AWS Lambda

Website

aws.amazon.com

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Categories

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

AWS Identity and Access Management

Website

aws.amazon.com

$ Details

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Categories

#Identity And Access Management #Identity Provider #SSO #Single Sign-On

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 Identity and Access Management features and specs

• Granular Control
  AWS IAM provides highly granular control over permissions, allowing administrators to fine-tune access policies down to individual actions on specific resources.
• Scalability
  IAM is designed to scale with your AWS usage, accommodating complex organizational structures and a large number of users without performance degradation.
• Integration with AWS Services
  Seamlessly integrates with all AWS services, enabling unified access management across the entire AWS ecosystem.
• Security Features
  Includes advanced security features like multi-factor authentication (MFA), roles, and temporary security credentials to enhance the security of AWS accounts.
• Audit and Compliance
  AWS IAM provides detailed logging and monitoring capabilities through AWS CloudTrail, facilitating compliance with regulatory requirements.
• Cost-Effective
  IAM is free of charge, with no additional costs beyond the consumption of AWS resources themselves.

Possible disadvantages of AWS Identity and Access Management

• Complexity
  The extensive capabilities of IAM can lead to complexity, making it challenging for new users to fully understand and configure permissions effectively.
• Limited User Interface
  The IAM management console UI can be less intuitive, which may slow down the process of setting up and managing access policies.
• Initial Setup
  Setting up IAM for a large organization with specific security requirements can be time-consuming and requires careful planning.
• Learning Curve
  There is a steep learning curve for understanding IAM policies, roles, and their correct implementation, which might require specialized training.
• Documentation Complexity
  While extensive, AWS documentation for IAM can sometimes be overwhelming and complex, making it difficult to find specific information quickly.

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