IoT solutions are gaining popularity as this technology gets more fast, sleek and cost-effective. It has captured almost all aspects of businesses and daily life in general. In such a popular technology, quality control is of utmost importance.
Enterprises have started to deploy Quality control solutions in the cloud by taking a proactive approach towards quality control. For example, algorithms like Quality Early Warning System (QEWS) are developed and incorporated into the IBM Prescriptive Quality on Cloud which helps manufacturers to discover problems earlier in supplier material along with problems arising in production processes.
Considering the huge amount of data being generated by applying IoT solutions to business processes, QC solutions prioritize the problems and generate alerts based on priority and those issues shall be addressed immediately that are critical. Hence 100% Quality control is not possible; however proactive approaches provide detailed perspective regarding product quality during manufacturing and are most beneficial to adopt.
Cloud Infrastructure as a Service is a fast-growing market and is expected to reach up to 25% of total Infrastructure outsourcing market by 2020. IaaS has promoted promoting digital operation in an innovative manner along with enabling digital business. This has contributed to the growing popularity of IaaS.
It has been seen that, IaaS providers continue to offer legacy services which include simple servers, network resources and storage space, hence a simple infrastructure. These services will not be sufficient for the upcoming demands of digital business. In order to promote customers digital journey demands, Infrastructure providers need to offer digital infrastructure platform which offers a range of higher level services exposed via APIs, hence introducing a platform which customers can utilize for development of apps and services that provide value to business initiatives.
Hence provision of resources needs to be shifted from simple (storage, server, and network) to complex (Infrastructure resources) to find growth opportunities for both customers and Infrastructure providers.
Public preview of SharePoint 2019 is here and in no time, the official release will hit the market. Here are a few steps to get your started with it:
- Get SharePoint Server 2019 prerequisites installed either manually or by Prerequisite Installer. These include: Web Server (IIS) Role, Microsoft SQL Server 2016 or Microsoft SQL Server 2017, Microsoft Sync Framework Run-time v1.0 SP1 (x64) and a few more components.
- Install SharePoint Server 2019, enter the product key and start configuration wizard
- Make sure that user account is the Setup User account
- Launch Farm configuration wizard
- Select the services you need to get and proceed with the wizard.
- Configure farm page and Finish the wizard.
You can also upgrade from SharePoint 2016 for which you shall use database attach upgrade. In such a case, you need to upgrade to content only and not the settings.
The concept of “born-in-the-cloud” is seldom confused with “cloud-enabled” or “cloud-native”. However, there is a significant deference between these terms.
A solution that was “born in the cloud” means a solution that is exclusively meant to be delivered by the cloud and does not involve any legacy systems. The solutions that are cloud-enabled are the solutions that were originally designed for a traditional datacenter and then eventually plunked into the cloud. this is originally a legacy product. They are single-tenant and difficult to scale.
In case of cloud native systems, they are built form ground up approach using micro-services. They are multi-tenant and are easily scalable. Hence the concepts of “born-in-the-cloud” and “cloud-native” are close enough but have a huge difference with “cloud-enabled” solution.
Companies prefer to adopt cloud-native solutions. With cloud-native solutions, there is no hassle of the Infrastructure upon it is delivered and built. Many vendors are now trying to offer cloud-enabled version of their products.
Enterprises need to know how to get info out of big data. A successful business is the one that can manage and analyze big amount of data – we are talking about data that is in petabytes!
More often, companies have got big data, collected and stored in the data center, but have little knowledge of what to do with the data. It is recommended that every company must have a data plan even before the data is consolidated in the storage i.e. the cloud. They must also have a set of tools ready to be used within their systems in order to get business value out of the stored data. Some more steps that can be taken are: understand meta data, know which data to keep and turn it into business value, consider a performance plan. The bottom line is: Only make necessary investments in data.