AI/IT and Cloud Performance

• IT Performance and Business impact: For businesses impacted by performance issues, it provides a solution that reduces the number of required monitor agents, optimizes performance, and reduces costs. The AI layer includes automation and offers in-depth Root Cause Analysis to help resolve incidents in full stack and hybrid networks quickly.
• Sustainability and IT: For customers experiencing problems in sustainability, the solution provides a strategic roadmap to build sustainable goals and optimize assets and facilities. The module also embraces green IT and builds a sustainable supply chain to meet ESG standards.
• Financial savings on Hybrid, Cloud, AWS, Azure, IBM Cloud: For customers facing financial challenges after moving to the cloud, it offers a solution integrated with Turbonomic  to help reduce cloud costs, IT labour cost on Cloud and Virtual systems, optimize resource utilization, and improve performance.

How it works

AI_Performance:

SaaS based AI-powered monitoring tools that discovers and maps all services, automates solutions, and provides clear problem indication, resulting in cost reduction and faster ROI in the complete stacks, hybrid network (MPLD/SD-WAN, home branch offices) end users/points. This is an introduction to a software solution that optimizes the performance and mitigates risk for enterprise IT and IoT operations, including JD Edwards, PeopleSoft, Oracle, and other ISV solutions. The software offers a unique SaaS optimization and prevention service that resolves delays and performance issues in JDE and prevents them from occurring in the future. The installation process takes only one minute per server, and performance data is analyzed immediately. The advice is provided via email, webinar, telephone, Skype or other preferred communication channels.

The benefits of this solution include resolving delays and other performance issues by identifying and solving the root cause, not just the symptoms. The software uses an AI platform to investigate the cause and provide advice on the solution. It also prevents issues from happening in the future, saving enormous damage costs. The unique parameter optimization service provides fast results and service, and there is no need for expensive consultants for days, weeks, or even months.

The key features of this solution include a SaaS model that allows for a pay-per-month server, an AI platform that investigates the cause and provides a solution, and root cause analysis that solves performance issues at their source. The software also offers a unique parameter optimization service and fast results and service.

The solution addresses the common challenge of delays and performance issues that can cause damage to a company. The software provides a team of highly qualified experts who use their Performance Improvement as a Service to solve and prevent performance problems worldwide. They have a unique approach to parameter management and offer a comprehensive service that examines the entire IT landscape.

The software integrates with JD Edwards by installing an agent on the server(s) where JDE is running. The AI system collects the parameter values of all IT components and compares them to baseline values for similar cases with comparable numbers of concurrent users, software, etc. The system identifies points to improve and generates advice with optimal parameter values. The configuration of KPI-related events and alarms is adapted to the actual workload, resulting in a large decrease in helpdesk calls. It uses difference vendor tool sets integrated with the AI engine.

AI_Sustainability:

SaaS based Solution for sustainability in IT with modules for roadmap development, goal setting, asset and facility optimization, green IT adoption, and sustainable supply chain management. The solutios uses IBM Turbonimics for the core of this solution integrated with the AI engine.

AI_Finance:

SaaS based Solution to dynamically allocate cloud resources for optimal performance and cost reduction, with minimal input needed from the user. This solution use IBM Turbonimics for the core of this solution integrated with the system’s AI.

JD Edward Integration

The AI solutions are fully compatible and can seamlessly integrate with JDEdwards and its interface systems, which is often a subcomponent in your the larger IT environment of your company. Other systems in your network can sometimes affect the performance of JDEdwards, especially if end-users are accessing it over complex hybrid networks from various locations such as home, branch offices, MPLS networks, and SD-WAN networks. In such a complex multi-vendor and multi-responsibility environment, it can be difficult to pinpoint the root cause of performance issues. As a result, its often-unclear which vendor is responsible for resolving the issue and how much it will cost to resolve slow transactions and batches in a timely manner. The AI solutions like Kadiska and IBM can help find the root-cause and address the right vendor and pinpoint the required solution.

How the AI solution integrates with JD Edwards 

Installing an AI agent on the JDE server(s) will enable direct analysis of performance data immediately after activation. This installation process takes less than a minute per server.

Our AI system collects parameter values of all IT components, such as applications, databases, networks, web servers, routers, and switches, and analyses the end-to-end performance of the system for various use cases. By comparing the performance to baseline values and manufacturer benchmarks, it can identify areas for improvement.

Once it identified these areas, it zooms in on the behaviour of various components and application configurations and compare them with baselines. It determines the dependencies between components using “forward and backward rules”. If it identifies a bottleneck parameter, it analyses the related elements and generate advice on optimal parameter values.

Finally, the AI system ensures that the configuration of KPI-related events and alarms is tailored to the actual workload instead of using average values. This improves stability and performance, resulting in a significant decrease in helpdesk calls. This will provide valuable information to various specialists, such as database, network, and security specialists, leading to better operational outcomes.

AI_Sustainability and the Cost modules are agentless, they are directly integrated (secure API) with the AI engine and Customer virtual server platforms running on VMware, Cloud , AWS, Azure and or IBM cloud etc.