Remove Engineering Remove Processing Remove Software Engineering
article thumbnail

Sustainability: Thoughts from a software engineer

Dynatrace

For example, reporting jobs can process monthly data without running exactly at the end of the month. Platform engineers can set defaults for development teams, such as the number of replicas a service should have or whether it scales automatically. For instance, optimizing a frontend library can save resources for every website.

article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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.

article thumbnail

What is platform engineering?

Dynatrace

In response to this shift, platform engineering is growing in popularity. The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. The result is a cloud-native approach to software delivery. Why is platform engineering important?

article thumbnail

Our First Netflix Data Engineering Summit

The Netflix TechBlog

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

article thumbnail

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.

article thumbnail

Site reliability engineering: 5 things you need to know

Dynatrace

What is site reliability engineering? Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Dynatrace news. SRE focuses on automation.