how to retarget on linkedin

header file. In addition printf needs retarget processing, the specific code is as follows:Retarget.h header file added: #ifdef __gnuc__ /* with gcc/raisonance, small printf (option LD linker->libraries- >small printf * /#define putchar_prototype int __io_putchar (int ch) # else #define putchar_prototype int fputc (int ch, FILE *f) #endif /* __gnuc__ */retarget.c file Add:putchar_prototype{ /** /Usart_senddata (USART1, (uint8_t) ch

Question: Hello, I want to output debugging information in the console of axd recently.When searching for information, you can see the "semihosting"ArticleIt has some inspiration for me, but I still don't quite understand it. Can you give me a detailed description?. The processor I use is pxy255, And the simulator is banyan.Now I want to output debugging information in the axd console. What should I do?Thank you!Hope to contact you via email! My reply: 1. Please double-check if axd can work w

users are used to sort answers." Starting from the product, Quora believes that Google and Wikipedia are too structured and machine algorithms are more sophisticated. When providing answers for knowledge, Quora focuses more on simplicity and popularity to meet the costs of most users, that is, we have to discard a few users with individual and deep needs. In normal communities, the support for Q A interactions is extremely limited, not only cannot highlight high-quality content, but also canno

Kafka is a message system contributed by LinkedIn to the Apache Foundation, known as a top-level project of Apache. Kafka was originally used as the base of the LinkedIn activity stream and operation data pipeline Kafka is a message system contributed by LinkedIn to the Apache Foundation, known as a top-level project of Apache. Kafka was originally used as the ba

Original link: LinkedIn translation: Importnew.com-hejianiLink: http://www.importnew.com/11336.htmlHigh-performance applications form the backbone of modern networks. LinkedIn has many internal high-throughput services to meet user requests thousands of times per second. To optimize the user experience, it is important to respond to these requests with low latency.For example, one feature that users often u

close the socket pool: // Disable socket pooling var http = require('http');var options = {.....};options.agent = false;var req = http.request(options) 3. Do not use Node. js for static Resources For static resources such as css and images, use standard WebServer instead of Node. js. For example, LinkedIn mobile uses nginx. We also use the content delivery network (CDNs) to copy static resources around the world to servers. This has two advantages:

: User acquisition, activation, retention, monetization and dissemination.Figure 2: The Pirate Law of growing hackersTherefore, product managers should think about products from the user life cycle and the whole process of enterprise business, and find every growth point of the product. The growth system has been reused by Silicon Valley giants like Facebook,LinkedIn,andAirbnb , suggesting that all product managers have a good learning And look at the

collaboration tool. Worktile: One-stop enterprise collaborative management platform. Exchange Community Codepen: Online Sharing Write your front-end code, recommended jackets! Dribble: Designers share the community, the source of inspiration. Web Performance Testing Website Speed test: web site load rate testing. Google Pagespeed Insights:pagespeed is Google's Web testing tool to optimize your recommendations through test scores. Google Chrome DevTool

on the subject or content. The Publish/Subscribe feature makes the coupling between sender and receiver looser, the sender does not have to care about the destination address of the receiver, and the receiver does not have to care about the sending address of the message, but simply sends and receives the message based on the subject of the message. Cluster (Cluster): To simplify system configuration in point-to-point communication mode, MQ provides a Cluster (cluster) solution. A cluster is

650) this.width=650; "Src=" Http://s5.51cto.com/wyfs02/M00/84/20/wKiom1eGDODBxV0JAAFlUUnxPDE965.jpg-wh_500x0-wm_3 -wmp_4-s_3585478208.jpg "title=" 1.jpg "alt=" Wkiom1egdodbxv0jaafluunxpde965.jpg-wh_50 "/>PayPalDo you know what Tesla Motors,linkedin,spacex,yelp,yammer has in common with these companies? In addition to their market capitalisation of more than 1 billion dollars, their founders are a PayPal gang (PayPal Mafia), if the history of Silicon V

Kafka principleKafka is a messaging system that was originally developed from LinkedIn as the basis for the activity stream of LinkedIn and the Operational Data Processing pipeline (Pipeline). It has now been used by several companies as multiple types of data pipelines and messaging systems. Activity flow data is the most common part of data that almost all sites use to make reports about their site usage

Reprinted from Http://blog.chinaunix.net/uid-20196318-id-2420884.htmlKAFKA[1] is a distributed message queue used by LinkedIn for log processing, and the log data of LinkedIn is large, but the reliability requirements are not high, and its log data mainly includes user behavior (login, browse, click, Share, like) and system run log (CPU, memory, disk, network, System and process status).Many of the current