EMC InfoArchive is an enterprise archiving solution that provides structured and unstructured content archiving. It uses connectors to transfer data from various sources into XML-based submission information packages (SIPs) and archive information packages (AIPs) for long-term storage. InfoArchive supports both active archiving of subsets of data on a periodic basis according to business rules, as well as full archiving of data when applications are being decommissioned. It utilizes technologies like HTML5, AngularJS, Java, and Apache Hadoop for its user interface, application, and data persistence.
The document discusses data storage and storage systems. It notes that storage is central to many areas of life and that data is growing exponentially. It then defines what a storage system entails, including storing data, making data available, protecting data, and processing data. It lists the various components and layers involved, such as drivers, operating systems, file systems, virtualization, networks, data services, security technologies, programming languages, and development tools and processes.
The document discusses various topics related to data storage and performance optimization at EMC Corporation including hardware, software, certification, defining problems, marketing versus optimization, and winning performance races. It emphasizes the importance of configuration, testing, and analysis for certification and optimization.
The document discusses how data growth is breaking traditional storage approaches and how modern applications are also challenging traditional storage. It proposes that software-defined storage using commodity platforms can help address these issues by providing storage services on these platforms across global infrastructures with reduced overhead the more data centers that are used.
EMC InfoArchive is an enterprise archiving solution that provides structured and unstructured content archiving. It uses connectors to transfer data from various sources into XML-based submission information packages (SIPs) and archive information packages (AIPs) for long-term storage. InfoArchive supports both active archiving of subsets of data on a periodic basis according to business rules, as well as full archiving of data when applications are being decommissioned. It utilizes technologies like HTML5, AngularJS, Java, and Apache Hadoop for its user interface, application, and data persistence.
The document discusses data storage and storage systems. It notes that storage is central to many areas of life and that data is growing exponentially. It then defines what a storage system entails, including storing data, making data available, protecting data, and processing data. It lists the various components and layers involved, such as drivers, operating systems, file systems, virtualization, networks, data services, security technologies, programming languages, and development tools and processes.
The document discusses various topics related to data storage and performance optimization at EMC Corporation including hardware, software, certification, defining problems, marketing versus optimization, and winning performance races. It emphasizes the importance of configuration, testing, and analysis for certification and optimization.
The document discusses how data growth is breaking traditional storage approaches and how modern applications are also challenging traditional storage. It proposes that software-defined storage using commodity platforms can help address these issues by providing storage services on these platforms across global infrastructures with reduced overhead the more data centers that are used.
Самые частые проблемы и пути решения при росте нагрузки и масштабировании про...Andrew Minkin
ы начали делать проект и запустили его в продакшн. Со временем пользователей становится больше и текущих ресурсов вам начинает не хватать. В этом докладе я расскажу о основных путях борьбы с нагрузкой, путях решения и проблемах, связанных с ними.
В докладе мы поговорим о:
0. Что такое нагрузка? Пути борьбы с нагрузкой. Оптимизация кода, кеширование, масштабирование
1. Какие проблемы возникают при внедрении кеширования
2. Как оценивать качество работы кеширования?
3. Путь масштабирования и борьба за ресурсы
4. Проблемы балансировки
5. Проблемы БД. Конкурентный доступ и данным и целостность их
Пути решения проблем будут на примере Python/Django
Самые частые проблемы и пути решения при росте нагрузки и масштабировании про...Mad Devs
Презентация описывает самые частые проблемы и пути их решения при росте нагрузки и масштабировании проекта.
The presentation describes the most frequent problems and solutions for increasing loads and scaling of projects.
Автор: Андрей Минкин / Andrew Minkin
Самые частые проблемы и пути решения при росте нагрузки и масштабировании про...Andrew Minkin
ы начали делать проект и запустили его в продакшн. Со временем пользователей становится больше и текущих ресурсов вам начинает не хватать. В этом докладе я расскажу о основных путях борьбы с нагрузкой, путях решения и проблемах, связанных с ними.
В докладе мы поговорим о:
0. Что такое нагрузка? Пути борьбы с нагрузкой. Оптимизация кода, кеширование, масштабирование
1. Какие проблемы возникают при внедрении кеширования
2. Как оценивать качество работы кеширования?
3. Путь масштабирования и борьба за ресурсы
4. Проблемы балансировки
5. Проблемы БД. Конкурентный доступ и данным и целостность их
Пути решения проблем будут на примере Python/Django
Самые частые проблемы и пути решения при росте нагрузки и масштабировании про...Mad Devs
Презентация описывает самые частые проблемы и пути их решения при росте нагрузки и масштабировании проекта.
The presentation describes the most frequent problems and solutions for increasing loads and scaling of projects.
Автор: Андрей Минкин / Andrew Minkin