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AWS Secrets Manager VS AWS Lambda

Compare AWS Secrets Manager VS AWS Lambda and see what are their differences

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AWS Secrets Manager logo AWS Secrets Manager

AWS Secrets Manager to Rotate, Manage, Retrieve Secrets

AWS Lambda logo AWS Lambda

Automatic, event-driven compute service
  • AWS Secrets Manager Landing page
    Landing page //
    2023-03-15
  • AWS Lambda Landing page
    Landing page //
    2023-04-29

AWS Secrets Manager features and specs

  • Automated Secret Rotation
    AWS Secrets Manager provides built-in support for automatic rotation of secrets, which enhances security by frequently changing passwords and other sensitive information.
  • Centralized Secret Management
    You can manage all your secrets from a single location, simplifying the process of keeping track of credentials, API keys, and other sensitive data across various applications and services.
  • Integration with AWS Services
    AWS Secrets Manager is well integrated with other AWS services such as RDS, Redshift, and IAM, making it easier to manage and retrieve secrets within the AWS ecosystem.
  • Fine-Grained Access Control
    Utilizes AWS IAM to provide fine-grained access control policies, allowing you to precisely define who can access specific secrets, enhancing security.
  • Secure Secret Storage
    Secrets are stored securely using encryption standards provided by AWS Key Management Service (KMS), ensuring that the data is protected both at rest and in transit.
  • Audit and Compliance
    AWS Secrets Manager facilitates compliance with regulatory requirements by providing logging and monitoring capabilities, enabling you to track access and changes to secrets.

Possible disadvantages of AWS Secrets Manager

  • Cost
    AWS Secrets Manager can be more expensive compared to other secret management solutions, especially as the number of stored secrets and API requests increase.
  • Vendor Lock-In
    Relying on AWS Secrets Manager can increase dependency on AWS services, which might be a drawback if you are considering a multi-cloud strategy.
  • Complexity
    The integration and setup process can be complex, especially for organizations without prior AWS experience, potentially requiring a steep learning curve.
  • API Limits
    AWS imposes API request limits, which might be restrictive for applications with high-frequency secret access needs, potentially resulting in throttling issues.
  • Regional Availability
    Not all AWS regions may support Secrets Manager, which can be a constraint for global applications that require multi-region deployments.

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.

AWS Secrets Manager videos

+ Add

Understanding AWS Secrets Manager - AWS Online Tech Talks

More videos:

  • Review - AWS Secrets Manager
  • Tutorial - Python - How to access DB credentials from AWS Secrets Manager? | AWS Secrets Manager Tutorial

AWS Lambda videos

+ Add

AWS Lambda Vs EC2 | Serverless Vs EC2 | EC2 Alternatives

More videos:

  • Tutorial - AWS Lambda Tutorial | AWS Tutorial for Beginners | Intro to AWS Lambda | AWS Training | Edureka
  • Tutorial - AWS Lambda | What is AWS Lambda | AWS Lambda Tutorial for Beginners | Intellipaat

Category Popularity

0-100% (relative to AWS Secrets Manager and AWS Lambda)

AWS Secrets Manager

AWS Lambda

Identity And Access Management
100 100%
Identity And Access Management
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100
Identity Provider
100 100%
Identity Provider
0% 0
Cloud Hosting
0 0%
Cloud Hosting
100% 100

User comments

Share your experience with using AWS Secrets Manager and AWS Lambda. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS Secrets Manager and AWS Lambda

AWS Secrets Manager Reviews

We have no reviews of AWS Secrets Manager yet.
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AWS Lambda Reviews

Top 7 Firebase Alternatives for App Development in 2024
AWS Lambda is suitable for applications with varying workloads and those already using the AWS ecosystem.
Source: signoz.io

Social recommendations and mentions

Based on our record, AWS Lambda should be more popular than AWS Secrets Manager. It has been mentiond 273 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AWS Secrets Manager mentions (76)

  • Your Plaintext Email is a DevSecOps Blind Spot
    A Hardened Channel for Sensitive Communication: While dedicated secrets management tools (like HashiCorp Vault, AWS Secrets Manager, etc.) are essential for storing and managing application secrets, secure E2EE email provides a significantly safer channel for human-to-human communication that might involve discussing sensitive topics, sharing unavoidable one-off credentials (with immediate rotation plans), or... - Source: dev.to / 20 days ago
  • Building Custom Kendra Connectors and Managing Data Sources with IaC
    Some data sources are protected by some form of credentials. Unless the data source is a public website or stored in another AWS resource such as Amazon S3, Kendra or your custom data source will need credentials to fetch data. In either case, AWS Secrets Manager can be used to securely manage your credentials. - Source: dev.to / about 1 month ago
  • Deploy AWS Lambda Functions and Amazon DynamoDB with AWS CDK on LocalStack
    In this example, we need to set up two AWS Lambda, AWS Secrets Manager and Amazon DynamoDB resources. - Source: dev.to / about 1 month ago
  • Enhancing Your CI/CD Security: Tips and Techniques to Mitigate Risks
    You have to handle secrets like API keys and passwords carefully. Instead of hardcoding them into your code, you should use secure secrets management tools like HashiCorp Vault or AWS Secrets Manager. Additionally, following API key authentication best practices ensures secure handling of sensitive credentials. This keeps sensitive information protected and reduces the risk of accidental leaks. - Source: dev.to / about 1 month ago
  • Starters Guide: End-to-End Guide to Building with LLMs on SageMaker
    Credential Management: Avoid storing sensitive data like access keys directly, utilizing AWS Secrets Manager, or using environment variables. - Source: dev.to / 3 months ago
View more

AWS Lambda mentions (273)

View more

What are some alternatives?

When comparing AWS Secrets Manager and AWS Lambda, you can also consider the following products

Microsoft Azure Active Directory - Azure Active Directory is a comprehensive identity and access management cloud solution that provides a robust set of capabilities to manage users and groups and help secure access to applications including Microsoft online services like Office 365 …

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

SecureLink for Enterprise - Privileged Access Management

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

JumpCloud - Cloud-based directory services. Alternative to Microsoft Active Directory.

Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale

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