Full Text Search With Elasticsearch

Full text search seems to be an easy problem but when taking a closer look we will find out that is problem is actually more complex. This blogpost is here to guide you through full text search and which trad-offs to make. The basics: Analyzers, tokenizers and filters Within Elasticsearch you will find the terms like analyzers, tokenizers and filters all over the place. Let’s figure out what they and what that means.
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My first true Elasticsearch learnings

Sometimes you just play around with a technology without using it in professional environment. You learn some very useful stuff but that’s it. You might think it’s super easy to use until you’re going to use it in real professional environment. This is how I learned Elasticsearch the hard way. Multi-tenancy At moment of writing I’m working at a SaaS company called Bynder and like every SaaS company we need a multi-tenancy setup.
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Taking more ownership with three simple metrics.

Metrics and monitoring, a lot of developers have probably seen those big television screens or looked on the computer screens in the room where all the (dev)ops people are sitting. When something goes down those people instantly seems to know what to do after staring a few seconds to their screen. Taking ownership of your application. Although we are used that our colleagues from (dev)ops have these tools but we to have to face that we as developers needs these toold as well in order to take responsibility.
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