blog

How to Implement AWS Request Signing with Grafana Agent

Implementing AWS request signing within your applications is pivotal when dealing with secure API communications, especially with services hosted on AWS. In this article, we will explore how to implement AWS request signing using Grafana Agent and integrate it seamlessly with various API management tools such as AI Gateway, Kong, and API Developer Portal. We’ll cover the necessary steps, code snippets, and best practices surrounding data encryption in this context.

Introduction to AWS Request Signing

AWS request signing is a crucial security feature provided by Amazon Web Services (AWS) that ensures your requests to AWS services are both authenticated and authorized. AWS uses the signature version 4 signing process, which is designed to secure HTTP requests to AWS services, thereby ensuring that only authorized requests are processed.

When you’re using a monitoring tool like the Grafana Agent to visualize logs and metrics, it’s common to need to securely sign these requests to retrieve metrics from various AWS services.

Why Use AWS Request Signing?

  1. Security: It prevents unauthorized access to AWS services by ensuring that requests are valid and signed by an authorized entity.
  2. Integrity: Any modification to the request will invalidate the signature, thus ensuring the integrity of the requests.
  3. Auditability: Each signed request can be traced back to the requester, making auditing and compliance easier.

Setting Up Grafana Agent

Before we dive into request signing, you need to set up the Grafana Agent. You can deploy Grafana Agent in just a few steps as follows:

Installation of Grafana Agent

curl -sSO https://raw.githubusercontent.com/grafana/agent/main/quick-install.sh
bash quick-install.sh

Configuration of Grafana Agent

After installation, the Grafana Agent configuration needs to be adjusted to include your AWS credentials and signing process.

Example Configuration

Create a configuration file agent.yaml as follows:

server:
  http_listen_port: 12345

integrations:
  prometheus_remote_write:
    url: https://your-prometheus-instance/api/v1/write
    sigv4:
      access_key_id: "YOUR_AWS_ACCESS_KEY_ID"
      secret_access_key: "YOUR_AWS_SECRET_ACCESS_KEY"
      region: "YOUR_AWS_REGION"

Ensure to replace YOUR_AWS_ACCESS_KEY_ID, YOUR_AWS_SECRET_ACCESS_KEY, and YOUR_AWS_REGION with actual AWS credentials.

AWS Signature Version 4 Signing Process

AWS Signature Version 4 process includes several steps that are followed to generate a valid signature. A quick overview of the steps is as follows:

  1. Create a Canonical Request
  2. Create a String to Sign
  3. Calculate the Signature
  4. Add the Signature to the Request

Step-by-Step Signing Process

Below is an example of how the signing is typically performed using code:

import datetime
import hashlib
import hmac

def sign_request(access_key, secret_key, region, service, request_parameters):
    method = 'POST'
    endpoint = f'https://{service}.{region}.amazonaws.com/'
    request_parameters = request_parameters

    # Time and date
    request_date = datetime.datetime.utcnow()
    amz_date = request_date.strftime('%Y%m%dT%H%M%SZ')
    date_stamp = request_date.strftime('%Y%m%d')

    # Create canonical request
    canonical_uri = '/'
    canonical_querystring = ''
    canonical_headers = f'host:{service}.{region}.amazonaws.com\nx-amz-date:{amz_date}\n'
    signed_headers = 'host;x-amz-date'
    payload_hash = hashlib.sha256(request_parameters.encode()).hexdigest()
    canonical_request = f"{method}\n{canonical_uri}\n{canonical_querystring}\n{canonical_headers}\n{signed_headers}\n{payload_hash}"

    # Create the string to sign
    algorithm = 'AWS4-HMAC-SHA256'
    credential_scope = f"{date_stamp}/{region}/{service}/aws4_request"
    string_to_sign = f"{algorithm}\n{amz_date}\n{credential_scope}\n{hashlib.sha256(canonical_request.encode()).hexdigest()}"

    # Calculate the signature
    signing_key = get_signature_key(secret_key, date_stamp, region, service)
    signature = hmac.new(signing_key, string_to_sign.encode(), hashlib.sha256).hexdigest()

    return signature

def get_signature_key(key, date_stamp, region_name, service_name):
    k_date = hmac.new(('AWS4' + key).encode(), date_stamp.encode(), hashlib.sha256).digest()
    k_region = hmac.new(k_date, region_name.encode(), hashlib.sha256).digest()
    k_service = hmac.new(k_region, service_name.encode(), hashlib.sha256).digest()
    k_signing = hmac.new(k_service, b'aws4_request', hashlib.sha256).digest()
    return k_signing

This code example illustrates how to create an AWS signature programmatically. Ensure to replace the service accordingly when making the actual request.

