Addigy VS AWS Lambda

• Cloud-based
  So there’s no need to maintain your own infrastructure or servers
• Multi-tenant
  To easily manage multiple organizations
• Automated Device Enrollment
  For seamless onboarding of devices out-of-the-box
• macOS Agent
  More than simply MDM, the Addigy macOS agent allows you to work with macOS devices as if you’re sitting at the keyboard
• Zero Touch Deployment
  With Apple Business Manager and Apple School Manager integration
• Real-Time Device Management
  Get real-time access to every device
• PPPC Profiles Distribution
  Automatically generate the necessary PPPCs to deploy with the custom software you need to deliver
• OS Patch Management
  Quickly review relevant updates and keep devices up-to-date
• Automated System Updates
  Seamlessly rollout new OS across your fleet at a scheduled time
• Software Deployment
  Deploy almost any software or settings to one or more managed devices at the same time
• Unlock Devices
  Unlock devices remotely
• Automated Maintenance
  Run regular maintenance tasks automatically on a predetermined schedule
• LiveDesktop
  Create a secure, remote live session with a Mac without end-user interaction or approval
• Self Service
  Allow end-users to install admin-approved applications, run pre-loaded scripts, request support, and get notifications for maintenance
• Identity Management
  Access to Addigy and macOS devices for users with already familiar and secure identity provider credentials (supports Okta, Google, AzureAD, O365, and SAML based providers)
• Third-Party Patch Management
  Keep commonly used third-party applications patched automatically
• Public Software Catalog
  Access and deploy commonly used third-party applications with just a few clicks
• Remote Access
  Immediately launch a remote control session with a managed device
• Remote Terminal
  Launch terminal access with a single click with LiveTerminal
• Remote Monitoring
  Monitor for anything that falls outside of your security standard
• Automated Remediation
  Resolve monitoring issues automatically
• Group Policies
  Create, configure, deploy and delete policies quickly and easily

• 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

• 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.

3-Minute Overview

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