02
‍Software
Development

Relying on Siemens XHQ has been the default for data integration especially in the Oil and Gas industry for more than 20 years.

Our team’s focus was stability and simplicity so that we could continue to serve our customers whilst continuously exploring new territories. Our values proved to be as strong as ever and remained a guiding light for our journey. Responsibility, transparency and passion for empowering others remained the focal point of our company’s philosophy. Because of this, the transition was seamless and came naturally.

The solution is scalable from single facility to multiple site enterprise wide solutions, while the partnership between Siemens and Kantech will ensure that we can deliver a fit-for-purpose sustainable solution for your enterprise, applying industry best practices and lowering the implementation risk.

Kantech has end to end XHQ capabilities, covering development, support, deployment or training.

Siemens XHQ solutions provide a common tool to business managers as well as plant personnel in a manufacturing facility to monitor business and operational performance in real time and close the loop on deviations from set targets while capturing the knowledge for continuous improvement. The solution is based on a set of dashboards that standardizes the performance metrics across organization and integrates with the business processes to keep the metrics in the green. The solution acts as the “one stop shop” of certified critical information for decision making at every level in the organization.

Kantech is a Value-added Reseller for SEEQ® for Advanced Analytics for Process Manufacturing Data. We are license resellers and cover development, support, deployment or training.
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Kantech has OSIsoft PI capabilities and provides services covering development and support of your PI solutions, but also on-demand development of software solutions on top of your PI data infrastructure.

Our team has hands-on experience from working in the Software Development field while solving different problems: from applications on top of Siemens XHQ and Osisoft PI to customized solutions, automation and applications created listening to the voice of the customer.

As each programming language is designed to solve a specific set of problems, we have used C# and Angular for enterprise applications with many concurrent users, Java for plain XML conversion tools and integrating with Siemens XHQ, Python for dealing with analytics and automation, JavaScript for functionality on top of existing software and designing components in Osisoft PI.

Cloud Technologies are at the center of Digital Transformation as they are not just mere implementation and delivery platforms, they enable companies to be more agile and thrive in their digital transformation journey.

With easy access to data and new ways to view, analyze and automate information flow, the cloud has created powerful new capabilities for businesses to scale on-demand anywhere in the world.

Cloud Engineering/Architecture

• Define a solution using architectural design principles based on customer requirements;

• Provide implementation guidance based on best practices to an organization throughout the lifecycle of a project;

• Design and deploy dynamically scalable, highly available, fault-tolerant, and reliable applications on AWS/Azure;

• Select appropriate AWS/Azure services to design and deploy an application based on given requirements;

• Migrate complex, multi-tier applications on AWS/Azure;

• Design and deploy enterprise-wide scalable operations on AWS/Azure;

• Implement cost-control strategies.

DevOps/SysOps

• Deploy, manage, and operate scalable, highly available, and fault tolerant systems on AWS/Azure;

• Implement and control the flow of data to and from AWS/Azure;

• Select the appropriate AWS/Azure service based on compute, data, or security requirements;

• Identify appropriate use of AWS/Azure operational best practices;

• Estimate AWS/Azure usage costs and identify operational cost control mechanisms;

• Migrate on-premises workloads to AWS/Azure;