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Shift right in software development: Adapting observability for a seamless development experience

Dynatrace

In all seriousness, the shift-left mantra has shaken things up quite a bit in the tech industry, bringing a paradigm shift in how we approach software development. Today, engineers are spending an increasing amount of time developing and testing code in production-like environments.

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Business Flow: Why IT operations teams should monitor business processes

Dynatrace

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. Most business processes are not monitored. First and foremost, it’s a data problem.

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

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Protecting critical infrastructure and services: Ensure efficient, accurate information delivery this election year

Dynatrace

Government agencies aim to meet their citizens’ needs as efficiently and effectively as possible to ensure maximum impact from every tax dollar invested. This capability allows teams can detect and resolve issues to keep systems ¾ including critical infrastructure and services ¾ efficient and reliable, and citizens satisfied.

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DevOps monitoring tools: How to drive DevOps efficiency

Dynatrace

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. The DevOps approach breaks up projects into modular components that development teams build in parallel by working closely with operations and business stakeholders.

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Incremental Processing using Netflix Maestro and Apache Iceberg

The Netflix TechBlog

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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The Art of CI/CD Optimization: Mastering Techniques for Workflow Efficiency

DZone

Organizations must optimize their workflows and processes to truly harness the power of CI/CD. This blog will explore various techniques and best practices for optimizing your CI/CD workflow, ensuring maximum efficiency and productivity.