Dynatrace
MAY 23, 2024
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.
Dynatrace
NOVEMBER 3, 2023
Platform engineering is a practice that outlines how development teams build internal platforms to create self-service capabilities for software engineering teams. The result is a cloud-native approach to software delivery. Platform engineering cannot stand alone, however.
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Strategic Tech
MARCH 16, 2021
There are a few qualities that differentiate average from high performing software engineering organisations. In my experience, the culture is better and the results are better in orgs where engineers and architects obsess over the design of code and architecture. My experience is the opposite.
Dynatrace
JULY 18, 2023
As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. However, scaling up software development requires more tools along the software product lifecycle, which must be configured promptly and efficiently.
The Netflix TechBlog
OCTOBER 28, 2021
Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix. Pallavi, what’s your journey to data engineering at Netflix?
The Netflix TechBlog
FEBRUARY 1, 2022
You apply for multiple roles at the same company and proceed through the interview process with each hiring team separately, despite the fact that there is tremendous overlap in the roles. Interviewing can be a daunting endeavor and how companies, and teams, approach the process varies greatly.
The Netflix TechBlog
NOVEMBER 29, 2023
For a given rate-quality operating point, the DO process helps allocate bits among the various shots while maximizing an overall objective function. Additionally, the current version has some algorithmic limitations that we are in the process of improving before the official release. Krasula, A. Choudhury, S. Malfait, A.
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