AWS Lambda

Website

aws.amazon.com

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Categories

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

tsuru

Website

tsuru.io

$ Details

Categories

#Cloud Computing #Cloud Hosting #PaaS #Backend As A Service

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.

tsuru features and specs

• Flexibility
  Tsuru is designed to be agnostic to the underlying infrastructure, allowing deployments across various cloud providers or on-premises environments, which provides significant flexibility in managing and scaling applications.
• Ease of Use
  The platform simplifies the deployment process by making it easy to push applications using Git, perform updates, and manage application lifecycles, which reduces the complexity for developers and operations teams.
• Multi-language Support
  Tsuru supports multiple programming languages out of the box, thanks to its pluggable architecture, making it suitable for diverse application stacks without requiring additional configuration.
• Built-in Monitoring and Logging
  The platform includes integrated tools for monitoring and log management, which can help teams quickly identify and resolve issues, improving operational efficiency.
• Open Source
  Being open source means that developers can customize the platform to fit their specific needs, contribute to its improvement, and avoid vendor lock-in.

Possible disadvantages of tsuru

• Complex Setup
  Initial setup of Tsuru may require significant effort and expertise, especially for teams unfamiliar with container orchestration or those lacking experience with related technologies.
• Community and Support
  While Tsuru is open source, it may not have as large or active a community as some more popular alternatives, potentially leading to longer resolution times for issues or limited third-party resources and documentation.
• Ecosystem Maturity
  Compared to more widely adopted platforms like Kubernetes, Tsuru's ecosystem might be less mature, possibly resulting in fewer integrations and third-party tools.
• Learning Curve
  For teams used to traditional infrastructure or other PaaS solutions, transitioning to Tsuru might involve a learning curve due to its concepts and operational model.
• Feature Availability
  Some advanced features available in other leading platforms might not be present or as fully developed in Tsuru, which could be a consideration for teams with specific high-level operational needs.

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