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Site reliability engineering: Six SRE trends to unleash DevOps innovation

Dynatrace

Site reliability engineering (SRE) continues to gain popularity as organizations embrace hybrid cloud strategies and IT automation at scale. By applying software engineering principles to operations and infrastructure practices, SRE enables organizations to streamline and automate IT processes. Dynatrace news.

DevOps 147
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The State of DevOps Automation assessment: How automated are you?

Dynatrace

Automation thus contributes to accelerated productivity and innovation across the organization. Development & delivery automation: This section addresses the extent to which an organization automates processes within the software development lifecycle (SDLC), including deployment strategies, configuration approaches, and more.

DevOps 191
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A Note to Business Leaders on Software Engineering

Strategic Tech

You will be handing the initiative to your competitors who invested in their software development capabilities and are out-innovating you as a result. As a business leader, you should be asking three questions: Why is software development more complex than I thought? and business innovation speed plummets.

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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 203
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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.

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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. The integration of causal inference into engineering systems can lead to large amounts of new innovation. We also optimize for memory and data alignment.

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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. By 2024, over 50% of all IT spending will be directly put towards digital transformation and innovation (up from 31% in 2018).