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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Book Review: Mastering ElasticSearch

elasticsearchPackt recently asked me to review their new publication Mastering ElasticSearch by Rafał Kuć and Marek Rogoziński. Since most of my experience with elasticsearch has been from a systems points of view — index management, cluster maintenance, indexing performance — I paid most attention to the chapters about those parts of elasticsearch.

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Infrastructure at Scale: Apache Kafka, Twitter Storm and elasticsearch

storm_logoAWS have posted the video online of Jim Nisbet’s and my talk at AWS:reinvent 2013. In it, Jim and I describe the system we built at Loggly, which uses Apache Kafka, Twitter Storm, and elasticseach, to build a high-performance log aggregation and analytics SaaS solution, running on AWS EC2.

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Speaking at AWS re:Invent 2013

amazon.com_web_servicesThis past week I had the opportunity to speak, with my colleague Jim Nisbet, at AWS re:Invent 2013. Titled “Unmeltable Infrastructure at Scale: Using Apache Kafka, Twitter Storm, and Elastic Search on AWS“, Jim and I described the architecture of Loggly’s next-generation log aggregation and analytics Infrastructure, which went live 3 months ago, and runs on AWS EC2.

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Avoiding elasticsearch split-brain

elasticsearchLoggly recently held an elasticsearch meetup, which was a great success. One question that was repeatedly asked was how to ensure elasticsearch does not suffer a partition — known as a split-brain.

This can be a particular problem in AWS EC2, where the network is subject to interruptions. It can also happen if the elasticsearch master node performs long garbage collection cycles.

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Loggly Generation 2 Released!

logglyAfter 14 months of hard work, the next generation of Loggly has been released. It’s been a great time to be part of the Software Infrastructure team at Loggly and we have put together a superb log aggregation & real-time analytics platform.

We used a combination of custom log Collectors, Apache Kafka, Twitter StormElasticSearch, and lots of secret sauce. You can find more details about the technology stack from my Loggly blog post.

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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Philip O'Toole