Spring Boot and Spring Cloud are relatively newer additions to the Spring portfolio. Boot makes it faster to spin up your project with less configuration (and an opinionated programming model). Spring Cloud brings in techniques and tools to efficiently standup distributed applications. In a previous blog I had noted my ramblings on API/Microservices style. If you take that path and have more than a handful of API’s then you will need some of the capabilities of what Spring Boot and Spring Cloud offer.
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Author Archives: Mathew
Running ElasticSearch in Production
(Updated version. Originally Published on: Nov 3, 2013) Here are some things to keep in mind as you go about designing your ElasticSearch cluster. Many of these are from real life experiences and IMO are the basic common sense items you should consider. In addition to these settings noted here, there maybe other settings that are relevant to your use case.
API and Microservices ramblings…
In the tech world one cannot stay a day away from hearing the words API or Microservices. For those who work in startups or tech firms (google type) these are well understood. But once you walk into large non-tech firms, these words are not as well understood.
Ganglia on AWS
Experimenting with Ganglia to monitor my nodes. More detailed steps to come.
Log Analysis with ELK
While I had the privilege of using ElasticSearch to implement media analytics in a past role, it is only recently that I have started looking at it for log analysis.
Managing database migrations with Flyway
Just came across a nice tool to manage database migrations – flyway. Flyway lets you manage your database changes in text files and migrates them in a systematic and repeatable manner.
Apache Hadoop MapReduce (Pseudo-Distributed mode)- Part 2
In this article we will run the example from Part-1 in pseudo-distributed single server mode. Most of the configuration details are clearly laid out on the Hadoop site at Setting Up Single Server Pseudo-Distributed mode. For the sake of additional clarity I will note them here and also run our previous job from Part-1 against the new cluster. I assume that you already have Hadoop downloaded and setup from the previous article.
Note: Updated to Hadoop 2.4.1 and re-published from original Sept 28th, 2011 blog.
Apache Hadoop MapReduce (Local Mode) – Part 1
Hadoop is a framework that allows you to process large sets of unstructured or semi-structured data. The unstructured/semi-structured nature of the data and the sheer size (terabytes or petabytes) make the current RDMS offerings come short. Enter Apache Hadoop.
Note: Updated to Hadoop 2.4.1 and re-published from original Sept 28th, 2011 blog. Continue reading
Faceted search with ElasticSearch
I have been playing with ElasticSearch for a while now, both at work as well as personally. In recent discussions I came across a use case to perform faceted searches and figured this would be a good topic for a blog post. Lets explore by example how to implement faceted searches using both the older facet module as well as the newer aggregations module.
Career roles for senior techies…
Highly experienced & passionate technologists have a challenging task in terms of figuring out their career strategies. For some this process of self discovery and adjustment works itself out quick, but for others its a harder journey. A passionate technologist often feels the need to be exposed to new cutting edge technologies and at the same time expects appropriate career growth and recognition.