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The right person at the right time makes all the difference: Best practices for ownership information

Dynatrace

More details on the supported ways of enriching your environment are described in Best practices for ownership information documentation. If certain naming conventions or key-value pairs are already used to tag services or apps with responsible teams, it’s possible to reuse the same keys easily. Contact us to schedule a demo.

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Best practices for accelerating Dynatrace APIs within large monitoring environments

Dynatrace

This blog post introduces the new REST API improvements and some best practices for streamlining API requests and decreasing load on the API by reducing the number of requests required for reporting and reducing the network bandwidth required for implementing common API use cases.

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A practical guide to monitoring Python Applications with Dynatrace

Dynatrace

The idea, and most of the content for this blog, comes from one of our Partners; Stephan Dannewitz , DevOps & Site Reliability Engineer at avodaq AG. If you’re developing, testing, operating, or if you’re a business owner of a Python-based application then I encourage you to read the rest of the blog. Yes – that’s it.

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Tutorial: Guide to automated SRE-driven performance engineering

Dynatrace

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. This is what this blog is all about. Its a detailed tutorial blog that explains how you can make the first steps towards SLI/SLO-based Quality Gates. For this blog I will be using the same Node.js

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Part 2: How Dynatrace and GitHub help you deliver better software faster

Dynatrace

This blog continues with more examples of Dynatrace’s Monitoring as Code (Monaco) and Service Level Objectives (SLOs) release validation using Dynatrace SaaS Cloud Automation. For orientation on the use cases in this blog series, refer to the picture below. Blog series use cases. In this example, new tagging rules are shown.

Software 206
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Digital Business Analytics: Let’s get started!

Dynatrace

Digital Business Analytics leverages this filtering paradigm by allowing you to add existing tags or properties from your application’s payload to the metadata that Dynatrace associates with each user action or session. Long a RUM best practice, these milestones are configured as conversion goals , leveraging common marketing terminology.

Analytics 209
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Ready-to-go sample data pipelines with Dataflow

The Netflix TechBlog

All the above commands are very likely to be described in separate future blog posts, but right now let’s focus on the dataflow sample command. Having a well-defined set of defaults for data pipeline creation across Netflix makes onboarding easier, provides standardization and centralization best practices.