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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Yearly Archives: 2015
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.