Availability Infrastructure Scalability Software Engineering 
Dynatrace
NOVEMBER 3, 2023
With growing multicloud complexity and the need for organization-wide scalability, self-service and automation capabilities have become increasingly essential for developer productivity. In response to this shift, platform engineering is growing in popularity. The result is a cloud-native approach to software delivery.
Dynatrace
NOVEMBER 7, 2023
Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026.
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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.
The Netflix TechBlog
MARCH 25, 2019
Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can
Dynatrace
JULY 18, 2023
While infrastructure has historically been treated as a bottleneck where proper scaling and compute power are applied to improve performance, these aspects are now typically addressed by hyperscalers that offer cloud-based infrastructure and infrastructure as a service.
The Netflix TechBlog
FEBRUARY 1, 2022
It’s also a great opportunity for you to learn more about the available roles, the technical challenges the teams are facing and what it’s like to work on a backend engineering team at Netflix. If you want to practice, focus on medium-difficulty real-world problems you might encounter in a software engineering role.
Dynatrace
FEBRUARY 24, 2021
SRE is the transformation of traditional operations practices by using software engineering and DevOps principles to improve the availability, performance, and scalability of releases by building resiliency into apps and infrastructure. Investing in automation and tooling to avoid toil. SRE vs DevOps? Efficiency.
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