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Practical business process monitoring for real-time business observability

Dynatrace

One of the more popular use cases is monitoring business processes, the structured steps that produce a product or service designed to fulfill organizational objectives. OneAgent business events require no code changes, just a simple configuration to define capture rules. Getting started is simple.

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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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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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Find vulnerabilities in your code—don’t wait for someone to exploit them

Dynatrace

With the increasing amount of sensitive information stored and processed, it’s essential to ensure that systems are secure and protected against potential threats. The deep insights into application code provided by OneAgent® help track potentially vulnerable data flow within an application.

Code 213
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Dynatrace to acquire Rookout to deliver code debugging in production environments

Dynatrace

Developers are increasingly responsible for ensuring the quality and security of code throughout the software lifecycle. Developer-first observability Adding Rookout to the Dynatrace platform will provide developers with increased code-level observability of Kubernetes-hosted production environments.

Code 220
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What is infrastructure as code? Discover the basics, benefits, and best practices

Dynatrace

The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. ” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example.

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Practical API Design at Netflix, Part 1: Using Protobuf FieldMask

The Netflix TechBlog

When we process a request it is often beneficial to know which fields the caller is interested in and which ones they ignore. How can we achieve a similar functionality when designing our gRPC APIs? This generated code contains classes for defined messages, together with message and field descriptors.

Design 246