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Distributed Tracing with Zipkin and ELK

While logs can tell us whether a specific request failed to execute or not and metrics can help us monitor how many times this request failed and how long the failed request took, traces help us debug the reason why the request failed, or took so long to execute by breaking up the execution flow and dissecting it into smaller events.

How to Harness the Power of Open Source and Manage its Vulnerabilities

Open source has come a long way. Open source components are the building blocks of arguably every organization’s software. According to Stack Overflow’s 2018 developer survey results, nearly half of professional developers contribute to open source projects, and 40% listed contribution to open source software as part of their non-formal learning background.

Combining Log Analysis with Continuous Delivery to Reduce Release Cycle Times

One of the biggest challenges in the field of log analysis is being able to connect the dots and understand the underlying story connecting them. Applications and machines are generating an increasing amount of log data, making it extremely difficult to separate the wheat from the chaff.

So What is Observability Anyway

It’s amazing. It’s brand new. Everyone needs it. It is “the next best thing”. Only half of these statements are true, it is not new and it is not the next best thing. It is branding an existing paradigm that many companies use and rely on—but—it is amazing and everyone should want it. If you’re new to the concept, what does observability really mean and how can it help transform your operations?