AWS Lambda

Website

aws.amazon.com

$ Details

Categories

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

Amazon ElastiCache

Website

aws.amazon.com

$ Details

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Categories

#Databases #NoSQL Databases #Key-Value Database #Graph Databases

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.

Amazon ElastiCache features and specs

• Scalability
  Amazon ElastiCache allows for seamless scaling of your cache cluster. You can easily add or remove nodes to adjust to the workload demands, ensuring efficient resource management.
• Managed Service
  ElastiCache is fully managed by AWS, meaning that infrastructure tasks such as hardware provisioning, patching, and maintenance are handled by Amazon, reducing operational overhead for users.
• High Performance
  Designed for delivering low latency and high throughput, ElastiCache can significantly improve the performance of applications by reducing the time to retrieve data from databases.
• Compatibility
  It supports popular caching engines such as Redis and Memcached, allowing users to work with familiar technologies and migrate existing setups to the AWS environment with ease.
• Security and Compliance
  ElastiCache provides robust security features including VPC integration, data encryption, and IAM policies, helping to ensure compliance with various industry standards.

Possible disadvantages of Amazon ElastiCache

• Cost
  As a premium managed service, ElastiCache can become expensive, especially for large-scale deployments or when utilizing advanced features, which may not be ideal for all budget constraints.
• Limited Customization
  Because it is a managed service, there are limits to the customization of infrastructure and configurations when compared to self-managed solutions, which might not accommodate all specific needs.
• Dependency on AWS Ecosystem
  Using ElastiCache ties your infrastructure to AWS, which might not be suitable for organizations seeking a multi-cloud strategy or those who wish to avoid vendor lock-in.
• Learning Curve
  New users may face a learning curve, especially if they are not already familiar with AWS services and console navigation, potentially requiring additional training or support.
• Regional Limitations
  Not all features may be available in every AWS region, which could impact global deployments and necessitate strategic planning for distribution and redundancy.

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