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Dynatrace launches automatic end-to-end observability via traces for AWS Lambda (Preview program)

Dynatrace

Before you begin, be sure to sign-up for the Preview program. Once you’ve received your invitation to the Preview program you need to: 1. How to participate in the Preview Program. So please stay tuned! This means that you can easily see how your AWS Lambda functions are integrated into your overall service landscape.

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Rethinking Programming: Automated Observability

DZone

Compared to monoliths, it’s much harder to troubleshoot issues and do performance tuning in microservices deployments. Especially when we are moving away from monolithic software systems to microservices-based architectures, observability becomes a key aspect of the system design.

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Real-Real-World Programming with ChatGPT

O'Reilly

The inspiration (and title) for it comes from Mike Loukides’ Radar article on Real World Programming with ChatGPT , which shares a similar spirit of digging into the potential and limits of AI tools for more realistic end-to-end programming tasks. Setting the Stage: Who Am I and What Am I Trying to Build?

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How To Reduce CPU Consumption Caused by Garbage Collection

DZone

All the modern programming languages such as Golang, Node.js, Java,NET, Python, etc. In an effort to reduce cloud hosting costs, recently, Uber tuned their garbage collection to reduce CPU utilization. do automatic garbage collection to remove unreferenced objects from memory.

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Unleash Peak Performance in Java Applications: Overview of Profile-Guided Optimization (PGO)

DZone

Profile-Guided Optimization (PGO) stands as a potent technique capable of substantially enhancing the efficiency of your Java programs. By harnessing runtime profiling data, PGO empowers developers to fine-tune their code and apply optimizations that align with their application's real-world usage patterns.

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How to fine tune failure detection

Dynatrace

How to fine-tune failure detection. Many years ago, C programs were very common and most of them relied on return codes to highlight problems. The post How to fine tune failure detection appeared first on Dynatrace blog. This means that all the real failures (i.e. not data errors) will be picked up automatically.

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Tech Transforms podcast: How one federal agency is embracing AI to support and empower its cyber workforce

Dynatrace

But if you don’t take the time to train the workforce in the programs or the systems you’re bringing online, you lose that effectiveness. Additionally, as the program gathers more data, it will enable predictive analytics to forecast future talent and skill deficits.