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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. Now let’s look at how we designed the tracing infrastructure that powers Edgar. The process started with manual pull of member account information that was part of the session.

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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

Generative AI poised to have impact by automating software development, report says – blog According to ESG research, generative AI will change software development activities from quality assurance to CI/CD pipeline configuration. In this blog, Carolyn Ford recaps her discussion with Tracy Bannon about AI in the workplace.

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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud.

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What is platform engineering?

Dynatrace

A platform encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications. Platform engineers design and implement these platforms, as well as ensure their security, scalability, and reliability. The result is a cloud-native approach to software delivery.

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Automate CI/CD pipelines with Dynatrace: Part 1, Build stage

Dynatrace

In the first blog post of this series , we explored how the Dynatrace ® observability and security platform boosts the reliability of Site Reliability Engineers (SRE) CI/CD pipelines and enhances their ability to focus on innovation. Infrastructure layer (Kubernetes Cluster, GCP, Standalone server, etc.)

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration.

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Legacy Architecture Modernisation With Strategic Domain-Driven Design

Strategic Tech

Before jumping into either of those scenarios, have a look at what Strategic Domain-Driven Design can offer you. High-level Process Sections Conceptually, there are three major sections to a modernisation process. This means a software architecture should be purposely designed for the most favourable business consequences.