Posted by Dominic Todd, Marketing Communications Specialist,
Stratus Technologies, Jul 22, 2019
Advanced computing supports innovation and new ways of doing
commercial. With the ability to collect and analyze information in real time, governments
can thrive on data-driven decision making. As the number of features grow and
the adoption of edge computing, more organizations are looking for ways to
integrate edge computing with their existing architectures. To succeed in the
periphery, this integration must be done carefully.
Get started on your Edge addition journey by next these
five steps:
Step one: virtualization and modernization
Virtualization is a key factor in modernizing your current
infrastructure. The technology built into virtualization allows multiple
operations to be performed simultaneously on the same hardware. Modernizing
your infrastructure with virtualized machines will bring tremendous benefits in
terms of reliability, manageability, and creating a robust, future-ready
platform for your advanced integration.
Step two: convergence of OT / IT
Bridging the OT and IT silos will lead to greater
productivity, productivity, agility and cost-effectiveness. To manage this
organizational alteration, many companies are hiring new types of talent.
Called Hybrid OT or Industrial IT, these technologists have experience and
knowledge of OT applications. However, they also understand the language of IT,
have an IT skill set and serve as a bridge between the two specialties.
Step three: choose an edge integration solution
The total cost of ownership, deployment, management, risk of
downtime, and operational efficiency are all key factors when choosing an
advanced computing solution. Also consider where the platform will be
installed. Will the platform work in a more sustainable environment like a
factory floor? Or perhaps a cleaner and more organized environment like a
control room? How close will the computation be to the physical location where
the data is collected and analyzed?
For all cases, some general requirements for an edge
integration solution include:
self-control
self-protected
Built-in redundancy
predictive analytics
Step four: IIoT integration
Industrial Internet of Things (IIoT) devices improve
manufacturing and manufacturing processes by using smart sensors to collect and
analyze data in real time. The data captured by smart sensors allows industrial
devices to generate business ideas and take specific actions with minimal human
intervention. This helps to optimize process quality, employee engagement and increase
uptime.
Step five: reliable security The proliferation of
smart devices in high-end computing architectures has been accompanied by an
increase in security vulnerabilities. Security risks include software
vulnerabilities and system tampering that could lead to potential breaches of
customer data and / or termination of operations. Invest in cybersecurity and
choose IIoT systems that provide regular monitoring and detection in the event
of malware infection.
