The SBS QMS Suite is composed of five interrelated software modules designed to enhance Quality compliance efficiency.
1) The SBS Quality Database includes tools for managing CAPA and 8D corrective actions, overseeing nonconformance issues, conducting risk analyses such as FMEA and SWOT, handling various audit management needs, and ensuring Environmental Health and Safety (EHS/HSE) compliance.
2) SBS Ground Control focuses on managing employee training through a Learning Management System (LMS), offering self-paced training options, and providing document control features.
3) SBS Asset Tracking Database oversees calibrated equipment, preventive maintenance schedules, and comprehensive asset inventory management.
4) The SBS Inspection Database captures and records inspection data for incoming materials, in-process checks, and final product assessments, allowing for the generation of real-time SPC charts, development of inspection and control plans, and archiving data for future statistical evaluations.
5) The SBS Vendor Management maintains an approved vendor list (AVL), formulates vendor qualification plans, and tracks the qualification history of suppliers.
Each of these modules may be purchased individually or in any combination to meet your needs.
On-premise and cloud-based options are available.
Free demos are available for download or contact us for a cloud-based demo.
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Statseeker stands out as a robust network performance monitoring solution, designed to be both rapid and scalable while also being budget-friendly.
With the capability to set up on a single server or virtual machine in mere minutes, Statseeker can map out your entire network in less than an hour, all without significantly affecting your bandwidth availability.
It supports monitoring for networks of various sizes, polling up to a million interfaces every minute and gathering an array of network data types, including SNMP, ping, NetFlow (along with sFlow and J-Flow), syslog, trap messages, SDN configurations, and health metrics.
What sets Statseeker apart is its approach to performance data, which are never averaged or rolled up, thereby removing uncertainty in tasks such as root cause analysis, capacity planning, and identifying over- or under-utilized infrastructure.
The solution's comprehensive data retention allows its built-in analytical engine to accurately recognize performance anomalies and predict network behaviors well in advance, empowering network administrators to engage in proactive maintenance rather than merely addressing issues as they arise.
Furthermore, Statseeker provides intuitive dashboards and ready-to-use reports, enabling users to identify and resolve network issues before they impact end users, ensuring a smoother and more reliable network experience overall.
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Sematext Cloud
Sematext Cloud offers comprehensive observability tools tailored for contemporary software-driven enterprises, delivering crucial insights into the performance of both the front-end and back-end systems.
With features such as infrastructure monitoring, synthetic testing, transaction analysis, log management, and both real user and synthetic monitoring, Sematext ensures businesses have a complete view of their systems. This platform enables organizations to swiftly identify and address significant performance challenges, all accessible through a unified cloud solution or an on-premise setup, enhancing overall operational efficiency.
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NeoLoad
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.
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