A partnership for accelerating container workloads
24 Jan, 2018
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Software, digitization, AI and big data are taking the cargo, logistics and supply chain spaces by storm. It becomes even more evident when industry giants like Hewlett-Packard Enterprise Co. partner with companies such as Portworx Inc, a software container company with the purpose of deploying and scaling containerized workloads faster.
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With on-demand applications on the rise, cloud-native and container-based frameworks that can scale to meet growing performance requirements are becoming more and more prevalent within the industry. This software containers are used by developers to build applications that can run on any platform, regardless of their hardware or software which now combined with HPE’s Synergy platform that features computing, storage and networking into a “composable” unit will allow a transition from “stateless” containers where data is destroyed when each instance is shut down, to “stateful” containers that can retain this data and are therefore better suited to production.
This new setting will use Portworx’s storage platform alongside Kubernetes as the container orchestration tool and can be adapted for any storage container operation, which will greatly benefit companies running enterprise container workload operations at scale.
Being part of the cargo industry nowadays demands a great deal of intelligence and adaptability, especially when it comes to implement new technologies and adopt new methodologies and ways to operate. Digitization, big data, machine learning and AI are disruptors that have arrived and won’t be going anywhere; and the key for growth and scalability is implementing and adopting these new technologies to make operations more efficient and improve the supply chain in order to better fulfill consumer demands, which leads to more profitability.
The challenges in the logistics industry grow with each day, but so does the opportunity to implement revolutionary solutions that can be leveraged by big and small businesses alike.
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