AWS Lambda

Website

aws.amazon.com

$ Details

Categories

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

Terraform

Website

terraform.io

$ Details

Categories

#DevOps Tools #Developer Tools #Continuous Integration And Delivery #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.

Terraform features and specs

• Infrastructure as Code
  Terraform allows you to define your infrastructure in configuration files that can be versioned and stored in a version control system. This makes it easy to track changes, roll back if necessary, and collaborate with team members.
• Multi-Cloud Support
  Terraform supports various cloud providers such as AWS, Azure, Google Cloud, and others. This allows you to manage your entire infrastructure using a single tool, regardless of the underlying provider.
• Immutability
  Terraform promotes immutable infrastructure, meaning once a component is created, it is not modified in place but replaced if changes are needed. This leads to more predictable and stable deployments.
• State Management
  Terraform maintains the state of your infrastructure, which helps in tracking resource changes over time and making incremental updates. This is crucial for applying changes in a controlled manner.
• Community and Ecosystem
  Terraform has a large and active community, along with a rich ecosystem of providers and modules. This makes it easier to find support, share solutions, and leverage pre-built components.

Possible disadvantages of Terraform

• Complex State Management
  While state management is a significant feature, managing state files can become complex and risky. Issues like state file corruption or sharing between team members can lead to challenges.
• Learning Curve
  Terraform has a steep learning curve for beginners, especially those who are not familiar with infrastructure as code concepts or the HashiCorp Configuration Language (HCL).
• Partial Updates
  Terraform's plan and apply operations are not atomic, meaning that partial updates can sometimes leave your infrastructure in an inconsistent state if an error occurs during execution.
• Dependency Management
  Managing dependencies between resources can be challenging in Terraform. Misconfigured dependencies can lead to issues during resource creation, deletion, or updates.
• Cost Management
  While Terraform is excellent for provisioning resources, it does not have built-in cost management or optimization features. Users need to rely on third-party tools to manage and optimize costs.

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