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Sustainability: Thoughts from a software engineer

Dynatrace

For example, reporting jobs can process monthly data without running exactly at the end of the month. The post Sustainability: Thoughts from a software engineer appeared first on Dynatrace news. Schedule workloads intentionally Not every workload needs to run immediately or close to the user.

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Low-Maintenance Backend Architectures for Scalable Applications

DZone

After years of working in the intricate world of software engineering, I learned that the most beautiful solutions are often those unseen: backends that hum along, scaling with grace and requiring very little attention. Developers could understand and manage the entire systems intricacies.

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Do’s and Don’ts for Software Engineer Job Interview

DZone

In my estimation, I have given over 2,500 interviews in my career, the bulk of them for Software Engineer positions. I have been interviewing Software Engineers for over 25 years and in my current role as CEO of Solution Street, I conduct, on average, two interviews a week. Do’s for a Software Engineer Job Interview.

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Incremental Processing using Netflix Maestro and Apache Iceberg

The Netflix TechBlog

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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5 powerful use cases beyond debugging for Dynatrace Live Debugger

Dynatrace

This powerful tool can be leveraged across various environments, including production, to enhance development processes and ensure robust application performance. Following are some of the coolest things weve seen engineers do with Live Debugger. Live snapshot includes variables, process, stack trace, and tracing information.

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SRE vs DevOps: What you need to know

Dynatrace

DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes. DevOps is not a specific process, but rather a general collection of flexible software creation and delivery practices that looks to close the gap between software development and IT operations.

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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data.