Overview

A leading data transformation company faced challenges in implementing security and monitoring best practices within their application. They struggled to choose the optimal solution that would ensure a scalable architecture for future growth and Monitoring Best Practices.

Challenges

The client struggled to manage their custom cloud-based solution's IT infrastructure due to its dispersed nature.

  • No visibility into application performance.
  • Absence of DevSecOps practices in application development.
  • Lack of solution evolution prior to implementation in the product.
  • Insufficient documentation resulting in heavy dependency on existing vendors.
  • Security Compliance issues with cloud deployments.
  • Escalating cloud costs.
challenges

Solutions

  • Enhanced application monitoring using Datadog for comprehensive performance insights, coupled with Sentry for proactive error monitoring.
  • Integrated robust security practices throughout the development lifecycle, leveraging Snyk for thorough code, library, and image scanning.
  • Implemented rigorous evaluation processes for each product component pre-implementation to ensure optimal solutions.
  • Utilized GitHub Wiki for detailed product documentation and leveraged readme.io for clear and accessible API documentation.
  • Developed comprehensive technical solution documentation for each major feature implementation to ensure clarity and maintainability.
  • Continuously optimized environment management with a dedicated DevSecOps team to ensure ongoing security and efficiency enhancements.
  • Deployed Azure Cost Saving techniques effectively to streamline cloud expenditures and optimize operational costs.
solution

Benefits

  • Improved application and performance visibility, utilizing efficient tools to pinpoint errors and expedite resolutions.
  • Decreased reliance on vendors, emphasizing processes over individual contributions.
  • Mitigated cloud risks through robust security practices.
  • Cost savings achieved through optimized Azure Cloud usage.
  • Methodical design phase to preempt scalability challenges post-development
benefit

CONCLUSION

With Enterprise Architecture Services, a leading data company transforms their development process into a smarter, more robust, and security-aware operation. By enhancing efficiency in design, reducing vendor dependency, and optimizing cloud costs, they’re pioneering a new era of streamlined innovation

conclusion