By Brian Ritchie

How you can speed up your software improvement through development scalable functions at the RavenDB record database


• the right way to construct your software for scalability and excessive availability
• Make hugely interactive functions that aid client-side notifications, faceted seek, seek feedback, and more
• reap the benefits of complicated RavenDB APIs to make your software fly

In Detail

RavenDB is an exhilarating expertise that demanding situations builders to re-evaluate their outdated methods of puzzling over databases. these days, Internet-scale functions require this clean point of view. RavenDB excessive functionality strikes past the fundamentals and publications you thru development scalable functions utilizing the wealthy good points and extensibility of RavenDB.

RavenDB excessive Performance cuts in the course of the noise and makes a speciality of the foremost info you want to construct scalable purposes at the RavenDB record database. The e-book discusses each point of establishing a excessive functionality approach, from modeling your information to deploying it in a clustered setting. Examples are supplied to make this knowledge effortless to use for your particular program scenario.

Beginning with the NoSQL circulate, RavenDB excessive functionality delves into the forces pushing builders past the normal relational database strategies. From there, the booklet makes a speciality of the layout and improvement of web-based purposes on RavenDB. It offers transparent recommendation and examples to lead the reader via this new and intriguing expertise. information modeling via files is mentioned intimately. This knowing is important for development fresh code and scalable functions. as soon as this origin is confirmed, the writer specializes in key APIs that optimize info entry and provides finish clients nice studies. Scaling out and excessive availability recommendations also are mentioned in detail.

RavenDB excessive Performance brings jointly the assets you wish for development scalable purposes on RavenDB in a simple to appreciate and use layout. suggestion, diagrams, and code might help you quick comprehend the suggestions that you'll follow for your subsequent application.

What you are going to study from this book

• version information utilizing documents
• make the most of the easiest APIs for optimizing info access
• computer screen a RavenDB instance
• realize functionality difficulties and song your configuration
• Scale out to a number of nodes utilizing sharding
• mirror to a relational database for reporting
• Distribute load utilizing learn striping
• Create excessive availability via multi-node replication
• Use Failover Clustering for top availability
• install RavenDB to the cloud
• Create client-side notifications from RavenDB utilizing SignalR
• expand the RavenDB server together with your personal customized code


RavenDB excessive Performance is entire but concise instructional that builders can use to maximise the potency and optimization of RavenDB itself.

Who this e-book is written for

This e-book is for builders and software program architects who're designing structures with a purpose to in attaining excessive functionality correct from the beginning. A uncomplicated figuring out of RavenDB is suggested, yet no longer required. whereas the ebook makes a speciality of complicated themes, it doesn't suppose that the reader has loads of earlier wisdom of operating with RavenDB.

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Sample text

Loose requirements provide enough rope to hang ourselves. It is too easy to weave a path that is difficult to maintain. In this chapter, we will learn how to meet requirements in a way that supports the needs of the group of eight. This helps keep MATLAB object-oriented programming on the straight and narrow. 1 VARIABLES, TYPES, CLASSES, AND OBJECTS In every specialty, there are certain words that carry special meaning. At first glance, the sheer number of special words associated with object-oriented programming appears overwhelming.

The total time to bug-free software with high-reliability practices is seven hours. Compare that to eight hours without them. Both produced the same code; however, high-reliability practices give you extra time to learn new development techniques, keep your desk tidy, or be even more productive. What about the span? It is extremely difficult to estimate how long it will take to find and fix a bug. If you dedicate four of every eight hours to a task that is extremely difficult to predict, how good is your predicted schedule?

Merging the two represents yet another challenge. The MathWorks software engineers did a very commendable job in adding object-oriented capability to MATLAB. Their object model seamlessly meets all of the basic requirements of object-oriented programming; however, this does come with a price. You must write efficient code or run-time performance will suffer. Gaining efficiency requires advanced MATLAB techniques. There are new functions to learn, and familiar functions will be used in entirely new ways.

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RavenDB High Performance by Brian Ritchie

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