Integration with API Gateway and Kong

AI Gateway

AI Gateway is often used to manage, authenticate, and route API requests. To implement AWS request signing with AI Gateway, you need to configure the gateway to use a pre-defined signing method that takes input from your Grafana Agent setup.

Kong API Gateway

Kong is another powerful API Gateway. To utilize AWS signing in Kong, you may need to set up a plugin that captures the requests and attaches the AWS signature. Here’s a simple example of a Kong plugin configuration:

{
    "name": "aws-signature",
    "service": {
        "id": "YOUR_SERVICE_ID"
    },
    "config": {
        "access_key": "YOUR_ACCESS_KEY",
        "secret_key": "YOUR_SECRET_KEY",
        "region": "YOUR_REGION"
    }
}

Replace YOUR_SERVICE_ID, YOUR_ACCESS_KEY, YOUR_SECRET_KEY, and YOUR_REGION with actual values.

API Developer Portal

API Developer Portals allow users to access APIs securely. When using AWS signatures here, you would generally have to ensure that all API routes through the portal incorporate signature verification. Implementing a traffic handler in your portal that validates the signatures against your set algorithms can enhance your security posture.

Example Configuration

The portal requires configurations where requests are captured and validated:

api:
  routes:
    - path: /your/path
      handle:
        - name: SignValidator
          config:
            access_key: "YOUR_ACCESS_KEY"
            secret_key: "YOUR_SECRET_KEY"

This method will ensure each request sent through the developer portal gets authenticated.

Data Encryption Considerations

While AWS Request Signing handles authentication, it’s essential to consider additional methods of data encryption. Security practices such as Transport Layer Security (TLS) for data in transit and AWS encryption services for data at rest are necessary.

Aspect Recommendation
Data in Transit Use HTTPS with TLS
Data at Rest Utilize AWS KMS for encryption
API Credentials Storage Utilize encrypted secrets management

Conclusion

Implementing AWS Request Signing with Grafana Agent is crucial for maintaining the security and integrity of your APIs. By integrating with platforms such as Kong and AI Gateway, you enhance the security footprint of your applications and manage your APIs efficiently.

With evolving security requirements, enabling robust authentication methods through AWS ensures not only compliance but also fosters trust.

APIPark is a high-performance AI gateway that allows you to securely access the most comprehensive LLM APIs globally on the APIPark platform, including OpenAI, Anthropic, Mistral, Llama2, Google Gemini, and more.Try APIPark now! 👇👇👇

In summary, AWS request signing paired with effective tools like Grafana Agent provides a robust solution for secure API communications. Ensuring you have the correct configurations and understanding the signing process will lead into a successful implementation. Always keep security as a priority, particularly when dealing with sensitive data.

Recommended Next Steps

  1. Explore more about Grafana Agent and its integrations with monitoring systems.
  2. Keep abreast of the latest AWS security best practices.
  3. Consider penetration testing to monitor your AWS API security.

In this article, we looked at a comprehensive overview of how to implement AWS request signing with Grafana Agent while integrating with various API management solutions for your application security needs. This ensures a sealed, secure environment for operations involving AWS services.

🚀You can securely and efficiently call the Claude(anthropic) API on APIPark in just two steps:

Step 1: Deploy the APIPark AI gateway in 5 minutes.

APIPark is developed based on Golang, offering strong product performance and low development and maintenance costs. You can deploy APIPark with a single command line.

curl -sSO https://download.apipark.com/install/quick-start.sh; bash quick-start.sh

APIPark Command Installation Process

In my experience, you can see the successful deployment interface within 5 to 10 minutes. Then, you can log in to APIPark using your account.

APIPark System Interface 01

Step 2: Call the Claude(anthropic) API.

APIPark System Interface 02