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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

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. Automation, automation, automation.

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Growth Engineering at Netflix- Creating a Scalable Offers Platform

The Netflix TechBlog

We need to be constantly adapting and innovating as a result of this change. The Growth Engineering team is responsible for executing growth initiatives that help us anticipate and adapt to this change. This was a perfectly sufficient design for many years. To name a few: Updating XML files is error-prone and manual in nature.

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Demystifying Interviewing for Backend Engineers @ Netflix

The Netflix TechBlog

The interview panel consists of two or three engineers, a hiring manager and a recruiter. The engineers assess your technical skills by asking you to solve various design and coding problems. The interview panel comprises an engineering director, a partner engineer or manager, and another engineering leader.

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Computational Causal Inference at Netflix

The Netflix TechBlog

In order to gain broad software integration of causal effects models, a significant investment in software engineering, especially in computation, is needed. Finally, the scalability makes computation for large engineering systems tractable, reducing engineering risk.

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SRE vs DevOps: What you need to know

Dynatrace

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?

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DevOps observability: A guide for DevOps and DevSecOps teams

Dynatrace

As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. According to recent Dynatrace research , organizations expect to make software updates 58% more frequently in the coming year.

DevOps 207
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. Platform engineering involves building internal platforms to provide a self-service library to software developers.