Cloud monitoring security model is unstoppable

Recently, a leading company in the domestic security industry has officially established a long-term strategic partnership with Alibaba Cloud. The two parties will focus on the application of cloud computing and big data technology in cloud video services and cooperate in various fields such as individuals, families, small and micro enterprises, government and enterprise industries, and smart cities. In October, the company and Baidu jointly announced a cooperation on Internet-based smart video cameras.
These two cooperations are centered around cloud computing and big data applications. Since the emergence of cloud computing technology, the traditional security video surveillance model has been changed, and network monitoring has been realized with the help of the "cloud" concept. Cloud computing not only makes massive surveillance storage possible, but also makes massive video data mining a reality.
Cloud monitoring has become an unstoppable trend
Cloud computing has brought huge impetus to security. With the development of cloud computing and big data in recent years, the storage and intelligent analysis problems in the video surveillance business have been solved, and the driving role of technology is very obvious. This is because video surveillance is increasingly used in security, transportation, medical, logistics and other fields, and massive video image processing requires corresponding storage and computing platforms. With the expansion of the global eye and the development of high-definition, massive transmission and storage needs, more cloud storage, cloud computing, and cloud search technologies are being widely used.
Take Safe City as an example. During the construction process of the current safe city project, high requirements are placed on monitoring networking. Therefore, many manufacturers have done enough work on the network processing capabilities of DVR, NVR, or NAS and SAN, and have greatly improved the network capabilities of various devices.
High-definition videos will have very large storage requirements after being encoded in different ways. This is undoubtedly a very big challenge to traditional storage methods. The emergence of monitoring storage cloud can effectively break the constraints of traditional storage models on storage work. It allows various types of storage devices in the network to be effectively combined to form more powerful storage capabilities than ever before.
Better linear expansion of performance and capacity is achieved, making the "mass storage" that has been pursued in the IT field possible. The benefit this integration brings to users is that it can reduce users' heavy investment in monitoring storage devices and reduce enterprises' capital expenditures on security management. And can better realize resource sharing, data transmission efficiency and security capabilities.
The current intelligent analysis equipment is mainly installed and controlled at front-end monitoring points, but the actual effect is not ideal. With the help of cloud computing technology, idle nodes in the network can be activated at the back end to perform intelligent analysis, thereby obtaining more intelligent work returns with smaller equipment investment.
Nowadays, cloud computing technology can very well realize the analysis function of intelligent video. Those simple manual analysis can no longer effectively monitor each detection point, so intelligent system analysis plays an irreplaceable role in this kind of management. Cloud computing technology has made monitoring globalization a reality, and security systems under cloud monitoring mode have become more secure and efficient. Network monitoring tools make up for the shortcomings of cloud monitoring
Cloud monitoring has become a mainstream trend, which is of great significance for security monitoring and data collection. , however, the key elements of the network often fail to meet the requirements. With the help of third-party network monitoring tools, you can ensure that cloud operations comply with standards. Network monitoring tools are divided into three categories:Basic monitoring, visualization and reporting, as well as advanced anomaly detection.
Basic network monitoring tools get the job done
Nagios is an open source network monitoring tool that is difficult to use, but comprehensive. It captures network protocols, monitors network services, and generates alerts via SMS, email, or custom script execution. The reporting module provides documentation of past interrupts and interrupt responses.
For those who want Nagios monitoring capabilities without the administrative learning curve, third-party tools based on Nagios may be the right choice. Opsview Ltd. offers services, premium features, service support and several different plans - choose from a free open source enterprise-grade core option. The latter includes unified dashboards, enterprise reporting and data aggregation from multiple distributed master servers.
Another open source IT infrastructure option, including network monitoring, comes from ZabbixISA. With Zabbix monitoring tool, administrators can collect detailed metrics of servers and network devices. Provides visualizations to present large amounts of data in easy-to-evaluate formats. Agents enable distributed monitoring, and both principal-based and agentless monitoring options are available.
Visualization tools are capable of receiving large amounts of data
One of the challenges posed by a network monitoring service is the large amount of data it can generate. Reporting tools can filter and aggregate data. Visualization can consolidate large amounts of data and present it in a way that shows significant relationships.
For visualization, cloud administrators may want to use open source network monitoring tools such as PRTG, built on RRDtool for data logging and graphing applications. Commercial PRTG support is available for Paessler. Another visualization tool based on RRDtool, available to AWS Jump Box marketing partners. Cacti includes an interface that supports graph templates and multiple data collection methods.
Anomaly detection monitoring for advanced networks
However, relying solely on visualization technology cannot meet the requirements. Some patterns of network traffic are more subtle. For example, changes in average traffic patterns can indicate a problem but may not show up in typical management reports and visualizations. This requires an anomaly detection technique. For more advanced preemptive monitoring, anomaly detection applications can identify areas of network behavior outside of expectations.
Anomaly detection is an important service requiring consistent application and network performance. A successful marketing campaign can bring peak traffic to your website. Even when load balancing, there is a risk of increased traffic latency as tools like Numenta can identify spikes and other anomalies.

Ideally, if autoscaling is enabled, the application will automatically add nodes to the cluster to handle the increase in load. Tools such as identifying potential performance issues enable system administrators to manually add additional servers or ensure scaling to cope with increased workloads.

                 (Source: China Security Exhibition Network) www.xldcctv.com