Site24x7 Enters China Cloud Monitoring Market
March 18, 2019
Share this

Site24x7, the cloud-based performance monitoring solution for DevOps and IT operations from Zoho Corporation, announced the availability of its monitoring service in China with the launch of a new data center in Shanghai.

Site24x7.cn, available immediately in Simplified Chinese, is an AI-powered solution that provides businesses in the region with the support and end-to-end visibility vital to their digital transformation and optimization journey.

The launch introduces the company's all-in-one monitoring capabilities, including user experience, infrastructure, and application performance monitoring, to provide a better end user experience for digital services. Site24x7 enhances business productivity and delivers operational efficiency, enabling businesses to gain a competitive advantage.

This investment assures the R&D focused company's long-term commitment and future in China as a leading provider of all-in-one monitoring solution that help businesses transition to a seamless digital experience. Businesses can now sign up for a three month free trial of the full-fledged solution starting from today.

"With digital services among China's businesses picking pace, the country is heading northwards in adopting IaaS and PaaS," said Li Fei, VP Zoho China. "This calls for continuous monitoring of cloud environments to have an edge over others in business. Site24x7's entry into China market brings in expertise and performance monitoring best practices to address the growing business and IT challenges in the region."

According to China Internet Watch, China's public cloud IaaS market will reach RMB 342.58 billion (USD 49.87 billion) by the end of 2021. Small and medium-sized businesses are adopting public and private cloud offerings for their digital transformation strategies, while enterprises are adopting a multi-cloud, hybrid approach. For all these scenarios, both IT and DevOps teams are tasked with managing the ever-increasing complexity of the infrastructure to provide a better user experience. It's imperative for the teams to have end-to-end visibility of their infrastructure to proactively solve issues in the applications before they impact customers and their businesses.

Addressing this growing demand for better user experience in the region, the company announces operations in China to provide the same seamless experience, which it has been successfully offering for over 25,000 customers and 100+ Fortune 1,000 companies worldwide. Site24x7's unified solution delivers full stack monitoring in a hybrid environment, giving DevOps and IT teams a holistic view into their IT infrastructure, thus ensuring applications run all the time in a secured manner, and perform optimally. The product, fortified with artificial intelligence for IT operations (AIOps), proactively predicts outages based on event correlation thus bringing downtime episodes to near zero.

"Slow is the new down in the digital era," said Srinivasa Raghavan, Product Manager, Site24x7. "China's growing adoption and optimization of digital services emphasizes the need to deliver top-notch user experience to their customers. Site24x7 bridges the operational gap for DevOps and IT teams with its deep monitoring insights that provide better visibility into performance trends and user impact, reducing time to repair and refine."

The new Shanghai data center will be Site24x7's fifth data center worldwide in conjunction with Zoho Corporation, and the company will announce another in Beijing in the next quarter. The company's office in Beijing, Shanghai, Guangzhou, Wuhan, Xian, Chengdu, Fuzhou, Jinan gives easy access to both customers and partners in reaching new horizons in business.

Share this

The Latest

October 17, 2019

As the data generated by organizations grows, APM tools are now required to do a lot more than basic monitoring of metrics. Modern data is often raw and unstructured and requires more advanced methods of analysis. The tools must help dig deep into this data for both forensic analysis and predictive analysis. To extract more accurate and cheaper insights, modern APM tools use Big Data techniques to store, access, and analyze the multi-dimensional data ...

October 16, 2019

Modern enterprises are generating data at an unprecedented rate but aren't taking advantage of all the data available to them in order to drive real-time, actionable insights. According to a recent study commissioned by Actian, more than half of enterprises today are unable to efficiently manage nor effectively use data to drive decision-making ...

October 15, 2019

According to a study by Forrester Research, an enhanced UX design can increase the conversion rate by 400%. If UX has become the ultimate arbiter in determining the success or failure of a product or service, let us first understand what UX is all about ...

October 10, 2019

The requirements of an APM tool are now much more complex than they've ever been. Not only do they need to trace a user transaction across numerous microservices on the same system, but they also need to happen pretty fast ...

October 09, 2019

Performance monitoring is an old problem. As technology has advanced, we've had to evolve how we monitor applications. Initially, performance monitoring largely involved sending ICMP messages to start troubleshooting a down or slow application. Applications have gotten much more complex, so this is no longer enough. Now we need to know not just whether an application is broken, but why it broke. So APM has had to evolve over the years for us to get there. But how did this evolution take place, and what happens next? Let's find out ...

October 08, 2019

There are some IT organizations that are using DevOps methodology but are wary of getting bogged down in ITSM procedures. But without at least some ITSM controls in place, organizations lose their focus on systematic customer engagement, making it harder for them to scale ...

October 07, 2019
OK, I admit it. "Service modeling" is an awkward term, especially when you're trying to frame three rather controversial acronyms in the same overall place: CMDB, CMS and DDM. Nevertheless, that's exactly what we did in EMA's most recent research: <span style="font-style: italic;">Service Modeling in the Age of Cloud and Containers</span>. The goal was to establish a more holistic context for looking at the synergies and differences across all these areas ...
October 03, 2019

If you have deployed a Java application in production, you've probably encountered a situation where the application suddenly starts to take up a large amount of CPU. When this happens, application response becomes sluggish and users begin to complain about slow response. Often the solution to this problem is to restart the application and, lo and behold, the problem goes away — only to reappear a few days later. A key question then is: how to troubleshoot high CPU usage of a Java application? ...

October 02, 2019

Operations are no longer tethered tightly to a main office, as the headquarters-centric model has been retired in favor of a more decentralized enterprise structure. Rather than focus the business around a single location, enterprises are now comprised of a web of remote offices and individuals, where network connectivity has broken down the geographic barriers that in the past limited the availability of talent and resources. Key to the success of the decentralized enterprise model is a new generation of collaboration and communication tools ...

October 01, 2019

To better understand the AI maturity of businesses, Dotscience conducted a survey of 500 industry professionals. Research findings indicate that although enterprises are dedicating significant time and resources towards their AI deployments, many data science and ML teams don't have the adequate tools needed to properly collaborate on, build and deploy AI models efficiently ...