qTest
Software testing must be centrally managed and visible from conception to production in order to make software releases more secure and faster. Tricentis qTest enables teams to collaborate and ship faster, with less risk, by unifying, managing, and scaling testing across the enterprise. Robust testing includes a variety of testing tools, teams, test types, and testing methods. Tricentis qTest combines them all so that teams can release more confidently and reduce risk. It also helps identify opportunities to move faster - collectively. Automate more testing, increase the release velocity, and bring together teams throughout the software development process. Native DevOps integrations such as Jira, Jenkins and GitHub keep QA and development in sync. With a full audit trail, trace defects and tests back to development and requirements. Align teams with cross-project reporting.
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TraceEngine
The world's leading authority on case management systems has developed a software dedicated to skip tracing. TraceEngine will make skip tracing faster, easier, and more efficient. It is powered by PoloniousEngine, and benefits from the 20 years of experience with world-class investigation and system delivery software. Cloud-based hosting and security is taken care of and you can be up and running within 10 minutes. Your first 30 days are free. You can get our ongoing support at $165 per month. There are no contracts and you can cancel any time. TraceEngine has powerful features designed specifically for skip tracing, allowing you to manage more cases and generate additional business. You can easily assign cases to investigators using a simple search and select tool. If the details are not in the system, a widget will appear to allow you to add them.
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Estimote
Wearable technology enhances workplace safety by using a contact tracing dashboard that alerts all team members who may have been exposed, thereby safeguarding the workforce as a whole. Employees utilize compact, wireless devices that not only remind them to maintain a safe distance but also track instances of direct contact. If an employee displays symptoms, companies can swiftly identify other at-risk individuals. These devices are equipped with features such as a wireless charging capability, programmable panic buttons, buzzers, and vibration alerts. Interaction data is collected anonymously, with lists of exposed individuals created only after symptoms are reported, allowing for immediate health status updates that facilitate prompt escalation and quarantine actions. Furthermore, the anonymized information aids in evaluating the effectiveness of social distancing practices at work. To ensure privacy, co-worker interactions are securely stored in a containerized environment within an existing data center. The user-friendly, self-contained wearable devices are easily distributable and function seamlessly for all employees, enhancing overall health monitoring efforts. This innovative approach not only promotes safety but also fosters a culture of accountability and health awareness among team members.
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Google Cloud Trace
Cloud Trace serves as a comprehensive distributed tracing system that gathers latency metrics from applications and presents this data within the Google Cloud Console. This tool enables users to monitor the flow of requests throughout their applications while providing near real-time insights into performance. It automatically evaluates all traces from the application to produce detailed latency reports, helping to identify any performance issues. Additionally, Cloud Trace is capable of capturing traces from various environments, including VMs, containers, and App Engine projects. With Cloud Trace, users can delve into specific latency details for individual requests or review the cumulative latency across the entire application. The platform offers a range of tools and filters to facilitate the swift detection of bottlenecks and their underlying causes. This system is built upon the same principles that Google employs to ensure its services operate seamlessly at a massive scale, reflecting a robust and reliable solution for performance monitoring. As such, it becomes an essential resource for developers aiming to optimize their applications effectively.
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