The document discusses common architectural choices for building large analytic systems to handle emerging hardware, software, and data volume needs. It outlines storage and processing principles like using a massively parallel processing (MPP) cluster architecture with distributed data storage by value rather than chunks, column-oriented storage, immutable write-once storage, and processing techniques that trade CPU for I/O bandwidth and bring processing to the data. The document also introduces Vertica's community edition.
NML is a project for out-of-band server management that allows for extremely configurable OS installation with minimal human intervention. It aims to build an open-source matrix of server hardware and OS distribution combinations. The current status is that it is hosted on GitHub and has two main members. NML encapsulates intelligence in HTTP and uses technologies like iPXE, DHCP, and preseeding/kickstarting to remotely install and configure operating systems on servers. It focuses on flexibility and independence from specific OSes or hardware.
The document discusses the internals and architecture of the Nginx web server. It covers Nginx's event-driven and non-blocking architecture, its use of memory pools and data structures like radix trees, how it processes HTTP requests through different phases, and how modules and extensions can be developed for Nginx. The document also provides an overview of Nginx's configuration, caching, and load balancing capabilities.
This document provides instructions for debugging nginx. It discusses 1) generating a core dump when nginx crashes, 2) using pgrep to identify nginx worker processes, and 3) obtaining a backtrace to help debug issues by contacting the nginx mailing list or forum.
The document discusses common architectural choices for building large analytic systems to handle emerging hardware, software, and data volume needs. It outlines storage and processing principles like using a massively parallel processing (MPP) cluster architecture with distributed data storage by value rather than chunks, column-oriented storage, immutable write-once storage, and processing techniques that trade CPU for I/O bandwidth and bring processing to the data. The document also introduces Vertica's community edition.
NML is a project for out-of-band server management that allows for extremely configurable OS installation with minimal human intervention. It aims to build an open-source matrix of server hardware and OS distribution combinations. The current status is that it is hosted on GitHub and has two main members. NML encapsulates intelligence in HTTP and uses technologies like iPXE, DHCP, and preseeding/kickstarting to remotely install and configure operating systems on servers. It focuses on flexibility and independence from specific OSes or hardware.
The document discusses the internals and architecture of the Nginx web server. It covers Nginx's event-driven and non-blocking architecture, its use of memory pools and data structures like radix trees, how it processes HTTP requests through different phases, and how modules and extensions can be developed for Nginx. The document also provides an overview of Nginx's configuration, caching, and load balancing capabilities.
This document provides instructions for debugging nginx. It discusses 1) generating a core dump when nginx crashes, 2) using pgrep to identify nginx worker processes, and 3) obtaining a backtrace to help debug issues by contacting the nginx mailing list or forum.
eBay processes extremely large amounts of data daily, including over 50 terabytes of new data with over 100,000 data elements. Their analytics platform processes over 100 petabytes of data per day with over 5,000 business users. eBay uses several data platforms including SQL, Hadoop, and Singularity to analyze both structured and unstructured data in real-time and handle millions of queries per day. Singularity is used to process semi-structured data more efficiently through functions like normalize_list and xpath that can extract and aggregate metrics from complex event data.
This document discusses LinkedIn's data infrastructure. It describes how LinkedIn handles large volumes of user data across online, nearline and offline systems. Key systems discussed include Kafka for messaging, Databus for change data capture, Voldemort for online key-value storage, and Espresso for indexed, timeline-consistent distributed storage. Espresso provides a rich data model and APIs for applications to access user data.
This document summarizes Facebook's real-time analytics systems. It describes Data Freeway, which uses a scalable data streaming framework to collect log data with low latency. It also describes Puma, which performs reliable stream aggregation and storage by sharding computations in memory and checkpointing to HBase. Future work may include open sourcing components and adding scheduler support.
The document discusses the YouTube Data Warehouse (YTDW), which consolidates YouTube data including videos, playbacks, and logs. It is very large, with petabytes of uncompressed data and trillion row tables. Key technologies used include Sawzall, Tenzing, Dremel, and ABI. Sawzall is used for ETL, Tenzing for SQL queries and ETL, and Dremel for reporting queries. Dremel has low latency but less power than Sawzall and Tenzing. The ABI tool is used for reporting and dashboards. Future work includes improving Dremel and replacing Tenzing with Dremel.
Discovering the Best Indian Architects A Spotlight on Design Forum Internatio...Designforuminternational
India’s architectural landscape is a vibrant tapestry that weaves together the country's rich cultural heritage and its modern aspirations. From majestic historical structures to cutting-edge contemporary designs, the work of Indian architects is celebrated worldwide. Among the many firms shaping this dynamic field, Design Forum International stands out as a leader in innovative and sustainable architecture. This blog explores some of the best Indian architects, highlighting their contributions and showcasing the most famous architects in India.
Explore the essential graphic design tools and software that can elevate your creative projects. Discover industry favorites and innovative solutions for stunning design results.
eBay processes extremely large amounts of data daily, including over 50 terabytes of new data with over 100,000 data elements. Their analytics platform processes over 100 petabytes of data per day with over 5,000 business users. eBay uses several data platforms including SQL, Hadoop, and Singularity to analyze both structured and unstructured data in real-time and handle millions of queries per day. Singularity is used to process semi-structured data more efficiently through functions like normalize_list and xpath that can extract and aggregate metrics from complex event data.
This document discusses LinkedIn's data infrastructure. It describes how LinkedIn handles large volumes of user data across online, nearline and offline systems. Key systems discussed include Kafka for messaging, Databus for change data capture, Voldemort for online key-value storage, and Espresso for indexed, timeline-consistent distributed storage. Espresso provides a rich data model and APIs for applications to access user data.
This document summarizes Facebook's real-time analytics systems. It describes Data Freeway, which uses a scalable data streaming framework to collect log data with low latency. It also describes Puma, which performs reliable stream aggregation and storage by sharding computations in memory and checkpointing to HBase. Future work may include open sourcing components and adding scheduler support.
The document discusses the YouTube Data Warehouse (YTDW), which consolidates YouTube data including videos, playbacks, and logs. It is very large, with petabytes of uncompressed data and trillion row tables. Key technologies used include Sawzall, Tenzing, Dremel, and ABI. Sawzall is used for ETL, Tenzing for SQL queries and ETL, and Dremel for reporting queries. Dremel has low latency but less power than Sawzall and Tenzing. The ABI tool is used for reporting and dashboards. Future work includes improving Dremel and replacing Tenzing with Dremel.
Discovering the Best Indian Architects A Spotlight on Design Forum Internatio...Designforuminternational
India’s architectural landscape is a vibrant tapestry that weaves together the country's rich cultural heritage and its modern aspirations. From majestic historical structures to cutting-edge contemporary designs, the work of Indian architects is celebrated worldwide. Among the many firms shaping this dynamic field, Design Forum International stands out as a leader in innovative and sustainable architecture. This blog explores some of the best Indian architects, highlighting their contributions and showcasing the most famous architects in India.
Explore the essential graphic design tools and software that can elevate your creative projects. Discover industry favorites and innovative solutions for stunning design results.
Best Digital Marketing Strategy Build Your Online Presence 2024.pptxpavankumarpayexelsol
This presentation provides a comprehensive guide to the best digital marketing strategies for 2024, focusing on enhancing your online presence. Key topics include understanding and targeting your audience, building a user-friendly and mobile-responsive website, leveraging the power of social media platforms, optimizing content for search engines, and using email marketing to foster direct engagement. By adopting these strategies, you can increase brand visibility, drive traffic, generate leads, and ultimately boost sales, ensuring your business thrives in the competitive digital landscape.