The increasing adoption of cloud-native architecture is driving a paradigm shift in software development. This transition presents unique challenges for quality engineering (QE), especially when ensuring compliance with a myriad of regulations and industry standards. Serverless computing offers a promising solution to these challenges by providing a scalable, cost-effective, and agile approach to cloud quality engineering.
Key Challenges in Cloud QE
Compliance and custom-build validation in the cloud is a complex task that requires rigorous assessment of services against regulatory standards. Traditional approaches are unable to keep pace with the rapid evolution of cloud technologies and the ever-changing regulatory landscape.
Serverless Computing: A Gamechanger for Cloud QE
Serverless computing is a cloud computing execution model in which the cloud service provider allocates machine resources on demand and manages servers on behalf of their customers. Despite the term ‘serverless’, cloud providers still use servers to execute developer code. Serverless computing abstracts the underlying infrastructure, enabling developers to focus solely on writing code and deploying functions.
Serverless computing can significantly streamline cloud quality engineering by:
- Eliminating infrastructure management: Serverless platforms handle the underlying infrastructure, allowing teams to focus on building and testing applications.
- Automating compliance checks: Serverless functions can be triggered to automate routine compliance checks, thereby reducing manual effort and improving accuracy.
- Enhancing scalability: Serverless architectures can scale automatically to accommodate varying workloads, ensuring optimal performance and reliability.
- Optimizing costs: Serverless providers charge based on consumption, reducing the costs associated with idle infrastructure.
Infosys Cloud QE Approach – Powered by Azure Serverless Computing
Infosys leverages serverless technologies to deliver robust cloud quality engineering for organizations. Our approach involves:
- Trigger: The scheduler initiates the runbook at defined intervals.
- Automation account runbook: Runbook leverages Azure modules and PowerShell to validate Azure resources for compliance and custom checks as defined in the runbook. It also generates reports in comma separated value (CSV) format.
- Azure storage blob container: Automation account runbook then uploads the generated CSV report to the storage blob container.
- Azure event subscription: Event subscription triggers the Azure logic application as soon as file is uploaded to the blob container.
- Azure logic application: The Azure logic application fetches the uploaded CSV report from the storage blob container and sends it to the relevant users through email.
Benefits of Infosys Cloud QE Approach
Infosys’ cloud QE approach is one of the most comprehensive frameworks for serverless cloud computing. It offers the following benefits:
- Enhanced automation: Streamlines automation test engineering, thereby accelerating scripting and execution
- Comprehensive coverage: Supports various cloud components including network watcher, virtual machines (VMs), storage accounts, and network security groups (NSG)
- Improved efficiency: Reduces time to market by accelerating deployment processes
- Scalability: Adapts to different cloud environments and scales according to project needs
- Robust security: Incorporates security measures within the framework, ensuring safe and secure operations
Conclusion
Infosys cloud QE covers end-to-end cloud migration for various patterns. Serverless cloud computing assurance is one of the key components of light, serverless platforms. It empowers organizations to achieve a higher level of cloud quality engineering by automating compliance checks, improving scalability, optimizing costs, and simplifying the overall process. By adopting serverless architectures and robust QE practices, organizations can accelerate their digital transformation journey while ensuring the security, reliability, and compliance of their cloud-based applications. With serverless architecture, businesses can focus on developing high-quality applications without the burden of infrastructure management. Quality engineering practices can be seamlessly integrated into the serverless development lifecycle, ensuring robust code quality, reliable performance, and adherence to industry standards.
