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How to evaluate modern APM solutions

Dynatrace

APM solutions track key software application performance metrics using monitoring software and telemetry data. It explains that APM tools “allow users to monitor and track the performance of particular software or web applications to identify and solve any performance issues that may arise. APM solutions: A primer.

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10 tips for migrating from monolith to microservices

Dynatrace

Use domain-driven design when creating new microservices by separating microservices via their underlying business functions. Security should be an integral part of each stage of the software delivery lifecycle, from development to monitoring in real time. When it comes to refactoring, teams should start with what they can understand.

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What Is a Workload in Cloud Computing

Scalegrid

High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research.

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Upcoming of the learned data structures

Abhishek Tiwari

Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community. This has far-reaching implications how future data systems and algorithms will be designed. Data structures are very foundational for the computer science and software engineering.

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Real-Real-World Programming with ChatGPT

O'Reilly

I really wanted to go beyond these quick gut reactions that I’ve seen so much of online, so I tried using ChatGPT for a few weeks to help me implement a hobby software project and took notes on what I found interesting. or “ha look how incompetent it is … it couldn’t even get my simple question right!” using “22” for the year 2022).

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What We Learned Auditing Sophisticated AI for Bias

O'Reilly

System designs can be wrong. In particular, NIST’s SP1270 Towards a Standard for Identifying and Managing Bias in Artificial Intelligence , a resource associated with the draft AI RMF, is extremely useful in bias audits of newer and complex AI systems. Data can be wrong. Predictions can be wrong.