your code in response to each trigger. This means no manual intervention is required to handle varying levels of traffic.
• Cost-effectiveness
  You only pay for the compute time you consume. Billing is metered in increments of 100 milliseconds and you are not charged when your code is not running.
• Reduced Operations Overhead
  AWS Lambda abstracts the infrastructure management layer, so there is no need to manage or provision servers. This allows you to focus more on writing code for your applications.
• Flexibility
  Supports multiple programming languages such as Python, Node.js, Ruby, Java, Go, and .NET, which allows you to use the language you are most comfortable with.
• Integration with Other AWS Services
  Seamlessly integrates with many other AWS services such as S3, DynamoDB, RDS, SNS, and more, making it versatile and highly functional.
• Automatic Scaling and Load Balancing
  Handles thousands of concurrent requests without managing the scaling yourself, making it suitable for applications requiring high availability and reliability.

Possible disadvantages of AWS Lambda

• Cold Start Latency
  The first request to a Lambda function after it has been idle for a certain period can take longer to execute. This is referred to as a 'cold start' and can impact performance.
• Resource Limits
  Lambda has defined limits, such as a maximum execution timeout of 15 minutes, memory allocation ranging from 128 MB to 10,240 MB, and temporary storage up to 512 MB.
• Vendor Lock-in
  Using AWS Lambda ties you into the AWS ecosystem, making it difficult to migrate to another cloud provider or an on-premises solution without significant modifications to your application.
• Complexity of Debugging
  Debugging and monitoring distributed, serverless applications can be more complex compared to traditional applications due to the lack of direct access to the underlying infrastructure.
• Cold Start Issues with VPC
  When Lambda functions are configured to access resources within a Virtual Private Cloud (VPC), the cold start latency can be exacerbated due to additional VPC networking overhead.
• Limited Execution Control
  AWS Lambda is designed for stateless, short-running tasks and may not be suitable for long-running processes or tasks requiring complex orchestration.

AWS Elastic Beanstalk features and specs

• Ease of Use
  AWS Elastic Beanstalk simplifies the process of deploying and scaling web applications and services. It automatically handles deployment, from capacity provisioning, load balancing, and auto-scaling to application health monitoring.
• Integration with AWS Services
  Being part of the AWS ecosystem, Elastic Beanstalk easily integrates with other AWS services like RDS, S3, CloudWatch, and IAM, providing a comprehensive and secure application environment.
• Multi-language Support
  Elastic Beanstalk supports multiple programming languages and frameworks, such as Java, .NET, Node.js, Python, Ruby, Go, and Docker, making it a versatile choice for developers.
• Managed Environment
  Elastic Beanstalk provides a fully managed environment, taking care of the server configurations, operating system, and middleware, which allows developers to focus more on writing code.
• Scalability
  Automatic scaling enables applications deployed on Elastic Beanstalk to handle varying amounts of traffic. The service automatically scales your application up and down based on the demands.

Possible disadvantages of AWS Elastic Beanstalk

• Abstracted Control
  Elastic Beanstalk abstracts away much of the underlying infrastructure. While this simplifies usage, it also limits the amount of control and customization developers have over their environment.
• Cost
  While the pricing model can be cost-effective for some use cases, it may become expensive as applications scale or when advanced features and higher-end resources are required.
• Platform Limitations
  Elastic Beanstalk has certain limitations in terms of supported platforms and regions. Not every AWS service or feature is available in all regions, which could restrict some deployment scenarios.
• Deploy Time
  Deployments can sometimes be slow, especially for large applications or when multiple environment updates are required. This can impact development and iteration cycles.
• Debugging Complexity
  While Elastic Beanstalk manages the environment, diagnosing and debugging issues can sometimes be more complex due to the abstracted infrastructure. Developers may need to delve deeper into AWS logs and metrics for troubleshooting.

Analysis of AWS Lambda

AWS Lambda Vs EC2 | Serverless Vs EC2 | EC2 Alternatives

More videos:

AWS Elastic Beanstalk Tutorial | What Is AWS Elastic Beanstalk? | AWS Tutorial | Simplilearn