Abstract: The 2018 years passed can be said to be the most variable year in the storage industry, and the 2019 year is the closest year to the end of the decade. We have been saying that disruptive changes are taking place in the storage technology field.

The 2018 years passed can be said to be the most variable year in the storage industry, and the 2019 is the closest year to the end of the decade. We have been saying that disruptive changes are taking place in the storage technology field. But in fact, most subversive changes have not been able to withstand the test of time. But according to analyst firm MSys Technologies LLC, with the development of technologies such as artificial intelligence, robotics and the upcoming 5G network, most technologists will see the decade 2010-2020 as a period of change in the technology sector.   

Now, let’s take a look at the six technical predictions based on storage, cloud computing, DevOps, and digital transformation in 2019.   

Software Defined Storage (SDS)   

In 2019, SDS was driven by autonomous storage, object storage, and self-managed DRaaS and NVMe drivers, which seemed to be a promising future. But SDS also needs time to promote its development and popularity. The reasons are as follows:   

1. Automatically store its own impulse   

According to user needs, we will witness the development of self-healing storage in 2019. Intelligent algorithm-driven AI will play a key role. Companies will strive to ensure uninterrupted application performance throughout the day.   

2. Self-managed DRaaS (Disaster Disaster as a Service) will stand out   

Self-managed DRaaS reduces human interference and proactively recovers critical business data and replicates data in the cloud. It has brought buffers to various emergencies. In the end, the cost was also cut. So we will see the importance of DRaaS worldwide in 2019.   

3. The pointer to fate will return to the object storage as a service (STaaS)   

Object storage provides a cost-effective choice for storage, supporting scale-out and cloud compatibility. Each object is also assigned unique metadata and IDs in the store to speed up the data retrieval and recovery process. Therefore, in 2019, more companies are expected to adopt object storage to support their own big data needs.   

4.SDS promotes the adoption of NMVe   

In 2019, SDS will accelerate the adoption rate of NVMe. Because it eliminates the problems associated with traditional storage, it ensures smooth data migration when enterprises adopt NVMe. In the future, we will see vendors designing storage platforms that increase the NVMe protocol. In 2019, NMVe’s growth will be dominated by FC-NVME and NVMe-oF.   

Hyper-converged infrastructure (HCI)   

In 2019, HCI was still a trump card to create a centrally managed multi-tier infrastructure. We’ll see more companies deploying applications quickly with HCI around a policy- and data-centric architecture.   

Virtualization   

In 2019, the growth of virtualization will revolve around software-defined data centers and containers.   

Container   

Container technology is the killer of achieving cost-effective, operational simplicity and team productivity promises. According to IDC, 76% of users use containers for mission-critical applications. among them:   

Persistent storage will be a key issue   

In 2019, container users will build a cloud-ready persistent storage platform with flash arrays. They want their storage service providers to implement synchronous mirroring, CDP-CDP and automatic tiering.   

Kubernete application   

It is rumored that the upcoming Kubernete version contains a predefined configuration template. If it is true, Kubernete will be easier to deploy and use. This year, we are also expecting more Kubernete and container synchronization. But as Kubernete’s security issues rise, there will be a strict security protocol around Kubernete (which may involve multi-step verification or encryption of the cluster).   

2. Software Defined Data Center (SDDC)   

More and more enterprises will open a cloudy and hybrid cloud road, and will hope to seamlessly migrate existing applications to heterogeneous cloud environments. As a result, SDDC will make strategic adjustments to accommodate new cloud needs. In 2019, SDDC’s demand for DevOps was an improvement to COBIT and ITIL practices.   

DevOps   

In 2019, companies will implement a programmatic DevOps solution to accelerate the development and deployment of software products. According to the survey, DevOps supports 46x code deployment. It also increased the deployment lead time by 2,556 times. This year, AI/ML, Automation and FaaS (Function as a Service) will coordinate changes to DevOps.   

1.DevOps&AI / ML   

In 2019, AI/ML-centric applications will set off a boom. The data science team will use DevOps to unify complex operations throughout the application lifecycle. They also want automated workflow pipelines to be rebuilt, retested, and redeployed at the same time.   

2. DevOps will add value to feature as a service (FaaS)   FaaS is designed to implement a serverless architecture. It enables accessibility application development without affecting the enterprise’s handling of a single REST server. Very suitable for developers. So far, FaaS has not yet reached full maturity, although it is scalable, but if the selected user case error results will only be burned. Therefore, in 2019, we will see companies using DevOps to gain insight into effective user stories and significantly reduce costs.   

3. Automation will become the mainstream of DevOps   Artificial DevOps are time consuming, inefficient and error prone. So in 2019, CI/CD automation will be at the heart of DevOps practice.   

Cloud computing battlefield “killing”   

In 2019, enterprises will rethink the application of cloud computing, and there will be some start-ups based on the concept of “born-in-cloud”, which is designed to target cloud-only delivery, specific cloud services that do not involve traditional systems, and operate through intelligent cloud. Enhance value, around cloudy, cloud interoperability and HPC. More companies will seek to establish a Cloud Center of Excellence (CoE).   

1. Enterprises will be separated from the “single cloud solution”   

In 2018, companies were generally aware of the risk of putting eggs in a basket. In 2019, companies will fully adopt a hybrid cloud architecture. Hybrid clouds will become the new normal of cloud computing in 2019. Enterprises will also address interoperability issues through standardized cloud architectures while accelerating the use of APIs.   

2.HPC occupies a place in cloud computing   

Institutions such as finance, deep learning, semiconductors or genomics are facing tremendous competitive pressures. They would envision a high-end, high-performance, compute-intensive application. To attract these industries, cloud providers will begin offering HPC capabilities on their own platforms.   

artificial intelligence   

In 2019, AI/ML will jump out of the R&D model and be widely implemented in enterprises. Enterprises will use AI/ML to achieve a good end-user experience. According to Adobe, companies using artificial intelligence will more than double in 2019. Technology and non-tech companies will strive to provide personalized services that utilize natural language processing.   

Artificial intelligence will also be used for infrastructure optimization. In 2019, the development of artificial intelligence embedded monitoring tools began to increase, helping companies create flexible infrastructures to cope with changing workloads. Use this AI-driven machine to reduce infrastructure latency, improve application stability and enhance performance.

storage provides a cost-effective choice for storage, supporting scale-out and cloud compatibility. Each object is also assigned unique metadata and IDs in the store to speed up the data retrieval and recovery process. Therefore, in 2019, more companies are expected to adopt object storage to support their own big data needs.   

4.SDS promotes the adoption of NMVe   

In 2019, SDS will accelerate the adoption rate of NVMe. Because it eliminates the problems associated with traditional storage, it ensures smooth data migration when enterprises adopt NVMe. In the future, we will see vendors designing storage platforms that increase the NVMe protocol. In 2019, NMVe’s growth will be dominated by FC-NVME and NVMe-oF.   

Hyper-converged infrastructure (HCI)   

In 2019, HCI was still a trump card to create a centrally managed multi-tier infrastructure. We’ll see more companies deploying applications quickly with HCI around a policy- and data-centric architecture.   

Virtualization   

In 2019, the growth of virtualization will revolve around software-defined data centers and containers.   

 

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