InfoQ Homepage DevOps Content on InfoQ
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Big Data Security: The Evolution of Hadoop’s Security Model
In his new article, Kevin T Smith focuses on the importance of Big Data Security and he discusses the evolution of Hadoop's security model. He addresses the current trends in Hadoop security implementations and provides an overview of the details of project Rhino aimed to improve the security capabilities of Hadoop and the Hadoop ecosystem.
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Book Review: "Nagios: Building Enterprise-Grade Monitoring Infrastructures for Systems & Networks"
David Josephsen recently published this book which contains best practices for building monitoring infrastructure, lessons in operational theory focused on the usage of Nagios, and practical guidance for implementing Nagios. David wrote the book in a way primarily useful for system engineers and enterprise architects, though it has information relevant to most roles in technology.
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How to Provide SQL Access to NoSQL Type Data using Multi-Record Type
In this article, author Randal Hoff shows how to use Multi-Record Type pattern to provide both NoSQL and SQL access to c-treeACE data that combines multiple schemas in a single table.
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The Virtual Tug of War
Technology professionals have always fought an unrelenting war not dissimilar to feud between the Hatfields and McCoys – a continuous conflict with no winners. In the world of IT, this is a battle over security and performance fought by security professionals and network administrators. These two factions have always had to barter and maintain an uneasy truce in organizations in order to survive.
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Spoilt for Choice – How to choose the right Big Data / Hadoop Platform?
In his new article Kai Wähner compares several alternatives for installing a version of Hadoop and realizing big data processes. He compares distributions and tooling from Apache and many other vendors including Cloudera, HortonWorks, MapR, Amazon, IBM, Oracle, Microsoft. He additionally describes pros and cons of every distribution and provides a decision tree for choosing a most appropriate one.
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Key Takeaway Points and Lessons Learned from QCon New York 2013
The main takeway points and lessons learned from QCon New York 2013 as seen by the many attendees who blogged about QCon. Experience QCon through the opinions of the attendees!
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Cassandra Mythology
In this article, author Jonathan Ellis addresses the concerns of using Apache Cassandra NoSQL database, in terms of architecture, deployment and configuration, performance, query language (CQL), and database maturity.
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Virtual Panel: Performance Tuning Face-Off
In the world of application delivery, performance tuning still seems to elude the mainstream. InfoQ spoke to five luminaries of the performance monitoring space about why and what can be done. The result was quite an active debate. Members of the virtual panel: • Ben Evans • Charlie Hunt • Kirk Pepperdine • Martin Thompson • Monica Beckwith
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Jepsen: Testing the Partition Tolerance of PostgreSQL, Redis, MongoDB and Riak
Distributed systems are characterized by exchanging state over high-latency or unreliable links. The system must be robust to both node and network failure if it is to operate reliably--however, not all systems satisfy the safety invariants we'd like. In this article, we'll explore some of the design considerations of distributed databases, and how they respond to network partitions.
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DevOps @ Rafter
This article is part of the “DevOps War Stories” series. Each month we hear what DevOps brings to a different organisation, we learn what worked and what didn’t, and chart the challenges faced during adoption. In this issue Chris Williams explains how Rafter grew from one developer taking care of system administration tasks to a full-fledged DevOps team that supports the whole business.
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Interview and Book Review: The LogStash Book, Log Management Made Easy
James Turnbull makes a compelling case for using Logstash for centralizing logging by explaining the implementation details of Logstash within the context of a logging project. The book targets both small companies and large enterprises through a two sided case; both for the low barrier to entry and the scaling capabilities.
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Interview and Video Review: Working with Big Data: Infrastructure, Algorithms, and Visualizations
Paul Dix leads a practical exploration into Big Data in this video training series. The first five lessons of the training span multiple server systems with a focus on the end to end processing of large quantities of XML data from real Stack Exchange posts. He completes the training with a lesson on developing visualizations for gaining insights from the macro level analysis of Big Data.