Optimizing IT/IoT Performance & Risk Mitigation

The agent is connected to Artificial Intelligence platform and will investigate the cause and provide a solution

Resolving delays and other performance issues by solving the root cause, not just symptoms

Preventing issues to happen in the future

Unique parameter optimization service

Very fast results and service

A) Performance improving using Parameter Optimization

The expertise concerning parameter optimization takes center stage. Many organizations attempt to solve performance problems using extra hardware. An expensive and often unnecessary option. In more than 80% of cases performance problems are caused by misconfigured parameters. These are often left on their default values as set during the installation. After some time of intensive operational usage and maintenance, including updates and changes, these default values will no longer be sufficient. Even worse, they will often be the direct cause of serious performance problems in either own applications or linked applications.

In case of a calamity a specialist could be sent to search for the cause. But this could easily become a time consuming and expensive approach. We offer a very fast and efficient solution.

B) Parameter Optimization through Artificial Intelligence

It is exactly in this enormous complexity where this service makes the difference. The Parameter Optimization provides a fast and complete analysis of ten thousands of parameter combinations. The service uses an own Artificial Intelligence system to analyze the relations between parameters. Using this analysis they are able to quickly find concrete solutions (usually within a matter of days). This combination of knowledge, experience and technology in the field of IT parameters management is unique in the world( patent pending). They continues to focus and innovate in this knowledge.

C) Integral Service Offering

This service is unique and therefore incomparable to common application and network monitoring tools. They examine the entire IT landscape, from infrastructure, network and operating systems to cloud services, applications and databases. The services take into account all 7 layers of the OSI-model. Even business critical environments find their `Performance Improvement as a Solution’ to be the right solution.

With a monthly subscription model they will monitor your IT environment remotely and preventively. Using this we can provide advice to prevent delays and downtime up to 90 days ahead. The service is available worldwide to all customers using the cloud and can be quickly deployed. On request they can also provide an on-premise service.

By installing an agent on the server(s) where JDE is running, the performance data will be analyzed directly after activation. Installation will take less than 1 minute per server.

The Artificial Intelligence system in detail

First the AI system collects the parameter values of all IT components, including everything from applications, operations systems and databases to networks, web servers, routers and switches. At the same time the actual end-to-end performance of the system is analyzed for various use cases. The performance is then compared to baseline values for similar cases with comparable numbers of concurrent users, software, etc. as well as manufacturer benchmarks.

Once the system has identified points to improve, it then zooms in to the behavior of various components and application configurations (CPU, I/O, memory, applications, etc.) and compares these with the baseline. The dependencies between components are determined with the help of so-called `forward and backward rules’. Does the AI analysis determine that a parameter forms a bottleneck, it then analyses the related elements – such as CPU, paging, paging file location – as well as configuration values in ini files and the registry. It then generates an advice with the optimal parameter values.

And finally the system ensures that the configuration of KPI-related events and alarms are adapted to the actual workload instead of using average values. Doing this ensures that these are adapted to the operational situation and contain relevant information for the various specialists (such as database, network and security specialists). This provides a significant improvement to both stability and performance, resulting in a large decrease in helpdesk calls.