In an increasingly digital world, businesses need to continually upgrade their processes to ensure a fast and efficient service. Many companies did this by migrating to the cloud, providing more computational and data agility. However, this cloud computing model is far from perfect. Operating heavy software applications is still more efficient when they're hosted locally or on-premises. But how can businesses achieve this level of efficiency? Enter, composable data.
Composable data and infrastructures?
Composable data and infrastructures entail the ability to store and disseminate different resources to remote machines or devices. This means sets of information or software applications are only provided when requested by the end-user. Composable infrastructure is one of the many options for organizing IT infrastructures. Other infrastructures include hyper-converged infrastructure (HPI), disaggregated HCI (dHCI), and traditional infrastructures. Among the IT infrastructure solutions named, composable infrastructure is the most advanced. It has the most potential for scaling, provides robust resource management options, and has a high potential for automation. Thus, it's been growing in popularity in the marketplace.
Composable data and infrastructures are an excellent choice for expediting business processes as it circumvents the familiar problem of overprovision. Processing hardware is bogged down when its storage houses too much data. So, by moving that data to another storage system and only providing it when needed greatly improves the speed of operation. Additionally, composable infrastructure can be built and facilitated by low-code or no-code tools, meaning they'll be easily accessible to the entire workforce, not just data experts.
Finding the right fabric A key part of a composable system is the way the component parts interconnect so they can be used together. With Synergy and PowerEdge MX, this is provided by a switched SAS fabric linking the compute and storage sleds. DriveScale, another composable infrastructure firm, uses an Ethernet fabric.
However, if you want to compose more than just storage, you need a connectivity fabric with greater flexibility. One option is PCI-Express (PCIe), which was created as a high-speed interface for connecting devices directly to the processor, but has now been adapted as a means of connecting external hardware as well.
One company that is pushing this approach is Liqid, which bases its composable infrastructure platform around a PCIe switch. This enables hardware such as GPUs, FPGAs and storage to be fitted into separate enclosures in a datacentre rack and shared among several standard x86 servers. The PCIe switch serves as the control point to compose the required configurations.
Another company, GigaIO, has taken a similar approach, creating its own interconnect technology, FabreX, based on PCIe Gen 4. The bandwidth available through PCIe Gen 4 allows the firm to target HPC deployments with its platform.
This flexibility of composable infrastructure means it may be an attractive option for organisations seeking the best platform to support new and emerging workloads that incorporate approaches such as big data analytics and machine learning.
“In addition, use of high-cost components is driving the requirements for better utilisation of, and continuous optimisation of, bare-metal hardware resources, which is one of the unique benefits of composable infrastructure.”
IT operations analytics is a group of practices and processes to monitor systems in order to gather, process, analyze, and interpret data from IT operations to guide decisions and manage risks.
Hi @Evgeny Belenky
In an increasingly digital world, businesses need to continually upgrade their processes to ensure a fast and efficient service. Many companies did this by migrating to the cloud, providing more computational and data agility. However, this cloud computing model is far from perfect. Operating heavy software applications is still more efficient when they're hosted locally or on-premises. But how can businesses achieve this level of efficiency? Enter, composable data.
Composable data and infrastructures?
Composable data and infrastructures entail the ability to store and disseminate different resources to remote machines or devices. This means sets of information or software applications are only provided when requested by the end-user. Composable infrastructure is one of the many options for organizing IT infrastructures. Other infrastructures include hyper-converged infrastructure (HPI), disaggregated HCI (dHCI), and traditional infrastructures. Among the IT infrastructure solutions named, composable infrastructure is the most advanced. It has the most potential for scaling, provides robust resource management options, and has a high potential for automation. Thus, it's been growing in popularity in the marketplace.
Composable data and infrastructures are an excellent choice for expediting business processes as it circumvents the familiar problem of overprovision. Processing hardware is bogged down when its storage houses too much data. So, by moving that data to another storage system and only providing it when needed greatly improves the speed of operation. Additionally, composable infrastructure can be built and facilitated by low-code or no-code tools, meaning they'll be easily accessible to the entire workforce, not just data experts.
Finding the right fabric
A key part of a composable system is the way the component parts interconnect so they can be used together. With Synergy and PowerEdge MX, this is provided by a switched SAS fabric linking the compute and storage sleds. DriveScale, another composable infrastructure firm, uses an Ethernet fabric.
However, if you want to compose more than just storage, you need a connectivity fabric with greater flexibility. One option is PCI-Express (PCIe), which was created as a high-speed interface for connecting devices directly to the processor, but has now been adapted as a means of connecting external hardware as well.
One company that is pushing this approach is Liqid, which bases its composable infrastructure platform around a PCIe switch. This enables hardware such as GPUs, FPGAs and storage to be fitted into separate enclosures in a datacentre rack and shared among several standard x86 servers. The PCIe switch serves as the control point to compose the required configurations.
Another company, GigaIO, has taken a similar approach, creating its own interconnect technology, FabreX, based on PCIe Gen 4. The bandwidth available through PCIe Gen 4 allows the firm to target HPC deployments with its platform.
This flexibility of composable infrastructure means it may be an attractive option for organisations seeking the best platform to support new and emerging workloads that incorporate approaches such as big data analytics and machine learning.
“In addition, use of high-cost components is driving the requirements for better utilisation of, and continuous optimisation of, bare-metal hardware resources, which is one of the unique benefits of composable infrastructure.”
@Shibu Babuchandran, thank you!
I am not an expert in analytics.
From what I know, using data and analytics to encourage the owners of the business to use this information for their own strategy.