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What is distributed tracing and why does it matter?

Dynatrace

Traditional software monitoring platforms collect observability data in three main formats: Logs: Timestamped records of an event or events. Especially in dynamic microservices architectures, distributed tracing is essential to monitor, debug, and optimize distributed software architecture, such as microservices.

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What is distributed tracing and why does it matter?

Dynatrace

Traditional software monitoring platforms collect observability data in three main formats: Logs: Timestamped records of an event or events. Especially in dynamic microservices architectures, distributed tracing is essential to monitor, debug, and optimize distributed software architecture, such as microservices.

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Fallacy #8: The network is homogeneous

Particular Software

Around 2005 or 2006, it wasn’t so bad. Most of the code running on the planet, at least the code that mattered, was written in.NET or Java, and interoperability via web services was at least serviceable. Consider for a moment a software system for a hospital emergency room. Now consider a software system for a pharmacy.

Network 98
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Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

Dynatrace

Technical complexity has shifted from the actual code to the interdependencies between services. An effective solution to this problem must be able to handle scale, depth, breadth, and heterogeneity across the software lifecycle. FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes.

Analytics 159
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An Unbelievable Demo

Brendan Gregg

I was an independent performance consultant and Sun Microsystems had just released DTrace, a tool that could instrument all software. tools (2006). But I _did_ understand these tools, since I had coded similar functionality for my own DTraceToolkit. It was 2005, and I felt like I was in the eye of a hurricane. DTraceToolkit v0.96

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The Rise of Value Stream Management (VSM)

Tasktop

In 2006, I got a call from a Forrester analyst. I was in the midst of wrapping up my thesis and spending most of my days coding, and had no clue as to why an analyst would want to talk to me. It had a good decade-long run and helped get many people thinking beyond the code, to the lifecycle of the application as a whole.

Metrics 90
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Real-Real-World Programming with ChatGPT

O'Reilly

If you’re reading this, chances are you’ve played around with using AI tools like ChatGPT or GitHub Copilot to write code for you. So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. or “ha look how incompetent it is … it couldn’t even get my simple question right!”