AWS_Educate_Ambassador_Day_TAIWAN_Track_B - Build a Telegram Chatbot using AW...土撥 JIE
1. Introduction of Chatbot
2. The relationship of API and HTTP
3. Amazon API Gateway
4. AWS Lambda
5. The concept of Serverless
6. Build a Telegram Chatbot using AWS Serverless Services
ChinaNetCloud talk on Operations-as-a-Service at AWS China Summit 2015 in Shanghai. Covers OaaS cases, technology, and AWS.
Given December 17th, 2015, in Shanghai, in Chinese by Yinan Gu.
AWS_Educate_Ambassador_Day_TAIWAN_Track_B - Build a Telegram Chatbot using AW...土撥 JIE
1. Introduction of Chatbot
2. The relationship of API and HTTP
3. Amazon API Gateway
4. AWS Lambda
5. The concept of Serverless
6. Build a Telegram Chatbot using AWS Serverless Services
ChinaNetCloud talk on Operations-as-a-Service at AWS China Summit 2015 in Shanghai. Covers OaaS cases, technology, and AWS.
Given December 17th, 2015, in Shanghai, in Chinese by Yinan Gu.
面對日新月異的大數據工具,有時候很難跟上這節奏。有鑑於此,Amazon Web Services提供了廣泛而完善的雲端運算服務組合,幫助您構建、維護和部署大數據應用程式。
這場線上研討會,將為各位深入淺出介紹AWS 雲端平台提供的各種大數據選項,包括現正流行的大數據框架,如Hadoop、Spark、NoSQL數據庫等,同時透過使用案例來瞭解最佳實踐方式。最後,您將了解如何應用這些工具服務,將大數據導入您的現實應用程式中。
面對日新月異的大數據工具,有時候很難跟上這節奏。有鑑於此,Amazon Web Services提供了廣泛而完善的雲端運算服務組合,幫助您構建、維護和部署大數據應用程式。
這場線上研討會,將為各位深入淺出介紹AWS 雲端平台提供的各種大數據選項,包括現正流行的大數據框架,如Hadoop、Spark、NoSQL數據庫等,同時透過使用案例來瞭解最佳實踐方式。最後,您將了解如何應用這些工具服務,將大數據導入您的現實應用程式中。
the evolution of data infrastructure at lianjia毅 吕
Yi Lyu is the platform architect and leader of the data infrastructure team at Lianjia.com. Previously, he was a senior engineer at Baidu and an engineer at Sina. As platform architect, his mission is to build a full value chain real estate service platform that promotes industry progress and makes housing transactions easier by sharing information. He focuses on developing Lianjia.com's data assets and infrastructure, which includes housing, customer, behavioral, and transportation data. The infrastructure provides data analysis, querying, APIs, engines, ETL, management, security, and computing capabilities to support the company's products and data-driven work.
The document outlines the history of building a big data platform from 2014 to 2016, starting with building a Hadoop cluster in 2014, creating the first data report page in 2015, launching products based on big data also in 2015, developing data analysis products in 2016, and making changes to the platform in 2016. It then transitions to discussing the current state of the big data platform.
The document discusses different technologies for real-time data collection and analysis, including Kafka for collecting and distributing streaming data, Storm for distributed real-time computation, and using PHP and FastCGI to parse real-time logs from Kafka in a Storm topology. It provides an overview of these technologies and their features, and proposes an architecture to collect logs with Kafka, process them with Storm and PHP, and output results through FastCGI.
PHP & Performance document discusses various techniques to improve PHP and web server performance. Some key points:
- Compilation of PHP scripts can consume significant time, opcode caches like APC reduce this.
- Profiling tools like APD and XDebug help identify bottlenecks in PHP code. Optimizations like output buffering, reducing output, content compression and database tuning can improve performance.
- Server configuration like Apache optimizations for file I/O, syscalls and KeepAlive headers also impact performance. PHP settings like disabling register_globals and using opcaches help.
- Application techniques like avoiding unnecessary functions, using class constants, and reducing regex usage in PHP code provide performance benefits.
12. 链家⽹网存储架构 2015年年
corporate data center
AWS Direct
Connect
ELB
(internal)
EC2
(Web Services)
ELB
(public)
Ceph
Business group
Business A
Business B
Projects
(Web services)
80% 20%
13. 链家⽹网基于AWS S3的存储架构
corporate data center
AWS Direct
Connect
Projects
(internal)
ELB
(internal)
EC2
(auto scaling)
ELB
(public)
S3 Redshift
Cache
security group
Availability Zone