IoT Hardware / Communication Bus
WorkSys is a leader in edge computing
At WorkSys technologies, we’re empowering our global partners and customers to turn data into actionable insights where it matters most – at the edge.
For last years, we’ve protected partners and customers from significant financial and reputational risk by securely and reliably delivering information to applications in the cloud and the data centre. Now, we are extending these benefits to the Edge
- to maximise operational efficiency
- improve performance and safety
- while minimising unplanned downtime and cost.
The newest WorkSys solution, Edge, was specifically designed for the edge. WorkSys Edge is a secure, rugged, highly automated computing platform that delivers business-critical industrial applications quickly, reliably and efficiently, even in decentralised, understaffed locations. Features such as built-in virtualisation, automated restart and data protection, automated local site recovery, simplified security, redundant solid state nodes, customisable availability, industrial syntactic (in future structural or later even seemantic) interoperability, OT maintainability, and cloud-based system health monitoring and managed support services, help companies increase efficiency and reduce IT dependence, while minimising downtime risk.
Hybrid Cloud and the Edge
WorkSys IIoT platform is using a hybrid cloud architecture, then you’re familiar with the benefits of partitioning data between public and private clouds. Edge computing can be a great addition to this existing network. There are different configurations, and all work well, depending on your business goals and usage. For example, the edge can take the place of the private cloud, taking the primary computing role, or you can pair the edge with an existing hybrid cloud with both public and private clouds.
What are the benefits and challenges of edge computing?
One of the top benefits of implementing edge computing is the ability to collect and analyse data where it is collected, catching and correcting problems that might not be identified as quickly if the data were to be sent to a central server or cloud for processing and analysis. Keeping data on site also reduces the security risk associated with porting data, which can be important in financial organisations, for example. It also reduces bandwidth costs by processing some data on site, rather than sending all data to a cloud or central server. Successful edge computing requires a thoughtful architecture and implementation, which can be a challenge without the right expertise. Having multitudes of sites collecting and analysing data can mean more sites that need to be configured and monitored, adding complexity. Having too few can mean critical data is missed. Decentralised locations can also mean fewer technical personnel on site, meaning non-technical operations staff may be called in to troubleshoot. These challenges can be addressed by working with knowledgeable system integrators and using the right edge technology.