
Statseeker is a powerful network performance monitor solution. It's fast, scalable, and cost-effective.
Statseeker requires only one server or virtual machine to be up and running in minutes. It can also discover your entire network in under an hour without any significant impact on your bandwidth availability.
It can monitor networks of all sizes, polling upto one million interfaces every sixty second, and collecting network data like SNMP, ping, NetFlow (sFlow, and J-Flow), sylog and trap messages, SDN configuration, and health metrics.
Statseeker performance data are never averaged or rolled up. This eliminates the guesswork when it comes to identifying over- and underestimated infrastructure, root cause analysis, capacity planning, and other tasks.
Statseeker's complete data retention means the in-built analytic engine can accurately detect anomalies in performance and forecast network behaviour months in advance. This allows network admins to plan and perform cost-effective, preventative maintenance, instead of fire-fighting problems as they occur.
Statseeker's dashboards and out-of-the box reports allow you to troubleshoot and fix problems in your network before users are aware.
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The SBS QMS Suite consists of 5 software modules that work together for efficient Quality compliance:
1) SBS Quality Database
- CAPA / 8D corrective and preventive actions (CAR) with root cause analysis
- Nonconformance management
- Risk analysis including FMEA, SWOT, interested party risk register
- Internal, customer, and third-party audit management
- Environmental Health and Safety (EHS / HSE) management
2) SBS Ground Control
- Employee training management (LMS)
- Self-Paced training
- Change control
- Document control
3) SBS Asset Tracking Database
- Calibrated equipment control
- Preventive maintenance
- Asset inventory management
4) SBS Inspection Database
- Record incoming material, in process, and final product inspection data
- Generate real time SPC charts
- Inspection plans and Control Plans
- Archive data for further statistical analysis
5) SBS Vendor Management
- Maintain an approved vendor list or AVL
- Develop vendor / supplier qualification plans
- Maintain vendor / supplier qualification history
Modules may be purchased separately or in any combination.
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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NeoLoad
Software for continuous performance testing to automate API load and application testing. For complex applications, you can design code-free performance tests. Script performance tests in automated pipelines for API test. You can design, maintain, and run performance tests in code. Then analyze the results within continuous integration pipelines with pre-packaged plugins for CI/CD tools or the NeoLoad API. You can quickly create test scripts for large, complex applications with a graphical user interface. This allows you to skip the tedious task of manually coding new or updated tests. SLAs can be defined based on the built-in monitoring metrics. To determine the app's performance, put pressure on it and compare SLAs with server-level statistics. Automate pass/fail triggers using SLAs. Contributes to root cause analysis. Automatic test script updates make it easier to update test scripts. For easy maintenance, update only the affected part of the test and re-use any remaining.
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Sensai
Sensai offers a cutting-edge AI-driven platform for detecting anomalies, performing root cause analysis, and forecasting issues, which allows for immediate problem resolution. The Sensai AI solution greatly enhances system uptime and accelerates the identification of root causes. By equipping IT leaders with the tools to effectively manage service level agreements (SLAs), it boosts both performance and profitability. Additionally, it automates and simplifies the processes of anomaly detection, prediction, root cause analysis, and resolution. With its comprehensive perspective and integrated analytics, Sensai seamlessly connects with third-party tools. Users benefit from pre-trained algorithms and models available from the outset, ensuring a swift and efficient implementation. This holistic approach helps organizations maintain operational efficiency while proactively addressing potential disruptions.
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