Tag Archives: programming

Increasing bleve indexing performance with sharding

bleve-logoSearch is everywhere. Once you’ve built search systems, you see its potential application in many places. So when I came across bleve, an open-source search library written in Go, I was interested in learning more about its feature set and its indexing performance. And I could see immediately one might be able to shard it to improve performance.

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Software Development for Infrastructure

Bjarne Stroustrup has another very interesting paper on his website.  Titled Software Development for Infrastructure, it discusses some key ideas for building software that has “…more stringent correctness, reliability, efficiency, and maintainability requirements than non-essential applications.”  It is not a long paper, but offers useful observations and guidelines for building such software systems.

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Evolving a language in and for the real world: C++ 1991-2006

c_0Bjarne Stroustrup has great paper on his website titled Evolving a language in and for the real world: C++ 1991-2006. It provides fascinating insights on the development of the language, the challenges involved, and discusses interesting design ideas. If you have even a basic understanding of C++, it’s a such a worthwhile read.

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Replicating SQLite using Raft Consensus

raft-logoSQLite is a “self-contained, serverless, zero-configuration, transactional SQL database engine”.  However, it doesn’t come with replication built in, so if you want to store mission-critical data in it, you better back it up. The usual approach is to continually copy the SQLite file on every change.

I wanted SQLite, I wanted it distributed, and I really wanted a more elegant solution for replication. So rqlite was born.
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What I wish I’d been told about the JVM

Java_logoJava is the predominant language of Big Data technologies. HBase, Lucene, elasticsearch, Cassandra – all are written in Java and, of course, run inside a Java Virtual Machine (JVM). There are some other important Big Data technologies, while not written in Java, also run inside a JVM. Examples include Apache Storm, which is written in Clojure, and Apache Kafka, which is written in Scala. This makes basic knowledge of the JVM quite important when it comes to deploying and operating Big Data technologies.

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How you should write software design documents

scrollIn my last blog post I explained why writing design documents is such a powerful approach to building well-engineered systems. But what should one document? When it comes to software, if one documents too much, the content of the documentation can become inaccurate very quickly, and inaccurate documentation is quickly ignored.

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Why you should write software design documents

scrollMany software engineers never write design documents. Design documentation takes time, and implementations often proceed so far without any documentation that if it happens, it’s an act of recording what has been done — a tedious task at the best times.

Many software engineers argue “the code exists, it’s running, it’s working, let’s move on and build the next thing.”

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Technical Leadership through Testing

As technical lead at Loggly, responsibility for a well-engineered infrastructure ends with me. And one way to ensure the system is designed and implemented well is to stay as close as possible to the code, ensuring that the team and I write quality software.

But it can be difficult to complete the design and implementation of the features I am responsible for, ensure that what the team produces is well-implemented, and understand every line of code — there is only so much time in the day.

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Monitoring Storm Kafka Spouts using Python

kafka-logo-tallWhen running a large real-time processing system, monitoring is critical. But it does more than allow you to keep an eye on your system. During development it allows you test hypotheses about how it works, how it performs when certain parameters are changed, and takes the guessing out of working with dynamic systems.

Storm, a real-time computational framework open-sourced by Twitter, is such a system and comes with a Spout, allowing messages to be streamed from a Kafka Broker.

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