AWS Elastic Load Balancing

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aws.amazon.com

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Categories

#Web Servers #Network & Admin #Web And Application Servers #Load Balancer / Reverse Proxy

AWS Lambda

Website

aws.amazon.com

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Categories

#Cloud Computing #Cloud Hosting #Object Storage #Backend As A Service

AWS Elastic Load Balancing features and specs

• Scalability
  AWS Elastic Load Balancing can automatically distribute incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, and IP addresses, promoting application elasticity.
• Health Monitoring
  It continually checks the health of the registered targets, ensuring that traffic is routed only to healthy instances.
• Security
  Integrated with AWS's Certificate Manager and Application Load Balancer, allowing easy deployment of SSL/TLS for secure communication.
• Flexibility
  Supports various types of load balancers: Application, Network, and Classic, each suited to different types of application architectures and requirements.
• Cost-effective
  Pay-as-you-go pricing model ensures you only pay for the resources you use, which can lead to cost savings compared to a fixed-cost solution.
• Integration
  Seamlessly integrates with other AWS services such as Auto Scaling, Route 53, CloudWatch, and more for a more robust solution.

Possible disadvantages of AWS Elastic Load Balancing

• Complexity
  Initial setup and configuration can be complex, especially for users unfamiliar with AWS services and cloud architecture.
• Cost
  While the pay-as-you-go model is cost-effective, the charges can ramp up quickly, especially for high-traffic applications.
• Dependence on AWS Ecosystem
  Highly integrated with AWS services, making it less ideal for multi-cloud or hybrid cloud environments.
• Latency
  In some cases, the load balancer can introduce a slight increase in latency, which might be a concern for latency-sensitive applications.
• Configuration Limitations
  Some specific configurations and customizations may not be possible, leading to constraints on certain types of applications.

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.

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