All these (Dropwizard) metrics

Lets look again at metrics. This time from the perspective of their definition and usability. It was not easy for me to understand types of metrics and how to read them. Which metrics are useful and therefore should be paid attention to? This blog post will focus on Dropwizard metrics with a sample application for a bit of practice.

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Cloud Developer Days takeaways

The first conference Cloud Developer Days has ended two weeks ago. It took place 28 – 29 May 2018 @ Cracow, Poland. I haven’t come across a similar conference in my country before, i.e. the one that would be focused on cloud in general and not on a specific technology.

The main focus was on Cloud Security,  Machine Learning, Artificial Intelligence, Serverless and Blockchain.

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Apache Kafka Ideas – Part 3

Consumer Groups

So far the following ideas have been introduced: topic, message, partition, producer, consumer and broker. By now, you should understand how Kafka stores messages on disk using commit log, topics and partitions. You should also know how a message is structured.

It’s time to introduce consumer groups, which are the missing piece of message distribution in Kafka.

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Apache Kafka Ideas – Part 2

The Topic, the Message and the Partition

Traditional messaging patterns: message queue and publish – subscribe, have some limitations as a result of their design.

In the previous post – Apache Kafka Ideas – Part 1, a couple of messaging use cases were introduced. In order to define those cases with Kafka, it is important to understand its ideas. At the very heart of Kafka are topics and partitions. This post explains basic concepts behind them.

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