With the rapid development of the Internet and the continuous acceleration of the pace of enterprise informatization, the application and management mode of IT resources is undergoing profound changes. It will gradually develop from independent and scattered functional resources to services based on data centers and innovative resources. In this context, the data center has become an infrastructure like transportation and energy.
The data center has experienced more than forty years of development, driven by the advancement of information technology and the increasing importance of the data center in enterprises and departments, its speed of change and development is even more rapid. In the future, the number and scale of data centers will continue to increase, and the complexity will also continue to increase. At the same time, various application requirements will emerge in an endless stream.
All of these make traditional data centers unable to meet the requirements of modern data centers like google photos recovery. Especially in the era of big data, existing data centers are facing problems such as high construction costs, long cycle times, high energy consumption, low operation and management efficiency, and poor scalability. These seriously restrict the business development of enterprises.
The problems of traditional data centers are mainly reflected in the following aspects:
- High cost
- Huge energy consumption
- Resource isolation and low utilization
- Poor degree of automation and agility
To meet the needs of enterprises for data storage backup, disaster recovery, and load balancing, building an enterprise-level data center has become an indispensable part of enterprise IT construction. As an IT technology supplier with more than 20 years of rich practical experience, Spinbackup fully considers the company’s technology and human factors in the construction of enterprise data centers, combines the most cutting-edge technology, and builds the most data center suitable for the enterprise’s own needs.
Many enterprises often adopt the traditional architecture of data center construction, which is generally a classic three-tier structure based on the application layer, server layer, and storage layer, and uses virtualization technology to achieve load balancing of computing resources. Traditional architecture data centers are usually affected by Due to hardware limitations, it is difficult to control costs under the premise of meeting performance requirements. To achieve active-active storage, multiple storage devices need to be purchased, and some solutions also need to add storage gateways. The maintenance costs are high, and the consumption of personnel, space, and electricity is also difficult. reduce.
Spinbackup’s data center construction plan combines the concept of a software-defined data center (SDDC) and adopts a converged architecture. Compared with the traditional architecture of server + centralized storage, the converged architecture data center greatly improves storage read and write performance under SSD cache technology. Replica technology guarantees virtual and data security avoids performance failures, and has good linear expansion and fine-grained expansion capabilities, making it more efficient in use and management.
Benefits of Data Backup Solutions for an Organization
1. Software – Defined Computing
Software-defined computing is a virtualization technology for x86 systems. It can transform x86 systems into a common shared hardware infrastructure. The work previously done by multiple servers can be integrated into a few servers. Getting rid of the silo structure, the physical server hardware, operating system, and applications are connected in a loosely coupled manner, and the virtual machine and the operating system and applications on it are completely independent of the underlying hardware.
In addition, software-defined computing realizes the free allocation and full utilization of resources by abstracting, pooling, and automating server computing resources. It can make full use of resources and allocate them on demand. When the server in the data center needs to be upgraded or maintained, the virtual machine on the server can be migrated to another host in the working state through the virtual machine migration technology, to maintain business continuity. Server virtualization greatly increases the flexibility of the data center and the agility of IT and reduces the complexity of management and IT response time.
2. Software – Defined Storage and Availability
Software-defined storage can abstract storage resources. It applies advanced technologies applied to servers in the storage field and can abstract heterogeneous storage resources to support storage pooling, replication, and on-demand distribution. And use the application as the center for consumption and management, and finally realize policy-based automation. This solution makes the storage layer very similar to the virtualized computing layer: both have the characteristics of aggregation, flexibility, high efficiency, and elastic expansion. Their benefits are the same: overall reduction in storage infrastructure cost and complexity.
Software-defined availability can provide multiple functions such as local high availability, data protection, and disaster recovery, and it can ensure business continuity to the greatest extent. Local high-availability solutions refer to solutions that protect applications between physical hosts within a site so that they are not affected by the downtime of a single host. Data Protection backs up entire virtual machines, including the operating system, application binaries, and application data, in a simple and non-disruptive manner. A disaster recovery solution enables an enterprise to manage failover from a production data center to a disaster recovery site, and at the same time, it can manage failover between two sites that are each other’s recovery sites and have active workloads.
3. Software – Defined Networking and Security
Existing network architecture has a great dependence on the underlying physical hardware, they rely on dedicated physical equipment, so the flexibility is poor. In addition, this inflexible architecture places significant limitations on the scaling and migration of workloads and applications. In terms of security, traditional security protection methods are expensive, have no perception of virtualization platforms, are not flexible enough to use, and are difficult to manage, so they cannot well meet the needs of the new architecture.
Software-defined networking and security will create a layer-2 to layer-7 network service, and completely separate network connection and security components from the underlying physical network infrastructure by creating a software-driven abstraction layer, so it can ensure hardware independence and make the network Connectivity and security services are freed from hardware-bound constraints.
This solution can faithfully reproduce the physical network model from the perspective of the terminal host: the workload does not feel any difference, so the software-defined network and security are transparent to the upper-layer applications, and the above-mentioned services can continue to be used without any modification.
4. Efficient and Agile Operation And Maintenance Management and Service Deployment
All computing, storage, and network resources in the software-defined data center are loosely coupled, and the allocation of certain resources can be appropriately increased or decreased according to the consumption ratio of various resources in the data center, which makes the management of the data center more powerful. flexibility.
The efficient and agile service provisioning solution provided by VMware can not only manage basic computing resources but also manage desktop resources. It provides a self-service portal to manage and provision virtual and physical machines and manage their lifecycle across different cloud providers.
Operations management solutions can provide users with a more comprehensive view of all layers of the infrastructure. It collects and analyzes performance data, correlates anomalies, and identifies the root cause of performance problems. It provides capacity management to optimize resource usage and policy-based configuration management to ensure compliance and eliminate sprawl and configuration drift. Application discovery, dependency mapping, and cost-metering capabilities bring a new level of application awareness and financial accountability to infrastructure and operations teams.
5. Lat Expansion
On the one hand, this solution can achieve highly intelligent management of the data center with fewer staff, and on the other hand, it also provides a more agile, efficient, and cost-controllable solution for the subsequent construction of three centers in two places.