In the previous three parts of our OpenTracing series, we provided an Overview of OpenTracing, explaining what OpenTracing is and does, how it works and what it aims to achieve, we looked at Zipkin – a popular open-source distributed tracer and then at Jaeger – a newer open-source distributed tracer developed under the CNCF umbrella. In this blog post – the last part of the OpenTracing series – we will compare Jaeger vs. Zipkin side by side!

Elasticsearch comes with good out-of-the-box Garbage Collection settings. So good in fact that the Definitive Guide recommends not changing them. While we agree that most use-cases wouldn’t benefit from GC tuning, especially when it turns out there simply isn’t enough heap, there are exceptions. We found that G1 GC, for example, works well on big heaps. This allows you to have less, bigger nodes, which in turn means less network traffic in a large cluster.

In the previous two parts of OpenTracing series, we provided a good OpenTracing overview, explaining what OpenTracing is and does, how it works and what it aims to achieve and looked at Zipkin – a popular open-source distributed tracer. In this blog post, we will look at Jaeger, a newer open-source distributed tracer developed under the CNCF umbrella.

The rather broad definition of personal data in the GDPR requires paying special attention to log data. GDPR and personal data in web server logs is a popular topic in many GDPR fora. For example, IP addresses or cookies might be considered personal data. Consequently, such data must be stored only with the consent of customers for a limited time. It is highly recommended to anonymize personal data before you hand over the logs to any 3rd party to minimize risk.