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How executives reveal breakthrough insights into customer experiences with Dynatrace to accelerate business growth

Dynatrace

Consolidate real-user monitoring, synthetic monitoring, session replay, observability, and business process analytics tools into a unified platform. Real-time customer experience remediation identifies and informs the organization about any issues and prevents them in the experience process sooner.

Analytics 286
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Customer expectations for retail: Beyond digital experience

Dynatrace

Let’s shift our focus to the backend systems and business processes, the behind-the-scenes heroes of end-to-end customer experience. These retail-business processes must work together efficiently to orchestrate customer satisfaction: Inventory management ensures you can anticipate and meet dynamic customer demand.

Retail 246
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Netflix Studio Engineering Overview

The Netflix TechBlog

In an effort to effectively and efficiently produce this content we are looking to improve and automate many areas of the production process. Production: Enable content creation from script to screen that optimizes the production process for efficiency and transparency. What’s Next?

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Designing Instagram

High Scalability

There are two major processes which gets executed when a user posts a photo on Instagram. Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity.

Design 334
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Continuous integration and continuous delivery (CI/CD): How it enhances DevOps and continuous deployment

Dynatrace

CI/CD is a series of interconnected processes that empower developers to build quality software through well-aligned and automated development, testing, delivery, and deployment. As Deloitte reports, continuous integration (CI) streamlines the process of internal software development. Continuous integration streamlines development.

DevOps 299
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How Amazon is solving big-data challenges with data lakes

All Things Distributed

That's why, in 2019, they had an idea: Build a data lake that can support one of the largest logistics networks on the planet. Data lakes don't require a pre-defined schema, so you can process raw data without having to know what insights you might want to explore in the future.

Big Data 192
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Five observability predictions for 2025

Dynatrace

Consider these examples: A logistics company could leverage preventive observability to identify potential bottlenecks in supply chains and reroute shipments before delays occur. In healthcare , observability could predict system slowdowns during critical periods, ensuring seamless patient care.

Energy 241