Cloudlytics is a cloud security posture management (CSPM) platform that helps organizations enhance their security across multi-cloud environments. By providing automated security configurations, activity monitoring, and compliance checks, Cloudlytics empowers businesses to detect risks, manage threats, and automate compliance with various regulatory standards.
To maintain their competitive edge, Cloudlytics sought to modernize their backend infrastructure by transforming their workloads from Java 8 to Java 17 to improve performance, ensure security
Business Challenge
Cloudlytics’ backend infrastructure was built on Java 8, which, while effective at the time, presented limitations in terms of security, performance, and scalability.
- Complex Codebase: Cloudlytics’ codebase consisted of 4 million lines of Java code spread across 100+ APIs and 40+ interconnected backend modules. Transforming workloads from Java 8 to Java 17 required a comprehensive code refactor and testing.
- Stringent Timelines and Lean Resources: The workload transformation was initially estimated to take 6 months and require substantial resources. With a lean internal team, Cloudlytics wanted to balance ongoing operations while managing the transformation.
- Comprehensive Testing: With security and compliance being central to Cloudlytics’ offering, thorough testing was essential.
The Solution: Blazeclan’s Expertise with Amazon Q
Cloudlytics partnered with Blazeclan to support the workload transformation project. Blazeclan brought deep technical expertise and a proven track record of helping businesses modernize their IT infrastructure efficiently.
Blazeclan’s Approach:
Blazeclan leveraged Amazon Q, an AI-powered automation assistant designed to accelerate large-scale workload transformations. It provided key functionalities that made the transformation process faster and more efficient:
- Automated Code Refactoring: Amazon Q analyzed Cloudlytics’ legacy Java 8 code, identified outdated patterns, and suggested Java 17 optimizations, reducing the need for manual effort.
- Automated Regression Testing: With AI-driven testing capabilities, Amazon Q ensured the transformed workloads did not disrupt existing functionality, performing automated regression testing to validate that security, performance, and compliance were maintained.
- Resource Optimization: With Blazeclan’s support using Amazon Q’s automation tools, Cloudlytics transformed its workloads with a lean team, reducing effort by 70%, significantly lowering the need for a larger team and associated resource costs.
Key Results
- 4x Faster Workload Transformation: What was initially expected to take 6 months, was completed in just 6 weeks—4x faster than planned.
- Enhanced Performance: Modernization to Java 17 resulted in improved runtime efficiency.
- Stronger Security: Modernization to Java 17 allowed Cloudlytics to address deprecated APIs and security vulnerabilities present in Java 8, improving the platform’s security posture.
- Compliant and Secure Platform: Cloudlytics now benefits from the latest security patches and long-term support, ensuring the platform is secure and compliant with evolving industry regulations.
- Cost Efficiency: Automation of critical transformation processes via Amazon Q reduced resource needs. The project was completed with 70% less effort, significantly lowering operational costs without compromising on quality.
- Scalability for Future Growth: With Java 17’s new features, such as sealed classes and record types, Cloudlytics is now better prepared for future growth and capable of adapting to evolving customer needs.
Key Takeaways
- Speed and Efficiency: Cloudlytics’ workload transformation was completed 4x faster, delivering business benefits in record time.
- Cost-Effective: Automation significantly reduced the resources required for the transformation, leading to substantial cost savings.
- Improved Security and Compliance: Modernizing with Java 17 allowed Cloudlytics to close security gaps and stay in line with industry standards.
- Scalable Infrastructure: Java 17’s new features provide Cloudlytics with a more flexible, scalable infrastructure that supports their long-term growth.
Blazeclan’s expertise in cloud infrastructure modernization and its ability to leverage AI-powered tools like Amazon Q played a crucial role in helping Cloudlytics transform their workloads. With Blazeclan’s support, Cloudlytics was able to accelerate the transformation, improve platform performance, enhance security, and reduce operational costs—all while ensuring the platform is ready for future scalability.