AWS Lambda

Website

aws.amazon.com

$ Details

Categories

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

Azure Storage

Website

azure.microsoft.com

$ Details

-

Categories

#Cloud Storage #Object Storage #Storage #Cloud Computing

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.

Azure Storage features and specs

• Scalability
  Azure Storage offers virtually unlimited scalability to store and manage large amounts of data, making it suitable for applications with growing data needs.
• Accessibility
  Data stored in Azure Storage can be accessed from anywhere in the world via HTTP or HTTPS, providing flexibility for global teams and applications.
• Durability
  Azure offers multiple copies of data both within the same region and across different regions, ensuring high durability and data protection against physical failures.
• Security
  Azure Storage provides strong security features, including encryption at rest and in transit, identity-based access control, and integration with Azure Active Directory.
• Cost-effectiveness
  Azure Storage provides a pay-as-you-go model, reducing costs for organizations since they only pay for the storage resources that they actually use.
• Integration with other Azure Services
  Seamless integration with a wide array of other Azure services like Azure Functions, Azure Kubernetes Service, and Azure Machine Learning.

Possible disadvantages of Azure Storage

• Complexity
  The range of options and configurations for Azure Storage can be overwhelming for new users, requiring a learning curve to effectively utilize its features.
• Network Dependency
  Since Azure Storage is cloud-based, its performance can be heavily reliant on network connectivity and bandwidth.
• Cost Management
  While Azure Storage is cost-effective for scalable usage, costs can quickly rise with increasing data amounts and egress, necessitating careful management and monitoring.
• Latency
  Although Azure provides a global infrastructure, latency may still be an issue for certain applications requiring real-time data processing, especially if the data is not stored in regions close to users.
• Service Availability
  Occasional service outages or downtimes can occur, which may impact businesses reliant on Azure Storage for critical applications, though these are generally rare.

Analysis of AWS Lambda

AWS Lambda Vs EC2 | Serverless Vs EC2 | EC2 Alternatives

More videos:

Azure Storage Overview

More videos: