Database Resilience

Discover database resilience, include the articles, news, trends, analysis and practical advice about database resilience on alibabacloud.com

Hypertable 0.9.5.6 publishes a high-performance and scalable database

Hypertable is a high-performance and scalable database modeled after Google BigTable. The aim is to manage large cluster storage and http://www.aliyun.com/zixun/aggregation/7394.html "> Information processing for commercial servers, providing resilience to machine and component failures. Hypertable is designed by the Zvents bigtable clone Open source project to c++++ writing, can stand ...

Bluemix a data Center architecture for cloud-enabled

Codename:bluemix is a beta-grade product that will continue to improve as we continue to make functions more complete and more accessible. We will do our best to keep this article up to date, but it is not always in full progress. Thank you for your understanding. The consumer banking industry is changing the direction of its business model from a product-centric island to a customer-centric strategy. The banking system must be a highly resilient platform to take advantage of the ability of consumers to access their accounts and execute transactions through a variety of channels, including mobile devices. Financial institutions in their old data center environment ...

Mobile internet will be the main battlefield of large data application

"IT168 Database Conference Report" April 2013 18-20th, the Third China Database Technology Congress (DTCC 2013) kicked off at four points by Sheraton Beijing Hotel. During the three-day meeting, the Conference will explore a wide range of technology areas such as large data applications, data architecture, data management (data governance), traditional database software, and will invite a group of top technical experts to share. On the basis of retaining the traditional theme of database software application practice, this session will lead to large data, data structure, data management and analysis, business intelligence ...

43 Free cloud computing technology services

43 Free cloud computing services, the cloud computing integrated development environment, source code management, problem tracking, cloud database, CMS, payment gateway, code hosting, load testing, monitoring, help and web analytics, 11 areas of free cloud computing technology summarized. Since March, the Xeround team has been brainstorming to present a free cloud computing technology "feast" for application developers-listing 43 cloud computing services that make it easier for programmers to develop applications and, more importantly, free! All they do is release your IT resources ...

Former MySQL CEO: Cloud will redefine everything about developers

The rules of software since its inception have not changed, that is, software running on the platform. However, the design and deployment of the underlying software is often changed, and even 8630.html ">" is sometimes completely changed. For example, in the 80 's when the PC, x86 architecture, and Client/server model were born, the design of the application changed dramatically. Change once again occurs in Http://www.aliyun.com/zixun/aggregation/16333.html&.

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How should the "Life curve" of start-up companies be extended?

2011, IBM has finally become a century-old shop. On birthdays, IBM published four pages of ads in the Wall Street Journal, the Washington Post and The New York Times. Our grandparents ' generation, the company that everyone admired, no longer exists. Of the top 25 companies in the world's top 500 companies in 1961, only 6 are now left. "The ad may have been designed to promote IBM's resilience and quality, but it also highlights the entrepreneurial world today, with new companies springing up like bamboo, not just in Silicon Valley but around the world," he said. ...

Virtualization Technology: Disaster recovery in the cloud computing era

Traditionally, a business needs to develop a disaster recovery plan based on their respective recovery-time objectives (RTO), enabling them to recover operations within a certain amount of time. Typically, this may involve rebuilding infrastructure and applications over a period of more than 72 hours, and handling the purchase and deployment of tangible assets. In reality, this process may take a longer time. Downtime for critical applications is by no means an option, and people always recommend a full redundancy, http://www.aliyun.com/zixun/aggregat ...

Design principle of reference design for Hadoop integrated machine

Hadoop is a highly scalable, large data application that can handle dozens of TB to hundreds of PB of data through fewer than thousands of interconnected servers. This reference design realizes a single cabinet of Hadoop cluster design, if users need more than one cabinet of Hadoop cluster, can expand the design of the number of servers and network bandwidth easy to achieve expansion. Hadoop solution The features of Hadoop design Hadoop is a low-cost and highly scalable large data place ...

Big data coming, companies are not ready?

Large data technology is exciting, innovative and powerful. Large data technology can definitely bring business analytics to a new level ... But not now. The skills and best practices of business Intelligence (BI) have accumulated for many years in 1000 major global companies and countless smaller companies, and the relational database management system (RDBMS) is up to dozens of years. The products in these categories have excellent tool technology, manageability, and fault tolerance, providing interfaces for non-developer design, with carefully created data models that represent a great deal of input over the years. ...

New approaches to data protection and management--recovery management

IT administrators have done a lot of work on data protection, including data backup and management. In order to save money in both human and material resources, they face increasing challenges. This problem arises partly because of the growing number of business data, including database data, e-mail data, file sharing data, and so on. It is also because these data need to be kept for a long time to meet evolving business development needs. To reduce the human and material costs of protecting different kinds of data, many companies adopt a multi-level approach to data storage. At the same time, this tiered storage approach ...

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