Mongo db admin_20110316

Share point 2013 on azure

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This document discusses deploying SharePoint 2013 on Microsoft Azure infrastructure as a service (IaaS). It covers key Azure concepts like virtual networks, availability, disks, and virtual machines. Virtual networks allow grouping of virtual machines and enabling Active Directory. High availability is achieved through location, regions, affinity groups, and availability sets. Disk storage and performance considerations for databases and content are provided. Sample virtual machine configurations show optimal disk layout and sizing for SharePoint and SQL Server.

This is an intro to Sphinx and PHP. It will take you through the very basics of how Sphinx works, how you can set up an index, and using the mysql client to search your index. Then, it culminates in a quick little PHP script that builds a small search interface around your index. I will be posting the example code into my github account soon. This presentation was given to the LV PHP meetup on August 5th.

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Let's Compare: A Benchmark review of InfluxDB and Elasticsearch

In this webinar, Ivan K will compare the performance and features of InfluxDB and Elasticsearch for common time-series workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. Come hear about how Ivan conducted his tests to determine which time-series db would best fit your needs. We will reserve 15 minutes at the end of the talk for you to ask Ivan directly about his test processes and independent viewpoint.

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Nowadays, every single modern application, system or solution does expose a RESTful API. On one hand, this is absolutely great and it has led to where we are today, having hundreds of other solutions or applications that can leverage these APIs, extend them, or even build on top of them. On the other hand, we have difficulty monitoring these new and modern systems, applications or solutions. In this session, we will learn how to query the data first using Swagger, when available, extract and parse the data that’s useful for us, store it in InfluxDB, and finally how to create beautiful and meaningful dashboards to have everything on a single pane of glass.

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MongoDB @ fliptop

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The Practice of Alluxio in JD.com

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Mongo db resources_20111116

This document provides a list of resources for MongoDB administrators including the MongoDB website, forums, presentations, and alerts. It also recommends tools like Mongo Snippets on Github, GUI admin tools like MongoVUE and MongoHub, blogs, social media accounts, and IRC channels for additional help and information. The final section thanks the audience and provides contact details for the presenter.

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This document summarizes a presentation about monitoring MySQL at AOL. It discusses the tools used at AOL for MySQL monitoring including a MySQL webpage, Argus for metrics and alerts, and Nagios for fault detection. It covers the goals of monitoring, challenges faced, and resources for learning about MySQL monitoring. It also announces the creation of a new MySQL meetup group for the DC/Baltimore area.

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1. The document discusses the opportunities and challenges of a proposed public-private e-book platform in Flanders that would provide centralized long-term storage and facilitate exploitation of digital books. 2. It notes the importance of reading and libraries for education and culture, and argues that a government initiative is needed to ensure all players have access to content as the publishing industry shifts digital. 3. The proposed platform would leverage existing library collections and services, providing broad access to digital content through a collaborative model involving publishers, distributors, and other stakeholders.

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This document summarizes a presentation about MongoDB best practices and lessons learned. The presentation covers: an introduction to MongoDB and how it compares to SQL databases; supported platforms and drivers; common use cases and misuses; best practices including configuration options, indexing, and operations; lessons learned around updates, sharding, and embedding data; and resources for learning more including books, training, forums, and future MongoDB releases.

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