Digital.ai Release Reviews

Software designed for ongoing performance testing facilitates the automation of API load and application evaluations. In the case of intricate applications, users can create performance tests without needing to write code. Automated pipelines can be utilized to script these performance tests specifically for APIs. Users have the ability to design, manage, and execute performance tests using coding practices. Afterward, the results can be assessed within continuous integration pipelines, leveraging pre-packaged plugins for CI/CD tools or through the NeoLoad API. The graphical user interface enables quick creation of test scripts tailored for large, complex applications, effectively eliminating the time-consuming process of manually coding new or revised tests. Service Level Agreements (SLAs) can be established based on built-in monitoring metrics, enabling users to apply stress to the application and align SLAs with server-level statistics for performance comparison. Furthermore, the automation of pass/fail triggers utilizing SLAs aids in identifying issues effectively and contributes to root cause analysis. With automatic updates for test scripts, maintaining these scripts becomes much simpler, allowing users to update only the impacted sections while reusing the remaining parts. This streamlined approach not only enhances efficiency but also ensures that tests remain relevant and effective over time.

Effective software testing requires centralized management and visibility from the initial concept to the final production phase to enhance both the speed and security of software releases. Tricentis qTest empowers teams to collaborate more efficiently and accelerate delivery while minimizing risks by integrating, overseeing, and scaling testing efforts across the organization. Comprehensive testing encompasses a wide array of tools, teams, test types, and methodologies. By unifying these aspects, Tricentis qTest allows teams to release software with greater assurance and lower risk. Furthermore, it assists in pinpointing collective opportunities for speeding up processes. Teams can automate additional testing, boost release velocity, and enhance collaboration throughout the software development lifecycle. With seamless integrations into DevOps tools like Jira, Jenkins, and GitHub, quality assurance and development teams can remain aligned and coordinated. Additionally, maintaining a thorough audit trail enables tracing of defects and tests back to their development and requirements, ensuring clarity and accountability. Cross-project reporting facilitates alignment among teams, fostering a more cohesive approach to software development and delivery.

Plutora is a comprehensive software delivery management platform that accelerates the delivery of value across your organization. Acting as a centralized hub, it oversees software delivery teams, processes, and tools without being tied to any particular methodology, automation, or vendor, making it versatile and adaptable. This solution systematically improves your digital transformation initiatives by promoting the scaling of Agile and DevOps practices throughout the entire organization. It empowers users to visualize and map their value streams efficiently by utilizing data from critical systems to generate important metrics such as cycle time, lead time, and process time. By managing initiatives and changes within the portfolio, users can effectively organize dependencies associated with releases. In addition, Plutora provides the capability to plan, manage, and synchronize releases alongside their respective IT resources, ensuring seamless operations. It also facilitates scheduling and orchestrating pre-production environments for any delivery pipeline, which is vital for successful deployments. Moreover, users can effortlessly plan, track, and manage the execution of production cut-over activities, ensuring a smooth transition during releases. With Plutora, organizations can maintain a focus on continuous improvement, or "Kaizen," at every stage of the delivery process. The platform also enhances operational efficiency by enabling the integration of key systems and transforming data through multiple methods, ultimately driving better collaboration and performance. This holistic approach to software delivery management ensures that teams can respond swiftly to changing business needs and deliver high-quality software consistently.