Afs manager

The document describes the process that a Redis command follows from the client side to the server side. On the client side, the command is sent over the network to the Redis server. On the server side, the command is read from the kernel buffers, validated, executed by calling the relevant command handler, and the response is written back to the client over the network. The core functions involved on the server side are ReadQueryFromClient(), ProcessInputBuffer(), ProcessCommand(), Call(), and handleClientsWithPendingWrites(). Redis 6.0 introduced I/O threads to handle reads and writes in parallel for improved performance while still maintaining Redis' single-threaded processing model.

RightScale Conference Santa Clara 2011: Looking for configurations that work across clouds? Want to pull configurations from Git? Learn how RightScriptsTM and Chef power ServerTemplates. We will present best practices for modular, agile configuration management.

This document summarizes a presentation about Redis version 6 and beyond. Some key points include: - Redis version 6 includes new features like ACL for security, client-side caching, diskless replication, and multi-threaded I/O. - Redis is positioned as both a cache and a database due to its speed, data structures, and ability to handle complex data models through modules. - Redis Enterprise provides additional capabilities like durability, high availability, geo-distribution, security and multi-tenancy. - Modern data models in Redis modules include Streams, RediSearch, RedisGraph, RedisTimeSeries, RedisAI, RedisJSON and RedisBloom. - RedisInsight is

This document discusses innovations in storage infrastructure for multi-tenant cloud environments. It describes how virtualization led to challenges around networking, management complexity and storage performance degradation when scaling. OpenStack was created to provide AWS-like functionality outside of AWS through common interfaces and abstraction of resources like storage, networking and virtual machines. Cinder and Swift are introduced as OpenStack's block storage and object storage services. Cinder provides block storage volumes for virtual machines through a plug-in architecture that supports various backends. SolidFire is highlighted as a scale-out block storage system designed for OpenStack that eliminates noisy neighbors through fine-grained quality of service controls and other features.

The .NET CLR Hosting API allows a native application to host and control the .NET Common Language Runtime (CLR). This enables: 1. Customizing the CLR's runtime behavior through policies, assembly loading, memory management, and more. 2. Monitoring and debugging CLR applications through profiling and debugging APIs. 3. Integrating the CLR into native applications and environments like device drivers through a hosting interface.

This document discusses integration in the age of DevOps. It describes how microservices help solve the problem of decoupling services and teams to move quickly at scale. Apache Camel is presented as a solution for integration that allows for reliable and distributed integration through mechanisms like messaging. Kubernetes and Docker are discussed as platforms that help develop and run microservices locally and at scale by providing automation, configuration, isolation and service discovery capabilities.

This document provides an overview of OpenStack Block Storage (Cinder) and how it addresses challenges of scaling virtual environments. It discusses how virtualization led to cloud computing with goals of abstraction, automation, and scale. OpenStack was created as open source software to build and manage clouds with common APIs. Cinder provides block storage volumes to OpenStack instances, managing creation and attachment. SolidFire's storage system offers comprehensive Cinder support with guaranteed performance, high availability, and scale for production use.

These slides were originally presented as part of a workshop on microservices at CASCON in Markham, ON on Oct. 29, 2018.

JDays talk on JCache and JavaEE on Payara Micro. Code is available on GitHub http://github.com/smillidge/JDays2016.

Начинаем новый проект. Платформа - .Net, язык программирования - C#, база данных - SQL Server. Как будем работать с базой данных? ORM. Скорее всего Entity Framework. Можно начинать. К сожалению, этого набора уже достаточно для старта проекта :) но недостаточно для безболезненного его запуска и развития. В этом докладе мы поговорим об опасностях, которые скрываются в недрах ORM и о том, как можно попробовать уберечь себя и свой проект о�� них.

This document discusses two approaches to integrating a Flex client with the Alfresco content repository. The first approach uses custom Java services and serialization between Flex and Java objects, while the second approach uses Alfresco WebScripts which allow accessing the repository via HTTP requests without additional server-side components. The second approach is considered easier to deploy but has less functionality than directly using the Alfresco API. Both approaches provide a customizable interface for users to access content stored in Alfresco.

This document provides an overview of using Cloudant as a NoSQL database with XPages applications. It discusses why the author chose Cloudant for an HR application, introduces Cloudant and how it works, explains how to connect to Cloudant from XPages using a Cloudant connector plugin, and demonstrates storing and retrieving jobs, attachments, and search data from Cloudant in an XPages application. The document contains code examples for Cloudant DAOs, controllers, and services to interact with Cloudant from the backend and display data in XPages.

Nicholas Scott's presentation on tuning Nagios performance. The presentation was given during the Nagios World Conference North America held Sept 27-29th, 2011 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/nwcna

This is the presentation at Percona Live 2015 on MySQL, MariaDB and Percona Orchestration on bare metal, virtualised environments and clouds (AWS and OpenStack).

Utilising messaging in cloud deployments isn't straightforward, particularly if you want to take advantage of auto scaling. This talk covers the general problems of scaling for cloud deployments, and messaging for faster inter-service communication for Microservices