Standardizing Security at Scale: Cloud303 Helps Strategic Link Consulting Automate Logging Solution

AI/ML

DevOps

  • 24 July 2025
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AWS Funding Secured by Cloud303
  • Well-Architected

About the Customer

Strategic Link Consulting is a leader in the consumer specialty finance sector, providing advanced web technology and integrated support services. As a fintech pioneer, maintaining a secure and compliant operational environment is paramount to their business and the trust of their clients. A key component of their security strategy is the centralized analysis of logs in Splunk.

Strategic Link

Executive Summary

Strategic Link Consulting (SLC), a multinational fintech pioneer, partnered with Cloud303 to enhance the security and efficiency of their AWS infrastructure. SLC needed to standardize log collection across numerous AWS services to their central Splunk instance, a process that was manual and inconsistent. Cloud303 designed and delivered a set of reusable Terraform modules to automate the deployment of comprehensive Splunk logging configurations. This project not only streamlined account creation but also significantly empowered Cloud303's Managed Services team, enabling them to provide more robust, consistent, and proactive security monitoring and operational management for SLC.

The Challenge

As SLC's AWS footprint grew, ensuring that every new account and service was correctly configured to forward logs to their Splunk instance became a significant operational challenge. The manual setup process was time-consuming, prone to human error, and resulted in inconsistent logging configurations. This created potential visibility gaps for their security team and for the Cloud303 Managed Services team responsible for monitoring the environment, making it difficult to guarantee comprehensive threat detection and compliance across their entire infrastructure.

Why Cloud303?

  • Expertise in AI/ML Solutions Cloud303 possesses in-depth knowledge and expertise in a wide range of machine learning algorithms and artificial intelligence models. Whether it's natural language processing, computer vision, or predictive analytics, Cloud303 is equipped to design, train, and deploy models that deliver actionable insights and drive business value.
  • Ethical and Responsible AI Ethical considerations in AI/ML are crucial, ranging from bias mitigation to data privacy. Cloud303 adheres to ethical guidelines and best practices in AI, ensuring that models are not only efficient but also fair, transparent, and responsible.
  • Scalable Data Processing Managing the massive datasets that feed AI/ML models is a significant challenge. Cloud303 provides scalable data processing solutions, optimizing both storage and computational capabilities. This ensures that your AI/ML models are trained efficiently and can scale seamlessly with your data requirements.
  • Proven Track Record Whether it's navigating complex data migrations, implementing scalable AI/ML models, or setting up robust DevOps pipelines, Cloud303 has consistently demonstrated its ability to deliver, making it a go-to partner for businesses with complex technical needs.

Engagement Overview

Cloud303's engagements follow a streamlined five-phase lifecycle: Requirements, Design, Implementation, Testing, and Maintenance. Initially, a comprehensive assessment is conducted through a Well-Architected Review to identify client needs. This is followed by a scoping call to fine-tune the architectural design, upon which a Statement of Work (SoW) is agreed and signed.

The implementation phase kicks in next, closely adhering to the approved designs. Rigorous testing ensures that all components meet the client's specifications and industry standards. Finally, clients have the option to either manage the deployed solutions themselves or to enroll in Cloud303's Managed Services for ongoing maintenance, an option many choose due to their high satisfaction with the services provided.

The Proposed Solution

Cloud303 was engaged to develop a standardized, automated solution for deploying Splunk logging configurations across SLC's AWS environment. The solution was to create a set of robust, reusable Terraform modules that would serve as the new standard for infrastructure deployment.

These modules were designed to automatically configure log forwarding to Splunk for a wide array of critical AWS services, including:

  • AWS CloudTrail
  • VPC Flow Logs
  • AWS WAF
  • Amazon GuardDuty
  • AWS Config
  • Amazon S3 bucket access logs
  • Application Load Balancer (ALB) access logs
  • Pre-existing Amazon CloudWatch log groups

Alongside the modules, Cloud303 created a comprehensive playbook detailing the step-by-step process for deploying new accounts and resources using these new, standardized templates.

How AWS Was Used

The solution focused on automating the configuration of essential AWS logging and security services to ensure data was reliably sent to Splunk. This included:

Amazon S3: Used as a durable destination for logs from services like CloudTrail, ALB, and S3 Access Logging before ingestion into Splunk.

Amazon CloudWatch: Acted as the collection point for VPC Flow Logs and application logs from services like EC2, Lambda, and ECS.

Amazon GuardDuty: Findings were captured via Amazon EventBridge and forwarded for real-time threat analysis.

AWS CloudTrail, AWS WAF, and AWS Config: Logs and configuration data from these services were systematically collected and forwarded.

Cloud303's Support Services: Empowering Managed Services

This project perfectly exemplifies the synergy between professional and managed services. While the creation of the Terraform modules was a discrete project, its primary goal was to enhance the long-term value of Cloud303's Managed Services for SLC.

  • Expert Implementation: Cloud303's professional services team brought the deep AWS and Terraform expertise needed to design and build a best-practice, automated solution.
  • Enhanced Managed Services Delivery: The standardized logging templates directly empower the Cloud303 Managed Services team. With this automation, the MSP team is assured that any new infrastructure deployed by SLC automatically adheres to critical security and monitoring standards. This eliminates visibility gaps and allows the MSP team to provide more effective and efficient ongoing services, including:
    • Proactive Threat Detection: With comprehensive logging guaranteed, the team can more reliably detect and respond to security threats identified by GuardDuty and other services.
    • Improved Compliance Monitoring: Consistent logging ensures that SLC can easily demonstrate compliance with regulatory requirements.
    • Faster Incident Response: When operational issues arise, the MSP team has immediate access to the necessary logs for rapid troubleshooting and resolution.

This project transformed a reactive, manual process into a proactive, automated standard, fundamentally improving the quality and efficiency of the managed service Cloud303 provides to SLC.

Outcomes

The implementation of standardized Splunk configurations delivered significant and lasting benefits for Strategic Link Consulting:

Drastically Reduced Deployment Time: Provisioning new, fully configured AWS accounts and services became faster and more efficient.

Strengthened Security Posture: Consistent, comprehensive log collection across all services eliminated security blind spots.

Elimination of Configuration Drift: By using a single set of Terraform modules, SLC ensures that all environments are deployed to the same high standard, reducing operational risk.

Maximized MSP Value: The solution provides the Cloud303 Managed Services team with the reliable data needed to deliver best-in-class security, compliance, and operational support.